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Selheim F, Aasebø E, Reikvam H, Bruserud Ø, Hernandez-Valladares M. Monocytic Differentiation of Human Acute Myeloid Leukemia Cells: A Proteomic and Phosphoproteomic Comparison of FAB-M4/M5 Patients with and without Nucleophosmin 1 Mutations. Int J Mol Sci 2024; 25:5080. [PMID: 38791118 PMCID: PMC11121526 DOI: 10.3390/ijms25105080] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2023] [Revised: 04/14/2024] [Accepted: 04/24/2024] [Indexed: 05/26/2024] Open
Abstract
Even though morphological signs of differentiation have a minimal impact on survival after intensive cytotoxic therapy for acute myeloid leukemia (AML), monocytic AML cell differentiation (i.e., classified as French/American/British (FAB) subtypes M4/M5) is associated with a different responsiveness both to Bcl-2 inhibition (decreased responsiveness) and possibly also bromodomain inhibition (increased responsiveness). FAB-M4/M5 patients are heterogeneous with regard to genetic abnormalities, even though monocytic differentiation is common for patients with Nucleophosmin 1 (NPM1) insertions/mutations; to further study the heterogeneity of FAB-M4/M5 patients we did a proteomic and phosphoproteomic comparison of FAB-M4/M5 patients with (n = 13) and without (n = 12) NPM1 mutations. The proteomic profile of NPM1-mutated FAB-M4/M5 patients was characterized by increased levels of proteins involved in the regulation of endocytosis/vesicle trafficking/organellar communication. In contrast, AML cells without NPM1 mutations were characterized by increased levels of several proteins involved in the regulation of cytoplasmic translation, including a large number of ribosomal proteins. The phosphoproteomic differences between the two groups were less extensive but reflected similar differences. To conclude, even though FAB classification/monocytic differentiation are associated with differences in responsiveness to new targeted therapies (e.g., Bcl-2 inhibition), our results shows that FAB-M4/M5 patients are heterogeneous with regard to important biological characteristics of the leukemic cells.
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Affiliation(s)
- Frode Selheim
- Proteomics Unit of University of Bergen (PROBE), University of Bergen, Jonas Lies vei 91, 5009 Bergen, Norway
| | - Elise Aasebø
- Acute Leukemia Research Group, Department of Clinical Science, University of Bergen, Jonas Lies vei 91, 5009 Bergen, Norway; (E.A.); (H.R.); (Ø.B.)
| | - Håkon Reikvam
- Acute Leukemia Research Group, Department of Clinical Science, University of Bergen, Jonas Lies vei 91, 5009 Bergen, Norway; (E.A.); (H.R.); (Ø.B.)
- Section for Hematology, Department of Medicine, Haukeland University Hospital, 5009 Bergen, Norway
| | - Øystein Bruserud
- Acute Leukemia Research Group, Department of Clinical Science, University of Bergen, Jonas Lies vei 91, 5009 Bergen, Norway; (E.A.); (H.R.); (Ø.B.)
- Section for Hematology, Department of Medicine, Haukeland University Hospital, 5009 Bergen, Norway
| | - Maria Hernandez-Valladares
- Proteomics Unit of University of Bergen (PROBE), University of Bergen, Jonas Lies vei 91, 5009 Bergen, Norway
- Department of Physical Chemistry, University of Granada, Avenida de la Fuente Nueva S/N, 18071 Granada, Spain
- Instituto de Investigación Biosanitaria ibs.GRANADA, 18012 Granada, Spain
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2
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Listopad S, Magnan C, Day LZ, Asghar A, Stolz A, Tayek JA, Liu ZX, Jacobs JM, Morgan TR, Norden-Krichmar TM. Identification of integrated proteomics and transcriptomics signature of alcohol-associated liver disease using machine learning. PLOS DIGITAL HEALTH 2024; 3:e0000447. [PMID: 38335183 PMCID: PMC10857706 DOI: 10.1371/journal.pdig.0000447] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/08/2023] [Accepted: 01/09/2024] [Indexed: 02/12/2024]
Abstract
Distinguishing between alcohol-associated hepatitis (AH) and alcohol-associated cirrhosis (AC) remains a diagnostic challenge. In this study, we used machine learning with transcriptomics and proteomics data from liver tissue and peripheral mononuclear blood cells (PBMCs) to classify patients with alcohol-associated liver disease. The conditions in the study were AH, AC, and healthy controls. We processed 98 PBMC RNAseq samples, 55 PBMC proteomic samples, 48 liver RNAseq samples, and 53 liver proteomic samples. First, we built separate classification and feature selection pipelines for transcriptomics and proteomics data. The liver tissue models were validated in independent liver tissue datasets. Next, we built integrated gene and protein expression models that allowed us to identify combined gene-protein biomarker panels. For liver tissue, we attained 90% nested-cross validation accuracy in our dataset and 82% accuracy in the independent validation dataset using transcriptomic data. We attained 100% nested-cross validation accuracy in our dataset and 61% accuracy in the independent validation dataset using proteomic data. For PBMCs, we attained 83% and 89% accuracy with transcriptomic and proteomic data, respectively. The integration of the two data types resulted in improved classification accuracy for PBMCs, but not liver tissue. We also identified the following gene-protein matches within the gene-protein biomarker panels: CLEC4M-CLC4M, GSTA1-GSTA2 for liver tissue and SELENBP1-SBP1 for PBMCs. In this study, machine learning models had high classification accuracy for both transcriptomics and proteomics data, across liver tissue and PBMCs. The integration of transcriptomics and proteomics into a multi-omics model yielded improvement in classification accuracy for the PBMC data. The set of integrated gene-protein biomarkers for PBMCs show promise toward developing a liquid biopsy for alcohol-associated liver disease.
