1
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King MR, Ruff KM, Lin AZ, Pant A, Farag M, Lalmansingh JM, Wu T, Fossat MJ, Ouyang W, Lew MD, Lundberg E, Vahey MD, Pappu RV. Macromolecular condensation organizes nucleolar sub-phases to set up a pH gradient. Cell 2024; 187:1889-1906.e24. [PMID: 38503281 DOI: 10.1016/j.cell.2024.02.029] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2023] [Revised: 01/02/2024] [Accepted: 02/22/2024] [Indexed: 03/21/2024]
Abstract
Nucleoli are multicomponent condensates defined by coexisting sub-phases. We identified distinct intrinsically disordered regions (IDRs), including acidic (D/E) tracts and K-blocks interspersed by E-rich regions, as defining features of nucleolar proteins. We show that the localization preferences of nucleolar proteins are determined by their IDRs and the types of RNA or DNA binding domains they encompass. In vitro reconstitutions and studies in cells showed how condensation, which combines binding and complex coacervation of nucleolar components, contributes to nucleolar organization. D/E tracts of nucleolar proteins contribute to lowering the pH of co-condensates formed with nucleolar RNAs in vitro. In cells, this sets up a pH gradient between nucleoli and the nucleoplasm. By contrast, juxta-nucleolar bodies, which have different macromolecular compositions, featuring protein IDRs with very different charge profiles, have pH values that are equivalent to or higher than the nucleoplasm. Our findings show that distinct compositional specificities generate distinct physicochemical properties for condensates.
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Affiliation(s)
- Matthew R King
- Department of Biomedical Engineering, James McKelvey School of Engineering, Washington University in St. Louis, St. Louis, MO, USA; Center for Biomolecular Condensates, James McKelvey School of Engineering, Washington University in St. Louis, St. Louis, MO, USA
| | - Kiersten M Ruff
- Department of Biomedical Engineering, James McKelvey School of Engineering, Washington University in St. Louis, St. Louis, MO, USA; Center for Biomolecular Condensates, James McKelvey School of Engineering, Washington University in St. Louis, St. Louis, MO, USA
| | - Andrew Z Lin
- Department of Biomedical Engineering, James McKelvey School of Engineering, Washington University in St. Louis, St. Louis, MO, USA; Center for Biomolecular Condensates, James McKelvey School of Engineering, Washington University in St. Louis, St. Louis, MO, USA
| | - Avnika Pant
- Department of Biomedical Engineering, James McKelvey School of Engineering, Washington University in St. Louis, St. Louis, MO, USA; Center for Biomolecular Condensates, James McKelvey School of Engineering, Washington University in St. Louis, St. Louis, MO, USA
| | - Mina Farag
- Department of Biomedical Engineering, James McKelvey School of Engineering, Washington University in St. Louis, St. Louis, MO, USA; Center for Biomolecular Condensates, James McKelvey School of Engineering, Washington University in St. Louis, St. Louis, MO, USA
| | - Jared M Lalmansingh
- Department of Biomedical Engineering, James McKelvey School of Engineering, Washington University in St. Louis, St. Louis, MO, USA; Center for Biomolecular Condensates, James McKelvey School of Engineering, Washington University in St. Louis, St. Louis, MO, USA
| | - Tingting Wu
- Center for Biomolecular Condensates, James McKelvey School of Engineering, Washington University in St. Louis, St. Louis, MO, USA; Department of Electrical and Systems Engineering, James F. McKelvey School of Engineering, Washington University in St. Louis, St. Louis, MO 63130, USA
| | - Martin J Fossat
- Department of Biomedical Engineering, James McKelvey School of Engineering, Washington University in St. Louis, St. Louis, MO, USA; Center for Biomolecular Condensates, James McKelvey School of Engineering, Washington University in St. Louis, St. Louis, MO, USA
| | - Wei Ouyang
- Department of Bioengineering, Schools of Engineering and Medicine, Stanford University, Stanford, CA, USA; Department of Pathology, School of Medicine, Stanford University, Stanford, CA, USA; Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH-Royal Institute of Technology, Stockholm, Sweden
| | - Matthew D Lew
- Center for Biomolecular Condensates, James McKelvey School of Engineering, Washington University in St. Louis, St. Louis, MO, USA; Department of Electrical and Systems Engineering, James F. McKelvey School of Engineering, Washington University in St. Louis, St. Louis, MO 63130, USA
| | - Emma Lundberg
- Department of Bioengineering, Schools of Engineering and Medicine, Stanford University, Stanford, CA, USA; Department of Pathology, School of Medicine, Stanford University, Stanford, CA, USA; Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH-Royal Institute of Technology, Stockholm, Sweden
| | - Michael D Vahey
- Department of Biomedical Engineering, James McKelvey School of Engineering, Washington University in St. Louis, St. Louis, MO, USA; Center for Biomolecular Condensates, James McKelvey School of Engineering, Washington University in St. Louis, St. Louis, MO, USA
| | - Rohit V Pappu
- Department of Biomedical Engineering, James McKelvey School of Engineering, Washington University in St. Louis, St. Louis, MO, USA; Center for Biomolecular Condensates, James McKelvey School of Engineering, Washington University in St. Louis, St. Louis, MO, USA.
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2
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Mah CK, Ahmed N, Lopez NA, Lam DC, Pong A, Monell A, Kern C, Han Y, Prasad G, Cesnik AJ, Lundberg E, Zhu Q, Carter H, Yeo GW. Bento: a toolkit for subcellular analysis of spatial transcriptomics data. Genome Biol 2024; 25:82. [PMID: 38566187 DOI: 10.1186/s13059-024-03217-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2023] [Accepted: 03/14/2024] [Indexed: 04/04/2024] Open
Abstract
The spatial organization of molecules in a cell is essential for their functions. While current methods focus on discerning tissue architecture, cell-cell interactions, and spatial expression patterns, they are limited to the multicellular scale. We present Bento, a Python toolkit that takes advantage of single-molecule information to enable spatial analysis at the subcellular scale. Bento ingests molecular coordinates and segmentation boundaries to perform three analyses: defining subcellular domains, annotating localization patterns, and quantifying gene-gene colocalization. We demonstrate MERFISH, seqFISH + , Molecular Cartography, and Xenium datasets. Bento is part of the open-source Scverse ecosystem, enabling integration with other single-cell analysis tools.
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Affiliation(s)
- Clarence K Mah
- Division of Medical Genetics, Department of Medicine, University of California San Diego, La Jolla, CA, USA
- Department of Cellular and Molecular Medicine, University of California San Diego, La Jolla, CA, USA
- Sanford Stem Cell Institute Innovation Center, La Jolla, CA, USA
| | - Noorsher Ahmed
- Department of Cellular and Molecular Medicine, University of California San Diego, La Jolla, CA, USA
- Sanford Stem Cell Institute Innovation Center, La Jolla, CA, USA
| | - Nicole A Lopez
- Department of Cellular and Molecular Medicine, University of California San Diego, La Jolla, CA, USA
| | - Dylan C Lam
- Department of Cellular and Molecular Medicine, University of California San Diego, La Jolla, CA, USA
- Sanford Stem Cell Institute Innovation Center, La Jolla, CA, USA
- Division of Biological Sciences, University of California San Diego, La Jolla, CA, USA
| | - Avery Pong
- Department of Cellular and Molecular Medicine, University of California San Diego, La Jolla, CA, USA
| | - Alexander Monell
- Department of Cellular and Molecular Medicine, University of California San Diego, La Jolla, CA, USA
- Department of Bioengineering, University of California San Diego, La Jolla, CA, USA
| | - Colin Kern
- Center for Epigenomics, University of California San Diego, La Jolla, CA, USA
| | - Yuanyuan Han
- Center for Epigenomics, University of California San Diego, La Jolla, CA, USA
| | - Gino Prasad
- Department of Cellular and Molecular Medicine, University of California San Diego, La Jolla, CA, USA
- Department of Bioengineering, University of California San Diego, La Jolla, CA, USA
| | - Anthony J Cesnik
- Department of Bioengineering, Stanford University, Stanford, CA, USA
| | - Emma Lundberg
- Department of Bioengineering, Stanford University, Stanford, CA, USA
- Department of Pathology, Stanford University, Stanford, CA, USA
- Chan-Zuckerberg Biohub, San Francisco, CA, USA
| | - Quan Zhu
- Center for Epigenomics, University of California San Diego, La Jolla, CA, USA
| | - Hannah Carter
- Division of Medical Genetics, Department of Medicine, University of California San Diego, La Jolla, CA, USA
| | - Gene W Yeo
- Department of Cellular and Molecular Medicine, University of California San Diego, La Jolla, CA, USA.
- Sanford Stem Cell Institute Innovation Center, La Jolla, CA, USA.
- Stem Cell Program, University of California San Diego, La Jolla, CA, USA.
- Institute for Genomic Medicine, University of California San Diego, La Jolla, CA, USA.
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3
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Bialy N, Alber F, Andrews B, Angelo M, Beliveau B, Bintu L, Boettiger A, Boehm U, Brown CM, Maina MB, Chambers JJ, Cimini BA, Eliceiri K, Errington R, Faklaris O, Gaudreault N, Germain RN, Goscinski W, Grunwald D, Halter M, Hanein D, Hickey JW, Lacoste J, Laude A, Lundberg E, Ma J, Malacrida L, Moore J, Nelson G, Neumann EK, Nitschke R, Onami S, Pimentel JA, Plant AL, Radtke AJ, Sabata B, Schapiro D, Schöneberg J, Spraggins JM, Sudar D, Adrien Maria Vierdag WM, Volkmann N, Wählby C, Wang SS, Yaniv Z, Strambio-De-Castillia C. Harmonizing the Generation and Pre-publication Stewardship of FAIR Image data. ArXiv 2024:arXiv:2401.13022v4. [PMID: 38351940 PMCID: PMC10862930] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 02/19/2024]
Abstract
Together with the molecular knowledge of genes and proteins, biological images promise to significantly enhance the scientific understanding of complex cellular systems and to advance predictive and personalized therapeutic products for human health. For this potential to be realized, quality-assured image data must be shared among labs at a global scale to be compared, pooled, and reanalyzed, thus unleashing untold potential beyond the original purpose for which the data was generated. There are two broad sets of requirements to enable image data sharing in the life sciences. One set of requirements is articulated in the companion White Paper entitled "Enabling Global Image Data Sharing in the Life Sciences," which is published in parallel and addresses the need to build the cyberinfrastructure for sharing the digital array data (arXiv:2401.13023 [q-bio.OT], https://doi.org/10.48550/arXiv.2401.13023). In this White Paper, we detail a broad set of requirements, which involves collecting, managing, presenting, and propagating contextual information essential to assess the quality, understand the content, interpret the scientific implications, and reuse image data in the context of the experimental details. We start by providing an overview of the main lessons learned to date through international community activities, which have recently made considerable progress toward generating community standard practices for imaging Quality Control (QC) and metadata. We then provide a clear set of recommendations for amplifying this work. The driving goal is to address remaining challenges, and democratize access to common practices and tools for a spectrum of biomedical researchers, regardless of their expertise, access to resources, and geographical location.
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Affiliation(s)
- Nikki Bialy
- Morgridge Institute for Research, Madison, USA
| | | | | | | | | | | | | | | | | | | | | | - Beth A Cimini
- Broad Institute of MIT and Harvard, Imaging Platform, Cambridge, USA
| | - Kevin Eliceiri
- Morgridge Institute for Research, Madison, USA
- University of Wisconsin-Madison, Madison, USA
| | | | | | | | - Ronald N Germain
- National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, USA
| | | | | | - Michael Halter
- National Institute of Standards and Technology, Gaithersburg, USA
| | | | | | | | - Alex Laude
- Newcastle University, Newcastle upon Tyne, UK
| | - Emma Lundberg
- Stanford University, Palo Alto, USA
- SciLifeLab, KTH Royal Institute of Technology, Stockholm, Sweden
| | - Jian Ma
- Carnegie Mellon University, Pittsburgh, USA
| | - Leonel Malacrida
- Institut Pasteur de Montevideo, & Universidad de la República, Montevideo, Uruguay
| | - Josh Moore
- German BioImaging-Gesellschaft für Mikroskopie und Bildanalyse e.V., Constance, Germany
| | - Glyn Nelson
- Newcastle University, Newcastle upon Tyne, UK
| | | | | | - Shuichi Onami
- RIKEN Center for Biosystems Dynamics Research, Kobe, Japan
| | | | - Anne L Plant
- National Institute of Standards and Technology, Gaithersburg, USA
| | - Andrea J Radtke
- National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, USA
| | | | | | | | | | - Damir Sudar
- Quantitative Imaging Systems LLC, Portland, USA
| | | | | | | | | | - Ziv Yaniv
- National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, USA
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4
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Lundberg E, Öhlén J, Dellenborg L, Ozanne A, Enstedt D. Deconstructing spiritual care: Discursive underpinnings within palliative care research. Nurs Inq 2024:e12622. [PMID: 38178543 DOI: 10.1111/nin.12622] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2023] [Revised: 12/15/2023] [Accepted: 12/20/2023] [Indexed: 01/06/2024]
Abstract
Religion and spirituality are integral to the philosophy of palliative care, shaping its approach to spiritual care. This article aims to examine the discourses within palliative care research to illuminate prevailing assumptions regarding spiritual care. Eighteen original articles were analyzed to examine how spiritual care is understood within palliative care. The analysis, informed by Foucault, aimed to identify recurring discourses. The finding reveals that, in palliative care research, spirituality is viewed as enigmatic yet inherently human and natural, assuming that every individual has a spiritual dimension. The analysis points to healthcare professionals being expected to hold certain qualities to put spiritual care into practice. The analysis also reveals that in the analyzed articles, the concept of spiritual care is rooted in a Christian context, with the belief that all individuals possess inherent spirituality or religiosity, a concept often associated with Christian theology. The included articles often utilize theological terms and emphasize a monotheistic viewpoint. Spirituality is articulated as a complex, distinct concept, challenging clear definitions and professional responsibilities. Further, a moral formation of healthcare professionals is described, interpelling and ascribing qualities that healthcare professionals need to provide spiritual care.
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Affiliation(s)
- Emma Lundberg
- Institute of Health and Care Sciences, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Joakim Öhlén
- Institute of Health and Care Sciences, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Centre for Person-Centred Care (GPCC), University of Gothenburg, Gothenburg, Sweden
- Palliative Centre, Sahlgrenska University Hospital Region Västra Götaland, Gothenburg, Sweden
| | - Lisen Dellenborg
- Institute of Health and Care Sciences, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Anneli Ozanne
- Institute of Health and Care Sciences, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Department of Neurology, Sahlgrenska University Hospital, Göteborg, Sweden
| | - Daniel Enstedt
- Department of Literature, History of Ideas, and Religion, University of Gothenburg, Gothenburg, Sweden
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5
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Hu M, Zhang X, Latham A, Šali A, Ideker T, Lundberg E. Tools for assembling the cell: Towards the era of cell structural bioinformatics. Pac Symp Biocomput 2024; 29:661-665. [PMID: 38160316] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 01/03/2024]
Abstract
Cells consist of large components, such as organelles, that recursively factor into smaller systems, such as condensates and protein complexes, forming a dynamic multi-scale structure of the cell. Recent technological innovations have paved the way for systematic interrogation of subcellular structures, yielding unprecedented insights into their roles and interactions. In this workshop, we discuss progress, challenges, and collaboration to marshal various computational approaches toward assembling an integrated structural map of the human cell.
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Affiliation(s)
- Mengzhou Hu
- Department of Medicine, University of California San Diego, San Diego, CA, USA†These authors contributed equally
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6
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Johnson GT, Agmon E, Akamatsu M, Lundberg E, Lyons B, Ouyang W, Quintero-Carmona OA, Riel-Mehan M, Rafelski S, Horwitz R. Building the next generation of virtual cells to understand cellular biology. Biophys J 2023; 122:3560-3569. [PMID: 37050874 PMCID: PMC10541477 DOI: 10.1016/j.bpj.2023.04.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2022] [Revised: 03/19/2023] [Accepted: 04/06/2023] [Indexed: 04/14/2023] Open
Abstract
Cell science has made significant progress by focusing on understanding individual cellular processes through reductionist approaches. However, the sheer volume of knowledge collected presents challenges in integrating this information across different scales of space and time to comprehend cellular behaviors, as well as making the data and methods more accessible for the community to tackle complex biological questions. This perspective proposes the creation of next-generation virtual cells, which are dynamic 3D models that integrate information from diverse sources, including simulations, biophysical models, image-based models, and evidence-based knowledge graphs. These virtual cells would provide statistically accurate and holistic views of real cells, bridging the gap between theoretical concepts and experimental data, and facilitating productive new collaborations among researchers across related fields.
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Affiliation(s)
| | - Eran Agmon
- Center for Cell Analysis and Modeling, University of Connecticut Health, Farmington, Connecticut
| | - Matthew Akamatsu
- Department of Biology, University of Washington, Seattle, Washington
| | - Emma Lundberg
- Department of Applied Physics, Science for Life Laboratory, KTH Royal Institute of Technology, Stockholm, Sweden; Department of Bioengineering, Stanford University, Stanford, California; Department of Pathology, Stanford University, Stanford, California; Chan Zuckerberg Biohub, San Francisco, California
| | - Blair Lyons
- Allen Institute for Cell Science, Seattle, Washington
| | - Wei Ouyang
- Department of Applied Physics, Science for Life Laboratory, KTH Royal Institute of Technology, Stockholm, Sweden
| | | | | | | | - Rick Horwitz
- Allen Institute for Cell Science, Seattle, Washington.
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7
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Jain Y, Godwin LL, Joshi S, Mandarapu S, Le T, Lindskog C, Lundberg E, Börner K. Segmenting functional tissue units across human organs using community-driven development of generalizable machine learning algorithms. Nat Commun 2023; 14:4656. [PMID: 37537179 PMCID: PMC10400613 DOI: 10.1038/s41467-023-40291-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2023] [Accepted: 07/21/2023] [Indexed: 08/05/2023] Open
Abstract
The development of a reference atlas of the healthy human body requires automated image segmentation of major anatomical structures across multiple organs based on spatial bioimages generated from various sources with differences in sample preparation. We present the setup and results of the Hacking the Human Body machine learning algorithm development competition hosted by the Human Biomolecular Atlas (HuBMAP) and the Human Protein Atlas (HPA) teams on the Kaggle platform. We create a dataset containing 880 histology images with 12,901 segmented structures, engaging 1175 teams from 78 countries in community-driven, open-science development of machine learning models. Tissue variations in the dataset pose a major challenge to the teams which they overcome by using color normalization techniques and combining vision transformers with convolutional models. The best model will be productized in the HuBMAP portal to process tissue image datasets at scale in support of Human Reference Atlas construction.
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Affiliation(s)
- Yashvardhan Jain
- Department of Intelligent Systems Engineering, Luddy School of Informatics, Computing, and Engineering, Indiana University, Bloomington, IN, 47408, USA.
| | - Leah L Godwin
- Department of Intelligent Systems Engineering, Luddy School of Informatics, Computing, and Engineering, Indiana University, Bloomington, IN, 47408, USA
| | - Sripad Joshi
- Department of Intelligent Systems Engineering, Luddy School of Informatics, Computing, and Engineering, Indiana University, Bloomington, IN, 47408, USA
| | - Shriya Mandarapu
- Department of Intelligent Systems Engineering, Luddy School of Informatics, Computing, and Engineering, Indiana University, Bloomington, IN, 47408, USA
| | - Trang Le
- Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH - Royal Institute of Technology, Stockholm, Sweden
- Department of Bioengineering, Stanford University, Stanford, CA, 94305, USA
| | - Cecilia Lindskog
- Department of Immunology, Genetics and Pathology, Division of Cancer Precision Medicine, Uppsala University, Uppsala, Sweden
| | - Emma Lundberg
- Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH - Royal Institute of Technology, Stockholm, Sweden
- Department of Bioengineering, Stanford University, Stanford, CA, 94305, USA
- Department of Pathology, Stanford University, Stanford, CA, 94305, USA
- Chan Zuckerberg Biohub, San Francisco, CA, 94305, USA
| | - Katy Börner
- Department of Intelligent Systems Engineering, Luddy School of Informatics, Computing, and Engineering, Indiana University, Bloomington, IN, 47408, USA.
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8
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Quardokus EM, Saunders DC, McDonough E, Hickey JW, Werlein C, Surrette C, Rajbhandari P, Casals AM, Tian H, Lowery L, Neumann EK, Björklund F, Neelakantan TV, Croteau J, Wiblin AE, Fisher J, Livengood AJ, Dowell KG, Silverstein JC, Spraggins JM, Pryhuber GS, Deutsch G, Ginty F, Nolan GP, Melov S, Jonigk D, Caldwell MA, Vlachos IS, Muller W, Gehlenborg N, Stockwell BR, Lundberg E, Snyder MP, Germain RN, Camarillo JM, Kelleher NL, Börner K, Radtke AJ. Organ Mapping Antibody Panels: a community resource for standardized multiplexed tissue imaging. Nat Methods 2023; 20:1174-1178. [PMID: 37468619 PMCID: PMC10406602 DOI: 10.1038/s41592-023-01846-7] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2022] [Accepted: 03/14/2023] [Indexed: 07/21/2023]
Abstract
Multiplexed antibody-based imaging enables the detailed characterization of molecular and cellular organization in tissues. Advances in the field now allow high-parameter data collection (>60 targets); however, considerable expertise and capital are needed to construct the antibody panels employed by these methods. Organ mapping antibody panels are community-validated resources that save time and money, increase reproducibility, accelerate discovery and support the construction of a Human Reference Atlas.
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Affiliation(s)
- Ellen M Quardokus
- Department of Intelligent Systems Engineering, Indiana University, Bloomington, IN, USA
| | - Diane C Saunders
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
- Vanderbilt Diabetes Center, Vanderbilt University School of Medicine, Nashville, TN, USA
| | | | - John W Hickey
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA
| | | | | | - Presha Rajbhandari
- Department of Biological Sciences, Columbia University, New York, NY, USA
| | - Anna Martinez Casals
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA
- Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH Royal Institute of Technology, Stockholm, Sweden
- Department of Bioengineering, Stanford University, Stanford, CA, USA
| | - Hua Tian
- Department of Chemistry, Pennsylvania State University, University Park, PA, USA
| | | | - Elizabeth K Neumann
- Department of Biochemistry, Vanderbilt University, Nashville, TN, USA
- Mass Spectrometry Research Center, Vanderbilt University, Nashville, TN, USA
- Department of Chemistry, University of California Davis, Davis, CA, USA
| | - Frida Björklund
- Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH Royal Institute of Technology, Stockholm, Sweden
| | | | - Josh Croteau
- Department of Business Development, BioLegend Inc., San Diego, CA, USA
| | - Anne E Wiblin
- Department of Research and Development, Abcam PLC, Discovery Drive, Cambridge Biomedical Campus, Cambridge, UK
| | - Jeremy Fisher
- Department of Research and Development, Cell Signaling Technology, Inc., Danvers, MA, USA
| | - April J Livengood
- Department of Protein and Cell Analysis, Thermo Fisher Scientific, Carlsbad, CA, USA
| | | | - Jonathan C Silverstein
- Department of Biomedical Informatics, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Jeffrey M Spraggins
- Department of Biochemistry, Vanderbilt University, Nashville, TN, USA
- Mass Spectrometry Research Center, Vanderbilt University, Nashville, TN, USA
- Department of Chemistry, Vanderbilt University, Nashville, TN, USA
- Department of Cell and Developmental Biology, Vanderbilt University, Nashville, TN, USA
| | - Gloria S Pryhuber
- Department of Pediatrics, University of Rochester Medical Center, Rochester, NY, USA
| | - Gail Deutsch
- Department of Pathology, University of Washington Medical Center, Seattle, WA, USA
| | | | - Garry P Nolan
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA
| | - Simon Melov
- Buck Institute for Research on Aging, Novato, CA, USA
| | - Danny Jonigk
- Institute of Pathology, Hannover Medical School, Hannover, Germany
- German Center for Lung Research (DZL), Biomedical Research in Endstage and Obstructive Lung Disease Hannover (BREATH), Hannover, Germany
- Institute of Pathology, RWTH University of Aachen, Aachen, Germany
| | - Michael A Caldwell
- Departments of Chemistry, Molecular Biosciences and the Proteomics Center of Excellence, Northwestern University, Evanston, IL, USA
| | - Ioannis S Vlachos
- Spatial Technologies Unit, Harvard Medical School Initiative for RNA Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA
- Department of Pathology, Beth Israel Deaconess Medical Center, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Werner Muller
- Miltenyi Biotec B.V. and Co. KG, Bergisch Gladbach, Germany
- Division of Infection, Immunity and Respiratory Medicine, University of Manchester, Manchester, UK
| | - Nils Gehlenborg
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
| | - Brent R Stockwell
- Department of Biological Sciences, Columbia University, New York, NY, USA
- Department of Chemistry, Columbia University, New York, NY, USA
| | - Emma Lundberg
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA
- Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH Royal Institute of Technology, Stockholm, Sweden
- Department of Bioengineering, Stanford University, Stanford, CA, USA
| | - Michael P Snyder
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
| | - Ronald N Germain
- Laboratory of Immune System Biology, Lymphocyte Biology Section and Center for Advanced Tissue Imaging, NIAID, NIH, Bethesda, MD, USA
| | - Jeannie M Camarillo
- Departments of Chemistry, Molecular Biosciences and the Proteomics Center of Excellence, Northwestern University, Evanston, IL, USA
- Inotiv, Nashville, TN, USA
| | - Neil L Kelleher
- Departments of Chemistry, Molecular Biosciences and the Proteomics Center of Excellence, Northwestern University, Evanston, IL, USA
| | - Katy Börner
- Department of Intelligent Systems Engineering, Indiana University, Bloomington, IN, USA
| | - Andrea J Radtke
- Laboratory of Immune System Biology, Lymphocyte Biology Section and Center for Advanced Tissue Imaging, NIAID, NIH, Bethesda, MD, USA.