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Affiliation(s)
- Stanislav Listopad
- Department of Computer Science, University of California, Irvine, California, United States of America
| | - Christophe Magnan
- Department of Computer Science, University of California, Irvine, California, United States of America
| | - Le Z. Day
- Biological Sciences Division and Environmental and Molecular Sciences Division, Pacific Northwest National Laboratory, Richland, Washington, United States of America
| | - Aliya Asghar
- Medical and Research Services, VA Long Beach Healthcare System, Long Beach, California, United States of America
| | - Andrew Stolz
- Division of Gastrointestinal & Liver Diseases, Department of Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California, United States of America
| | - John A. Tayek
- Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Department of Internal Medicine, David Geffen School of Medicine, University of California Los Angeles, Torrance, California, United States of America
| | - Zhang-Xu Liu
- Division of Gastrointestinal & Liver Diseases, Department of Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California, United States of America
| | - Jon M. Jacobs
- Biological Sciences Division and Environmental and Molecular Sciences Division, Pacific Northwest National Laboratory, Richland, Washington, United States of America
| | - Timothy R. Morgan
- Medical and Research Services, VA Long Beach Healthcare System, Long Beach, California, United States of America
| | - Trina M. Norden-Krichmar
- Department of Computer Science, University of California, Irvine, California, United States of America
- Department of Epidemiology and Biostatistics, University of California, Irvine, California, United States of America
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3
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Adejor J, Tumukunde E, Li G, Lin H, Xie R, Wang S. Impact of Lysine Succinylation on the Biology of Fungi. Curr Issues Mol Biol 2024; 46:1020-1046. [PMID: 38392183 PMCID: PMC10888112 DOI: 10.3390/cimb46020065] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2023] [Revised: 01/02/2024] [Accepted: 01/03/2024] [Indexed: 02/24/2024] Open
Abstract
Post-translational modifications (PTMs) play a crucial role in protein functionality and the control of various cellular processes and secondary metabolites (SMs) in fungi. Lysine succinylation (Ksuc) is an emerging protein PTM characterized by the addition of a succinyl group to a lysine residue, which induces substantial alteration in the chemical and structural properties of the affected protein. This chemical alteration is reversible, dynamic in nature, and evolutionarily conserved. Recent investigations of numerous proteins that undergo significant succinylation have underscored the potential significance of Ksuc in various biological processes, encompassing normal physiological functions and the development of certain pathological processes and metabolites. This review aims to elucidate the molecular mechanisms underlying Ksuc and its diverse functions in fungi. Both conventional investigation techniques and predictive tools for identifying Ksuc sites were also considered. A more profound comprehension of Ksuc and its impact on the biology of fungi have the potential to unveil new insights into post-translational modification and may pave the way for innovative approaches that can be applied across various clinical contexts in the management of mycotoxins.
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Affiliation(s)
- John Adejor
- Key Laboratory of Pathogenic Fungi and Mycotoxins of Fujian Province, Key Laboratory of Biopesticide and Chemical Biology of Education Ministry, College of Life Sciences, Fujian Agriculture and Forestry University, Fuzhou 350002, China
| | - Elisabeth Tumukunde
- Key Laboratory of Pathogenic Fungi and Mycotoxins of Fujian Province, Key Laboratory of Biopesticide and Chemical Biology of Education Ministry, College of Life Sciences, Fujian Agriculture and Forestry University, Fuzhou 350002, China
| | - Guoqi Li
- Key Laboratory of Pathogenic Fungi and Mycotoxins of Fujian Province, Key Laboratory of Biopesticide and Chemical Biology of Education Ministry, College of Life Sciences, Fujian Agriculture and Forestry University, Fuzhou 350002, China
| | - Hong Lin
- Key Laboratory of Pathogenic Fungi and Mycotoxins of Fujian Province, Key Laboratory of Biopesticide and Chemical Biology of Education Ministry, College of Life Sciences, Fujian Agriculture and Forestry University, Fuzhou 350002, China
| | - Rui Xie
- Key Laboratory of Pathogenic Fungi and Mycotoxins of Fujian Province, Key Laboratory of Biopesticide and Chemical Biology of Education Ministry, College of Life Sciences, Fujian Agriculture and Forestry University, Fuzhou 350002, China
| | - Shihua Wang
- Key Laboratory of Pathogenic Fungi and Mycotoxins of Fujian Province, Key Laboratory of Biopesticide and Chemical Biology of Education Ministry, College of Life Sciences, Fujian Agriculture and Forestry University, Fuzhou 350002, China
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4
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Kojima Y, Mishiro-Sato E, Fujishita T, Satoh K, Kajino-Sakamoto R, Oze I, Nozawa K, Narita Y, Ogata T, Matsuo K, Muro K, Taketo MM, Soga T, Aoki M. Decreased liver B vitamin-related enzymes as a metabolic hallmark of cancer cachexia. Nat Commun 2023; 14:6246. [PMID: 37803016 PMCID: PMC10558488 DOI: 10.1038/s41467-023-41952-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2022] [Accepted: 09/20/2023] [Indexed: 10/08/2023] Open
Abstract
Cancer cachexia is a complex metabolic disorder accounting for ~20% of cancer-related deaths, yet its metabolic landscape remains unexplored. Here, we report a decrease in B vitamin-related liver enzymes as a hallmark of systemic metabolic changes occurring in cancer cachexia. Metabolomics of multiple mouse models highlights cachexia-associated reductions of niacin, vitamin B6, and a glycine-related subset of one-carbon (C1) metabolites in the liver. Integration of proteomics and metabolomics reveals that liver enzymes related to niacin, vitamin B6, and glycine-related C1 enzymes dependent on B vitamins decrease linearly with their associated metabolites, likely reflecting stoichiometric cofactor-enzyme interactions. The decrease of B vitamin-related enzymes is also found to depend on protein abundance and cofactor subtype. These metabolic/proteomic changes and decreased protein malonylation, another cachexia feature identified by protein post-translational modification analysis, are reflected in blood samples from mouse models and gastric cancer patients with cachexia, underscoring the clinical relevance of our findings.