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9
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Lundberg E, Ozanne A, Larsdotter C, Böling S, Dellenborg L, Ensted D, Öhlén J. Place of death among foreign-born individuals: a national population-based register study. Palliat Care Soc Pract 2023; 17:26323524231185157. [PMID: 37465177 PMCID: PMC10350762 DOI: 10.1177/26323524231185157] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2022] [Accepted: 06/12/2023] [Indexed: 07/20/2023] Open
Abstract
Background Relatively little is known about where foreign-born individuals die in Sweden and how birth region might influence place of death. Thus, there is a need for population-based studies investigating place of death and associated factors among foreign-born individuals. Objectives The aim of this study was to identify variations in place of death among foreign-born individuals residing in Sweden and to compare place of death between the foreign- and domestic-born population. We also examine the association between place of death, underlying cause of death and sociodemographic characteristics among the foreign-born population. Design A population-based register study. Methods All deceased individuals ⩾18 years of age in Sweden with a registered place of death between 2012 and 2019 (n = 682,697). Among these, 78,466 individuals were foreign-born. Univariable multinomial logistic regression modelling and multivariable multinomial logistic regression analyses were performed. Results Overall, hospital was the most common place of death among the foreign-born population. However, there were variations in place of death related to region of birth. Compared to domestic-born, a higher proportion of foreign-born individuals dies at home, the majority of whom were born on the African continent. Conclusion Region of birth is one of the several factors associated with place of death among foreign-born individuals. Further research is needed to explore both preferences and barriers to place of death among foreign-born individuals.
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Affiliation(s)
| | - Anneli Ozanne
- Institute of Health and Care Sciences, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Department of Neurology, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Cecilia Larsdotter
- Department of Nursing Science, Sophiahemmet University, Stockholm, Sweden
| | - Susanna Böling
- Institute of Health and Care Sciences, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Lisen Dellenborg
- Institute of Health and Care Sciences, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Daniel Ensted
- Department of Literature, History of Ideas, and Religion, University of Gothenburg, Gothenburg, Sweden
| | - Joakim Öhlén
- Institute of Health and Care Sciences, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Centre for Person-Centred Care (GPCC), University of Gothenburg, Gothenburg, Sweden
- Palliative Centre, Sahlgrenska University Hospital, Region Västra Götaland, Gothenburg, Sweden
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10
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Jain Y, Godwin LL, Joshi S, Mandarapu S, Le T, Lindskog C, Lundberg E, Börner K. Segmenting functional tissue units across human organs using community-driven development of generalizable machine learning algorithms. bioRxiv 2023:2023.01.05.522764. [PMID: 36711953 PMCID: PMC9881902 DOI: 10.1101/2023.01.05.522764] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
Abstract
The development of a reference atlas of the healthy human body requires automated image segmentation of major anatomical structures across multiple organs based on spatial bioimages generated from various sources with differences in sample preparation. We present the setup and results of the "Hacking the Human Body" machine learning algorithm development competition hosted by the Human Biomolecular Atlas (HuBMAP) and the Human Protein Atlas (HPA) teams on the Kaggle platform. We showcase how 1,175 teams from 78 countries engaged in community- driven, open-science code development that resulted in machine learning models which successfully segment anatomical structures across five organs using histology images from two consortia and that will be productized in the HuBMAP data portal to process large datasets at scale in support of Human Reference Atlas construction. We discuss the benchmark data created for the competition, major challenges faced by the participants, and the winning models and strategies.
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Affiliation(s)
- Yashvardhan Jain
- Department of Intelligent Systems Engineering, Luddy School of Informatics, Computing, and Engineering, Indiana University, Bloomington, IN 47408, USA
| | - Leah L. Godwin
- Department of Intelligent Systems Engineering, Luddy School of Informatics, Computing, and Engineering, Indiana University, Bloomington, IN 47408, USA
| | - Sripad Joshi
- Department of Intelligent Systems Engineering, Luddy School of Informatics, Computing, and Engineering, Indiana University, Bloomington, IN 47408, USA
| | - Shriya Mandarapu
- Department of Intelligent Systems Engineering, Luddy School of Informatics, Computing, and Engineering, Indiana University, Bloomington, IN 47408, USA
| | - Trang Le
- Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH - Royal Institute of Technology, Stockholm, Sweden
- Department of Bioengineering, Stanford University, Stanford, CA 94305, USA
| | - Cecilia Lindskog
- Department of Immunology, Genetics and Pathology, Division of Cancer Precision Medicine, Uppsala University, Uppsala, Sweden
| | - Emma Lundberg
- Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH - Royal Institute of Technology, Stockholm, Sweden
- Department of Bioengineering, Stanford University, Stanford, CA 94305, USA
- Department of Pathology, Stanford University, Stanford, CA 94305, USA
- Chan Zuckerberg Biohub, San Francisco, CA 94305, USA
| | - Katy Börner
- Department of Intelligent Systems Engineering, Luddy School of Informatics, Computing, and Engineering, Indiana University, Bloomington, IN 47408, USA
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11
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Sountoulidis A, Marco Salas S, Braun E, Avenel C, Bergenstråhle J, Theelke J, Vicari M, Czarnewski P, Liontos A, Abalo X, Andrusivová Ž, Mirzazadeh R, Asp M, Li X, Hu L, Sariyar S, Martinez Casals A, Ayoglu B, Firsova A, Michaëlsson J, Lundberg E, Wählby C, Sundström E, Linnarsson S, Lundeberg J, Nilsson M, Samakovlis C. A topographic atlas defines developmental origins of cell heterogeneity in the human embryonic lung. Nat Cell Biol 2023; 25:351-365. [PMID: 36646791 PMCID: PMC9928586 DOI: 10.1038/s41556-022-01064-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2022] [Accepted: 11/23/2022] [Indexed: 01/18/2023]
Abstract
The lung contains numerous specialized cell types with distinct roles in tissue function and integrity. To clarify the origins and mechanisms generating cell heterogeneity, we created a comprehensive topographic atlas of early human lung development. Here we report 83 cell states and several spatially resolved developmental trajectories and predict cell interactions within defined tissue niches. We integrated single-cell RNA sequencing and spatially resolved transcriptomics into a web-based, open platform for interactive exploration. We show distinct gene expression programmes, accompanying sequential events of cell differentiation and maturation of the secretory and neuroendocrine cell types in proximal epithelium. We define the origin of airway fibroblasts associated with airway smooth muscle in bronchovascular bundles and describe a trajectory of Schwann cell progenitors to intrinsic parasympathetic neurons controlling bronchoconstriction. Our atlas provides a rich resource for further research and a reference for defining deviations from homeostatic and repair mechanisms leading to pulmonary diseases.
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Affiliation(s)
- Alexandros Sountoulidis
- grid.452834.c0000 0004 5911 2402Science for Life Laboratory, Solna, Sweden ,grid.10548.380000 0004 1936 9377Department of Molecular Biosciences, Wenner-Gren Institute, Stockholm University, Stockholm, Sweden
| | - Sergio Marco Salas
- grid.452834.c0000 0004 5911 2402Science for Life Laboratory, Solna, Sweden ,grid.10548.380000 0004 1936 9377Department of Biochemistry and Biophysics, Stockholm University, Stockholm, Sweden
| | - Emelie Braun
- grid.4714.60000 0004 1937 0626Division of Molecular Neurobiology, Department of Medical Biochemistry and Biophysics, Karolinska Institute, Stockholm, Sweden
| | - Christophe Avenel
- grid.8993.b0000 0004 1936 9457Department of Information Technology, Uppsala University, Uppsala, Sweden ,grid.452834.c0000 0004 5911 2402BioImage Informatics Facility, Science for Life Laboratory, SciLifeLab, Sweden
| | - Joseph Bergenstråhle
- grid.5037.10000000121581746Science for Life Laboratory, Department of Gene Technology, KTH Royal Institute of Technology, Stockholm, Sweden
| | - Jonas Theelke
- grid.452834.c0000 0004 5911 2402Science for Life Laboratory, Solna, Sweden ,grid.10548.380000 0004 1936 9377Department of Molecular Biosciences, Wenner-Gren Institute, Stockholm University, Stockholm, Sweden
| | - Marco Vicari
- grid.5037.10000000121581746Science for Life Laboratory, Department of Gene Technology, KTH Royal Institute of Technology, Stockholm, Sweden
| | - Paulo Czarnewski
- grid.5037.10000000121581746Science for Life Laboratory, Department of Gene Technology, KTH Royal Institute of Technology, Stockholm, Sweden
| | - Andreas Liontos
- grid.452834.c0000 0004 5911 2402Science for Life Laboratory, Solna, Sweden ,grid.10548.380000 0004 1936 9377Department of Molecular Biosciences, Wenner-Gren Institute, Stockholm University, Stockholm, Sweden
| | - Xesus Abalo
- grid.5037.10000000121581746Science for Life Laboratory, Department of Gene Technology, KTH Royal Institute of Technology, Stockholm, Sweden
| | - Žaneta Andrusivová
- grid.5037.10000000121581746Science for Life Laboratory, Department of Gene Technology, KTH Royal Institute of Technology, Stockholm, Sweden
| | - Reza Mirzazadeh
- grid.5037.10000000121581746Science for Life Laboratory, Department of Gene Technology, KTH Royal Institute of Technology, Stockholm, Sweden
| | - Michaela Asp
- grid.5037.10000000121581746Science for Life Laboratory, Department of Gene Technology, KTH Royal Institute of Technology, Stockholm, Sweden
| | - Xiaofei Li
- grid.4714.60000 0004 1937 0626Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden
| | - Lijuan Hu
- grid.4714.60000 0004 1937 0626Division of Molecular Neurobiology, Department of Medical Biochemistry and Biophysics, Karolinska Institute, Stockholm, Sweden
| | - Sanem Sariyar
- grid.5037.10000000121581746Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH - Royal Institute of Technology, Stockholm, Sweden
| | - Anna Martinez Casals
- grid.5037.10000000121581746Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH - Royal Institute of Technology, Stockholm, Sweden
| | - Burcu Ayoglu
- grid.5037.10000000121581746Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH - Royal Institute of Technology, Stockholm, Sweden
| | - Alexandra Firsova
- grid.452834.c0000 0004 5911 2402Science for Life Laboratory, Solna, Sweden ,grid.10548.380000 0004 1936 9377Department of Molecular Biosciences, Wenner-Gren Institute, Stockholm University, Stockholm, Sweden
| | - Jakob Michaëlsson
- grid.4714.60000 0004 1937 0626Center for Infectious Medicine, Department of Medicine Huddinge, Karolinska Institutet, Stockholm, Sweden
| | - Emma Lundberg
- grid.5037.10000000121581746Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH - Royal Institute of Technology, Stockholm, Sweden
| | - Carolina Wählby
- grid.8993.b0000 0004 1936 9457Department of Information Technology, Uppsala University, Uppsala, Sweden ,grid.452834.c0000 0004 5911 2402BioImage Informatics Facility, Science for Life Laboratory, SciLifeLab, Sweden
| | - Erik Sundström
- grid.4714.60000 0004 1937 0626Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden
| | - Sten Linnarsson
- grid.4714.60000 0004 1937 0626Division of Molecular Neurobiology, Department of Medical Biochemistry and Biophysics, Karolinska Institute, Stockholm, Sweden
| | - Joakim Lundeberg
- grid.5037.10000000121581746Science for Life Laboratory, Department of Gene Technology, KTH Royal Institute of Technology, Stockholm, Sweden
| | - Mats Nilsson
- Science for Life Laboratory, Solna, Sweden. .,Department of Biochemistry and Biophysics, Stockholm University, Stockholm, Sweden.
| | - Christos Samakovlis
- Science for Life Laboratory, Solna, Sweden. .,Department of Molecular Biosciences, Wenner-Gren Institute, Stockholm University, Stockholm, Sweden. .,Molecular Pneumology, Cardiopulmonary Institute, Justus Liebig University, Giessen, Germany.
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12
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Abstract
Improved scale, multiplexing and resolution are establishing spatial nucleic acid and protein profiling methods as a major pillar for cellular atlas building of complex samples, from tissues to full organisms. Emerging methods yield omics measurements at resolutions covering the nano- to microscale, enabling the charting of cellular heterogeneity, complex tissue architectures and dynamic changes during development and disease. We present an overview of the developing landscape of in situ spatial genome, transcriptome and proteome technologies, exemplify their impact on cell biology and translational research, and discuss current challenges for their community-wide adoption. Among many transformative applications, we envision that spatial methods will map entire organs and enable next-generation pathology.
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Affiliation(s)
- Jeffrey R Moffitt
- Program in Cellular and Molecular Medicine, Boston Children's Hospital, Boston, MA, USA.,Department of Microbiology, Harvard Medical School, Boston, MA, USA
| | - Emma Lundberg
- Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH - Royal Institute of Technology, Stockholm, Sweden.,Department of Bioengineering, Stanford University, Stanford, CA, USA.,Department of Pathology, Stanford University, Stanford, CA, USA.,Chan Zuckerberg Biohub, San Francisco, San Francisco, CA, USA
| | - Holger Heyn
- CNAG-CRG, Centre for Genomic Regulation (CRG), Barcelona Institute of Science and Technology (BIST), Barcelona, Spain. .,Universitat Pompeu Fabra (UPF), Barcelona, Spain.
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13
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Burnum-Johnson KE, Conrads TP, Drake RR, Herr AE, Iyengar R, Kelly RT, Lundberg E, MacCoss MJ, Naba A, Nolan GP, Pevzner PA, Rodland KD, Sechi S, Slavov N, Spraggins JM, Van Eyk JE, Vidal M, Vogel C, Walt DR, Kelleher NL. New Views of Old Proteins: Clarifying the Enigmatic Proteome. Mol Cell Proteomics 2022; 21:100254. [PMID: 35654359 PMCID: PMC9256833 DOI: 10.1016/j.mcpro.2022.100254] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2022] [Revised: 05/09/2022] [Accepted: 05/27/2022] [Indexed: 11/23/2022] Open
Abstract
All human diseases involve proteins, yet our current tools to characterize and quantify them are limited. To better elucidate proteins across space, time, and molecular composition, we provide a >10 years of projection for technologies to meet the challenges that protein biology presents. With a broad perspective, we discuss grand opportunities to transition the science of proteomics into a more propulsive enterprise. Extrapolating recent trends, we describe a next generation of approaches to define, quantify, and visualize the multiple dimensions of the proteome, thereby transforming our understanding and interactions with human disease in the coming decade.
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Affiliation(s)
- Kristin E Burnum-Johnson
- The Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, Washington, USA.
| | - Thomas P Conrads
- Inova Women's Service Line, Inova Health System, Falls Church, Virginia, USA
| | - Richard R Drake
- Cell and Molecular Pharmacology and Experimental Therapeutics, Medical University of South Carolina, Charleston, South Carolina, USA
| | - Amy E Herr
- Department of Bioengineering, University of California, Berkeley, California, USA
| | - Ravi Iyengar
- Department of Pharmacology and Systems Therapeutics, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Ryan T Kelly
- Department of Chemistry and Biochemistry, Brigham Young University, Provo, Utah, USA
| | - Emma Lundberg
- Science for Life Laboratory, KTH Royal Institute of Technology, Stockholm, Sweden
| | - Michael J MacCoss
- Department of Genome Sciences, University of Washington, Seattle, Washington, USA
| | - Alexandra Naba
- Department of Physiology and Biophysics, University of Illinois at Chicago, Chicago, Illinois, USA
| | - Garry P Nolan
- Department of Pathology, Stanford University, Stanford, California, USA
| | - Pavel A Pevzner
- Department of Computer Science and Engineering, University of California at San Diego, San Diego, California, USA
| | - Karin D Rodland
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington, USA
| | - Salvatore Sechi
- National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, Maryland, USA
| | - Nikolai Slavov
- Department of Bioengineering, Northeastern University, Boston, Massachusetts, USA
| | - Jeffrey M Spraggins
- Department of Cell and Developmental Biology, Mass Spectrometry Research Center, Vanderbilt University, Nashville, Tennessee, USA
| | - Jennifer E Van Eyk
- Advanced Clinical Biosystems Institute in the Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, California, USA
| | - Marc Vidal
- Department of Genetics, Harvard University, Cambridge, Massachusetts, USA
| | - Christine Vogel
- New York University Center for Genomics and Systems Biology, New York University, New York, New York, USA
| | - David R Walt
- Department of Pathology, Harvard Medical School, Brigham and Women's Hospital, Wyss Institute at Harvard University, Boston, Massachusetts, USA
| | - Neil L Kelleher
- Department of Chemistry, Northwestern University, Evanston, Illinois, USA.
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14
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Kustatscher G, Collins T, Gingras AC, Guo T, Hermjakob H, Ideker T, Lilley KS, Lundberg E, Marcotte EM, Ralser M, Rappsilber J. An open invitation to the Understudied Proteins Initiative. Nat Biotechnol 2022; 40:815-817. [PMID: 35534555 DOI: 10.1038/s41587-022-01316-z] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Affiliation(s)
- Georg Kustatscher
- Institute of Quantitative Biology, Biochemistry and Biotechnology, University of Edinburgh, Edinburgh, UK.
| | | | - Anne-Claude Gingras
- Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Sinai Health System, Toronto, Ontario, Canada.,Department of Molecular Genetics, University of Toronto, Toronto, Ontario, Canada
| | - Tiannan Guo
- Zhejiang Provincial Laboratory of Life Sciences and Biomedicine, Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, China.,Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou, China
| | - Henning Hermjakob
- European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Cambridge, UK
| | - Trey Ideker
- Division of Genetics, Department of Medicine, University of California San Diego, La Jolla, CA, USA
| | - Kathryn S Lilley
- Cambridge Centre for Proteomics, Department of Biochemistry, University of Cambridge, Cambridge, UK
| | - Emma Lundberg
- Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH-Royal Institute of Technology, Stockholm, Sweden.,Department of Bioengineering, Stanford University, Stanford, CA, USA.,Department of Pathology, Stanford University, Stanford, CA, USA.,Chan Zuckerberg Biohub, San Francisco, CA, USA
| | - Edward M Marcotte
- Department of Molecular Biosciences, Center for Systems and Synthetic Biology, University of Texas at Austin, Austin, TX, USA
| | - Markus Ralser
- Department of Biochemistry, Charité University Medicine, Berlin, Germany.,The Molecular Biology of Metabolism Laboratory, The Francis Crick Institute, London, UK
| | - Juri Rappsilber
- Institute of Quantitative Biology, Biochemistry and Biotechnology, University of Edinburgh, Edinburgh, UK. .,Bioanalytics, Institute of Biotechnology, Technische Universität Berlin, Berlin, Germany. .,Wellcome Centre for Cell Biology, University of Edinburgh, Edinburgh, UK.
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15
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Mund A, Coscia F, Kriston A, Hollandi R, Kovács F, Brunner AD, Migh E, Schweizer L, Santos A, Bzorek M, Naimy S, Rahbek-Gjerdrum LM, Dyring-Andersen B, Bulkescher J, Lukas C, Eckert MA, Lengyel E, Gnann C, Lundberg E, Horvath P, Mann M. Deep Visual Proteomics defines single-cell identity and heterogeneity. Nat Biotechnol 2022; 40:1231-1240. [PMID: 35590073 PMCID: PMC9371970 DOI: 10.1038/s41587-022-01302-5] [Citation(s) in RCA: 123] [Impact Index Per Article: 61.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2022] [Accepted: 03/30/2022] [Indexed: 02/07/2023]
Abstract
Despite the availabilty of imaging-based and mass-spectrometry-based methods for spatial proteomics, a key challenge remains connecting images with single-cell-resolution protein abundance measurements. Here, we introduce Deep Visual Proteomics (DVP), which combines artificial-intelligence-driven image analysis of cellular phenotypes with automated single-cell or single-nucleus laser microdissection and ultra-high-sensitivity mass spectrometry. DVP links protein abundance to complex cellular or subcellular phenotypes while preserving spatial context. By individually excising nuclei from cell culture, we classified distinct cell states with proteomic profiles defined by known and uncharacterized proteins. In an archived primary melanoma tissue, DVP identified spatially resolved proteome changes as normal melanocytes transition to fully invasive melanoma, revealing pathways that change in a spatial manner as cancer progresses, such as mRNA splicing dysregulation in metastatic vertical growth that coincides with reduced interferon signaling and antigen presentation. The ability of DVP to retain precise spatial proteomic information in the tissue context has implications for the molecular profiling of clinical samples. Deep Visual Proteomics combines machine learning, automated image analysis and single-cell proteomics.
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Affiliation(s)
- Andreas Mund
- Proteomics Program, Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
| | - Fabian Coscia
- Proteomics Program, Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.,Spatial Proteomics Group, Max Delbrück Center for Molecular Medicine in the Helmholtz Association, Berlin, Germany
| | - András Kriston
- Synthetic and Systems Biology Unit, Biological Research Centre, Eötvös Loránd Research Network, Szeged, Hungary.,Single-Cell Technologies Ltd., Szeged, Hungary
| | - Réka Hollandi
- Synthetic and Systems Biology Unit, Biological Research Centre, Eötvös Loránd Research Network, Szeged, Hungary
| | - Ferenc Kovács
- Synthetic and Systems Biology Unit, Biological Research Centre, Eötvös Loránd Research Network, Szeged, Hungary.,Single-Cell Technologies Ltd., Szeged, Hungary
| | - Andreas-David Brunner
- Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, Martinsried, Germany
| | - Ede Migh
- Synthetic and Systems Biology Unit, Biological Research Centre, Eötvös Loránd Research Network, Szeged, Hungary
| | - Lisa Schweizer
- Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, Martinsried, Germany
| | - Alberto Santos
- Proteomics Program, Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.,Center for Health Data Science, University of Copenhagen, Copenhagen, Denmark.,Big Data Institute, Li-Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, UK
| | - Michael Bzorek
- Department of Pathology, Zealand University Hospital, Roskilde, Denmark
| | - Soraya Naimy
- Department of Pathology, Zealand University Hospital, Roskilde, Denmark
| | - Lise Mette Rahbek-Gjerdrum
- Department of Pathology, Zealand University Hospital, Roskilde, Denmark.,Institute for Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Beatrice Dyring-Andersen
- Proteomics Program, Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.,Department of Dermatology and Allergy, Herlev and Gentofte Hospital, University of Copenhagen, Hellerup, Denmark.,Leo Foundation Skin Immunology Research Center, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Jutta Bulkescher
- Protein Imaging Platform, Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Claudia Lukas
- Protein Imaging Platform, Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.,Protein Signaling Program, Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Mark Adam Eckert
- Department of Obstetrics and Gynecology/Section of Gynecologic Oncology, University of Chicago, Chicago, IL, USA
| | - Ernst Lengyel
- Department of Obstetrics and Gynecology/Section of Gynecologic Oncology, University of Chicago, Chicago, IL, USA
| | - Christian Gnann
- Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH - Royal Institute of Technology, Stockholm, Sweden
| | - Emma Lundberg
- Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH - Royal Institute of Technology, Stockholm, Sweden.,Department of Bioengineering, Stanford University, Stanford, CA, USA.,Chan Zuckerberg Biohub, San Francisco, CA, USA
| | - Peter Horvath
- Synthetic and Systems Biology Unit, Biological Research Centre, Eötvös Loránd Research Network, Szeged, Hungary. .,Single-Cell Technologies Ltd., Szeged, Hungary. .,Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland.
| | - Matthias Mann
- Proteomics Program, Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark. .,Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, Martinsried, Germany.
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16
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Hickey JW, Neumann EK, Radtke AJ, Camarillo JM, Beuschel RT, Albanese A, McDonough E, Hatler J, Wiblin AE, Fisher J, Croteau J, Small EC, Sood A, Caprioli RM, Angelo RM, Nolan GP, Chung K, Hewitt SM, Germain RN, Spraggins JM, Lundberg E, Snyder MP, Kelleher NL, Saka SK. Spatial mapping of protein composition and tissue organization: a primer for multiplexed antibody-based imaging. Nat Methods 2022; 19:284-295. [PMID: 34811556 PMCID: PMC9264278 DOI: 10.1038/s41592-021-01316-y] [Citation(s) in RCA: 115] [Impact Index Per Article: 57.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2021] [Accepted: 09/15/2021] [Indexed: 02/07/2023]
Abstract
Tissues and organs are composed of distinct cell types that must operate in concert to perform physiological functions. Efforts to create high-dimensional biomarker catalogs of these cells have been largely based on single-cell sequencing approaches, which lack the spatial context required to understand critical cellular communication and correlated structural organization. To probe in situ biology with sufficient depth, several multiplexed protein imaging methods have been recently developed. Though these technologies differ in strategy and mode of immunolabeling and detection tags, they commonly utilize antibodies directed against protein biomarkers to provide detailed spatial and functional maps of complex tissues. As these promising antibody-based multiplexing approaches become more widely adopted, new frameworks and considerations are critical for training future users, generating molecular tools, validating antibody panels, and harmonizing datasets. In this Perspective, we provide essential resources, key considerations for obtaining robust and reproducible imaging data, and specialized knowledge from domain experts and technology developers.
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Affiliation(s)
- John W Hickey
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA
| | - Elizabeth K Neumann
- Department of Biochemistry, Vanderbilt University, Nashville, TN, USA
- Mass Spectrometry Research Center, Vanderbilt University, Nashville, TN, USA
| | - Andrea J Radtke
- Lymphocyte Biology Section and Center for Advanced Tissue Imaging, Laboratory of Immune System Biology, NIAID, NIH, Bethesda, MD, USA.
| | - Jeannie M Camarillo
- Departments of Chemistry, Molecular Biosciences and the National Resource for Translational and Developmental Proteomics, Northwestern University, Evanston, IL, USA
| | - Rebecca T Beuschel
- Lymphocyte Biology Section and Center for Advanced Tissue Imaging, Laboratory of Immune System Biology, NIAID, NIH, Bethesda, MD, USA
| | - Alexandre Albanese
- Institute for Medical Engineering and Science, MIT, Cambridge, MA, USA
- Picower Institute for Learning and Memory, MIT, Cambridge, MA, USA
- Boston Children's Hospital, Division of Hematology/Oncology, Boston, MA, USA
| | | | - Julia Hatler
- Antibody Development Department, Bio-Techne, Minneapolis, MN, USA
| | - Anne E Wiblin
- Department of Research and Development, Abcam, Cambridge, UK
| | - Jeremy Fisher
- Department of Research and Development, Cell Signaling Technology, Danvers, MA, USA
| | - Josh Croteau
- Department of Applications Science, BioLegend, San Diego, CA, USA
| | | | | | - Richard M Caprioli
- Department of Biochemistry, Vanderbilt University, Nashville, TN, USA
- Mass Spectrometry Research Center, Vanderbilt University, Nashville, TN, USA
- Department of Chemistry, Vanderbilt University, Nashville, TN, USA
| | - R Michael Angelo
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA
| | - Garry P Nolan
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA
| | - Kwanghun Chung
- Institute for Medical Engineering and Science, MIT, Cambridge, MA, USA
- Picower Institute for Learning and Memory, MIT, Cambridge, MA, USA
- Department of Chemical Engineering, MIT, Cambridge, MA, USA
- Department of Brain and Cognitive Sciences, MIT, Cambridge, MA, USA
- Center for Nanomedicine, Institute for Basic Science (IBS), Seoul, Republic of Korea
- Yonsei-IBS Institute, Yonsei University, Seoul, Republic of Korea
| | - Stephen M Hewitt
- Laboratory of Pathology, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Ronald N Germain
- Lymphocyte Biology Section and Center for Advanced Tissue Imaging, Laboratory of Immune System Biology, NIAID, NIH, Bethesda, MD, USA
| | - Jeffrey M Spraggins
- Mass Spectrometry Research Center, Vanderbilt University, Nashville, TN, USA
- Department of Chemistry, Vanderbilt University, Nashville, TN, USA
- Department of Cell and Developmental Biology, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Emma Lundberg
- Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH-Royal Institute of Technology, Stockholm, Sweden
| | - Michael P Snyder
- Department of Genetics, Stanford University School of Medicine, Stanford, California, USA
| | - Neil L Kelleher
- Departments of Chemistry, Molecular Biosciences and the National Resource for Translational and Developmental Proteomics, Northwestern University, Evanston, IL, USA
| | - Sinem K Saka
- Wyss Institute for Biologically Inspired Engineering at Harvard University, Boston, MA, USA.
- European Molecular Biology Laboratory (EMBL), Genome Biology Unit, Heidelberg, Germany.
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17
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Melani RD, Gerbasi VR, Anderson LC, Sikora JW, Toby TK, Hutton JE, Butcher DS, Negrão F, Seckler HS, Srzentić K, Fornelli L, Camarillo JM, LeDuc RD, Cesnik AJ, Lundberg E, Greer JB, Fellers RT, Robey MT, DeHart CJ, Forte E, Hendrickson CL, Abbatiello SE, Thomas PM, Kokaji AI, Levitsky J, Kelleher NL. The Blood Proteoform Atlas: A reference map of proteoforms in human hematopoietic cells. Science 2022; 375:411-418. [PMID: 35084980 PMCID: PMC9097315 DOI: 10.1126/science.aaz5284] [Citation(s) in RCA: 43] [Impact Index Per Article: 21.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/30/2023]
Abstract
Human biology is tightly linked to proteins, yet most measurements do not precisely determine alternatively spliced sequences or posttranslational modifications. Here, we present the primary structures of ~30,000 unique proteoforms, nearly 10 times more than in previous studies, expressed from 1690 human genes across 21 cell types and plasma from human blood and bone marrow. The results, compiled in the Blood Proteoform Atlas (BPA), indicate that proteoforms better describe protein-level biology and are more specific indicators of differentiation than their corresponding proteins, which are more broadly expressed across cell types. We demonstrate the potential for clinical application, by interrogating the BPA in the context of liver transplantation and identifying cell and proteoform signatures that distinguish normal graft function from acute rejection and other causes of graft dysfunction.
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Affiliation(s)
- Rafael D. Melani
- Department of Molecular Biosciences, Department of Chemistry, and the Feinberg School of Medicine, Northwestern University, Evanston, IL, USA
| | - Vincent R. Gerbasi
- Department of Molecular Biosciences, Department of Chemistry, and the Feinberg School of Medicine, Northwestern University, Evanston, IL, USA
| | - Lissa C. Anderson
- National High Magnetic Field Laboratory, Florida State University, Tallahassee, FL, USA
| | - Jacek W. Sikora
- Department of Molecular Biosciences, Department of Chemistry, and the Feinberg School of Medicine, Northwestern University, Evanston, IL, USA
| | - Timothy K. Toby
- Department of Molecular Biosciences, Department of Chemistry, and the Feinberg School of Medicine, Northwestern University, Evanston, IL, USA
| | - Josiah E. Hutton
- Department of Molecular Biosciences, Department of Chemistry, and the Feinberg School of Medicine, Northwestern University, Evanston, IL, USA
| | - David S. Butcher
- National High Magnetic Field Laboratory, Florida State University, Tallahassee, FL, USA
| | - Fernanda Negrão
- Department of Molecular Biosciences, Department of Chemistry, and the Feinberg School of Medicine, Northwestern University, Evanston, IL, USA
| | - Henrique S. Seckler
- Department of Molecular Biosciences, Department of Chemistry, and the Feinberg School of Medicine, Northwestern University, Evanston, IL, USA
| | - Kristina Srzentić
- Department of Molecular Biosciences, Department of Chemistry, and the Feinberg School of Medicine, Northwestern University, Evanston, IL, USA
| | - Luca Fornelli
- Department of Molecular Biosciences, Department of Chemistry, and the Feinberg School of Medicine, Northwestern University, Evanston, IL, USA
| | - Jeannie M. Camarillo
- Department of Molecular Biosciences, Department of Chemistry, and the Feinberg School of Medicine, Northwestern University, Evanston, IL, USA
| | - Richard D. LeDuc
- Department of Molecular Biosciences, Department of Chemistry, and the Feinberg School of Medicine, Northwestern University, Evanston, IL, USA
| | - Anthony J. Cesnik
- Department of Genetics, Stanford University, Stanford, CA, USA
- Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH-Royal Institute of Technology, Stockholm, Sweden
| | - Emma Lundberg
- Department of Genetics, Stanford University, Stanford, CA, USA
- Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH-Royal Institute of Technology, Stockholm, Sweden
| | - Joseph B. Greer
- Department of Molecular Biosciences, Department of Chemistry, and the Feinberg School of Medicine, Northwestern University, Evanston, IL, USA
| | - Ryan T. Fellers
- Department of Molecular Biosciences, Department of Chemistry, and the Feinberg School of Medicine, Northwestern University, Evanston, IL, USA
| | - Matthew T. Robey
- Department of Molecular Biosciences, Department of Chemistry, and the Feinberg School of Medicine, Northwestern University, Evanston, IL, USA
| | - Caroline J. DeHart
- Department of Molecular Biosciences, Department of Chemistry, and the Feinberg School of Medicine, Northwestern University, Evanston, IL, USA
| | - Eleonora Forte
- Proteomics Center of Excellence, Northwestern University, Evanston, IL, USA
- Department of Surgery, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | | | | | - Paul M. Thomas
- Department of Molecular Biosciences, Department of Chemistry, and the Feinberg School of Medicine, Northwestern University, Evanston, IL, USA
| | | | - Josh Levitsky
- Comprehensive Transplant Center, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Neil L. Kelleher
- Department of Molecular Biosciences, Department of Chemistry, and the Feinberg School of Medicine, Northwestern University, Evanston, IL, USA
- Department of Biochemistry and Molecular Genetics, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
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18
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Bagheri N, Carpenter AE, Lundberg E, Plant AL, Horwitz R. The new era of quantitative cell imaging—challenges and opportunities. Mol Cell 2022; 82:241-247. [DOI: 10.1016/j.molcel.2021.12.024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2021] [Revised: 12/16/2021] [Accepted: 12/17/2021] [Indexed: 11/24/2022]
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19
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Qin Y, Huttlin EL, Winsnes CF, Gosztyla ML, Wacheul L, Kelly MR, Blue SM, Zheng F, Chen M, Schaffer LV, Licon K, Bäckström A, Vaites LP, Lee JJ, Ouyang W, Liu SN, Zhang T, Silva E, Park J, Pitea A, Kreisberg JF, Gygi SP, Ma J, Harper JW, Yeo GW, Lafontaine DLJ, Lundberg E, Ideker T. A multi-scale map of cell structure fusing protein images and interactions. Nature 2021; 600:536-542. [PMID: 34819669 PMCID: PMC9053732 DOI: 10.1038/s41586-021-04115-9] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2020] [Accepted: 10/08/2021] [Indexed: 02/07/2023]
Abstract
The cell is a multi-scale structure with modular organization across at least four orders of magnitude1. Two central approaches for mapping this structure-protein fluorescent imaging and protein biophysical association-each generate extensive datasets, but of distinct qualities and resolutions that are typically treated separately2,3. Here we integrate immunofluorescence images in the Human Protein Atlas4 with affinity purifications in BioPlex5 to create a unified hierarchical map of human cell architecture. Integration is achieved by configuring each approach as a general measure of protein distance, then calibrating the two measures using machine learning. The map, known as the multi-scale integrated cell (MuSIC 1.0), resolves 69 subcellular systems, of which approximately half are to our knowledge undocumented. Accordingly, we perform 134 additional affinity purifications and validate subunit associations for the majority of systems. The map reveals a pre-ribosomal RNA processing assembly and accessory factors, which we show govern rRNA maturation, and functional roles for SRRM1 and FAM120C in chromatin and RPS3A in splicing. By integration across scales, MuSIC increases the resolution of imaging while giving protein interactions a spatial dimension, paving the way to incorporate diverse types of data in proteome-wide cell maps.
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Affiliation(s)
- Yue Qin
- Department of Medicine, University of California San Diego, La Jolla, CA, USA
- Bioinformatics and Systems Biology Program, University of California San Diego, La Jolla, CA, USA
| | - Edward L Huttlin
- Department of Cell Biology, Harvard Medical School, Boston, MA, USA
| | - Casper F Winsnes
- Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH Royal Institute of Technology, Stockholm, Sweden
| | - Maya L Gosztyla
- Department of Cellular and Molecular Medicine, University of California San Diego, La Jolla, CA, USA
- Stem Cell Program, University of California San Diego, La Jolla, CA, USA
- Institute for Genomic Medicine, University of California San Diego, La Jolla, CA, USA
| | - Ludivine Wacheul
- RNA Molecular Biology, Fonds de la Recherche Scientifique (F.R.S./FNRS), Université Libre de Bruxelles (ULB), Charleroi-Gosselies, Belgium
| | - Marcus R Kelly
- Department of Medicine, University of California San Diego, La Jolla, CA, USA
| | - Steven M Blue
- Department of Cellular and Molecular Medicine, University of California San Diego, La Jolla, CA, USA
- Stem Cell Program, University of California San Diego, La Jolla, CA, USA
- Institute for Genomic Medicine, University of California San Diego, La Jolla, CA, USA
| | - Fan Zheng
- Department of Medicine, University of California San Diego, La Jolla, CA, USA
| | - Michael Chen
- Department of Medicine, University of California San Diego, La Jolla, CA, USA
| | - Leah V Schaffer
- Department of Medicine, University of California San Diego, La Jolla, CA, USA
| | - Katherine Licon
- Department of Medicine, University of California San Diego, La Jolla, CA, USA
| | - Anna Bäckström
- Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH Royal Institute of Technology, Stockholm, Sweden
| | | | - John J Lee
- Department of Medicine, University of California San Diego, La Jolla, CA, USA
| | - Wei Ouyang
- Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH Royal Institute of Technology, Stockholm, Sweden
| | - Sophie N Liu
- Department of Medicine, University of California San Diego, La Jolla, CA, USA
| | - Tian Zhang
- Department of Cell Biology, Harvard Medical School, Boston, MA, USA
| | - Erica Silva
- Department of Medicine, University of California San Diego, La Jolla, CA, USA
| | - Jisoo Park
- Department of Medicine, University of California San Diego, La Jolla, CA, USA
| | - Adriana Pitea
- Department of Medicine, University of California San Diego, La Jolla, CA, USA
| | - Jason F Kreisberg
- Department of Medicine, University of California San Diego, La Jolla, CA, USA
| | - Steven P Gygi
- Department of Cell Biology, Harvard Medical School, Boston, MA, USA
| | - Jianzhu Ma
- Institute for Artificial Intelligence, Peking University, Beijing, China
| | - J Wade Harper
- Department of Cell Biology, Harvard Medical School, Boston, MA, USA
| | - Gene W Yeo
- Bioinformatics and Systems Biology Program, University of California San Diego, La Jolla, CA, USA
- Department of Cellular and Molecular Medicine, University of California San Diego, La Jolla, CA, USA
- Stem Cell Program, University of California San Diego, La Jolla, CA, USA
- Institute for Genomic Medicine, University of California San Diego, La Jolla, CA, USA
| | - Denis L J Lafontaine
- RNA Molecular Biology, Fonds de la Recherche Scientifique (F.R.S./FNRS), Université Libre de Bruxelles (ULB), Charleroi-Gosselies, Belgium
| | - Emma Lundberg
- Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH Royal Institute of Technology, Stockholm, Sweden.
- Department of Genetics, Stanford University, Stanford, CA, USA.
- Chan Zuckerberg Biohub, San Francisco, San Francisco, CA, USA.
| | - Trey Ideker
- Department of Medicine, University of California San Diego, La Jolla, CA, USA.
- Bioinformatics and Systems Biology Program, University of California San Diego, La Jolla, CA, USA.
- Institute for Genomic Medicine, University of California San Diego, La Jolla, CA, USA.
- Department of Computer Science and Engineering, University of California San Diego, La Jolla, CA, USA.
- Department of Bioengineering, University of California San Diego, La Jolla, CA, USA.
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20
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Gómez-de-Mariscal E, García-López-de-Haro C, Ouyang W, Donati L, Lundberg E, Unser M, Muñoz-Barrutia A, Sage D. DeepImageJ: A user-friendly environment to run deep learning models in ImageJ. Nat Methods 2021; 18:1192-1195. [PMID: 34594030 DOI: 10.1038/s41592-021-01262-9] [Citation(s) in RCA: 84] [Impact Index Per Article: 28.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2019] [Accepted: 08/05/2021] [Indexed: 02/08/2023]
Abstract
DeepImageJ is a user-friendly solution that enables the generic use of pre-trained deep learning models for biomedical image analysis in ImageJ. The deepImageJ environment gives access to the largest bioimage repository of pre-trained deep learning models (BioImage Model Zoo). Hence, nonexperts can easily perform common image processing tasks in life-science research with deep learning-based tools including pixel and object classification, instance segmentation, denoising or virtual staining. DeepImageJ is compatible with existing state of the art solutions and it is equipped with utility tools for developers to include new models. Very recently, several training frameworks have adopted the deepImageJ format to deploy their work in one of the most used softwares in the field (ImageJ). Beyond its direct use, we expect deepImageJ to contribute to the broader dissemination and reuse of deep learning models in life sciences applications and bioimage informatics.
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Affiliation(s)
- Estibaliz Gómez-de-Mariscal
- Bioengineering and Aerospace Engineering Department, Universidad Carlos III de Madrid and Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain
| | - Carlos García-López-de-Haro
- Bioengineering and Aerospace Engineering Department, Universidad Carlos III de Madrid and Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain
| | - Wei Ouyang
- Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH - Royal Institute of Technology, Stockholm, Sweden
| | - Laurène Donati
- EPFL Center for Imaging, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
| | - Emma Lundberg
- Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH - Royal Institute of Technology, Stockholm, Sweden
| | - Michael Unser
- Biomedical Imaging Group and EPFL Center for Imaging, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
| | - Arrate Muñoz-Barrutia
- Bioengineering and Aerospace Engineering Department, Universidad Carlos III de Madrid and Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain.
| | - Daniel Sage
- Biomedical Imaging Group and EPFL Center for Imaging, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland.
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21
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Lundberg E, Funke J, Uhlmann V, Gerlich D, Walter T, Carpenter A, Coehlo LP. Which image-based phenotypes are most promising for using AI to understand cellular functions and why? Cell Syst 2021; 12:384-387. [PMID: 34015259 DOI: 10.1016/j.cels.2021.04.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
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22
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Semeniuk BP, Lundberg E, Göransson P. Acoustics modelling of open-cell foam materials from microstructure and constitutive properties. J Acoust Soc Am 2021; 149:2016. [PMID: 33765808 DOI: 10.1121/10.0003824] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/18/2020] [Accepted: 03/01/2021] [Indexed: 06/12/2023]
Abstract
The dynamic relations for highly porous fibrous materials, having analytical expressions for dynamic viscous drag forces and oscillatory solid-to-fluid heat transfer, are now extended towards open-cell foam materials where the struts of the foam are considered to be primarily cylindrical except in the region of the joints. By also including analytical expressions for the stiffness of the foam cell, an entirely analytically-based model is presented for the acoustics of highly-porous, open-celled foam materials. This approach is extremely efficient, requiring only the mean cell size, mean strut diameter, and constitutive properties of the solid foam material and the surrounding viscous fluid as input. The acoustic performance prediction of not only isotropic foam cell designs, but also anisotropic ones may be performed rapidly and virtually, without the need for the determination of poroelastic material properties from existing material samples. The steps required for the development of the analytical foam-cell model are presented, along with the acoustic performance prediction of a typical Melamine foam cell, yielding very promising results in comparison against measurements. In order to understand the suitability of the cylindrical foam strut assumption, a viscous drag force comparison with foam struts having square and triangular cross-sectional profiles is also presented.
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Affiliation(s)
- B P Semeniuk
- Department of Engineering Mechanics, KTH Royal Institute of Technology, 100 44 Stockholm, Sweden
| | - E Lundberg
- Department of Engineering Mechanics, KTH Royal Institute of Technology, 100 44 Stockholm, Sweden
| | - P Göransson
- Department of Engineering Mechanics, KTH Royal Institute of Technology, 100 44 Stockholm, Sweden
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23
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Mahdessian D, Cesnik AJ, Gnann C, Danielsson F, Stenström L, Arif M, Zhang C, Le T, Johansson F, Schutten R, Bäckström A, Axelsson U, Thul P, Cho NH, Carja O, Uhlén M, Mardinoglu A, Stadler C, Lindskog C, Ayoglu B, Leonetti MD, Pontén F, Sullivan DP, Lundberg E. Spatiotemporal dissection of the cell cycle with single-cell proteogenomics. Nature 2021; 590:649-654. [PMID: 33627808 DOI: 10.1038/s41586-021-03232-9] [Citation(s) in RCA: 83] [Impact Index Per Article: 27.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2019] [Accepted: 01/12/2021] [Indexed: 01/31/2023]
Abstract
The cell cycle, over which cells grow and divide, is a fundamental process of life. Its dysregulation has devastating consequences, including cancer1-3. The cell cycle is driven by precise regulation of proteins in time and space, which creates variability between individual proliferating cells. To our knowledge, no systematic investigations of such cell-to-cell proteomic variability exist. Here we present a comprehensive, spatiotemporal map of human proteomic heterogeneity by integrating proteomics at subcellular resolution with single-cell transcriptomics and precise temporal measurements of individual cells in the cell cycle. We show that around one-fifth of the human proteome displays cell-to-cell variability, identify hundreds of proteins with previously unknown associations with mitosis and the cell cycle, and provide evidence that several of these proteins have oncogenic functions. Our results show that cell cycle progression explains less than half of all cell-to-cell variability, and that most cycling proteins are regulated post-translationally, rather than by transcriptomic cycling. These proteins are disproportionately phosphorylated by kinases that regulate cell fate, whereas non-cycling proteins that vary between cells are more likely to be modified by kinases that regulate metabolism. This spatially resolved proteomic map of the cell cycle is integrated into the Human Protein Atlas and will serve as a resource for accelerating molecular studies of the human cell cycle and cell proliferation.
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Affiliation(s)
- Diana Mahdessian
- Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH - Royal Institute of Technology, Stockholm, Sweden
| | - Anthony J Cesnik
- Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH - Royal Institute of Technology, Stockholm, Sweden.,Department of Genetics, Stanford University, Stanford, CA, USA.,Chan Zuckerberg Biohub, San Francisco, San Francisco, CA, USA
| | - Christian Gnann
- Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH - Royal Institute of Technology, Stockholm, Sweden.,Chan Zuckerberg Biohub, San Francisco, San Francisco, CA, USA
| | - Frida Danielsson
- Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH - Royal Institute of Technology, Stockholm, Sweden
| | - Lovisa Stenström
- Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH - Royal Institute of Technology, Stockholm, Sweden
| | - Muhammad Arif
- Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH - Royal Institute of Technology, Stockholm, Sweden
| | - Cheng Zhang
- Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH - Royal Institute of Technology, Stockholm, Sweden
| | - Trang Le
- Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH - Royal Institute of Technology, Stockholm, Sweden
| | - Fredric Johansson
- Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH - Royal Institute of Technology, Stockholm, Sweden
| | - Rutger Schutten
- Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH - Royal Institute of Technology, Stockholm, Sweden
| | - Anna Bäckström
- Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH - Royal Institute of Technology, Stockholm, Sweden
| | - Ulrika Axelsson
- Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH - Royal Institute of Technology, Stockholm, Sweden
| | - Peter Thul
- Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH - Royal Institute of Technology, Stockholm, Sweden
| | - Nathan H Cho
- Chan Zuckerberg Biohub, San Francisco, San Francisco, CA, USA
| | - Oana Carja
- Department of Genetics, Stanford University, Stanford, CA, USA.,Chan Zuckerberg Biohub, San Francisco, San Francisco, CA, USA.,Computational Biology Department, Carnegie Mellon University, Pittsburgh, PA, USA
| | - Mathias Uhlén
- Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH - Royal Institute of Technology, Stockholm, Sweden
| | - Adil Mardinoglu
- Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH - Royal Institute of Technology, Stockholm, Sweden.,Centre for Host-Microbiome Interactions, Faculty of Dentistry, Oral & Craniofacial Sciences, King's College London, London, UK
| | - Charlotte Stadler
- Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH - Royal Institute of Technology, Stockholm, Sweden
| | - Cecilia Lindskog
- Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden
| | - Burcu Ayoglu
- Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH - Royal Institute of Technology, Stockholm, Sweden
| | | | - Fredrik Pontén
- Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden
| | - Devin P Sullivan
- Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH - Royal Institute of Technology, Stockholm, Sweden
| | - Emma Lundberg
- Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH - Royal Institute of Technology, Stockholm, Sweden. .,Department of Genetics, Stanford University, Stanford, CA, USA. .,Chan Zuckerberg Biohub, San Francisco, San Francisco, CA, USA.