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Affiliation(s)
- Yasushi Kojima
- Division of Pathophysiology, Aichi Cancer Center Research Institute, 1-1 Kanokoden, Chikusa-ku, Nagoya, Aichi, 464-8681, Japan.
| | - Emi Mishiro-Sato
- Division of Pathophysiology, Aichi Cancer Center Research Institute, 1-1 Kanokoden, Chikusa-ku, Nagoya, Aichi, 464-8681, Japan
| | - Teruaki Fujishita
- Division of Pathophysiology, Aichi Cancer Center Research Institute, 1-1 Kanokoden, Chikusa-ku, Nagoya, Aichi, 464-8681, Japan
| | - Kiyotoshi Satoh
- Institute for Advanced Biosciences, Keio University, 246-2 Mizukami, Kakuganji, Tsuruoka, Yamagata, 997-0052, Japan
| | - Rie Kajino-Sakamoto
- Division of Pathophysiology, Aichi Cancer Center Research Institute, 1-1 Kanokoden, Chikusa-ku, Nagoya, Aichi, 464-8681, Japan
| | - Isao Oze
- Division of Cancer Epidemiology and Prevention, Aichi Cancer Center Research Institute, 1-1 Kanokoden, Chikusa-ku, Nagoya, Aichi, 464-8681, Japan
| | - Kazuki Nozawa
- Department of Clinical Oncology, Aichi Cancer Center Hospital, 1-1 Kanokoden, Chikusa-ku, Nagoya, Aichi, 464-8681, Japan
| | - Yukiya Narita
- Department of Clinical Oncology, Aichi Cancer Center Hospital, 1-1 Kanokoden, Chikusa-ku, Nagoya, Aichi, 464-8681, Japan
| | - Takatsugu Ogata
- Department of Clinical Oncology, Aichi Cancer Center Hospital, 1-1 Kanokoden, Chikusa-ku, Nagoya, Aichi, 464-8681, Japan
| | - Keitaro Matsuo
- Division of Cancer Epidemiology and Prevention, Aichi Cancer Center Research Institute, 1-1 Kanokoden, Chikusa-ku, Nagoya, Aichi, 464-8681, Japan
| | - Kei Muro
- Department of Clinical Oncology, Aichi Cancer Center Hospital, 1-1 Kanokoden, Chikusa-ku, Nagoya, Aichi, 464-8681, Japan
| | - Makoto Mark Taketo
- Colon Cancer Project, Kyoto University Hospital-iACT, Kyoto University, Yoshida-Konoe-cho, Sakyo-ku, Kyoto, 606-8501, Japan
| | - Tomoyoshi Soga
- Institute for Advanced Biosciences, Keio University, 246-2 Mizukami, Kakuganji, Tsuruoka, Yamagata, 997-0052, Japan
| | - Masahiro Aoki
- Division of Pathophysiology, Aichi Cancer Center Research Institute, 1-1 Kanokoden, Chikusa-ku, Nagoya, Aichi, 464-8681, Japan.
- Department of Cancer Physiology, Nagoya University Graduate School of Medicine, 65 Tsurumai-cho, Showa-ku, Nagoya, Aichi, 466-8550, Japan.
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5
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Karatzas E, Baltoumas FA, Aplakidou E, Kontou PI, Stathopoulos P, Stefanis L, Bagos PG, Pavlopoulos GA. Flame (v2.0): advanced integration and interpretation of functional enrichment results from multiple sources. Bioinformatics 2023; 39:btad490. [PMID: 37540207 PMCID: PMC10423032 DOI: 10.1093/bioinformatics/btad490] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2023] [Revised: 05/31/2023] [Accepted: 08/03/2023] [Indexed: 08/05/2023] Open
Abstract
Functional enrichment is the process of identifying implicated functional terms from a given input list of genes or proteins. In this article, we present Flame (v2.0), a web tool which offers a combinatorial approach through merging and visualizing results from widely used functional enrichment applications while also allowing various flexible input options. In this version, Flame utilizes the aGOtool, g: Profiler, WebGestalt, and Enrichr pipelines and presents their outputs separately or in combination following a visual analytics approach. For intuitive representations and easier interpretation, it uses interactive plots such as parameterizable networks, heatmaps, barcharts, and scatter plots. Users can also: (i) handle multiple protein/gene lists and analyse union and intersection sets simultaneously through interactive UpSet plots, (ii) automatically extract genes and proteins from free text through text-mining and Named Entity Recognition (NER) techniques, (iii) upload single nucleotide polymorphisms (SNPs) and extract their relative genes, or (iv) analyse multiple lists of differentially expressed proteins/genes after selecting them interactively from a parameterizable volcano plot. Compared to the previous version of 197 supported organisms, Flame (v2.0) currently allows enrichment for 14 436 organisms. AVAILABILITY AND IMPLEMENTATION Web Application: http://flame.pavlopouloslab.info. Code: https://github.com/PavlopoulosLab/Flame. Docker: https://hub.docker.com/r/pavlopouloslab/flame.