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24
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Gnann C, Cesnik AJ, Lundberg E. Illuminating Non-genetic Cellular Heterogeneity with Imaging-Based Spatial Proteomics. Trends Cancer 2021; 7:278-282. [PMID: 33436349 DOI: 10.1016/j.trecan.2020.12.006] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2020] [Revised: 12/07/2020] [Accepted: 12/08/2020] [Indexed: 10/22/2022]
Abstract
Cellular heterogeneity is an important biological phenomenon observed across space and time in human tissues. Imaging-based spatial proteomic technologies can provide fruitful new readouts of phenotypic states for individual cells at subcellular resolution, which may help unravel the roles of non-genetic cellular heterogeneity in tumorigenesis and drug resistance.
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Affiliation(s)
- Christian Gnann
- Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH - Royal Institute of Technology, Stockholm, 17121, Sweden
| | - Anthony J Cesnik
- Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH - Royal Institute of Technology, Stockholm, 17121, Sweden
| | - Emma Lundberg
- Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH - Royal Institute of Technology, Stockholm, 17121, Sweden.
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25
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Adhikari S, Nice EC, Deutsch EW, Lane L, Omenn GS, Pennington SR, Paik YK, Overall CM, Corrales FJ, Cristea IM, Van Eyk JE, Uhlén M, Lindskog C, Chan DW, Bairoch A, Waddington JC, Justice JL, LaBaer J, Rodriguez H, He F, Kostrzewa M, Ping P, Gundry RL, Stewart P, Srivastava S, Srivastava S, Nogueira FCS, Domont GB, Vandenbrouck Y, Lam MPY, Wennersten S, Vizcaino JA, Wilkins M, Schwenk JM, Lundberg E, Bandeira N, Marko-Varga G, Weintraub ST, Pineau C, Kusebauch U, Moritz RL, Ahn SB, Palmblad M, Snyder MP, Aebersold R, Baker MS. A high-stringency blueprint of the human proteome. Nat Commun 2020; 11:5301. [PMID: 33067450 PMCID: PMC7568584 DOI: 10.1038/s41467-020-19045-9] [Citation(s) in RCA: 122] [Impact Index Per Article: 30.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2019] [Accepted: 09/25/2020] [Indexed: 02/07/2023] Open
Abstract
The Human Proteome Organization (HUPO) launched the Human Proteome Project (HPP) in 2010, creating an international framework for global collaboration, data sharing, quality assurance and enhancing accurate annotation of the genome-encoded proteome. During the subsequent decade, the HPP established collaborations, developed guidelines and metrics, and undertook reanalysis of previously deposited community data, continuously increasing the coverage of the human proteome. On the occasion of the HPP's tenth anniversary, we here report a 90.4% complete high-stringency human proteome blueprint. This knowledge is essential for discerning molecular processes in health and disease, as we demonstrate by highlighting potential roles the human proteome plays in our understanding, diagnosis and treatment of cancers, cardiovascular and infectious diseases.
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Affiliation(s)
- Subash Adhikari
- Faculty of Medicine, Health and Human Sciences, Department of Biomedical Sciences, Macquarie University, North Ryde, NSW, 2109, Australia
| | - Edouard C Nice
- Faculty of Medicine, Health and Human Sciences, Department of Biomedical Sciences, Macquarie University, North Ryde, NSW, 2109, Australia
- Faculty of Medicine, Nursing and Health Sciences, Department of Biochemistry and Molecular Biology, Monash University, Melbourne, VIC, 3800, Australia
| | - Eric W Deutsch
- Institute for Systems Biology, 401 Terry Avenue North, Seattle, WA, 98109, USA
| | - Lydie Lane
- Faculty of Medicine, SIB-Swiss Institute of Bioinformatics and Department of Microbiology and Molecular Medicine, University of Geneva, CMU, Michel-Servet 1, 1211, Geneva, Switzerland
| | - Gilbert S Omenn
- Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, 48109-2218, USA
| | - Stephen R Pennington
- UCD Conway Institute of Biomolecular and Biomedical Research, School of Medicine, University College Dublin, Dublin, Ireland
| | - Young-Ki Paik
- Yonsei Proteome Research Center, 50 Yonsei-ro, Sudaemoon-ku, Seoul, 120-749, South Korea
| | | | - Fernando J Corrales
- Functional Proteomics Laboratory, Centro Nacional de Biotecnología-CSIC, Proteored-ISCIII, 28049, Madrid, Spain
| | - Ileana M Cristea
- Department of Molecular Biology, Princeton University, Princeton, NJ, 08544, USA
| | - Jennifer E Van Eyk
- Cedars Sinai Medical Center, Advanced Clinical Biosystems Research Institute, The Smidt Heart Institute, Los Angeles, CA, 90048, USA
| | - Mathias Uhlén
- Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH Royal Institute of Technology, 17121, Solna, Sweden
| | - Cecilia Lindskog
- Rudbeck Laboratory, Department of Immunology, Genetics and Pathology, Uppsala University, 75185, Uppsala, Sweden
| | - Daniel W Chan
- Department of Pathology and Oncology, Johns Hopkins University School of Medicine, Baltimore, MD, 21224, USA
| | - Amos Bairoch
- Faculty of Medicine, SIB-Swiss Institute of Bioinformatics and Department of Microbiology and Molecular Medicine, University of Geneva, CMU, Michel-Servet 1, 1211, Geneva, Switzerland
| | - James C Waddington
- UCD Conway Institute of Biomolecular and Biomedical Research, School of Medicine, University College Dublin, Dublin, Ireland
| | - Joshua L Justice
- Department of Molecular Biology, Princeton University, Princeton, NJ, 08544, USA
| | - Joshua LaBaer
- Biodesign Institute, Arizona State University, Tempe, AZ, USA
| | - Henry Rodriguez
- Office of Cancer Clinical Proteomics Research, National Cancer Institute, NIH, Bethesda, MD, 20892, USA
| | - Fuchu He
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences (Beijing), Beijing Institute of Lifeomics, Beijing, 102206, China
| | - Markus Kostrzewa
- Bruker Daltonik GmbH, Microbiology and Diagnostics, Fahrenheitstrasse, 428359, Bremen, Germany
| | - Peipei Ping
- Cardiac Proteomics and Signaling Laboratory, Department of Physiology, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
| | - Rebekah L Gundry
- CardiOmics Program, Center for Heart and Vascular Research, Division of Cardiovascular Medicine and Department of Cellular and Integrative Physiology, University of Nebraska Medical Center, Omaha, NE, 68198, USA
| | - Peter Stewart
- Department of Chemical Pathology, Royal Prince Alfred Hospital, Camperdown, NSW, Australia
| | | | - Sudhir Srivastava
- Cancer Biomarkers Research Branch, National Cancer Institute, National Institutes of Health, 9609 Medical Center Drive, Suite 5E136, Rockville, MD, 20852, USA
| | - Fabio C S Nogueira
- Proteomics Unit and Laboratory of Proteomics, Institute of Chemistry, Federal University of Rio de Janeiro, Av Athos da Silveria Ramos, 149, 21941-909, Rio de Janeiro, RJ, Brazil
| | - Gilberto B Domont
- Proteomics Unit and Laboratory of Proteomics, Institute of Chemistry, Federal University of Rio de Janeiro, Av Athos da Silveria Ramos, 149, 21941-909, Rio de Janeiro, RJ, Brazil
| | - Yves Vandenbrouck
- University of Grenoble Alpes, Inserm, CEA, IRIG-BGE, U1038, 38000, Grenoble, France
| | - Maggie P Y Lam
- Departments of Medicine-Cardiology and Biochemistry and Molecular Genetics, University of Colorado, Anschutz Medical Campus, Aurora, CO, USA
- Consortium for Fibrosis Research and Translation, University of Colorado, Anschutz Medical Campus, Aurora, CO, USA
| | - Sara Wennersten
- Division of Cardiology, Department of Medicine, University of Colorado, Anschutz Medical Campus, Aurora, CO, USA
| | - Juan Antonio Vizcaino
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SD, UK
| | - Marc Wilkins
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, NSW, Australia
| | - Jochen M Schwenk
- Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH Royal Institute of Technology, 17121, Solna, Sweden
| | - Emma Lundberg
- Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH Royal Institute of Technology, 17121, Solna, Sweden
| | - Nuno Bandeira
- Department of Computer Science and Engineering, University of California, San Diego, 9500 Gilman Drive, Mail Code 0404, La Jolla, CA, 92093-0404, USA
| | | | - Susan T Weintraub
- Department of Biochemistry and Structural Biology, University of Texas Health Science Center San Antonio, UT Health, 7703 Floyd Curl Drive, San Antonio, TX, 78229-3900, USA
| | - Charles Pineau
- University of Rennes, Inserm, EHESP, IREST, UMR_S 1085, F-35042, Rennes, France
| | - Ulrike Kusebauch
- Institute for Systems Biology, 401 Terry Avenue North, Seattle, WA, 98109, USA
| | - Robert L Moritz
- Institute for Systems Biology, 401 Terry Avenue North, Seattle, WA, 98109, USA
| | - Seong Beom Ahn
- Faculty of Medicine, Health and Human Sciences, Department of Biomedical Sciences, Macquarie University, North Ryde, NSW, 2109, Australia
| | - Magnus Palmblad
- Leiden University Medical Center, Leiden, 2333, The Netherlands
| | - Michael P Snyder
- Department of Genetics, Stanford School of Medicine, Stanford, CA, 94305, USA
| | - Ruedi Aebersold
- Institute for Systems Biology, 401 Terry Avenue North, Seattle, WA, 98109, USA
- Faculty of Science, University of Zurich, Zurich, Switzerland
| | - Mark S Baker
- Faculty of Medicine, Health and Human Sciences, Department of Biomedical Sciences, Macquarie University, North Ryde, NSW, 2109, Australia.
- Department of Genetics, Stanford School of Medicine, Stanford, CA, 94305, USA.
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26
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Ouyang W, Winsnes CF, Hjelmare M, Cesnik AJ, Åkesson L, Xu H, Sullivan DP, Dai S, Lan J, Jinmo P, Galib SM, Henkel C, Hwang K, Poplavskiy D, Tunguz B, Wolfinger RD, Gu Y, Li C, Xie J, Buslov D, Fironov S, Kiselev A, Panchenko D, Cao X, Wei R, Wu Y, Zhu X, Tseng KL, Gao Z, Ju C, Yi X, Zheng H, Kappel C, Lundberg E. Author Correction: Analysis of the Human Protein Atlas Image Classification competition. Nat Methods 2020; 17:948. [PMID: 32760039 PMCID: PMC7462740 DOI: 10.1038/s41592-020-0937-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- Wei Ouyang
- Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH-Royal Institute of Technology, Stockholm, Sweden
| | - Casper F Winsnes
- Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH-Royal Institute of Technology, Stockholm, Sweden
| | - Martin Hjelmare
- Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH-Royal Institute of Technology, Stockholm, Sweden
| | - Anthony J Cesnik
- Department of Genetics, Stanford University, Stanford, CA, USA.,Chan Zuckerberg Biohub, San Francisco, CA, USA
| | - Lovisa Åkesson
- Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH-Royal Institute of Technology, Stockholm, Sweden
| | - Hao Xu
- Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH-Royal Institute of Technology, Stockholm, Sweden
| | - Devin P Sullivan
- Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH-Royal Institute of Technology, Stockholm, Sweden
| | | | - Jun Lan
- Winning Health Technology Group Co., Ltd., Shanghai, China
| | | | - Shaikat M Galib
- Missouri University of Science and Technology, Rolla, MO, USA
| | | | | | | | | | | | - Yinzheng Gu
- Jilian Technology Group (Video++), Shanghai, China
| | - Chuanpeng Li
- Jilian Technology Group (Video++), Shanghai, China
| | - Jinbin Xie
- Jilian Technology Group (Video++), Shanghai, China
| | | | | | | | - Dmytro Panchenko
- Kharkiv National University of Radioelectronics, Kharkiv, Ukraine
| | | | - Runmin Wei
- UT MD Anderson Cancer Center, Houston, TX, USA
| | | | - Xun Zhu
- University of Hawaii Cancer Center, Honolulu, HI, USA
| | | | | | - Cheng Ju
- University of California Berkeley, Berkeley, CA, USA
| | | | | | | | - Emma Lundberg
- Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH-Royal Institute of Technology, Stockholm, Sweden. .,Department of Genetics, Stanford University, Stanford, CA, USA. .,Chan Zuckerberg Biohub, San Francisco, CA, USA.
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27
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Stenström L, Mahdessian D, Gnann C, Cesnik AJ, Ouyang W, Leonetti MD, Uhlén M, Cuylen‐Haering S, Thul PJ, Lundberg E. Mapping the nucleolar proteome reveals a spatiotemporal organization related to intrinsic protein disorder. Mol Syst Biol 2020; 16:e9469. [PMID: 32744794 PMCID: PMC7397901 DOI: 10.15252/msb.20209469] [Citation(s) in RCA: 69] [Impact Index Per Article: 17.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2020] [Revised: 07/02/2020] [Accepted: 07/03/2020] [Indexed: 01/01/2023] Open
Abstract
The nucleolus is essential for ribosome biogenesis and is involved in many other cellular functions. We performed a systematic spatiotemporal dissection of the human nucleolar proteome using confocal microscopy. In total, 1,318 nucleolar proteins were identified; 287 were localized to fibrillar components, and 157 were enriched along the nucleoplasmic border, indicating a potential fourth nucleolar subcompartment: the nucleoli rim. We found 65 nucleolar proteins (36 uncharacterized) to relocate to the chromosomal periphery during mitosis. Interestingly, we observed temporal partitioning into two recruitment phenotypes: early (prometaphase) and late (after metaphase), suggesting phase-specific functions. We further show that the expression of MKI67 is critical for this temporal partitioning. We provide the first proteome-wide analysis of intrinsic protein disorder for the human nucleolus and show that nucleolar proteins in general, and mitotic chromosome proteins in particular, have significantly higher intrinsic disorder level compared to cytosolic proteins. In summary, this study provides a comprehensive and essential resource of spatiotemporal expression data for the nucleolar proteome as part of the Human Protein Atlas.
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Affiliation(s)
- Lovisa Stenström
- Science for Life LaboratorySchool of Engineering Sciences in Chemistry, Biotechnology and HealthKTH Royal Institute of TechnologyStockholmSweden
| | - Diana Mahdessian
- Science for Life LaboratorySchool of Engineering Sciences in Chemistry, Biotechnology and HealthKTH Royal Institute of TechnologyStockholmSweden
| | - Christian Gnann
- Science for Life LaboratorySchool of Engineering Sciences in Chemistry, Biotechnology and HealthKTH Royal Institute of TechnologyStockholmSweden
- Chan Zuckerberg BiohubSan FranciscoCAUSA
| | - Anthony J Cesnik
- Chan Zuckerberg BiohubSan FranciscoCAUSA
- Department of GeneticsStanford UniversityStanfordCAUSA
| | - Wei Ouyang
- Science for Life LaboratorySchool of Engineering Sciences in Chemistry, Biotechnology and HealthKTH Royal Institute of TechnologyStockholmSweden
| | | | - Mathias Uhlén
- Science for Life LaboratorySchool of Engineering Sciences in Chemistry, Biotechnology and HealthKTH Royal Institute of TechnologyStockholmSweden
| | - Sara Cuylen‐Haering
- Cell Biology and Biophysics UnitEuropean Molecular Biology LaboratoryHeidelbergGermany
| | - Peter J Thul
- Science for Life LaboratorySchool of Engineering Sciences in Chemistry, Biotechnology and HealthKTH Royal Institute of TechnologyStockholmSweden
| | - Emma Lundberg
- Science for Life LaboratorySchool of Engineering Sciences in Chemistry, Biotechnology and HealthKTH Royal Institute of TechnologyStockholmSweden
- Chan Zuckerberg BiohubSan FranciscoCAUSA
- Department of GeneticsStanford UniversityStanfordCAUSA
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28
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Danielsson F, Mahdessian D, Axelsson U, Sullivan D, Uhlén M, Andersen JS, Thul PJ, Lundberg E. Spatial Characterization of the Human Centrosome Proteome Opens Up New Horizons for a Small but Versatile Organelle. Proteomics 2020; 20:e1900361. [PMID: 32558245 DOI: 10.1002/pmic.201900361] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2020] [Revised: 05/29/2020] [Indexed: 12/27/2022]
Abstract
After a century of research, the human centrosome continues to fascinate. Based on immunofluorescence and confocal microscopy, an extensive inventory of the protein components of the human centrosome, and the centriolar satellites, with the important contribution of over 300 novel proteins localizing to these compartments is presented. A network of candidate centrosome proteins involved in ubiquitination, including six interaction partners of the Kelch-like protein 21, and an additional network of protein phosphatases, together supporting the suggested role of the centrosome as an interactive hub for cell signaling, is identified. Analysis of multi-localization across cellular organelles analyzed within the Human Protein Atlas (HPA) project shows how multi-localizing proteins are particularly overrepresented in centriolar satellites, supporting the dynamic nature and wide range of functions for this compartment. In summary, the spatial dissection of the human centrosome and centriolar satellites described here provides a comprehensive knowledgebase for further exploration of their proteomes.
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Affiliation(s)
- Frida Danielsson
- Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH - Royal Institute of Technology, Solna, 17121, Sweden
| | - Diana Mahdessian
- Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH - Royal Institute of Technology, Solna, 17121, Sweden
| | - Ulrika Axelsson
- Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH - Royal Institute of Technology, Solna, 17121, Sweden
| | - Devin Sullivan
- Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH - Royal Institute of Technology, Solna, 17121, Sweden
| | - Mathias Uhlén
- Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH - Royal Institute of Technology, Solna, 17121, Sweden.,Department of Protein Science, KTH - Royal Institute of Technology, Stockholm, 106 91, Sweden
| | - Jens S Andersen
- Center for Experimental Bioinformatics, Department of Biochemistry and Molecular Biology, University of Southern Denmark, Odense M, 5230, Denmark
| | - Peter J Thul
- Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH - Royal Institute of Technology, Solna, 17121, Sweden
| | - Emma Lundberg
- Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH - Royal Institute of Technology, Solna, 17121, Sweden
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29
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Bäckström A, Kugel L, Gnann C, Xu H, Aslan JE, Lundberg E, Stadler C. A Sample Preparation Protocol for High Throughput Immunofluorescence of Suspension Cells on an Adherent Surface. J Histochem Cytochem 2020; 68:473-489. [PMID: 32564662 PMCID: PMC7350080 DOI: 10.1369/0022155420935403] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
Imaging is a powerful approach for studying protein expression and has the advantage over other methodologies in providing spatial information in situ at single cell level. Using immunofluorescence and confocal microscopy, detailed information of subcellular distribution of proteins can be obtained. While adherent cells of different tissue origin are relatively easy to prepare for imaging applications, non-adherent cells from hematopoietic origin, present a challenge due to their poor attachment to surfaces and subsequent loss of a substantial fraction of the cells. Still, these cell types represent an important part of the human proteome and express genes that are not expressed in adherent cell types. In the era of cell mapping efforts, overcoming the challenge with suspension cells for imaging applications would enable systematic profiling of hematopoietic cells. In this work, we successfully established an immunofluorescence protocol for preparation of suspension cell lines, peripheral blood mononucleated cells (PBMC) and human platelets on an adherent surface. The protocol is based on a multi-well plate format with automated sample preparation, allowing for robust high throughput imaging applications. In combination with confocal microscopy, the protocol enables systematic exploration of protein localization to all major subcellular structures.
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Affiliation(s)
- Anna Bäckström
- Department of Protein Science, Royal Institute of Technology, Stockholm, Sweden (AB, LK, CG, HX, EL, CS).,Knight Cardiovascular Institute, Oregon Health & Science University, Portland, Oregon (JEA)
| | - Laura Kugel
- Department of Protein Science, Royal Institute of Technology, Stockholm, Sweden (AB, LK, CG, HX, EL, CS).,Knight Cardiovascular Institute, Oregon Health & Science University, Portland, Oregon (JEA)
| | - Christian Gnann
- Department of Protein Science, Royal Institute of Technology, Stockholm, Sweden (AB, LK, CG, HX, EL, CS).,Knight Cardiovascular Institute, Oregon Health & Science University, Portland, Oregon (JEA)
| | - Hao Xu
- Department of Protein Science, Royal Institute of Technology, Stockholm, Sweden (AB, LK, CG, HX, EL, CS).,Knight Cardiovascular Institute, Oregon Health & Science University, Portland, Oregon (JEA)
| | - Joseph E Aslan
- Department of Protein Science, Royal Institute of Technology, Stockholm, Sweden (AB, LK, CG, HX, EL, CS).,Knight Cardiovascular Institute, Oregon Health & Science University, Portland, Oregon (JEA)
| | - Emma Lundberg
- Department of Protein Science, Royal Institute of Technology, Stockholm, Sweden (AB, LK, CG, HX, EL, CS).,Knight Cardiovascular Institute, Oregon Health & Science University, Portland, Oregon (JEA)
| | - Charlotte Stadler
- Department of Protein Science, Royal Institute of Technology, Stockholm, Sweden (AB, LK, CG, HX, EL, CS).,Knight Cardiovascular Institute, Oregon Health & Science University, Portland, Oregon (JEA)
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30
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Abstract
Protein subcellular localization is tightly controlled and intimately linked to protein function in health and disease. Capturing the spatial proteome - that is, the localizations of proteins and their dynamics at the subcellular level - is therefore essential for a complete understanding of cell biology. Owing to substantial advances in microscopy, mass spectrometry and machine learning applications for data analysis, the field is now mature for proteome-wide investigations of spatial cellular regulation. Studies of the human proteome have begun to reveal a complex architecture, including single-cell variations, dynamic protein translocations, changing interaction networks and proteins localizing to multiple compartments. Furthermore, several studies have successfully harnessed the power of comparative spatial proteomics as a discovery tool to unravel disease mechanisms. We are at the beginning of an era in which spatial proteomics finally integrates with cell biology and medical research, thereby paving the way for unbiased systems-level insights into cellular processes. Here, we discuss current methods for spatial proteomics using imaging or mass spectrometry and specifically highlight global comparative applications. The aim of this Review is to survey the state of the field and also to encourage more cell biologists to apply spatial proteomics approaches.
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Affiliation(s)
- Emma Lundberg
- Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH - Royal Institute of Technology, Stockholm, Sweden. .,Department of Genetics, Stanford University, Stanford, CA, USA. .,Chan Zuckerberg Biohub, San Francisco, CA, USA.
| | - Georg H H Borner
- Max Planck Institute of Biochemistry, Department of Proteomics and Signal Transduction, Martinsried, Germany.
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31
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Ouyang W, Winsnes CF, Hjelmare M, Cesnik AJ, Åkesson L, Xu H, Sullivan DP, Dai S, Lan J, Jinmo P, Galib SM, Henkel C, Hwang K, Poplavskiy D, Tunguz B, Wolfinger RD, Gu Y, Li C, Xie J, Buslov D, Fironov S, Kiselev A, Panchenko D, Cao X, Wei R, Wu Y, Zhu X, Tseng KL, Gao Z, Ju C, Yi X, Zheng H, Kappel C, Lundberg E. Publisher Correction: Analysis of the Human Protein Atlas Image Classification competition. Nat Methods 2020; 17:241. [PMID: 31969731 PMCID: PMC7000326 DOI: 10.1038/s41592-020-0734-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Affiliation(s)
- Wei Ouyang
- Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH-Royal Institute of Technology, Stockholm, Sweden
| | - Casper F Winsnes
- Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH-Royal Institute of Technology, Stockholm, Sweden
| | - Martin Hjelmare
- Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH-Royal Institute of Technology, Stockholm, Sweden
| | - Anthony J Cesnik
- Department of Genetics, Stanford University, Stanford, CA, USA.,Chan Zuckerberg Biohub, San Francisco, CA, USA
| | - Lovisa Åkesson
- Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH-Royal Institute of Technology, Stockholm, Sweden
| | - Hao Xu
- Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH-Royal Institute of Technology, Stockholm, Sweden
| | - Devin P Sullivan
- Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH-Royal Institute of Technology, Stockholm, Sweden
| | | | - Jun Lan
- Winning Health Technology Group Co., Ltd., Shanghai, China
| | | | - Shaikat M Galib
- Missouri University of Science and Technology, Rolla, MO, USA
| | | | | | | | | | | | - Yinzheng Gu
- Jilian Technology Group (Video++), Shanghai, China
| | - Chuanpeng Li
- Jilian Technology Group (Video++), Shanghai, China
| | - Jinbin Xie
- Jilian Technology Group (Video++), Shanghai, China
| | | | | | | | | | | | - Runmin Wei
- UT MD Anderson Cancer Center, Houston, TX, USA
| | | | - Xun Zhu
- University of Hawaii Cancer Center, Honolulu, HI, USA
| | | | | | - Cheng Ju
- University of California Berkeley, Berkeley, CA, USA
| | | | | | | | - Emma Lundberg
- Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH-Royal Institute of Technology, Stockholm, Sweden. .,Department of Genetics, Stanford University, Stanford, CA, USA. .,Chan Zuckerberg Biohub, San Francisco, CA, USA.