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Affiliation(s)
- Evangelos Karatzas
- Institute for Fundamental Biomedical Research, BSRC “Alexander Fleming”, Vari (Athens), 16672, Greece
| | - Fotis A Baltoumas
- Institute for Fundamental Biomedical Research, BSRC “Alexander Fleming”, Vari (Athens), 16672, Greece
| | - Eleni Aplakidou
- Institute for Fundamental Biomedical Research, BSRC “Alexander Fleming”, Vari (Athens), 16672, Greece
| | - Panagiota I Kontou
- Department of Mathematics, University of Thessaly, Lamia, 35100, Greece
- Department of Computer Science and Biomedical Informatics, University of Thessaly, Lamia, 35131, Greece
| | - Panos Stathopoulos
- 1st Department of Neurology, Eginition Hospital, Athens, 11528, Greece
- School of Medicine, National and Kapodistrian University of Athens, Athens, 11527, Greece
| | - Leonidas Stefanis
- 1st Department of Neurology, Eginition Hospital, Athens, 11528, Greece
| | - Pantelis G Bagos
- Department of Computer Science and Biomedical Informatics, University of Thessaly, Lamia, 35131, Greece
| | - Georgios A Pavlopoulos
- Institute for Fundamental Biomedical Research, BSRC “Alexander Fleming”, Vari (Athens), 16672, Greece
- Center of Basic Research, Biomedical Research Foundation of the Academy of Athens, Athens, 11527, Greece
- Hellenic Army Academy, Vari, 16673, Greece
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6
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Krismer E, Bludau I, Strauss MT, Mann M. AlphaPeptStats: an open-source Python package for automated and scalable statistical analysis of mass spectrometry-based proteomics. Bioinformatics 2023; 39:btad461. [PMID: 37527012 PMCID: PMC10415174 DOI: 10.1093/bioinformatics/btad461] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2023] [Revised: 06/18/2023] [Accepted: 07/31/2023] [Indexed: 08/03/2023] Open
Abstract
SUMMARY The widespread application of mass spectrometry (MS)-based proteomics in biomedical research increasingly requires robust, transparent, and streamlined solutions to extract statistically reliable insights. We have designed and implemented AlphaPeptStats, an inclusive Python package with currently with broad functionalities for normalization, imputation, visualization, and statistical analysis of label-free proteomics data. It modularly builds on the established stack of Python scientific libraries and is accompanied by a rigorous testing framework with 98% test coverage. It imports the output of a range of popular search engines. Data can be filtered and normalized according to user specifications. At its heart, AlphaPeptStats provides a wide range of robust statistical algorithms such as t-tests, analysis of variance, principal component analysis, hierarchical clustering, and multiple covariate analysis-all in an automatable manner. Data visualization capabilities include heat maps, volcano plots, and scatter plots in publication-ready format. AlphaPeptStats advances proteomic research through its robust tools that enable researchers to manually or automatically explore complex datasets to identify interesting patterns and outliers. AVAILABILITY AND IMPLEMENTATION AlphaPeptStats is implemented in Python and part of the AlphaPept framework. It is released under a permissive Apache license. The source code and one-click installers are freely available and on GitHub at https://github.com/MannLabs/alphapeptstats.
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Affiliation(s)
- Elena Krismer
- Department of Clinical Proteomics, Novo Nordisk Foundation Center for Protein Research, Faculty of Health Sciences, University of Copenhagen, 2200 Copenhagen, Denmark
| | - Isabell Bludau
- Department of Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, 82152 Martinsried, Germany
| | - Maximilian T Strauss
- Department of Clinical Proteomics, Novo Nordisk Foundation Center for Protein Research, Faculty of Health Sciences, University of Copenhagen, 2200 Copenhagen, Denmark
| | - Matthias Mann
- Department of Clinical Proteomics, Novo Nordisk Foundation Center for Protein Research, Faculty of Health Sciences, University of Copenhagen, 2200 Copenhagen, Denmark
- Department of Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, 82152 Martinsried, Germany
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7
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Kokoli M, Karatzas E, Baltoumas FA, Schneider R, Pafilis E, Paragkamian S, Doncheva NT, Jensen L, Pavlopoulos G. Arena3D web: interactive 3D visualization of multilayered networks supporting multiple directional information channels, clustering analysis and application integration. NAR Genom Bioinform 2023; 5:lqad053. [PMID: 37260509 PMCID: PMC10227371 DOI: 10.1093/nargab/lqad053] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2023] [Revised: 04/25/2023] [Accepted: 05/18/2023] [Indexed: 06/02/2023] Open
Abstract
Arena3Dweb is an interactive web tool that visualizes multi-layered networks in 3D space. In this update, Arena3Dweb supports directed networks as well as up to nine different types of connections between pairs of nodes with the use of Bézier curves. It comes with different color schemes (light/gray/dark mode), custom channel coloring, four node clustering algorithms which one can run on-the-fly, visualization in VR mode and predefined layer layouts (zig-zag, star and cube). This update also includes enhanced navigation controls (mouse orbit controls, layer dragging and layer/node selection), while its newly developed API allows integration with external applications as well as saving and loading of sessions in JSON format. Finally, a dedicated Cytoscape app has been developed, through which users can automatically send their 2D networks from Cytoscape to Arena3Dweb for 3D multi-layer visualization. Arena3Dweb is accessible at http://arena3d.pavlopouloslab.info or http://arena3d.org.
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Affiliation(s)
| | | | - Fotis A Baltoumas
- Institute for Fundamental Biomedical Research, BSRC “Alexander Fleming”, Vari16672, Greece
| | - Reinhard Schneider
- University of Luxembourg, Luxembourg Centre for Systems Biomedicine, Bioinformatics Core, Esch-sur-Alzette, Luxembourg
| | - Evangelos Pafilis
- Institute of Marine Biology, Biotechnology and Aquaculture (IMBBC), Hellenic Centre for Marine Research (HCMR), Former U.S. Base of Gournes, Heraklion 71003, Greece
| | - Savvas Paragkamian
- Institute of Marine Biology, Biotechnology and Aquaculture (IMBBC), Hellenic Centre for Marine Research (HCMR), Former U.S. Base of Gournes, Heraklion 71003, Greece
- Department of Biology, University of Crete, Voutes University Campus, P.O. Box 2208, 70013 Heraklion, Crete, Greece
| | - Nadezhda T Doncheva
- Novo Nordisk Foundation Center for Protein Research, University of Copenhagen, Copenhagen N DK-2200, Denmark
| | - Lars Juhl Jensen
- Novo Nordisk Foundation Center for Protein Research, University of Copenhagen, Copenhagen N DK-2200, Denmark
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8
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Grammatikopoulou MG, Skoufas E, Kanellakis S, Sanoudou D, Pavlopoulos GA, Eliopoulos AG, Gkouskou KK. Ageotypes revisited: The brain and central nervous system dysfunction as a major nutritional and lifestyle target for healthy aging. Maturitas 2023; 170:51-57. [PMID: 36773500 DOI: 10.1016/j.maturitas.2023.01.013] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2022] [Revised: 01/13/2023] [Accepted: 01/18/2023] [Indexed: 02/09/2023]
Abstract
Undeniably, biological age can significantly differ between individuals of similar chronological age. Longitudinal, deep multi-omic profiling has recently enabled the identification of individuals with distinct aging phenotypes, termed 'ageotypes'. This effort has provided a plethora of data and new insights into the diverse molecular mechanisms presumed to drive aging. Translational opportunities stemming from this knowledge continue to evolve, providing an opportunity for the provision of nutritional interventions aiming to decelerate the aging process. In this framework, the contemporary ageotypes classification was revisited via in silico analyses, with the brain and nervous system being identified as the primary targets of age-related biomolecules, acting through inflammatory and metabolic pathways. Nutritional and lifestyle factors affecting these pathways in the brain and central nervous system that could help guide personalized recommendations for the attainment of healthy aging are discussed.
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Affiliation(s)
- Maria G Grammatikopoulou
- Unit of Immunonutrition and Clinical Nutrition, Department of Rheumatology and Clinical Immunology, University General Hospital of Larissa, Faculty of Medicine, School of Health Sciences, University of Thessaly, Biopolis, Larissa GR-41110, Greece.
| | - Efstathios Skoufas
- Department of Biology, School of Medicine, National and Kapodistrian University of Athens, Mikras Asias 75, Athens GR-11527, Greece.
| | - Spyridon Kanellakis
- Department of Nutrition and Dietetics, Harokopio University, Kallithea, Athens, Greece.
| | - Despina Sanoudou
- Clinical Genomics and Pharmacogenomics Unit, 4th Department of Internal Medicine, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece; Center for New Biotechnologies and Precision Medicine, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece; Center of Basic Research, Biomedical Research Foundation of the Academy of Athens, Athens, Greece.
| | - Georgios A Pavlopoulos
- Institute for Fundamental Biomedical Research, Biomedical Sciences Research Center Alexander Fleming, Vari, Greece
| | - Aristides G Eliopoulos
- Department of Biology, School of Medicine, National and Kapodistrian University of Athens, Mikras Asias 75, Athens GR-11527, Greece; Center for New Biotechnologies and Precision Medicine, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece; Center of Basic Research, Biomedical Research Foundation of the Academy of Athens, Athens, Greece.
| | - Kalliopi K Gkouskou
- Department of Biology, School of Medicine, National and Kapodistrian University of Athens, Mikras Asias 75, Athens GR-11527, Greece; Embiodiagnostics Biology Research Company, 1 Melissinon and Damvergidon Street, Heraklion GR-71305, Crete, Greece.
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9
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Zhao K, Rhee SY. Interpreting omics data with pathway enrichment analysis. Trends Genet 2023; 39:308-319. [PMID: 36750393 DOI: 10.1016/j.tig.2023.01.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2022] [Revised: 11/24/2022] [Accepted: 01/13/2023] [Indexed: 02/09/2023]
Abstract
Pathway enrichment analysis is indispensable for interpreting omics datasets and generating hypotheses. However, the foundations of enrichment analysis remain elusive to many biologists. Here, we discuss best practices in interpreting different types of omics data using pathway enrichment analysis and highlight the importance of considering intrinsic features of various types of omics data. We further explain major components that influence the outcomes of a pathway enrichment analysis, including defining background sets and choosing reference annotation databases. To improve reproducibility, we describe how to standardize reporting methodological details in publications. This article aims to serve as a primer for biologists to leverage the wealth of omics resources and motivate bioinformatics tool developers to enhance the power of pathway enrichment analysis.
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Affiliation(s)
- Kangmei Zhao
- Department of Plant Biology, Carnegie Institution for Science, Stanford, CA 94025, USA.
| | - Seung Yon Rhee
- Department of Plant Biology, Carnegie Institution for Science, Stanford, CA 94025, USA.
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10
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Estêvão J, Osorio H, Costas B, Cruz A, Fernández-Boo S. Search for new biomarkers of tolerance to Perkinsus olseni parasite infection in Ruditapes decussatus clams. FISH & SHELLFISH IMMUNOLOGY 2023; 134:108566. [PMID: 36736640 DOI: 10.1016/j.fsi.2023.108566] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/07/2022] [Revised: 01/23/2023] [Accepted: 01/23/2023] [Indexed: 06/18/2023]
Abstract
The grooved carpet shell (Ruditapes decussatus) is a clam species with high economic and social importance in several European and Mediterranean countries. Production of this species suffered a decline caused by biotic (parasite infection) and abiotic factors (environmental factors, stress, poor management methods and intensive culture of the introduced species Ruditapes philippinarum). The protozoan parasite Perkinsus olseni is also responsible for the decline of production, being nowadays one of the major issues for clam culture. Molecular biomarkers that might represent tolerance of R. decussatus to P. olseni have already been uncovered, shedding light in a possible production improvement by selecting those clams with a strongest immune response. In the present study, new tolerance biomarkers to P. olseni infection in R. decussatus were identified. The haemolymph proteomic profiles of naturally non/low-infected (tolerant) and highly-infected (susceptible) clams by the parasite across several heavy affected areas of Europe were characterized through a shotgun proteomics approach. Also, the mechanisms that might be involved in the responses against the disease in chronic infections were explored. Proteins related to energy restoration and balance, metabolic regulation, energy accumulation, ROS production, lysosomal activity, amino acid synthesis, proteolytic activity, iron regulation, iron withholding, and immune response modulation were significantly regulated in susceptible clams. In the tolerant group, proteins related to phagocytosis regulation, control of cell growth and proliferation, gonadal maturation, regulation of apoptosis, growth modulation, response to oxidative stress, iron regulation, shell development and metabolic regulation were significantly expressed. In summary, the protein expression profile of tolerant individuals suggests that an efficient pathogen elimination mechanism coupled to a better metabolic regulation leads to a tolerance to the parasite infection by limiting the spread through the tissues.