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32
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Ouyang W, Winsnes CF, Hjelmare M, Cesnik AJ, Åkesson L, Xu H, Sullivan DP, Dai S, Lan J, Jinmo P, Galib SM, Henkel C, Hwang K, Poplavskiy D, Tunguz B, Wolfinger RD, Gu Y, Li C, Xie J, Buslov D, Fironov S, Kiselev A, Panchenko D, Cao X, Wei R, Wu Y, Zhu X, Tseng KL, Gao Z, Ju C, Yi X, Zheng H, Kappel C, Lundberg E. Analysis of the Human Protein Atlas Image Classification competition. Nat Methods 2019; 16:1254-1261. [PMID: 31780840 PMCID: PMC6976526 DOI: 10.1038/s41592-019-0658-6] [Citation(s) in RCA: 51] [Impact Index Per Article: 10.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2019] [Accepted: 10/17/2019] [Indexed: 11/08/2022]
Abstract
Pinpointing subcellular protein localizations from microscopy images is easy to the trained eye, but challenging to automate. Based on the Human Protein Atlas image collection, we held a competition to identify deep learning solutions to solve this task. Challenges included training on highly imbalanced classes and predicting multiple labels per image. Over 3 months, 2,172 teams participated. Despite convergence on popular networks and training techniques, there was considerable variety among the solutions. Participants applied strategies for modifying neural networks and loss functions, augmenting data and using pretrained networks. The winning models far outperformed our previous effort at multi-label classification of protein localization patterns by ~20%. These models can be used as classifiers to annotate new images, feature extractors to measure pattern similarity or pretrained networks for a wide range of biological applications.
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Affiliation(s)
- Wei Ouyang
- Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH-Royal Institute of Technology, Stockholm, Sweden
| | - Casper F Winsnes
- Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH-Royal Institute of Technology, Stockholm, Sweden
| | - Martin Hjelmare
- Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH-Royal Institute of Technology, Stockholm, Sweden
| | - Anthony J Cesnik
- Department of Genetics, Stanford University, Stanford, CA, USA
- Chan Zuckerberg Biohub, San Francisco, CA, USA
| | - Lovisa Åkesson
- Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH-Royal Institute of Technology, Stockholm, Sweden
| | - Hao Xu
- Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH-Royal Institute of Technology, Stockholm, Sweden
| | - Devin P Sullivan
- Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH-Royal Institute of Technology, Stockholm, Sweden
| | | | - Jun Lan
- Winning Health Technology Group Co., Ltd., Shanghai, China
| | | | - Shaikat M Galib
- Missouri University of Science and Technology, Rolla, MO, USA
| | | | | | | | | | | | - Yinzheng Gu
- Jilian Technology Group (Video++), Shanghai, China
| | - Chuanpeng Li
- Jilian Technology Group (Video++), Shanghai, China
| | - Jinbin Xie
- Jilian Technology Group (Video++), Shanghai, China
| | | | | | | | - Dmytro Panchenko
- Kharkiv National University of Radioelectronics, Kharkiv, Ukraine
| | | | - Runmin Wei
- UT MD Anderson Cancer Center, Houston, TX, USA
| | | | - Xun Zhu
- University of Hawaii Cancer Center, Honolulu, HI, USA
| | | | | | - Cheng Ju
- University of California Berkeley, Berkeley, CA, USA
| | | | | | | | - Emma Lundberg
- Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH-Royal Institute of Technology, Stockholm, Sweden.
- Department of Genetics, Stanford University, Stanford, CA, USA.
- Chan Zuckerberg Biohub, San Francisco, CA, USA.
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33
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Uhlén M, Karlsson MJ, Hober A, Svensson AS, Scheffel J, Kotol D, Zhong W, Tebani A, Strandberg L, Edfors F, Sjöstedt E, Mulder J, Mardinoglu A, Berling A, Ekblad S, Dannemeyer M, Kanje S, Rockberg J, Lundqvist M, Malm M, Volk AL, Nilsson P, Månberg A, Dodig-Crnkovic T, Pin E, Zwahlen M, Oksvold P, von Feilitzen K, Häussler RS, Hong MG, Lindskog C, Ponten F, Katona B, Vuu J, Lindström E, Nielsen J, Robinson J, Ayoglu B, Mahdessian D, Sullivan D, Thul P, Danielsson F, Stadler C, Lundberg E, Bergström G, Gummesson A, Voldborg BG, Tegel H, Hober S, Forsström B, Schwenk JM, Fagerberg L, Sivertsson Å. The human secretome. Sci Signal 2019; 12:12/609/eaaz0274. [PMID: 31772123 DOI: 10.1126/scisignal.aaz0274] [Citation(s) in RCA: 204] [Impact Index Per Article: 40.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
The proteins secreted by human cells (collectively referred to as the secretome) are important not only for the basic understanding of human biology but also for the identification of potential targets for future diagnostics and therapies. Here, we present a comprehensive analysis of proteins predicted to be secreted in human cells, which provides information about their final localization in the human body, including the proteins actively secreted to peripheral blood. The analysis suggests that a large number of the proteins of the secretome are not secreted out of the cell, but instead are retained intracellularly, whereas another large group of proteins were identified that are predicted to be retained locally at the tissue of expression and not secreted into the blood. Proteins detected in the human blood by mass spectrometry-based proteomics and antibody-based immunoassays are also presented with estimates of their concentrations in the blood. The results are presented in an updated version 19 of the Human Protein Atlas in which each gene encoding a secretome protein is annotated to provide an open-access knowledge resource of the human secretome, including body-wide expression data, spatial localization data down to the single-cell and subcellular levels, and data about the presence of proteins that are detectable in the blood.
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Affiliation(s)
- Mathias Uhlén
- Department of Protein Science, Science for Life Laboratory, KTH-Royal Institute of Technology, Stockholm, Sweden. .,Center for Biosustainability, Technical University of Denmark, Lyngby, Denmark.,Department of Neuroscience, Karolinska Institute, Stockholm, Sweden
| | - Max J Karlsson
- Department of Protein Science, Science for Life Laboratory, KTH-Royal Institute of Technology, Stockholm, Sweden
| | - Andreas Hober
- Department of Protein Science, Science for Life Laboratory, KTH-Royal Institute of Technology, Stockholm, Sweden
| | - Anne-Sophie Svensson
- Department of Protein Science, AlbaNova University Center, KTH-Royal Institute of Technology, Stockholm, Sweden
| | - Julia Scheffel
- Department of Protein Science, AlbaNova University Center, KTH-Royal Institute of Technology, Stockholm, Sweden
| | - David Kotol
- Department of Protein Science, Science for Life Laboratory, KTH-Royal Institute of Technology, Stockholm, Sweden
| | - Wen Zhong
- Department of Protein Science, Science for Life Laboratory, KTH-Royal Institute of Technology, Stockholm, Sweden
| | - Abdellah Tebani
- Department of Protein Science, Science for Life Laboratory, KTH-Royal Institute of Technology, Stockholm, Sweden
| | - Linnéa Strandberg
- Department of Protein Science, Science for Life Laboratory, KTH-Royal Institute of Technology, Stockholm, Sweden
| | - Fredrik Edfors
- Department of Protein Science, Science for Life Laboratory, KTH-Royal Institute of Technology, Stockholm, Sweden.,Department of Genetics, School of Medicine, Stanford University, Stanford, CA, USA
| | - Evelina Sjöstedt
- Department of Neuroscience, Karolinska Institute, Stockholm, Sweden
| | - Jan Mulder
- Department of Neuroscience, Karolinska Institute, Stockholm, Sweden
| | - Adil Mardinoglu
- Department of Protein Science, Science for Life Laboratory, KTH-Royal Institute of Technology, Stockholm, Sweden
| | - Anna Berling
- Department of Protein Science, AlbaNova University Center, KTH-Royal Institute of Technology, Stockholm, Sweden
| | - Siri Ekblad
- Department of Protein Science, AlbaNova University Center, KTH-Royal Institute of Technology, Stockholm, Sweden
| | - Melanie Dannemeyer
- Department of Protein Science, AlbaNova University Center, KTH-Royal Institute of Technology, Stockholm, Sweden
| | - Sara Kanje
- Department of Protein Science, AlbaNova University Center, KTH-Royal Institute of Technology, Stockholm, Sweden
| | - Johan Rockberg
- Department of Protein Science, AlbaNova University Center, KTH-Royal Institute of Technology, Stockholm, Sweden
| | - Magnus Lundqvist
- Department of Protein Science, AlbaNova University Center, KTH-Royal Institute of Technology, Stockholm, Sweden
| | - Magdalena Malm
- Department of Protein Science, AlbaNova University Center, KTH-Royal Institute of Technology, Stockholm, Sweden
| | - Anna-Luisa Volk
- Department of Protein Science, AlbaNova University Center, KTH-Royal Institute of Technology, Stockholm, Sweden
| | - Peter Nilsson
- Department of Protein Science, Science for Life Laboratory, KTH-Royal Institute of Technology, Stockholm, Sweden
| | - Anna Månberg
- Department of Protein Science, Science for Life Laboratory, KTH-Royal Institute of Technology, Stockholm, Sweden
| | - Tea Dodig-Crnkovic
- Department of Protein Science, Science for Life Laboratory, KTH-Royal Institute of Technology, Stockholm, Sweden
| | - Elisa Pin
- Department of Protein Science, Science for Life Laboratory, KTH-Royal Institute of Technology, Stockholm, Sweden
| | - Martin Zwahlen
- Department of Protein Science, Science for Life Laboratory, KTH-Royal Institute of Technology, Stockholm, Sweden
| | - Per Oksvold
- Department of Protein Science, Science for Life Laboratory, KTH-Royal Institute of Technology, Stockholm, Sweden
| | - Kalle von Feilitzen
- Department of Protein Science, Science for Life Laboratory, KTH-Royal Institute of Technology, Stockholm, Sweden
| | - Ragna S Häussler
- Department of Protein Science, Science for Life Laboratory, KTH-Royal Institute of Technology, Stockholm, Sweden
| | - Mun-Gwan Hong
- Department of Protein Science, Science for Life Laboratory, KTH-Royal Institute of Technology, Stockholm, Sweden
| | | | - Fredrik Ponten
- Department of Pathology, Uppsala University, Uppsala, Sweden
| | - Borbala Katona
- Department of Pathology, Uppsala University, Uppsala, Sweden
| | - Jimmy Vuu
- Department of Pathology, Uppsala University, Uppsala, Sweden
| | - Emil Lindström
- Department of Pathology, Uppsala University, Uppsala, Sweden
| | - Jens Nielsen
- Department of Chemical and Biological Engineering, Chalmers University of Technology, Gothenburg, Sweden
| | - Jonathan Robinson
- Department of Chemical and Biological Engineering, Chalmers University of Technology, Gothenburg, Sweden
| | - Burcu Ayoglu
- Department of Protein Science, Science for Life Laboratory, KTH-Royal Institute of Technology, Stockholm, Sweden
| | - Diana Mahdessian
- Department of Protein Science, Science for Life Laboratory, KTH-Royal Institute of Technology, Stockholm, Sweden
| | - Devin Sullivan
- Department of Protein Science, Science for Life Laboratory, KTH-Royal Institute of Technology, Stockholm, Sweden
| | - Peter Thul
- Department of Protein Science, Science for Life Laboratory, KTH-Royal Institute of Technology, Stockholm, Sweden
| | - Frida Danielsson
- Department of Protein Science, Science for Life Laboratory, KTH-Royal Institute of Technology, Stockholm, Sweden
| | - Charlotte Stadler
- Department of Protein Science, Science for Life Laboratory, KTH-Royal Institute of Technology, Stockholm, Sweden
| | - Emma Lundberg
- Department of Protein Science, Science for Life Laboratory, KTH-Royal Institute of Technology, Stockholm, Sweden
| | - Göran Bergström
- Department of Molecular and Clinical Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.,Region Västra Götaland, Sahlgrenska University Hospital, Department of Clinical Physiology, Gothenburg, Sweden
| | - Anders Gummesson
- Department of Molecular and Clinical Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Bjørn G Voldborg
- Center for Biosustainability, Technical University of Denmark, Lyngby, Denmark
| | - Hanna Tegel
- Department of Protein Science, AlbaNova University Center, KTH-Royal Institute of Technology, Stockholm, Sweden
| | - Sophia Hober
- Department of Protein Science, AlbaNova University Center, KTH-Royal Institute of Technology, Stockholm, Sweden
| | - Björn Forsström
- Department of Protein Science, Science for Life Laboratory, KTH-Royal Institute of Technology, Stockholm, Sweden
| | - Jochen M Schwenk
- Department of Protein Science, Science for Life Laboratory, KTH-Royal Institute of Technology, Stockholm, Sweden
| | - Linn Fagerberg
- Department of Protein Science, Science for Life Laboratory, KTH-Royal Institute of Technology, Stockholm, Sweden
| | - Åsa Sivertsson
- Department of Protein Science, Science for Life Laboratory, KTH-Royal Institute of Technology, Stockholm, Sweden
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34
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Lundberg E, Mihajlovic NS, Sjöström M, Ahlqvist J. The use of panoramic images for identification of edentulous persons. J Forensic Odontostomatol 2019; 37:18-24. [PMID: 31589592 PMCID: PMC6981351] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
The aim of this study was to determine if edentulous persons could be identified using panoramic images by: I) investigating the possibility of matching two panoramic radiographs of the same person obtained on two different occasions, II) determining what anatomical features are used as the base for matching, III) investigating if oral and maxillofacial radiologists (OMR) and dentists who were not oral and maxillofacial radiologists (NOMR) differed in their ability to match the images, and IV) determining if the time elapsed between the images affected the results or the confidence of the match. Panoramic image pairs from 19 patients obtained on two different occasions were included, plus 10 images from other edentulous patients. The time elapsed between the image pairs varied between 4 months and 6 years. Four OMR and four NOMR were asked to match the image pairs depicting the same patient. The participants marked each match as "certain", "likely", or "possible" and what anatomical structure they used for matching. The OMR group correctly matched 100% of the images and the NOMR group correctly matched 96%. The anatomy of the mandible was most often used for matching. The OMR group was more certain in their decisions than the NOMR group. The time elapsed between the examinations did not affect the result. In conclusion, panoramic images can be used to identify edentulous patients. Both OMR and NOMR could identify edentulous individuals when only panoramic radiographic images were available and the OMR were especially confident in the identification process.
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Affiliation(s)
- E Lundberg
- Department of Odontology, Umeå University, Sweden
| | | | - M Sjöström
- Department of Odontology, Umeå University, Sweden
| | - J Ahlqvist
- Department of Odontology, Umeå University, Sweden
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35
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Anikeeva P, Boyden E, Brangwynne C, Cissé II, Fiehn O, Fromme P, Gingras AC, Greene CS, Heard E, Hell SW, Hillman E, Jensen GJ, Karchin R, Kiessling LL, Kleinstiver BP, Knight R, Kukura P, Lancaster MA, Loman N, Looger L, Lundberg E, Luo Q, Miyawaki A, Myers EW, Nolan GP, Picotti P, Reik W, Sauer M, Shalek AK, Shendure J, Slavov N, Tanay A, Troyanskaya O, van Valen D, Wang HW, Yi C, Yin P, Zernicka-Goetz M, Zhuang X. Voices in methods development. Nat Methods 2019; 16:945-951. [PMID: 31562479 DOI: 10.1038/s41592-019-0585-6] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Affiliation(s)
- Polina Anikeeva
- Departments of Materials Science & Engineering and Brain & Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA.,Research Laboratory of Electronics, Massachusetts Institute of Technology, Cambridge, MA, USA.,McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Edward Boyden
- McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA, USA.,Department of Neurotechnology, Massachusetts Institute of Technology, Cambridge, MA, USA.,MIT Media Lab, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Clifford Brangwynne
- Department of Chemical and Biological Engineering, Princeton University and Howard Hughes Medical Institute, Princeton, NJ, USA
| | - Ibrahim I Cissé
- Department of Physics, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Oliver Fiehn
- West Coast Metabolomics Center, University of California Davis, Davis, CA, USA
| | - Petra Fromme
- Biodesign Center for Applied Structural Discovery and School of Molecular Sciences, Arizona State University, Tempe, AZ, USA
| | - Anne-Claude Gingras
- Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, Ontario, Canada
| | - Casey S Greene
- Department of Systems Pharmacology and Translational Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.,Childhood Cancer Data Lab, Alex's Lemonade Stand Foundation, Philadelphia, PA, USA
| | - Edith Heard
- European Molecular Biology Laboratory, Heidelberg, Germany.,Collège de France, Paris, France
| | - Stefan W Hell
- Max Planck Institute for Biophysical Chemistry, Göttingen, Germany.,Max Planck Institute for Medical Research, Heidelberg, Germany
| | - Elizabeth Hillman
- Departments of Biomedical Engineering and Radiology, Columbia University, New York, NY, USA.,Mortimer B. Zuckerman Mind Brain Behavior Institute, Columbia University, New York, NY, USA
| | - Grant Jay Jensen
- Departments of Biology and Biophysics, California Institute of Technology and Howard Hughes Medical Institute, Pasadena, CA, USA
| | - Rachel Karchin
- Department of Biomedical Engineering, The Johns Hopkins University, Baltimore, Maryland, USA.,Department of Oncology, Johns Hopkins Medical Institutions, Baltimore, Maryland, USA.,The Institute for Computational Medicine, The Johns Hopkins University, Baltimore, Maryland, USA.,Department of Computer Science, The Johns Hopkins University, Baltimore, Maryland, USA
| | - Laura L Kiessling
- Department of Chemistry, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Benjamin P Kleinstiver
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA.,Department of Pathology, Massachusetts General Hospital, Boston, MA, USA.,Department of Pathology, Harvard Medical School, Boston, MA, USA
| | - Rob Knight
- Department of Pediatrics, University of California, San Diego, La Jolla, CA, USA.,Department of Bioengineering, University of California, San Diego, La Jolla, CA, USA.,Department of Computer Science & Engineering, University of California, San Diego, La Jolla, CA, USA.,Center for Microbiome Innovation, University of California, San Diego, La Jolla, CA, USA
| | - Philipp Kukura
- Physical and Theoretical Chemistry Laboratory, Department of Chemistry, University of Oxford, Oxford, UK
| | | | - Nicholas Loman
- Institute of Microbiology and Infection, University of Birmingham, Birmingham, UK
| | - Loren Looger
- Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA, USA
| | - Emma Lundberg
- Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH Royal Institute of Technology, Stockholm, Sweden.,Department of Genetics, Stanford University, Stanford, CA, USA.,Chan Zuckerberg Biohub, San Francisco, CA, USA
| | - Qingming Luo
- School of Biomedical Engineering, Hainan University, Haikou, China.,Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, China
| | - Atsushi Miyawaki
- Laboratory for Cell Function Dynamics, Brain Science Institute, RIKEN, Wako, Japan.,Biotechnological Optics Research Team, Center for Advanced Photonics, RIKEN, Wako, Japan
| | - Eugene W Myers
- Center for Systems Biology Dresden, Dresden, Germany.,Max Planck Institute of Molecular Cell Biology and Genetics, Dresden, Germany.,Department of Computer Science, Technical University Dresden, Dresden, Germany
| | - Garry P Nolan
- Department of Microbiology & Immunology, Stanford University School of Medicine, Stanford, CA, USA
| | - Paola Picotti
- Institute of Molecular Systems Biology, Department of Biology, ETH Zurich, Zurich, Switzerland
| | - Wolf Reik
- Babraham Institute, Babraham, UK.,Sanger Institute, Hinxton, UK.,University of Cambridge, Cambridge, UK
| | - Markus Sauer
- Department of Biotechnology and Biophysics, Biocenter, University of Würzburg, Würzburg, Germany
| | - Alex K Shalek
- Department of Chemistry, Massachusetts Institute of Technology, Cambridge, MA, USA.,Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA, USA.,Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA, USA.,Broad Institute of MIT and Harvard, Cambridge, MA, USA.,Ragon Institute of MGH, MIT and Harvard, Cambridge, MA, USA.,Division of Health Sciences and Technology, Department of Immunology, Harvard Medical School, Boston, MA, USA.,Department of Immunology, Massachusetts General Hospital, Boston, MA, USA
| | - Jay Shendure
- Genome Sciences, University of Washington, Seattle, WA, USA.,Brotman Baty Institute for Precision Medicine, Seattle, WA, USA
| | - Nikolai Slavov
- Department of Bioengineering, Northeastern University, Boston, MA, USA.,Barnett Institute, Northeastern University, Boston, MA, USA
| | - Amos Tanay
- Departments of Computer Science & Applied Mathematics and Biological Regulation, Weizmann Institute of Science, Rehovot, Israel
| | - Olga Troyanskaya
- Department of Computer Science, Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ, USA.,Department of Genomics, Flatiron Institute, Simons Foundation, New York City, NY, USA
| | - David van Valen
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, USA
| | - Hong-Wei Wang
- School of Life Sciences, Tsinghua University, Beijing, China
| | | | - Peng Yin
- Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA, USA.,Department of Systems Biology, Harvard Medical School, Boston, MA, USA
| | - Magdalena Zernicka-Goetz
- Division of Biology, California Institute of Technology, Pasadena, CA, USA.,Department of Physiology, Development and Neuroscience, University of Cambridge, Cambridge, UK
| | - Xiaowei Zhuang
- Departments of Chemistry & Chemical Biology and Physics, Harvard University and Howard Hughes Medical Institute, Cambridge, MA, USA
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36
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Mönnich M, Borgeskov L, Breslin L, Jakobsen L, Rogowski M, Doganli C, Schrøder JM, Mogensen JB, Blinkenkjær L, Harder LM, Lundberg E, Geimer S, Christensen ST, Andersen JS, Larsen LA, Pedersen LB. CEP128 Localizes to the Subdistal Appendages of the Mother Centriole and Regulates TGF-β/BMP Signaling at the Primary Cilium. Cell Rep 2019. [PMID: 29514088 DOI: 10.1016/j.celrep.2018.02.043] [Citation(s) in RCA: 49] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/17/2022] Open
Abstract
The centrosome is the main microtubule-organizing center in animal cells and comprises a mother and daughter centriole surrounded by pericentriolar material. During formation of primary cilia, the mother centriole transforms into a basal body that templates the ciliary axoneme. Ciliogenesis depends on mother centriole-specific distal appendages, whereas the role of subdistal appendages in ciliary function is unclear. Here, we identify CEP128 as a centriole subdistal appendage protein required for regulating ciliary signaling. Loss of CEP128 did not grossly affect centrosomal or ciliary structure but caused impaired transforming growth factor-β/bone morphogenetic protein (TGF-β/BMP) signaling in zebrafish and at the primary cilium in cultured mammalian cells. This phenotype is likely the result of defective vesicle trafficking at the cilium as ciliary localization of RAB11 was impaired upon loss of CEP128, and quantitative phosphoproteomics revealed that CEP128 loss affects TGF-β1-induced phosphorylation of multiple proteins that regulate cilium-associated vesicle trafficking.
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Affiliation(s)
- Maren Mönnich
- Department of Cellular and Molecular Medicine, University of Copenhagen, DK-2200 Copenhagen, Denmark
| | - Louise Borgeskov
- Department of Biology, University of Copenhagen, DK-2100 Copenhagen, Denmark
| | - Loretta Breslin
- Department of Biology, University of Copenhagen, DK-2100 Copenhagen, Denmark; Department of Biochemistry and Molecular Biology, University of Southern Denmark, Campusvej 55, DK-5230 Odense M, Denmark
| | - Lis Jakobsen
- Department of Biochemistry and Molecular Biology, University of Southern Denmark, Campusvej 55, DK-5230 Odense M, Denmark
| | - Michaela Rogowski
- Cell Biology/Electron Microscopy, University of Bayreuth, Universitaetsstrasse 30, 95440 Bayreuth, Germany
| | - Canan Doganli
- Department of Cellular and Molecular Medicine, University of Copenhagen, DK-2200 Copenhagen, Denmark
| | - Jacob M Schrøder
- Department of Biochemistry and Molecular Biology, University of Southern Denmark, Campusvej 55, DK-5230 Odense M, Denmark
| | - Johanne B Mogensen
- Department of Biology, University of Copenhagen, DK-2100 Copenhagen, Denmark
| | - Louise Blinkenkjær
- Department of Biology, University of Copenhagen, DK-2100 Copenhagen, Denmark
| | - Lea M Harder
- Department of Biochemistry and Molecular Biology, University of Southern Denmark, Campusvej 55, DK-5230 Odense M, Denmark
| | - Emma Lundberg
- Science for Life Laboratory, School of Biotechnology, KTH Royal Institute of Technology, SE-171 21 Stockholm, Sweden
| | - Stefan Geimer
- Cell Biology/Electron Microscopy, University of Bayreuth, Universitaetsstrasse 30, 95440 Bayreuth, Germany.
| | - Søren T Christensen
- Department of Biology, University of Copenhagen, DK-2100 Copenhagen, Denmark.
| | - Jens S Andersen
- Department of Biochemistry and Molecular Biology, University of Southern Denmark, Campusvej 55, DK-5230 Odense M, Denmark.
| | - Lars A Larsen
- Department of Cellular and Molecular Medicine, University of Copenhagen, DK-2200 Copenhagen, Denmark.
| | - Lotte B Pedersen
- Department of Biology, University of Copenhagen, DK-2100 Copenhagen, Denmark.
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37
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Guala D, Bernhem K, Blal HA, Jans D, Lundberg E, Brismar H, Sonnhammer ELL. Experimental validation of predicted cancer genes using FRET. Methods Appl Fluoresc 2018; 6:035007. [PMID: 29570091 DOI: 10.1088/2050-6120/aab932] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
Huge amounts of data are generated in genome wide experiments, designed to investigate diseases with complex genetic causes. Follow up of all potential leads produced by such experiments is currently cost prohibitive and time consuming. Gene prioritization tools alleviate these constraints by directing further experimental efforts towards the most promising candidate targets. Recently a gene prioritization tool called MaxLink was shown to outperform other widely used state-of-the-art prioritization tools in a large scale in silico benchmark. An experimental validation of predictions made by MaxLink has however been lacking. In this study we used Fluorescence Resonance Energy Transfer, an established experimental technique for detection of protein-protein interactions, to validate potential cancer genes predicted by MaxLink. Our results provide confidence in the use of MaxLink for selection of new targets in the battle with polygenic diseases.
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Affiliation(s)
- Dimitri Guala
- Science for Life Laboratory, Stockholm Bioinformatics Center, Department of Biochemistry and Biophysics, Stockholm University, Box 1031, 17121 Solna, Sweden
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38
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O'Hagan S, Wright Muelas M, Day PJ, Lundberg E, Kell DB. GeneGini: Assessment via the Gini Coefficient of Reference "Housekeeping" Genes and Diverse Human Transporter Expression Profiles. Cell Syst 2018; 6:230-244.e1. [PMID: 29428416 PMCID: PMC5840522 DOI: 10.1016/j.cels.2018.01.003] [Citation(s) in RCA: 39] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2017] [Revised: 09/26/2017] [Accepted: 12/30/2017] [Indexed: 01/13/2023]
Abstract
The expression levels of SLC or ABC membrane transporter transcripts typically differ 100- to 10,000-fold between different tissues. The Gini coefficient characterizes such inequalities and here is used to describe the distribution of the expression of each transporter among different human tissues and cell lines. Many transporters exhibit extremely high Gini coefficients even for common substrates, indicating considerable specialization consistent with divergent evolution. The expression profiles of SLC transporters in different cell lines behave similarly, although Gini coefficients for ABC transporters tend to be larger in cell lines than in tissues, implying selection. Transporter genes are significantly more heterogeneously expressed than the members of most non-transporter gene classes. Transcripts with the stablest expression have a low Gini index and often differ significantly from the "housekeeping" genes commonly used for normalization in transcriptomics/qPCR studies. PCBP1 has a low Gini coefficient, is reasonably expressed, and is an excellent novel reference gene. The approach, referred to as GeneGini, provides rapid and simple characterization of expression-profile distributions and improved normalization of genome-wide expression-profiling data.
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Affiliation(s)
- Steve O'Hagan
- School of Chemistry, 131, Princess Street, Manchester M1 7DN, UK; The Manchester Institute of Biotechnology, 131, Princess Street, Manchester M1 7DN, UK
| | - Marina Wright Muelas
- School of Chemistry, 131, Princess Street, Manchester M1 7DN, UK; The Manchester Institute of Biotechnology, 131, Princess Street, Manchester M1 7DN, UK
| | - Philip J Day
- The Manchester Institute of Biotechnology, 131, Princess Street, Manchester M1 7DN, UK; Faculty of Biology, Medicine and Health, The University of Manchester, Oxford Road, Manchester M13 9PL, UK
| | - Emma Lundberg
- Science for Life Laboratory, Royal Institute of Technology (KTH), SE-17121 Solna, Sweden.
| | - Douglas B Kell
- School of Chemistry, 131, Princess Street, Manchester M1 7DN, UK; The Manchester Institute of Biotechnology, 131, Princess Street, Manchester M1 7DN, UK.
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39
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Lundberg E, Bergenfeldt M, Ohlsson K. Release of immunoreactive human neutrophil proteinase 4, normally and in peritonitis. Scandinavian Journal of Clinical and Laboratory Investigation 2018. [DOI: 10.1080/00365513.1991.11978685] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/17/2022]
Affiliation(s)
- E. Lundberg
- University of Lund, Department of Surgical Pathophysiology, Malmö General Hospital, Malmö, Sweden
| | - M. Bergenfeldt
- University of Lund, Department of Surgical Pathophysiology, Malmö General Hospital, Malmö, Sweden
| | - K. Ohlsson
- University of Lund, Department of Surgical Pathophysiology, Malmö General Hospital, Malmö, Sweden
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40
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Uhlen M, Zhang C, Lee S, Sjöstedt E, Fagerberg L, Bidkhori G, Benfeitas R, Arif M, Liu Z, Edfors F, Sanli K, von Feilitzen K, Oksvold P, Lundberg E, Hober S, Nilsson P, Mattsson J, Schwenk JM, Brunnström H, Glimelius B, Sjöblom T, Edqvist PH, Djureinovic D, Micke P, Lindskog C, Mardinoglu A, Ponten F. A pathology atlas of the human cancer transcriptome. Science 2017; 357:357/6352/eaan2507. [PMID: 28818916 DOI: 10.1126/science.aan2507] [Citation(s) in RCA: 2015] [Impact Index Per Article: 287.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2017] [Revised: 06/02/2017] [Accepted: 07/14/2017] [Indexed: 12/11/2022]
Abstract
Cancer is one of the leading causes of death, and there is great interest in understanding the underlying molecular mechanisms involved in the pathogenesis and progression of individual tumors. We used systems-level approaches to analyze the genome-wide transcriptome of the protein-coding genes of 17 major cancer types with respect to clinical outcome. A general pattern emerged: Shorter patient survival was associated with up-regulation of genes involved in cell growth and with down-regulation of genes involved in cellular differentiation. Using genome-scale metabolic models, we show that cancer patients have widespread metabolic heterogeneity, highlighting the need for precise and personalized medicine for cancer treatment. All data are presented in an interactive open-access database (www.proteinatlas.org/pathology) to allow genome-wide exploration of the impact of individual proteins on clinical outcomes.
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Affiliation(s)
- Mathias Uhlen
- Science for Life Laboratory, KTH-Royal Institute of Technology, Stockholm, Sweden. .,Center for Biosustainability, Danish Technical University, Copenhagen, Denmark.,School of Biotechnology, AlbaNova University Center, KTH-Royal Institute of Technology, Stockholm, Sweden
| | - Cheng Zhang
- Science for Life Laboratory, KTH-Royal Institute of Technology, Stockholm, Sweden
| | - Sunjae Lee
- Science for Life Laboratory, KTH-Royal Institute of Technology, Stockholm, Sweden
| | - Evelina Sjöstedt
- Science for Life Laboratory, KTH-Royal Institute of Technology, Stockholm, Sweden.,Department of Immunology Genetics and Pathology, Uppsala University, Uppsala, Sweden
| | - Linn Fagerberg
- Science for Life Laboratory, KTH-Royal Institute of Technology, Stockholm, Sweden
| | - Gholamreza Bidkhori
- Science for Life Laboratory, KTH-Royal Institute of Technology, Stockholm, Sweden
| | - Rui Benfeitas
- Science for Life Laboratory, KTH-Royal Institute of Technology, Stockholm, Sweden
| | - Muhammad Arif
- Science for Life Laboratory, KTH-Royal Institute of Technology, Stockholm, Sweden
| | - Zhengtao Liu
- Science for Life Laboratory, KTH-Royal Institute of Technology, Stockholm, Sweden
| | - Fredrik Edfors
- Science for Life Laboratory, KTH-Royal Institute of Technology, Stockholm, Sweden
| | - Kemal Sanli
- Science for Life Laboratory, KTH-Royal Institute of Technology, Stockholm, Sweden
| | - Kalle von Feilitzen
- Science for Life Laboratory, KTH-Royal Institute of Technology, Stockholm, Sweden
| | - Per Oksvold
- Science for Life Laboratory, KTH-Royal Institute of Technology, Stockholm, Sweden
| | - Emma Lundberg
- Science for Life Laboratory, KTH-Royal Institute of Technology, Stockholm, Sweden
| | - Sophia Hober
- School of Biotechnology, AlbaNova University Center, KTH-Royal Institute of Technology, Stockholm, Sweden
| | - Peter Nilsson
- Science for Life Laboratory, KTH-Royal Institute of Technology, Stockholm, Sweden
| | - Johanna Mattsson
- Department of Immunology Genetics and Pathology, Uppsala University, Uppsala, Sweden
| | - Jochen M Schwenk
- Science for Life Laboratory, KTH-Royal Institute of Technology, Stockholm, Sweden
| | - Hans Brunnström
- Division of Pathology, Lund University, Skåne University Hospital, Lund, Sweden
| | - Bengt Glimelius
- Department of Immunology Genetics and Pathology, Uppsala University, Uppsala, Sweden
| | - Tobias Sjöblom
- Department of Immunology Genetics and Pathology, Uppsala University, Uppsala, Sweden
| | - Per-Henrik Edqvist
- Department of Immunology Genetics and Pathology, Uppsala University, Uppsala, Sweden
| | - Dijana Djureinovic
- Department of Immunology Genetics and Pathology, Uppsala University, Uppsala, Sweden
| | - Patrick Micke
- Department of Immunology Genetics and Pathology, Uppsala University, Uppsala, Sweden
| | - Cecilia Lindskog
- Department of Immunology Genetics and Pathology, Uppsala University, Uppsala, Sweden
| | - Adil Mardinoglu
- Science for Life Laboratory, KTH-Royal Institute of Technology, Stockholm, Sweden.,School of Biotechnology, AlbaNova University Center, KTH-Royal Institute of Technology, Stockholm, Sweden.,Department of Biology and Biological Engineering, Chalmers University of Technology, SE-412 96 Gothenburg, Sweden
| | - Fredrik Ponten
- Department of Immunology Genetics and Pathology, Uppsala University, Uppsala, Sweden
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41
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Boström J, Sramkova Z, Salašová A, Johard H, Mahdessian D, Fedr R, Marks C, Medalová J, Souček K, Lundberg E, Linnarsson S, Bryja V, Sekyrova P, Altun M, Andäng M. Comparative cell cycle transcriptomics reveals synchronization of developmental transcription factor networks in cancer cells. PLoS One 2017; 12:e0188772. [PMID: 29228002 PMCID: PMC5724894 DOI: 10.1371/journal.pone.0188772] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2017] [Accepted: 11/13/2017] [Indexed: 01/01/2023] Open
Abstract
The cell cycle coordinates core functions such as replication and cell division. However, cell-cycle-regulated transcription in the control of non-core functions, such as cell identity maintenance through specific transcription factors (TFs) and signalling pathways remains unclear. Here, we provide a resource consisting of mapped transcriptomes in unsynchronized HeLa and U2OS cancer cells sorted for cell cycle phase by Fucci reporter expression. We developed a novel algorithm for data analysis that enables efficient visualization and data comparisons and identified cell cycle synchronization of Notch signalling and TFs associated with development. Furthermore, the cell cycle synchronizes with the circadian clock, providing a possible link between developmental transcriptional networks and the cell cycle. In conclusion we find that cell cycle synchronized transcriptional patterns are temporally compartmentalized and more complex than previously anticipated, involving genes, which control cell identity and development.
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Affiliation(s)
- Johan Boström
- Science for Life Laboratory, Division of Translational Medicine and Chemical Biology, Department of Medical Biochemistry and Biophysics, Karolinska Institutet, Stockholm, Sweden
| | - Zuzana Sramkova
- Department of Physiology and Pharmacology, Karolinska Institutet, Stockholm, Sweden
- Central European Institute of Technology, Masaryk University, Brno, Czech Republic
| | - Alena Salašová
- Department of Medical Biochemistry and Biophysics, Karolinska Institutet, Stockholm, Sweden
| | - Helena Johard
- Department of Physiology and Pharmacology, Karolinska Institutet, Stockholm, Sweden
- Central European Institute of Technology, Masaryk University, Brno, Czech Republic
| | - Diana Mahdessian
- Science for Life Laboratory, KTH—Royal Institute of Technology, Stockholm, Sweden
| | - Radek Fedr
- Department of Cytokinetics, Institute of Biophysics CAS, v.v.i., Královopolská 135, Brno, Czech Republic
- International Clinical Research Center, Center for Biomolecular and Cellular Engineering, St. Anne’s University Hospital in Brno, Brno, Czech Republic
| | - Carolyn Marks
- Science for Life Laboratory, Division of Translational Medicine and Chemical Biology, Department of Medical Biochemistry and Biophysics, Karolinska Institutet, Stockholm, Sweden
| | - Jiřina Medalová
- Department of Experimental Biology, Faculty of Science, Masaryk University, Brno, Czech Republic
| | - Karel Souček
- Department of Cytokinetics, Institute of Biophysics CAS, v.v.i., Královopolská 135, Brno, Czech Republic
- International Clinical Research Center, Center for Biomolecular and Cellular Engineering, St. Anne’s University Hospital in Brno, Brno, Czech Republic
- Department of Experimental Biology, Faculty of Science, Masaryk University, Brno, Czech Republic
| | - Emma Lundberg
- Science for Life Laboratory, KTH—Royal Institute of Technology, Stockholm, Sweden
| | - Sten Linnarsson
- Department of Medical Biochemistry and Biophysics, Karolinska Institutet, Stockholm, Sweden
| | - Vítězslav Bryja
- Department of Experimental Biology, Faculty of Science, Masaryk University, Brno, Czech Republic
| | - Petra Sekyrova
- Department of Physiology and Pharmacology, Karolinska Institutet, Stockholm, Sweden
- Central European Institute of Technology, Masaryk University, Brno, Czech Republic
- * E-mail: (PS); (MAl); (MAn)
| | - Mikael Altun
- Science for Life Laboratory, Division of Translational Medicine and Chemical Biology, Department of Medical Biochemistry and Biophysics, Karolinska Institutet, Stockholm, Sweden
- * E-mail: (PS); (MAl); (MAn)
| | - Michael Andäng
- Department of Physiology and Pharmacology, Karolinska Institutet, Stockholm, Sweden
- Central European Institute of Technology, Masaryk University, Brno, Czech Republic
- * E-mail: (PS); (MAl); (MAn)
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42
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Regev A, Teichmann SA, Lander ES, Amit I, Benoist C, Birney E, Bodenmiller B, Campbell P, Carninci P, Clatworthy M, Clevers H, Deplancke B, Dunham I, Eberwine J, Eils R, Enard W, Farmer A, Fugger L, Göttgens B, Hacohen N, Haniffa M, Hemberg M, Kim S, Klenerman P, Kriegstein A, Lein E, Linnarsson S, Lundberg E, Lundeberg J, Majumder P, Marioni JC, Merad M, Mhlanga M, Nawijn M, Netea M, Nolan G, Pe'er D, Phillipakis A, Ponting CP, Quake S, Reik W, Rozenblatt-Rosen O, Sanes J, Satija R, Schumacher TN, Shalek A, Shapiro E, Sharma P, Shin JW, Stegle O, Stratton M, Stubbington MJT, Theis FJ, Uhlen M, van Oudenaarden A, Wagner A, Watt F, Weissman J, Wold B, Xavier R, Yosef N. The Human Cell Atlas. eLife 2017; 6:e27041. [PMID: 29206104 DOI: 10.1101/121202] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2017] [Accepted: 11/30/2017] [Indexed: 05/28/2023] Open
Abstract
The recent advent of methods for high-throughput single-cell molecular profiling has catalyzed a growing sense in the scientific community that the time is ripe to complete the 150-year-old effort to identify all cell types in the human body. The Human Cell Atlas Project is an international collaborative effort that aims to define all human cell types in terms of distinctive molecular profiles (such as gene expression profiles) and to connect this information with classical cellular descriptions (such as location and morphology). An open comprehensive reference map of the molecular state of cells in healthy human tissues would propel the systematic study of physiological states, developmental trajectories, regulatory circuitry and interactions of cells, and also provide a framework for understanding cellular dysregulation in human disease. Here we describe the idea, its potential utility, early proofs-of-concept, and some design considerations for the Human Cell Atlas, including a commitment to open data, code, and community.
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Affiliation(s)
- Aviv Regev
- Broad Institute of MIT and Harvard, Cambridge, United States
- Department of Biology, Massachusetts Institute of Technology, Cambridge, United States
- Howard Hughes Medical Institute, Chevy Chase, United States
| | - Sarah A Teichmann
- Wellcome Trust Sanger Institute, Wellcome Genome Campus, Hinxton, United Kingdom
- EMBL-European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, United Kingdom
- Cavendish Laboratory, Department of Physics, University of Cambridge, Cambridge, United Kingdom
| | - Eric S Lander
- Broad Institute of MIT and Harvard, Cambridge, United States
- Department of Biology, Massachusetts Institute of Technology, Cambridge, United States
- Department of Systems Biology, Harvard Medical School, Boston, United States
| | - Ido Amit
- Department of Immunology, Weizmann Institute of Science, Rehovot, Israel
| | - Christophe Benoist
- Division of Immunology, Department of Microbiology and Immunobiology, Harvard Medical School, Boston, United States
| | - Ewan Birney
- EMBL-European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, United Kingdom
| | - Bernd Bodenmiller
- EMBL-European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, United Kingdom
- Institute of Molecular Life Sciences, University of Zürich, Zürich, Switzerland
| | - Peter Campbell
- Wellcome Trust Sanger Institute, Wellcome Genome Campus, Hinxton, United Kingdom
- Department of Haematology, University of Cambridge, Cambridge, United Kingdom
| | - Piero Carninci
- Cavendish Laboratory, Department of Physics, University of Cambridge, Cambridge, United Kingdom
- Division of Genomic Technologies, RIKEN Center for Life Science Technologies, Yokohama, Japan
| | - Menna Clatworthy
- Molecular Immunity Unit, Department of Medicine, MRC Laboratory of Molecular Biology, University of Cambridge, Cambridge, United Kingdom
| | - Hans Clevers
- Hubrecht Institute, Princess Maxima Center for Pediatric Oncology and University Medical Center Utrecht, Utrecht, The Netherlands
| | - Bart Deplancke
- Institute of Bioengineering, School of Life Sciences, Swiss Federal Institute of Technology (EPFL), Lausanne, Switzerland
| | - Ian Dunham
- EMBL-European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, United Kingdom
| | - James Eberwine
- Department of Systems Pharmacology and Translational Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, United States
| | - Roland Eils
- Division of Theoretical Bioinformatics (B080), German Cancer Research Center (DKFZ), Heidelberg, Germany
- Department for Bioinformatics and Functional Genomics, Institute for Pharmacy and Molecular Biotechnology (IPMB) and BioQuant, Heidelberg University, Heidelberg, Germany
| | - Wolfgang Enard
- Department of Biology II, Ludwig Maximilian University Munich, Martinsried, Germany
| | - Andrew Farmer
- Takara Bio United States, Inc., Mountain View, United States
| | - Lars Fugger
- Oxford Centre for Neuroinflammation, Nuffield Department of Clinical Neurosciences, and MRC Human Immunology Unit, Weatherall Institute of Molecular Medicine, John Radcliffe Hospital, University of Oxford, Oxford, United Kingdom
| | - Berthold Göttgens
- Department of Haematology, University of Cambridge, Cambridge, United Kingdom
- Wellcome Trust-MRC Cambridge Stem Cell Institute, University of Cambridge, Cambridge, United Kingdom
| | - Nir Hacohen
- Broad Institute of MIT and Harvard, Cambridge, United States
- Massachusetts General Hospital Cancer Center, Boston, United States
| | - Muzlifah Haniffa
- Institute of Cellular Medicine, Newcastle University, Newcastle upon Tyne, United Kingdom
| | - Martin Hemberg
- Wellcome Trust Sanger Institute, Wellcome Genome Campus, Hinxton, United Kingdom
| | - Seung Kim
- Departments of Developmental Biology and of Medicine, Stanford University School of Medicine, Stanford, United States
| | - Paul Klenerman
- Peter Medawar Building for Pathogen Research and the Translational Gastroenterology Unit, Nuffield Department of Clinical Medicine, University of Oxford, Oxford, United Kingdom
- Oxford NIHR Biomedical Research Centre, John Radcliffe Hospital, Oxford, United Kingdom
| | - Arnold Kriegstein
- Eli and Edythe Broad Center of Regeneration Medicine and Stem Cell Research, University of California, San Francisco, San Francisco, United States
| | - Ed Lein
- Allen Institute for Brain Science, Seattle, United States
| | - Sten Linnarsson
- Laboratory for Molecular Neurobiology, Department of Medical Biochemistry and Biophysics, Karolinska Institutet, Stockholm, Sweden
| | - Emma Lundberg
- Science for Life Laboratory, School of Biotechnology, KTH Royal Institute of Technology, Stockholm, Sweden
- Department of Genetics, Stanford University, Stanford, United States
| | - Joakim Lundeberg
- Science for Life Laboratory, Department of Gene Technology, KTH Royal Institute of Technology, Stockholm, Sweden
| | | | - John C Marioni
- Wellcome Trust Sanger Institute, Wellcome Genome Campus, Hinxton, United Kingdom
- EMBL-European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, United Kingdom
- Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, United Kingdom
| | - Miriam Merad
- Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, United States
| | - Musa Mhlanga
- Division of Chemical, Systems & Synthetic Biology, Institute for Infectious Disease & Molecular Medicine (IDM), Department of Integrative Biomedical Sciences, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa
| | - Martijn Nawijn
- Department of Pathology and Medical Biology, GRIAC Research Institute, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Mihai Netea
- Department of Internal Medicine and Radboud Center for Infectious Diseases, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Garry Nolan
- Department of Microbiology and Immunology, Stanford University, Stanford, United States
| | - Dana Pe'er
- Computational and Systems Biology Program, Sloan Kettering Institute, New York, United States
| | | | - Chris P Ponting
- MRC Human Genetics Unit, MRC Institute of Genetics & Molecular Medicine, University of Edinburgh, Edinburgh, United Kingdom
| | - Stephen Quake
- Department of Applied Physics and Department of Bioengineering, Stanford University, Stanford, United States
- Chan Zuckerberg Biohub, San Francisco, United States
| | - Wolf Reik
- Wellcome Trust Sanger Institute, Wellcome Genome Campus, Hinxton, United Kingdom
- Epigenetics Programme, The Babraham Institute, Cambridge, United Kingdom
- Centre for Trophoblast Research, University of Cambridge, Cambridge, United Kingdom
| | | | - Joshua Sanes
- Center for Brain Science and Department of Molecular and Cellular Biology, Harvard University, Cambridge, United States
| | - Rahul Satija
- Department of Biology, New York University, New York, United States
- New York Genome Center, New York University, New York, United States
| | - Ton N Schumacher
- Division of Immunology, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Alex Shalek
- Broad Institute of MIT and Harvard, Cambridge, United States
- Institute for Medical Engineering & Science (IMES) and Department of Chemistry, Massachusetts Institute of Technology, Cambridge, United States
- Ragon Institute of MGH, MIT and Harvard, Cambridge, United States
| | - Ehud Shapiro
- Department of Computer Science and Department of Biomolecular Sciences, Weizmann Institute of Science, Rehovot, Israel
| | - Padmanee Sharma
- Department of Genitourinary Medical Oncology, Department of Immunology, MD Anderson Cancer Center, University of Texas, Houston, United States
| | - Jay W Shin
- Division of Genomic Technologies, RIKEN Center for Life Science Technologies, Yokohama, Japan
| | - Oliver Stegle
- EMBL-European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, United Kingdom
| | - Michael Stratton
- Wellcome Trust Sanger Institute, Wellcome Genome Campus, Hinxton, United Kingdom
| | | | - Fabian J Theis
- Institute of Computational Biology, German Research Center for Environmental Health, Helmholtz Center Munich, Neuherberg, Germany
- Department of Mathematics, Technical University of Munich, Garching, Germany
| | - Matthias Uhlen
- Science for Life Laboratory and Department of Proteomics, KTH Royal Institute of Technology, Stockholm, Sweden
- Novo Nordisk Foundation Center for Biosustainability, Danish Technical University, Lyngby, Denmark
| | | | - Allon Wagner
- Department of Electrical Engineering and Computer Science and the Center for Computational Biology, University of California, Berkeley, Berkeley, United States
| | - Fiona Watt
- Centre for Stem Cells and Regenerative Medicine, King's College London, London, United Kingdom
| | - Jonathan Weissman
- Howard Hughes Medical Institute, Chevy Chase, United States
- Department of Cellular & Molecular Pharmacology, University of California, San Francisco, San Francisco, United States
- California Institute for Quantitative Biomedical Research, University of California, San Francisco, San Francisco, United States
- Center for RNA Systems Biology, University of California, San Francisco, San Francisco, United States
| | - Barbara Wold
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, United States
| | - Ramnik Xavier
- Broad Institute of MIT and Harvard, Cambridge, United States
- Center for Computational and Integrative Biology, Massachusetts General Hospital, Boston, United States
- Gastrointestinal Unit and Center for the Study of Inflammatory Bowel Disease, Massachusetts General Hospital, Boston, United States
- Center for Microbiome Informatics and Therapeutics, Massachusetts Institute of Technology, Cambridge, United States
| | - Nir Yosef
- Ragon Institute of MGH, MIT and Harvard, Cambridge, United States
- Department of Electrical Engineering and Computer Science and the Center for Computational Biology, University of California, Berkeley, Berkeley, United States
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43
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Regev A, Teichmann SA, Lander ES, Amit I, Benoist C, Birney E, Bodenmiller B, Campbell P, Carninci P, Clatworthy M, Clevers H, Deplancke B, Dunham I, Eberwine J, Eils R, Enard W, Farmer A, Fugger L, Göttgens B, Hacohen N, Haniffa M, Hemberg M, Kim S, Klenerman P, Kriegstein A, Lein E, Linnarsson S, Lundberg E, Lundeberg J, Majumder P, Marioni JC, Merad M, Mhlanga M, Nawijn M, Netea M, Nolan G, Pe'er D, Phillipakis A, Ponting CP, Quake S, Reik W, Rozenblatt-Rosen O, Sanes J, Satija R, Schumacher TN, Shalek A, Shapiro E, Sharma P, Shin JW, Stegle O, Stratton M, Stubbington MJT, Theis FJ, Uhlen M, van Oudenaarden A, Wagner A, Watt F, Weissman J, Wold B, Xavier R, Yosef N. The Human Cell Atlas. eLife 2017; 6:e27041. [PMID: 29206104 PMCID: PMC5762154 DOI: 10.7554/elife.27041] [Citation(s) in RCA: 1146] [Impact Index Per Article: 163.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2017] [Accepted: 11/30/2017] [Indexed: 12/12/2022] Open
Abstract
The recent advent of methods for high-throughput single-cell molecular profiling has catalyzed a growing sense in the scientific community that the time is ripe to complete the 150-year-old effort to identify all cell types in the human body. The Human Cell Atlas Project is an international collaborative effort that aims to define all human cell types in terms of distinctive molecular profiles (such as gene expression profiles) and to connect this information with classical cellular descriptions (such as location and morphology). An open comprehensive reference map of the molecular state of cells in healthy human tissues would propel the systematic study of physiological states, developmental trajectories, regulatory circuitry and interactions of cells, and also provide a framework for understanding cellular dysregulation in human disease. Here we describe the idea, its potential utility, early proofs-of-concept, and some design considerations for the Human Cell Atlas, including a commitment to open data, code, and community.