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Affiliation(s)
- João Estêvão
- Animal Health and Aquaculture (A2S), CIIMAR - Centro Interdisciplinar de Investigação Marinha e Ambiental, University of Porto, Porto, Portugal; Instituto de Ciências Biomédicas Abel Salazar (ICBAS), University of Porto, Porto, Portugal
| | - Hugo Osorio
- i3S - Instituto de Investigação e Inovação em Saúde, University of Porto, Porto, Portugal; Ipatimup-Institute of Molecular Pathology and Immunology of the University of Porto, University of Porto, Porto, Portugal
| | - Benjamin Costas
- Animal Health and Aquaculture (A2S), CIIMAR - Centro Interdisciplinar de Investigação Marinha e Ambiental, University of Porto, Porto, Portugal; Instituto de Ciências Biomédicas Abel Salazar (ICBAS), University of Porto, Porto, Portugal
| | - Andreia Cruz
- Oceano Fresco S.A, Porto de Abrigo, 2450-075, Nazaré, Portugal
| | - Sergio Fernández-Boo
- Animal Health and Aquaculture (A2S), CIIMAR - Centro Interdisciplinar de Investigação Marinha e Ambiental, University of Porto, Porto, Portugal.
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11
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Carrillo-Rodriguez P, Selheim F, Hernandez-Valladares M. Mass Spectrometry-Based Proteomics Workflows in Cancer Research: The Relevance of Choosing the Right Steps. Cancers (Basel) 2023; 15:cancers15020555. [PMID: 36672506 PMCID: PMC9856946 DOI: 10.3390/cancers15020555] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2023] [Accepted: 01/12/2023] [Indexed: 01/19/2023] Open
Abstract
The qualitative and quantitative evaluation of proteome changes that condition cancer development can be achieved with liquid chromatography-mass spectrometry (LC-MS). LC-MS-based proteomics strategies are carried out according to predesigned workflows that comprise several steps such as sample selection, sample processing including labeling, MS acquisition methods, statistical treatment, and bioinformatics to understand the biological meaning of the findings and set predictive classifiers. As the choice of best options might not be straightforward, we herein review and assess past and current proteomics approaches for the discovery of new cancer biomarkers. Moreover, we review major bioinformatics tools for interpreting and visualizing proteomics results and suggest the most popular machine learning techniques for the selection of predictive biomarkers. Finally, we consider the approximation of proteomics strategies for clinical diagnosis and prognosis by discussing current barriers and proposals to circumvent them.
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Affiliation(s)
- Paula Carrillo-Rodriguez
- Proteomics Unit of University of Bergen (PROBE), University of Bergen, Jonas Lies vei 91, 5009 Bergen, Norway
- Vall d'Hebron Institute of Oncology (VHIO), 08035 Barcelona, Spain
| | - Frode Selheim
- Proteomics Unit of University of Bergen (PROBE), University of Bergen, Jonas Lies vei 91, 5009 Bergen, Norway
| | - Maria Hernandez-Valladares
- Proteomics Unit of University of Bergen (PROBE), University of Bergen, Jonas Lies vei 91, 5009 Bergen, Norway
- Department of Physical Chemistry, University of Granada, Avenida de la Fuente Nueva S/N, 18071 Granada, Spain
- Instituto de Investigación Biosanitaria ibs.GRANADA, 18012 Granada, Spain
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12
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Baltoumas FA, Karatzas E, Paez-Espino D, Venetsianou NK, Aplakidou E, Oulas A, Finn RD, Ovchinnikov S, Pafilis E, Kyrpides NC, Pavlopoulos GA. Exploring microbial functional biodiversity at the protein family level-From metagenomic sequence reads to annotated protein clusters. FRONTIERS IN BIOINFORMATICS 2023; 3:1157956. [PMID: 36959975 PMCID: PMC10029925 DOI: 10.3389/fbinf.2023.1157956] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2023] [Accepted: 02/21/2023] [Indexed: 03/06/2023] Open
Abstract
Metagenomics has enabled accessing the genetic repertoire of natural microbial communities. Metagenome shotgun sequencing has become the method of choice for studying and classifying microorganisms from various environments. To this end, several methods have been developed to process and analyze the sequence data from raw reads to end-products such as predicted protein sequences or families. In this article, we provide a thorough review to simplify such processes and discuss the alternative methodologies that can be followed in order to explore biodiversity at the protein family level. We provide details for analysis tools and we comment on their scalability as well as their advantages and disadvantages. Finally, we report the available data repositories and recommend various approaches for protein family annotation related to phylogenetic distribution, structure prediction and metadata enrichment.