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Affiliation(s)
- Aviv Regev
- Broad Institute of MIT and HarvardCambridgeUnited States
- Department of BiologyMassachusetts Institute of TechnologyCambridgeUnited States
- Howard Hughes Medical InstituteChevy ChaseUnited States
| | - Sarah A Teichmann
- Wellcome Trust Sanger Institute, Wellcome Genome CampusHinxtonUnited Kingdom
- EMBL-European Bioinformatics InstituteWellcome Genome CampusHinxtonUnited Kingdom
- Cavendish Laboratory, Department of PhysicsUniversity of CambridgeCambridgeUnited Kingdom
| | - Eric S Lander
- Broad Institute of MIT and HarvardCambridgeUnited States
- Department of BiologyMassachusetts Institute of TechnologyCambridgeUnited States
- Department of Systems BiologyHarvard Medical SchoolBostonUnited States
| | - Ido Amit
- Department of ImmunologyWeizmann Institute of ScienceRehovotIsrael
| | - Christophe Benoist
- Division of Immunology, Department of Microbiology and ImmunobiologyHarvard Medical SchoolBostonUnited States
| | - Ewan Birney
- EMBL-European Bioinformatics InstituteWellcome Genome CampusHinxtonUnited Kingdom
| | - Bernd Bodenmiller
- EMBL-European Bioinformatics InstituteWellcome Genome CampusHinxtonUnited Kingdom
- Institute of Molecular Life SciencesUniversity of ZürichZürichSwitzerland
| | - Peter Campbell
- Wellcome Trust Sanger Institute, Wellcome Genome CampusHinxtonUnited Kingdom
- Department of HaematologyUniversity of CambridgeCambridgeUnited Kingdom
| | - Piero Carninci
- Cavendish Laboratory, Department of PhysicsUniversity of CambridgeCambridgeUnited Kingdom
- Division of Genomic TechnologiesRIKEN Center for Life Science TechnologiesYokohamaJapan
| | - Menna Clatworthy
- Molecular Immunity Unit, Department of Medicine, MRC Laboratory of Molecular BiologyUniversity of CambridgeCambridgeUnited Kingdom
| | - Hans Clevers
- Hubrecht Institute, Princess Maxima Center for Pediatric Oncology and University Medical Center UtrechtUtrechtThe Netherlands
| | - Bart Deplancke
- Institute of Bioengineering, School of Life SciencesSwiss Federal Institute of Technology (EPFL)LausanneSwitzerland
| | - Ian Dunham
- EMBL-European Bioinformatics InstituteWellcome Genome CampusHinxtonUnited Kingdom
| | - James Eberwine
- Department of Systems Pharmacology and Translational TherapeuticsPerelman School of Medicine, University of PennsylvaniaPhiladelphiaUnited States
| | - Roland Eils
- Division of Theoretical Bioinformatics (B080)German Cancer Research Center (DKFZ)HeidelbergGermany
- Department for Bioinformatics and Functional Genomics, Institute for Pharmacy and Molecular Biotechnology (IPMB) and BioQuantHeidelberg UniversityHeidelbergGermany
| | - Wolfgang Enard
- Department of Biology IILudwig Maximilian University MunichMartinsriedGermany
| | - Andrew Farmer
- Takara Bio United States, Inc.Mountain ViewUnited States
| | - Lars Fugger
- Oxford Centre for Neuroinflammation, Nuffield Department of Clinical Neurosciences, and MRC Human Immunology Unit, Weatherall Institute of Molecular MedicineJohn Radcliffe Hospital, University of OxfordOxfordUnited Kingdom
| | - Berthold Göttgens
- Department of HaematologyUniversity of CambridgeCambridgeUnited Kingdom
- Wellcome Trust-MRC Cambridge Stem Cell InstituteUniversity of CambridgeCambridgeUnited Kingdom
| | - Nir Hacohen
- Broad Institute of MIT and HarvardCambridgeUnited States
- Massachusetts General Hospital Cancer CenterBostonUnited States
| | - Muzlifah Haniffa
- Institute of Cellular MedicineNewcastle UniversityNewcastle upon TyneUnited Kingdom
| | - Martin Hemberg
- Wellcome Trust Sanger Institute, Wellcome Genome CampusHinxtonUnited Kingdom
| | - Seung Kim
- Departments of Developmental Biology and of MedicineStanford University School of MedicineStanfordUnited States
| | - Paul Klenerman
- Peter Medawar Building for Pathogen Research and the Translational Gastroenterology Unit, Nuffield Department of Clinical MedicineUniversity of OxfordOxfordUnited Kingdom
- Oxford NIHR Biomedical Research CentreJohn Radcliffe HospitalOxfordUnited Kingdom
| | - Arnold Kriegstein
- Eli and Edythe Broad Center of Regeneration Medicine and Stem Cell ResearchUniversity of California, San FranciscoSan FranciscoUnited States
| | - Ed Lein
- Allen Institute for Brain ScienceSeattleUnited States
| | - Sten Linnarsson
- Laboratory for Molecular Neurobiology, Department of Medical Biochemistry and BiophysicsKarolinska InstitutetStockholmSweden
| | - Emma Lundberg
- Science for Life Laboratory, School of BiotechnologyKTH Royal Institute of TechnologyStockholmSweden
- Department of GeneticsStanford UniversityStanfordUnited States
| | - Joakim Lundeberg
- Science for Life Laboratory, Department of Gene TechnologyKTH Royal Institute of TechnologyStockholmSweden
| | | | - John C Marioni
- Wellcome Trust Sanger Institute, Wellcome Genome CampusHinxtonUnited Kingdom
- EMBL-European Bioinformatics InstituteWellcome Genome CampusHinxtonUnited Kingdom
- Cancer Research UK Cambridge InstituteUniversity of CambridgeCambridgeUnited Kingdom
| | - Miriam Merad
- Precision Immunology InstituteIcahn School of Medicine at Mount SinaiNew YorkUnited States
| | - Musa Mhlanga
- Division of Chemical, Systems & Synthetic Biology, Institute for Infectious Disease & Molecular Medicine (IDM), Department of Integrative Biomedical Sciences, Faculty of Health SciencesUniversity of Cape TownCape TownSouth Africa
| | - Martijn Nawijn
- Department of Pathology and Medical Biology, GRIAC Research InstituteUniversity of Groningen, University Medical Center GroningenGroningenThe Netherlands
| | - Mihai Netea
- Department of Internal Medicine and Radboud Center for Infectious DiseasesRadboud University Medical CenterNijmegenThe Netherlands
| | - Garry Nolan
- Department of Microbiology and ImmunologyStanford UniversityStanfordUnited States
| | - Dana Pe'er
- Computational and Systems Biology ProgramSloan Kettering InstituteNew YorkUnited States
| | | | - Chris P Ponting
- MRC Human Genetics Unit, MRC Institute of Genetics & Molecular MedicineUniversity of EdinburghEdinburghUnited Kingdom
| | - Stephen Quake
- Department of Applied Physics and Department of BioengineeringStanford UniversityStanfordUnited States
- Chan Zuckerberg BiohubSan FranciscoUnited States
| | - Wolf Reik
- Wellcome Trust Sanger Institute, Wellcome Genome CampusHinxtonUnited Kingdom
- Epigenetics ProgrammeThe Babraham InstituteCambridgeUnited Kingdom
- Centre for Trophoblast ResearchUniversity of CambridgeCambridgeUnited Kingdom
| | | | - Joshua Sanes
- Center for Brain Science and Department of Molecular and Cellular BiologyHarvard UniversityCambridgeUnited States
| | - Rahul Satija
- Department of BiologyNew York UniversityNew YorkUnited States
- New York Genome CenterNew York UniversityNew YorkUnited States
| | - Ton N Schumacher
- Division of ImmunologyThe Netherlands Cancer InstituteAmsterdamThe Netherlands
| | - Alex Shalek
- Broad Institute of MIT and HarvardCambridgeUnited States
- Institute for Medical Engineering & Science (IMES) and Department of ChemistryMassachusetts Institute of TechnologyCambridgeUnited States
- Ragon Institute of MGH, MIT and HarvardCambridgeUnited States
| | - Ehud Shapiro
- Department of Computer Science and Department of Biomolecular SciencesWeizmann Institute of ScienceRehovotIsrael
| | - Padmanee Sharma
- Department of Genitourinary Medical Oncology, Department of Immunology, MD Anderson Cancer CenterUniversity of TexasHoustonUnited States
| | - Jay W Shin
- Division of Genomic TechnologiesRIKEN Center for Life Science TechnologiesYokohamaJapan
| | - Oliver Stegle
- EMBL-European Bioinformatics InstituteWellcome Genome CampusHinxtonUnited Kingdom
| | - Michael Stratton
- Wellcome Trust Sanger Institute, Wellcome Genome CampusHinxtonUnited Kingdom
| | | | - Fabian J Theis
- Institute of Computational BiologyGerman Research Center for Environmental Health, Helmholtz Center MunichNeuherbergGermany
- Department of MathematicsTechnical University of MunichGarchingGermany
| | - Matthias Uhlen
- Science for Life Laboratory and Department of ProteomicsKTH Royal Institute of TechnologyStockholmSweden
- Novo Nordisk Foundation Center for BiosustainabilityDanish Technical UniversityLyngbyDenmark
| | | | - Allon Wagner
- Department of Electrical Engineering and Computer Science and the Center for Computational BiologyUniversity of California, BerkeleyBerkeleyUnited States
| | - Fiona Watt
- Centre for Stem Cells and Regenerative MedicineKing's College LondonLondonUnited Kingdom
| | - Jonathan Weissman
- Howard Hughes Medical InstituteChevy ChaseUnited States
- Department of Cellular & Molecular PharmacologyUniversity of California, San FranciscoSan FranciscoUnited States
- California Institute for Quantitative Biomedical ResearchUniversity of California, San FranciscoSan FranciscoUnited States
- Center for RNA Systems BiologyUniversity of California, San FranciscoSan FranciscoUnited States
| | - Barbara Wold
- Division of Biology and Biological EngineeringCalifornia Institute of TechnologyPasadenaUnited States
| | - Ramnik Xavier
- Broad Institute of MIT and HarvardCambridgeUnited States
- Center for Computational and Integrative BiologyMassachusetts General HospitalBostonUnited States
- Gastrointestinal Unit and Center for the Study of Inflammatory Bowel DiseaseMassachusetts General HospitalBostonUnited States
- Center for Microbiome Informatics and TherapeuticsMassachusetts Institute of TechnologyCambridgeUnited States
| | - Nir Yosef
- Ragon Institute of MGH, MIT and HarvardCambridgeUnited States
- Department of Electrical Engineering and Computer Science and the Center for Computational BiologyUniversity of California, BerkeleyBerkeleyUnited States
| | - Human Cell Atlas Meeting Participants
- Broad Institute of MIT and HarvardCambridgeUnited States
- Department of BiologyMassachusetts Institute of TechnologyCambridgeUnited States
- Howard Hughes Medical InstituteChevy ChaseUnited States
- Wellcome Trust Sanger Institute, Wellcome Genome CampusHinxtonUnited Kingdom
- EMBL-European Bioinformatics InstituteWellcome Genome CampusHinxtonUnited Kingdom
- Cavendish Laboratory, Department of PhysicsUniversity of CambridgeCambridgeUnited Kingdom
- Department of Systems BiologyHarvard Medical SchoolBostonUnited States
- Department of ImmunologyWeizmann Institute of ScienceRehovotIsrael
- Division of Immunology, Department of Microbiology and ImmunobiologyHarvard Medical SchoolBostonUnited States
- Institute of Molecular Life SciencesUniversity of ZürichZürichSwitzerland
- Department of HaematologyUniversity of CambridgeCambridgeUnited Kingdom
- Division of Genomic TechnologiesRIKEN Center for Life Science TechnologiesYokohamaJapan
- Molecular Immunity Unit, Department of Medicine, MRC Laboratory of Molecular BiologyUniversity of CambridgeCambridgeUnited Kingdom
- Hubrecht Institute, Princess Maxima Center for Pediatric Oncology and University Medical Center UtrechtUtrechtThe Netherlands
- Institute of Bioengineering, School of Life SciencesSwiss Federal Institute of Technology (EPFL)LausanneSwitzerland
- Department of Systems Pharmacology and Translational TherapeuticsPerelman School of Medicine, University of PennsylvaniaPhiladelphiaUnited States
- Division of Theoretical Bioinformatics (B080)German Cancer Research Center (DKFZ)HeidelbergGermany
- Department for Bioinformatics and Functional Genomics, Institute for Pharmacy and Molecular Biotechnology (IPMB) and BioQuantHeidelberg UniversityHeidelbergGermany
- Department of Biology IILudwig Maximilian University MunichMartinsriedGermany
- Takara Bio United States, Inc.Mountain ViewUnited States
- Oxford Centre for Neuroinflammation, Nuffield Department of Clinical Neurosciences, and MRC Human Immunology Unit, Weatherall Institute of Molecular MedicineJohn Radcliffe Hospital, University of OxfordOxfordUnited Kingdom
- Wellcome Trust-MRC Cambridge Stem Cell InstituteUniversity of CambridgeCambridgeUnited Kingdom
- Massachusetts General Hospital Cancer CenterBostonUnited States
- Institute of Cellular MedicineNewcastle UniversityNewcastle upon TyneUnited Kingdom
- Departments of Developmental Biology and of MedicineStanford University School of MedicineStanfordUnited States
- Peter Medawar Building for Pathogen Research and the Translational Gastroenterology Unit, Nuffield Department of Clinical MedicineUniversity of OxfordOxfordUnited Kingdom
- Oxford NIHR Biomedical Research CentreJohn Radcliffe HospitalOxfordUnited Kingdom
- Eli and Edythe Broad Center of Regeneration Medicine and Stem Cell ResearchUniversity of California, San FranciscoSan FranciscoUnited States
- Allen Institute for Brain ScienceSeattleUnited States
- Laboratory for Molecular Neurobiology, Department of Medical Biochemistry and BiophysicsKarolinska InstitutetStockholmSweden
- Science for Life Laboratory, School of BiotechnologyKTH Royal Institute of TechnologyStockholmSweden
- Department of GeneticsStanford UniversityStanfordUnited States
- Science for Life Laboratory, Department of Gene TechnologyKTH Royal Institute of TechnologyStockholmSweden
- National Institute of Biomedical GenomicsKalyaniIndia
- Cancer Research UK Cambridge InstituteUniversity of CambridgeCambridgeUnited Kingdom
- Precision Immunology InstituteIcahn School of Medicine at Mount SinaiNew YorkUnited States
- Division of Chemical, Systems & Synthetic Biology, Institute for Infectious Disease & Molecular Medicine (IDM), Department of Integrative Biomedical Sciences, Faculty of Health SciencesUniversity of Cape TownCape TownSouth Africa
- Department of Pathology and Medical Biology, GRIAC Research InstituteUniversity of Groningen, University Medical Center GroningenGroningenThe Netherlands
- Department of Internal Medicine and Radboud Center for Infectious DiseasesRadboud University Medical CenterNijmegenThe Netherlands
- Department of Microbiology and ImmunologyStanford UniversityStanfordUnited States
- Computational and Systems Biology ProgramSloan Kettering InstituteNew YorkUnited States
- MRC Human Genetics Unit, MRC Institute of Genetics & Molecular MedicineUniversity of EdinburghEdinburghUnited Kingdom
- Department of Applied Physics and Department of BioengineeringStanford UniversityStanfordUnited States
- Chan Zuckerberg BiohubSan FranciscoUnited States
- Epigenetics ProgrammeThe Babraham InstituteCambridgeUnited Kingdom
- Centre for Trophoblast ResearchUniversity of CambridgeCambridgeUnited Kingdom
- Center for Brain Science and Department of Molecular and Cellular BiologyHarvard UniversityCambridgeUnited States
- Department of BiologyNew York UniversityNew YorkUnited States
- New York Genome CenterNew York UniversityNew YorkUnited States
- Division of ImmunologyThe Netherlands Cancer InstituteAmsterdamThe Netherlands
- Institute for Medical Engineering & Science (IMES) and Department of ChemistryMassachusetts Institute of TechnologyCambridgeUnited States
- Ragon Institute of MGH, MIT and HarvardCambridgeUnited States
- Department of Computer Science and Department of Biomolecular SciencesWeizmann Institute of ScienceRehovotIsrael
- Department of Genitourinary Medical Oncology, Department of Immunology, MD Anderson Cancer CenterUniversity of TexasHoustonUnited States
- Institute of Computational BiologyGerman Research Center for Environmental Health, Helmholtz Center MunichNeuherbergGermany
- Department of MathematicsTechnical University of MunichGarchingGermany
- Science for Life Laboratory and Department of ProteomicsKTH Royal Institute of TechnologyStockholmSweden
- Novo Nordisk Foundation Center for BiosustainabilityDanish Technical UniversityLyngbyDenmark
- Hubrecht Institute and University Medical Center UtrechtUtrechtThe Netherlands
- Department of Electrical Engineering and Computer Science and the Center for Computational BiologyUniversity of California, BerkeleyBerkeleyUnited States
- Centre for Stem Cells and Regenerative MedicineKing's College LondonLondonUnited Kingdom
- Department of Cellular & Molecular PharmacologyUniversity of California, San FranciscoSan FranciscoUnited States
- California Institute for Quantitative Biomedical ResearchUniversity of California, San FranciscoSan FranciscoUnited States
- Center for RNA Systems BiologyUniversity of California, San FranciscoSan FranciscoUnited States
- Division of Biology and Biological EngineeringCalifornia Institute of TechnologyPasadenaUnited States
- Center for Computational and Integrative BiologyMassachusetts General HospitalBostonUnited States
- Gastrointestinal Unit and Center for the Study of Inflammatory Bowel DiseaseMassachusetts General HospitalBostonUnited States
- Center for Microbiome Informatics and TherapeuticsMassachusetts Institute of TechnologyCambridgeUnited States
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44
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Carreras-Puigvert J, Zitnik M, Jemth AS, Carter M, Unterlass JE, Hallström B, Loseva O, Karem Z, Calderón-Montaño JM, Lindskog C, Edqvist PH, Matuszewski DJ, Ait Blal H, Berntsson RPA, Häggblad M, Martens U, Studham M, Lundgren B, Wählby C, Sonnhammer ELL, Lundberg E, Stenmark P, Zupan B, Helleday T. A comprehensive structural, biochemical and biological profiling of the human NUDIX hydrolase family. Nat Commun 2017; 8:1541. [PMID: 29142246 PMCID: PMC5688067 DOI: 10.1038/s41467-017-01642-w] [Citation(s) in RCA: 86] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2016] [Accepted: 10/06/2017] [Indexed: 01/04/2023] Open
Abstract
The NUDIX enzymes are involved in cellular metabolism and homeostasis, as well as mRNA processing. Although highly conserved throughout all organisms, their biological roles and biochemical redundancies remain largely unclear. To address this, we globally resolve their individual properties and inter-relationships. We purify 18 of the human NUDIX proteins and screen 52 substrates, providing a substrate redundancy map. Using crystal structures, we generate sequence alignment analyses revealing four major structural classes. To a certain extent, their substrate preference redundancies correlate with structural classes, thus linking structure and activity relationships. To elucidate interdependence among the NUDIX hydrolases, we pairwise deplete them generating an epistatic interaction map, evaluate cell cycle perturbations upon knockdown in normal and cancer cells, and analyse their protein and mRNA expression in normal and cancer tissues. Using a novel FUSION algorithm, we integrate all data creating a comprehensive NUDIX enzyme profile map, which will prove fundamental to understanding their biological functionality.
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Affiliation(s)
- Jordi Carreras-Puigvert
- Division of Translational Medicine and Chemical Biology, Science for Life Laboratory, Department of Molecular Biochemistry and Biophysics, Karolinska Institutet, Stockholm, 171 65, Sweden.
| | - Marinka Zitnik
- Faculty of Computer and Information Science, University of Ljubljana, SI-1000, Ljubljana, Slovenia
- Department of Computer Science, Stanford University, Palo Alto, CA, 94305, USA
| | - Ann-Sofie Jemth
- Division of Translational Medicine and Chemical Biology, Science for Life Laboratory, Department of Molecular Biochemistry and Biophysics, Karolinska Institutet, Stockholm, 171 65, Sweden
| | - Megan Carter
- Department of Biochemistry and Biophysics, Stockholm University, 106 91, Stockholm, Sweden
| | - Judith E Unterlass
- Division of Translational Medicine and Chemical Biology, Science for Life Laboratory, Department of Molecular Biochemistry and Biophysics, Karolinska Institutet, Stockholm, 171 65, Sweden
| | - Björn Hallström
- Cell Profiling-Affinity Proteomics, Science for Life Laboratory, KTH-Royal Institute of Technology, Stockholm, 17165, Sweden
| | - Olga Loseva
- Division of Translational Medicine and Chemical Biology, Science for Life Laboratory, Department of Molecular Biochemistry and Biophysics, Karolinska Institutet, Stockholm, 171 65, Sweden
| | - Zhir Karem
- Division of Translational Medicine and Chemical Biology, Science for Life Laboratory, Department of Molecular Biochemistry and Biophysics, Karolinska Institutet, Stockholm, 171 65, Sweden
| | - José Manuel Calderón-Montaño
- Division of Translational Medicine and Chemical Biology, Science for Life Laboratory, Department of Molecular Biochemistry and Biophysics, Karolinska Institutet, Stockholm, 171 65, Sweden
| | - Cecilia Lindskog
- Department of Immunology, Genetics and Pathology, Science for Life Laboratory, 751 85, Uppsala, Sweden
| | - Per-Henrik Edqvist
- Department of Immunology, Genetics and Pathology, Science for Life Laboratory, 751 85, Uppsala, Sweden
| | - Damian J Matuszewski
- Centre for Image Analysis and Science for Life Laboratory, Uppsala University, Uppsala, 751 05, Sweden
| | - Hammou Ait Blal
- Cell Profiling-Affinity Proteomics, Science for Life Laboratory, KTH-Royal Institute of Technology, Stockholm, 17165, Sweden
| | - Ronnie P A Berntsson
- Department of Biochemistry and Biophysics, Stockholm University, 106 91, Stockholm, Sweden
| | - Maria Häggblad
- Biochemical and Cellular Screening Facility, Science for Life Laboratory, Department of Biochemistry and Biophysics, Stockholm University, Stockholm, 171 65, Sweden
| | - Ulf Martens
- Biochemical and Cellular Screening Facility, Science for Life Laboratory, Department of Biochemistry and Biophysics, Stockholm University, Stockholm, 171 65, Sweden
| | - Matthew Studham
- Stockholm Bioinformatics Center, Science for Life Laboratory, Department of Biochemistry and Biophysics, Stockholm University, Box 1031, 171 21, Solna, Sweden
| | - Bo Lundgren
- Biochemical and Cellular Screening Facility, Science for Life Laboratory, Department of Biochemistry and Biophysics, Stockholm University, Stockholm, 171 65, Sweden
| | - Carolina Wählby
- Centre for Image Analysis and Science for Life Laboratory, Uppsala University, Uppsala, 751 05, Sweden
| | - Erik L L Sonnhammer
- Stockholm Bioinformatics Center, Science for Life Laboratory, Department of Biochemistry and Biophysics, Stockholm University, Box 1031, 171 21, Solna, Sweden
| | - Emma Lundberg
- Cell Profiling-Affinity Proteomics, Science for Life Laboratory, KTH-Royal Institute of Technology, Stockholm, 17165, Sweden
| | - Pål Stenmark
- Department of Biochemistry and Biophysics, Stockholm University, 106 91, Stockholm, Sweden
| | - Blaz Zupan
- Faculty of Computer and Information Science, University of Ljubljana, SI-1000, Ljubljana, Slovenia
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, 77030, USA
| | - Thomas Helleday
- Division of Translational Medicine and Chemical Biology, Science for Life Laboratory, Department of Molecular Biochemistry and Biophysics, Karolinska Institutet, Stockholm, 171 65, Sweden.
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45
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Ly T, Whigham A, Clarke R, Brenes-Murillo AJ, Estes B, Madhessian D, Lundberg E, Wadsworth P, Lamond AI. Proteomic analysis of cell cycle progression in asynchronous cultures, including mitotic subphases, using PRIMMUS. eLife 2017; 6:e27574. [PMID: 29052541 PMCID: PMC5650473 DOI: 10.7554/elife.27574] [Citation(s) in RCA: 41] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2017] [Accepted: 10/06/2017] [Indexed: 12/22/2022] Open
Abstract
The temporal regulation of protein abundance and post-translational modifications is a key feature of cell division. Recently, we analysed gene expression and protein abundance changes during interphase under minimally perturbed conditions (Ly et al., 2014, 2015). Here, we show that by using specific intracellular immunolabelling protocols, FACS separation of interphase and mitotic cells, including mitotic subphases, can be combined with proteomic analysis by mass spectrometry. Using this PRIMMUS (PRoteomic analysis of Intracellular iMMUnolabelled cell Subsets) approach, we now compare protein abundance and phosphorylation changes in interphase and mitotic fractions from asynchronously growing human cells. We identify a set of 115 phosphorylation sites increased during G2, termed 'early risers'. This set includes phosphorylation of S738 on TPX2, which we show is important for TPX2 function and mitotic progression. Further, we use PRIMMUS to provide the first a proteome-wide analysis of protein abundance remodeling between prophase, prometaphase and anaphase.
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Affiliation(s)
- Tony Ly
- Centre for Gene Regulation and Expression, School of Life SciencesUniversity of DundeeDundeeUnited Kingdom
- Wellcome Centre for Cell BiologyUniversity of EdinburghEdinburghUnited Kingdom
| | - Arlene Whigham
- CAST Flow Cytometry Facility, School of Life SciencesUniversity of DundeeDundeeUnited Kingdom
| | - Rosemary Clarke
- CAST Flow Cytometry Facility, School of Life SciencesUniversity of DundeeDundeeUnited Kingdom
| | - Alejandro J Brenes-Murillo
- Centre for Gene Regulation and Expression, School of Life SciencesUniversity of DundeeDundeeUnited Kingdom
| | - Brett Estes
- Department of BiologyUniversity of MassachusettsMassachusettsUnited States
- Program in Molecular and Cellular BiologyUniversity of MassachusettsMassachusettsUnited States
| | - Diana Madhessian
- Science for Life LaboratoryRoyal Institute of TechnologyStockholmSweden
| | - Emma Lundberg
- Science for Life LaboratoryRoyal Institute of TechnologyStockholmSweden
| | - Patricia Wadsworth
- Department of BiologyUniversity of MassachusettsMassachusettsUnited States
- Program in Molecular and Cellular BiologyUniversity of MassachusettsMassachusettsUnited States
| | - Angus I Lamond
- Centre for Gene Regulation and Expression, School of Life SciencesUniversity of DundeeDundeeUnited Kingdom
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46
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Thul PJ, Åkesson L, Wiking M, Mahdessian D, Geladaki A, Ait Blal H, Alm T, Asplund A, Björk L, Breckels LM, Bäckström A, Danielsson F, Fagerberg L, Fall J, Gatto L, Gnann C, Hober S, Hjelmare M, Johansson F, Lee S, Lindskog C, Mulder J, Mulvey CM, Nilsson P, Oksvold P, Rockberg J, Schutten R, Schwenk JM, Sivertsson Å, Sjöstedt E, Skogs M, Stadler C, Sullivan DP, Tegel H, Winsnes C, Zhang C, Zwahlen M, Mardinoglu A, Pontén F, von Feilitzen K, Lilley KS, Uhlén M, Lundberg E. A subcellular map of the human proteome. Science 2017; 356:science.aal3321. [PMID: 28495876 DOI: 10.1126/science.aal3321] [Citation(s) in RCA: 1619] [Impact Index Per Article: 231.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2016] [Accepted: 03/31/2017] [Indexed: 12/13/2022]
Abstract
Resolving the spatial distribution of the human proteome at a subcellular level can greatly increase our understanding of human biology and disease. Here we present a comprehensive image-based map of subcellular protein distribution, the Cell Atlas, built by integrating transcriptomics and antibody-based immunofluorescence microscopy with validation by mass spectrometry. Mapping the in situ localization of 12,003 human proteins at a single-cell level to 30 subcellular structures enabled the definition of the proteomes of 13 major organelles. Exploration of the proteomes revealed single-cell variations in abundance or spatial distribution and localization of about half of the proteins to multiple compartments. This subcellular map can be used to refine existing protein-protein interaction networks and provides an important resource to deconvolute the highly complex architecture of the human cell.
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Affiliation(s)
- Peter J Thul
- Science for Life Laboratory, School of Biotechnology, KTH Royal Institute of Technology, SE-171 21 Stockholm, Sweden
| | - Lovisa Åkesson
- Science for Life Laboratory, School of Biotechnology, KTH Royal Institute of Technology, SE-171 21 Stockholm, Sweden
| | - Mikaela Wiking
- Science for Life Laboratory, School of Biotechnology, KTH Royal Institute of Technology, SE-171 21 Stockholm, Sweden
| | - Diana Mahdessian
- Science for Life Laboratory, School of Biotechnology, KTH Royal Institute of Technology, SE-171 21 Stockholm, Sweden
| | - Aikaterini Geladaki
- Cambridge Centre for Proteomics, Department of Biochemistry, University of Cambridge, Tennis Court Road, Cambridge CB2 1QR, UK
- Department of Genetics, University of Cambridge, Downing Street, Cambridge CB2 3EH, UK
| | - Hammou Ait Blal
- Science for Life Laboratory, School of Biotechnology, KTH Royal Institute of Technology, SE-171 21 Stockholm, Sweden
| | - Tove Alm
- Science for Life Laboratory, School of Biotechnology, KTH Royal Institute of Technology, SE-171 21 Stockholm, Sweden
| | - Anna Asplund
- Department of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University, SE-751 85 Uppsala, Sweden
| | - Lars Björk
- Science for Life Laboratory, School of Biotechnology, KTH Royal Institute of Technology, SE-171 21 Stockholm, Sweden
| | - Lisa M Breckels
- Cambridge Centre for Proteomics, Department of Biochemistry, University of Cambridge, Tennis Court Road, Cambridge CB2 1QR, UK
- Computational Proteomics Unit, Department of Biochemistry, University of Cambridge, Tennis Court Road, Cambridge CB2 1QR, UK
| | - Anna Bäckström
- Science for Life Laboratory, School of Biotechnology, KTH Royal Institute of Technology, SE-171 21 Stockholm, Sweden
| | - Frida Danielsson
- Science for Life Laboratory, School of Biotechnology, KTH Royal Institute of Technology, SE-171 21 Stockholm, Sweden
| | - Linn Fagerberg
- Science for Life Laboratory, School of Biotechnology, KTH Royal Institute of Technology, SE-171 21 Stockholm, Sweden
| | - Jenny Fall
- Science for Life Laboratory, School of Biotechnology, KTH Royal Institute of Technology, SE-171 21 Stockholm, Sweden
| | - Laurent Gatto
- Cambridge Centre for Proteomics, Department of Biochemistry, University of Cambridge, Tennis Court Road, Cambridge CB2 1QR, UK
- Computational Proteomics Unit, Department of Biochemistry, University of Cambridge, Tennis Court Road, Cambridge CB2 1QR, UK
| | - Christian Gnann
- Science for Life Laboratory, School of Biotechnology, KTH Royal Institute of Technology, SE-171 21 Stockholm, Sweden
| | - Sophia Hober
- Department of Proteomics, School of Biotechnology, KTH Royal Institute of Technology, SE-106 91 Stockholm, Sweden
| | - Martin Hjelmare
- Science for Life Laboratory, School of Biotechnology, KTH Royal Institute of Technology, SE-171 21 Stockholm, Sweden
| | - Fredric Johansson
- Science for Life Laboratory, School of Biotechnology, KTH Royal Institute of Technology, SE-171 21 Stockholm, Sweden
| | - Sunjae Lee
- Science for Life Laboratory, School of Biotechnology, KTH Royal Institute of Technology, SE-171 21 Stockholm, Sweden
| | - Cecilia Lindskog
- Department of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University, SE-751 85 Uppsala, Sweden
| | - Jan Mulder
- Science for Life Laboratory, Department of Neuroscience, Karolinska Institute, SE-171 77 Stockholm, Sweden
| | - Claire M Mulvey
- Cambridge Centre for Proteomics, Department of Biochemistry, University of Cambridge, Tennis Court Road, Cambridge CB2 1QR, UK
| | - Peter Nilsson
- Science for Life Laboratory, School of Biotechnology, KTH Royal Institute of Technology, SE-171 21 Stockholm, Sweden
| | - Per Oksvold
- Science for Life Laboratory, School of Biotechnology, KTH Royal Institute of Technology, SE-171 21 Stockholm, Sweden
| | - Johan Rockberg
- Department of Proteomics, School of Biotechnology, KTH Royal Institute of Technology, SE-106 91 Stockholm, Sweden
| | - Rutger Schutten
- Science for Life Laboratory, School of Biotechnology, KTH Royal Institute of Technology, SE-171 21 Stockholm, Sweden
| | - Jochen M Schwenk
- Science for Life Laboratory, School of Biotechnology, KTH Royal Institute of Technology, SE-171 21 Stockholm, Sweden
| | - Åsa Sivertsson
- Science for Life Laboratory, School of Biotechnology, KTH Royal Institute of Technology, SE-171 21 Stockholm, Sweden
| | - Evelina Sjöstedt
- Department of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University, SE-751 85 Uppsala, Sweden
| | - Marie Skogs
- Science for Life Laboratory, School of Biotechnology, KTH Royal Institute of Technology, SE-171 21 Stockholm, Sweden
| | - Charlotte Stadler
- Science for Life Laboratory, School of Biotechnology, KTH Royal Institute of Technology, SE-171 21 Stockholm, Sweden
| | - Devin P Sullivan
- Science for Life Laboratory, School of Biotechnology, KTH Royal Institute of Technology, SE-171 21 Stockholm, Sweden
| | - Hanna Tegel
- Department of Proteomics, School of Biotechnology, KTH Royal Institute of Technology, SE-106 91 Stockholm, Sweden
| | - Casper Winsnes
- Science for Life Laboratory, School of Biotechnology, KTH Royal Institute of Technology, SE-171 21 Stockholm, Sweden
| | - Cheng Zhang
- Science for Life Laboratory, School of Biotechnology, KTH Royal Institute of Technology, SE-171 21 Stockholm, Sweden
| | - Martin Zwahlen
- Science for Life Laboratory, School of Biotechnology, KTH Royal Institute of Technology, SE-171 21 Stockholm, Sweden
| | - Adil Mardinoglu
- Science for Life Laboratory, School of Biotechnology, KTH Royal Institute of Technology, SE-171 21 Stockholm, Sweden
| | - Fredrik Pontén
- Department of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University, SE-751 85 Uppsala, Sweden
| | - Kalle von Feilitzen
- Science for Life Laboratory, School of Biotechnology, KTH Royal Institute of Technology, SE-171 21 Stockholm, Sweden
| | - Kathryn S Lilley
- Cambridge Centre for Proteomics, Department of Biochemistry, University of Cambridge, Tennis Court Road, Cambridge CB2 1QR, UK
| | - Mathias Uhlén
- Science for Life Laboratory, School of Biotechnology, KTH Royal Institute of Technology, SE-171 21 Stockholm, Sweden.
| | - Emma Lundberg
- Science for Life Laboratory, School of Biotechnology, KTH Royal Institute of Technology, SE-171 21 Stockholm, Sweden.
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47
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Uhlén M, Lundberg E. Webinar | A high-resolution look at the human cell: Introducing the Human Cell Atlas. Science 2017. [DOI: 10.1126/science.355.6328.973-b] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/02/2022]
Abstract
Resolving the spatial distribution of the human proteome at a subcellular level greatly increases our understanding of human biology and disease. A high-resolution map of the human cell has been generated—part of the Human Protein Atlas database—that provides the in situ localization of 12,036 human proteins at a single-cell level, covering 30 subcellular structures, and enabling 14 major organelle proteomes to be defined. The high spatial resolution of the data has allowed the identification of novel protein components in all major organelles, as well as the characterization of fine cellular structures such as the cytokinetic bridge and nuclear bodies. An integrative approach to data generation includes strict validation criteria using gene silencing, paired antibodies, and fluorescently tagged proteins. The Cell Atlas reveals that approximately half of all proteins localize to multiple compartments and that many proteins show cell-to-cell variation in terms of protein abundance or spatial distribution. In this webinar, we will introduce the new Human Cell Atlas, outlining how it is being used to define the spatiotemporal organization of the human proteome at a subcellular level.
View the Webinar
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48
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Scharaw S, Iskar M, Ori A, Boncompain G, Laketa V, Poser I, Lundberg E, Perez F, Beck M, Bork P, Pepperkok R. The endosomal transcriptional regulator RNF11 integrates degradation and transport of EGFR. J Cell Biol 2016; 215:543-558. [PMID: 27872256 PMCID: PMC5119934 DOI: 10.1083/jcb.201601090] [Citation(s) in RCA: 41] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2016] [Revised: 09/07/2016] [Accepted: 10/17/2016] [Indexed: 12/24/2022] Open
Abstract
Maintenance of EGFR plasma membrane levels is critical for cell functioning. Scharaw et al. demonstrate that endosomal RNF11 is required for transcriptional up-regulation of COPII components, specifically facilitating EGFR transport in response to its lysosomal degradation after EGF stimulation. Stimulation of cells with epidermal growth factor (EGF) induces internalization and partial degradation of the EGF receptor (EGFR) by the endo-lysosomal pathway. For continuous cell functioning, EGFR plasma membrane levels are maintained by transporting newly synthesized EGFRs to the cell surface. The regulation of this process is largely unknown. In this study, we find that EGF stimulation specifically increases the transport efficiency of newly synthesized EGFRs from the endoplasmic reticulum to the plasma membrane. This coincides with an up-regulation of the inner coat protein complex II (COPII) components SEC23B, SEC24B, and SEC24D, which we show to be specifically required for EGFR transport. Up-regulation of these COPII components requires the transcriptional regulator RNF11, which localizes to early endosomes and appears additionally in the cell nucleus upon continuous EGF stimulation. Collectively, our work identifies a new regulatory mechanism that integrates the degradation and transport of EGFR in order to maintain its physiological levels at the plasma membrane.
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Affiliation(s)
- Sandra Scharaw
- Cell Biology and Biophysics Unit, European Molecular Biology Laboratory, 69117 Heidelberg, Germany
| | - Murat Iskar
- Structural and Computational Biology Unit, European Molecular Biology Laboratory, 69117 Heidelberg, Germany
| | - Alessandro Ori
- Structural and Computational Biology Unit, European Molecular Biology Laboratory, 69117 Heidelberg, Germany
| | - Gaelle Boncompain
- Institut Curie, Paris Sciences et Lettres Research University, 75248 Paris, France.,Institut Curie, Centre National de la Recherche Scientifique UMR144, 75248 Paris, France
| | - Vibor Laketa
- Cell Biology and Biophysics Unit, European Molecular Biology Laboratory, 69117 Heidelberg, Germany
| | - Ina Poser
- Max Planck Institute of Molecular Cell Biology and Genetics, 01307 Dresden, Germany
| | - Emma Lundberg
- Science for Life Laboratory, KTH Royal Institute of Technology, 17121 Solna, Sweden
| | - Franck Perez
- Institut Curie, Paris Sciences et Lettres Research University, 75248 Paris, France.,Institut Curie, Centre National de la Recherche Scientifique UMR144, 75248 Paris, France
| | - Martin Beck
- Structural and Computational Biology Unit, European Molecular Biology Laboratory, 69117 Heidelberg, Germany
| | - Peer Bork
- Structural and Computational Biology Unit, European Molecular Biology Laboratory, 69117 Heidelberg, Germany.,Max Delbrueck Center for Molecular Medicine, 13125 Berlin, Germany.,Department of Bioinformatics, Biocenter, University of Wuerzburg, 97074 Wuerzburg, Germany
| | - Rainer Pepperkok
- Cell Biology and Biophysics Unit, European Molecular Biology Laboratory, 69117 Heidelberg, Germany
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49
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Skogs M, Stadler C, Schutten R, Hjelmare M, Gnann C, Björk L, Poser I, Hyman A, Uhlén M, Lundberg E. Antibody Validation in Bioimaging Applications Based on Endogenous Expression of Tagged Proteins. J Proteome Res 2016; 16:147-155. [PMID: 27723985 DOI: 10.1021/acs.jproteome.6b00821] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Abstract
Antibodies are indispensible research tools, yet the scientific community has not adopted standardized procedures to validate their specificity. Here we present a strategy to systematically validate antibodies for immunofluorescence (IF) applications using gene tagging. We have assessed the on- and off-target binding capabilities of 197 antibodies using 108 cell lines expressing EGFP-tagged target proteins at endogenous levels. Furthermore, we assessed batch-to-batch effects for 35 target proteins, showing that both the on- and off-target binding patterns vary significantly between antibody batches and that the proposed strategy serves as a reliable procedure for ensuring reproducibility upon production of new antibody batches. In summary, we present a systematic scheme for antibody validation in IF applications using endogenous expression of tagged proteins. This is an important step toward a reproducible approach for context- and application-specific antibody validation and improved reliability of antibody-based experiments and research data.
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Affiliation(s)
- Marie Skogs
- Science for Life Laboratory, Royal Institute of Technology , SE-114 28 Stockholm, Sweden
| | - Charlotte Stadler
- Science for Life Laboratory, Royal Institute of Technology , SE-114 28 Stockholm, Sweden
| | - Rutger Schutten
- Science for Life Laboratory, Royal Institute of Technology , SE-114 28 Stockholm, Sweden
| | - Martin Hjelmare
- Science for Life Laboratory, Royal Institute of Technology , SE-114 28 Stockholm, Sweden
| | - Christian Gnann
- Science for Life Laboratory, Royal Institute of Technology , SE-114 28 Stockholm, Sweden
| | - Lars Björk
- Science for Life Laboratory, Royal Institute of Technology , SE-114 28 Stockholm, Sweden
| | - Ina Poser
- Molecular Cell Biology and Genetics, Max Planck Institute , D- 01307 Dresden, Germany
| | - Anthony Hyman
- Molecular Cell Biology and Genetics, Max Planck Institute , D- 01307 Dresden, Germany
| | - Mathias Uhlén
- Science for Life Laboratory, Royal Institute of Technology , SE-114 28 Stockholm, Sweden
| | - Emma Lundberg
- Science for Life Laboratory, Royal Institute of Technology , SE-114 28 Stockholm, Sweden
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50
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Edfors F, Danielsson F, Hallström BM, Käll L, Lundberg E, Pontén F, Forsström B, Uhlén M. Gene-specific correlation of RNA and protein levels in human cells and tissues. Mol Syst Biol 2016; 12:883. [PMID: 27951527 PMCID: PMC5081484 DOI: 10.15252/msb.20167144] [Citation(s) in RCA: 278] [Impact Index Per Article: 34.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2016] [Revised: 09/05/2016] [Accepted: 09/15/2016] [Indexed: 02/02/2023] Open
Abstract
An important issue for molecular biology is to establish whether transcript levels of a given gene can be used as proxies for the corresponding protein levels. Here, we have developed a targeted proteomics approach for a set of human non-secreted proteins based on parallel reaction monitoring to measure, at steady-state conditions, absolute protein copy numbers across human tissues and cell lines and compared these levels with the corresponding mRNA levels using transcriptomics. The study shows that the transcript and protein levels do not correlate well unless a gene-specific RNA-to-protein (RTP) conversion factor independent of the tissue type is introduced, thus significantly enhancing the predictability of protein copy numbers from RNA levels. The results show that the RTP ratio varies significantly with a few hundred copies per mRNA molecule for some genes to several hundred thousands of protein copies per mRNA molecule for others. In conclusion, our data suggest that transcriptome analysis can be used as a tool to predict the protein copy numbers per cell, thus forming an attractive link between the field of genomics and proteomics.
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Affiliation(s)
- Fredrik Edfors
- Science for Life Laboratory, KTH - Royal Institute of Technology, Stockholm, Sweden
| | - Frida Danielsson
- Science for Life Laboratory, KTH - Royal Institute of Technology, Stockholm, Sweden
| | - Björn M Hallström
- Science for Life Laboratory, KTH - Royal Institute of Technology, Stockholm, Sweden
| | - Lukas Käll
- Science for Life Laboratory, KTH - Royal Institute of Technology, Stockholm, Sweden
| | - Emma Lundberg
- Science for Life Laboratory, KTH - Royal Institute of Technology, Stockholm, Sweden
| | - Fredrik Pontén
- Department of Immunology, Genetics and Pathology, Rudbeck Laboratory, Uppsala University, Uppsala, Sweden
| | - Björn Forsström
- Science for Life Laboratory, KTH - Royal Institute of Technology, Stockholm, Sweden
| | - Mathias Uhlén
- Science for Life Laboratory, KTH - Royal Institute of Technology, Stockholm, Sweden
- Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Hørsholm, Denmark
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