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Affiliation(s)
- Fotis A. Baltoumas
- Institute for Fundamental Biomedical Research, BSRC “Alexander Fleming”, Vari, Greece
- *Correspondence: Fotis A. Baltoumas, ; Nikos C. Kyrpides, ; Georgios A. Pavlopoulos,
| | - Evangelos Karatzas
- Institute for Fundamental Biomedical Research, BSRC “Alexander Fleming”, Vari, Greece
| | - David Paez-Espino
- Lawrence Berkeley National Laboratory, DOE Joint Genome Institute, Berkeley, CA, United States
| | - Nefeli K. Venetsianou
- Institute for Fundamental Biomedical Research, BSRC “Alexander Fleming”, Vari, Greece
| | - Eleni Aplakidou
- Institute for Fundamental Biomedical Research, BSRC “Alexander Fleming”, Vari, Greece
| | - Anastasis Oulas
- The Cyprus Institute of Neurology and Genetics, Nicosia, Cyprus
| | - Robert D. Finn
- European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Cambridge, United Kingdom
| | - Sergey Ovchinnikov
- John Harvard Distinguished Science Fellowship Program, Harvard University, Cambridge, MA, United States
| | - Evangelos Pafilis
- Institute of Marine Biology, Biotechnology and Aquaculture (IMBBC), Hellenic Centre for Marine Research (HCMR), Heraklion, Greece
| | - Nikos C. Kyrpides
- Lawrence Berkeley National Laboratory, DOE Joint Genome Institute, Berkeley, CA, United States
- *Correspondence: Fotis A. Baltoumas, ; Nikos C. Kyrpides, ; Georgios A. Pavlopoulos,
| | - Georgios A. Pavlopoulos
- Institute for Fundamental Biomedical Research, BSRC “Alexander Fleming”, Vari, Greece
- Center of New Biotechnologies and Precision Medicine, Department of Medicine, School of Health Sciences, National and Kapodistrian University of Athens, Athens, Greece
- Hellenic Army Academy, Vari, Greece
- *Correspondence: Fotis A. Baltoumas, ; Nikos C. Kyrpides, ; Georgios A. Pavlopoulos,
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13
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Yang TH, Hsu CW, Wang YX, Yu CH, Rathod J, Tseng YY, Wu WS. YMLA: A comparative platform to carry out functional enrichment analysis for multiple gene lists in yeast. Comput Biol Med 2022; 151:106314. [PMID: 36455295 DOI: 10.1016/j.compbiomed.2022.106314] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2022] [Revised: 10/23/2022] [Accepted: 11/13/2022] [Indexed: 11/16/2022]
Abstract
Comparative analysis among multiple gene lists on their functional features is now a routine task due to the advancement of high-throughput experiments. Several enrichment analysis tools were developed in the past. However, these tools mainly focus on one gene list and contain only gene ontology or interaction features. What makes it worse, comparative investigation and customized feature set reanalysis are still unavailable. Therefore, we constructed the YMLA (Yeast Multiple List Analyzer) platform in this research. YMLA includes 39 yeast features and facilitates comparative analysis among multiple gene lists via tabular views, heatmaps, and network plots. Moreover, the customized feature set reanalysis function was implemented in YMLA to help form mechanism hypotheses based on a selected enriched feature subset. We demonstrated the biological applicability of YMLA via example lists consisting of genes with top/bottom translation efficiency values. The analysis results provided by YMLA reveal novel facts consistent with previous experiments. YMLA is available at https://cosbi7.ee.ncku.edu.tw/YMLA/.
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Affiliation(s)
- Tzu-Hsien Yang
- Department of Biomedical Engineering, National Cheng Kung University, University Road, 701 Tainan, Taiwan.
| | - Chia-Wei Hsu
- Department of Electrical Engineering, National Cheng Kung University, University Road, 701 Tainan, Taiwan.
| | - Yan-Xiang Wang
- Department of Electrical Engineering, National Cheng Kung University, University Road, 701 Tainan, Taiwan.
| | - Chien-Hung Yu
- Department of Biochemistry and Molecular Biology, National Cheng Kung University, University Road, 701 Tainan, Taiwan.
| | - Jagat Rathod
- Department of Environmental Biotechnology, Gujarat Biotechnology University, Gujarat International Finance Tec (GIFT)-City, Gandhinagar 382355, Gujarat, India.
| | - Yan-Yuan Tseng
- Center for Molecular Medicine and Genetics, Wayne State University, School of Medicine, Detroit, MI 48201, USA.
| | - Wei-Sheng Wu
- Department of Electrical Engineering, National Cheng Kung University, University Road, 701 Tainan, Taiwan.
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14
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Zhang B, Chen Z, Sun Q, Liu J. Proteome-wide analyses reveal diverse functions of protein acetylation and succinylation modifications in fast growing stolons of bermudagrass (Cynodon dactylon L.). BMC PLANT BIOLOGY 2022; 22:503. [PMID: 36289454 PMCID: PMC9608919 DOI: 10.1186/s12870-022-03885-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/23/2022] [Accepted: 10/17/2022] [Indexed: 06/16/2023]
Abstract
BACKGROUND Bermudagrass (Cynodon dactylon L.) is an important warm-season turfgrass species with well-developed stolons, which lay the foundation for the fast propagation of bermudagrass plants through asexual clonal growth. However, the growth and development of bermudagrass stolons are still poorly understood at the molecular level. RESULTS In this study, we comprehensively analyzed the acetylation and succinylation modifications of proteins in fast-growing stolons of the bermudagrass cultivar Yangjiang. A total of 4657 lysine acetylation sites on 1914 proteins and 226 lysine succinylation sites on 128 proteins were successfully identified using liquid chromatography coupled to tandem mass spectrometry, respectively. Furthermore, 78 proteins and 81 lysine sites were found to be both acetylated and succinylated. Functional enrichment analysis revealed that acetylated proteins regulate diverse reactions of carbohydrate metabolism and protein turnover, whereas succinylated proteins mainly regulate the citrate cycle. These results partly explained the different growth disturbances of bermudagrass stolons under treatment with sodium butyrate and sodium malonate, which interfere with protein acetylation and succinylation, respectively. Moreover, 140 acetylated proteins and 42 succinylated proteins were further characterized having similarly modified orthologs in other grass species. Site-specific mutations combined with enzymatic activity assays indicated that the conserved acetylation of catalase and succinylation of malate dehydrogenase both inhibited their activities, further implying important regulatory roles of the two modifications. CONCLUSION In summary, our study implied that lysine acetylation and succinylation of proteins possibly play important regulatory roles in the fast growth of bermudagrass stolons. The results not only provide new insights into clonal growth of bermudagrass but also offer a rich resource for functional analyses of protein lysine acetylation and succinylation in plants.
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Affiliation(s)
- Bing Zhang
- College of Animal Science and Technology, Yangzhou University, Yangzhou, 225009, China.
| | - Zhuoting Chen
- College of Animal Science and Technology, Yangzhou University, Yangzhou, 225009, China
| | - Qixue Sun
- College of Animal Science and Technology, Yangzhou University, Yangzhou, 225009, China
| | - Jianxiu Liu
- Institute of Botany, Jiangsu Province and Chinese Academy of Sciences, Nanjing, 210014, China
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15
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Lougee MG, Pagar VV, Kim HJ, Pancoe SX, Chia WK, Mach RH, Garcia BA, Petersson EJ. Harnessing the intrinsic photochemistry of isoxazoles for the development of chemoproteomic crosslinking methods. Chem Commun (Camb) 2022; 58:9116-9119. [PMID: 35880535 PMCID: PMC9922157 DOI: 10.1039/d2cc02263j] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/01/2023]
Abstract
The intrinsic photochemistry of the isoxazole, a common heterocycle in medicinal chemistry, can be applied to offer an alternative to existing strategies using more perturbing, extrinsic photo-crosslinkers. The utility of isoxazole photo-crosslinking is demonstrated in a wide range of biologically relevant experiments, including common proteomics workflows.
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Affiliation(s)
- Marshall G. Lougee
- Department of Chemistry, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA
| | - Vinayak Vishnu Pagar
- Department of Chemistry, University of Pennsylvania, Philadelphia, Pennsylvania, 19104, USA. .,Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, 19104, USA
| | - Hee Jong Kim
- Department of Biochemistry and Biophysics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104
| | - Samantha X. Pancoe
- Department of Chemistry, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA
| | - W. Kit Chia
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA
| | - Robert H. Mach
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA
| | - Benjamin A. Garcia
- Department of Biochemistry and Biophysics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104
| | - E. James Petersson
- Department of Chemistry, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA
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16
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Protein Panel of Serum-Derived Small Extracellular Vesicles for the Screening and Diagnosis of Epithelial Ovarian Cancer. Cancers (Basel) 2022; 14:cancers14153719. [PMID: 35954383 PMCID: PMC9367436 DOI: 10.3390/cancers14153719] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2022] [Revised: 07/15/2022] [Accepted: 07/20/2022] [Indexed: 02/04/2023] Open
Abstract
Although ovarian cancer, a gynecological malignancy, has the highest fatality rate, it still lacks highly specific biomarkers, and the differential diagnosis of ovarian masses remains difficult to determine for gynecologists. Our study aimed to obtain ovarian cancer-specific protein candidates from the circulating small extracellular vesicles (sEVs) and develop a protein panel for ovarian cancer screening and differential diagnosis of ovarian masses. In our study, sEVs derived from the serum of healthy controls and patients with cystadenoma and ovarian cancer were investigated to obtain a cancer-specific proteomic profile. In a discovery cohort, 1119 proteins were identified, and significant differences in the protein profiles of EVs were observed among groups. Then, 23 differentially expressed proteins were assessed using the parallel reaction monitoring in a validation cohort. Through univariate and multivariate logistic regression analyses, a novel model comprising three proteins (fibrinogen gamma gene (FGG), mucin 16 (MUC16), and apolipoprotein (APOA4)) was established to screen patients with ovarian cancer. This model exhibited an area under the receiver operating characteristic curve (AUC) of 0.936 (95% CI, 0.888–0.984) with 92.0% sensitivity and 82.9% specificity. Another panel comprising serum CA125, sEV-APOA4, and sEV-CD5L showed excellent performance (AUC 0.945 (95% CI, 0.890–1.000), sensitivity of 88.0%, specificity of 93.3%, and accuracy of 89.2%) to distinguish malignancy from benign ovarian masses. Altogether, our study provided a proteomic signature of circulating sEVs in ovarian cancer. The diagnostic proteomic panel may complement current clinical diagnostic measures for screening ovarian cancer in the general population and the differential diagnosis of ovarian masses.
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17
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Tamposis IA, Manios GA, Charitou T, Vennou KE, Kontou PI, Bagos PG. MAGE: An Open-Source Tool for Meta-Analysis of Gene Expression Studies. BIOLOGY 2022; 11:biology11060895. [PMID: 35741417 PMCID: PMC9220151 DOI: 10.3390/biology11060895] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/12/2022] [Revised: 06/05/2022] [Accepted: 06/08/2022] [Indexed: 11/16/2022]
Abstract
MAGE (Meta-Analysis of Gene Expression) is a Python open-source software package designed to perform meta-analysis and functional enrichment analysis of gene expression data. We incorporate standard methods for the meta-analysis of gene expression studies, bootstrap standard errors, corrections for multiple testing, and meta-analysis of multiple outcomes. Importantly, the MAGE toolkit includes additional features for the conversion of probes to gene identifiers, and for conducting functional enrichment analysis, with annotated results, of statistically significant enriched terms in several formats. Along with the tool itself, a web-based infrastructure was also developed to support the features of this package.
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Affiliation(s)
- Ioannis A. Tamposis
- Department of Computer Science and Biomedical Informatics, University of Thessaly, 35131 Lamia, Greece; (I.A.T.); (G.A.M.); (T.C.); (K.E.V.)
| | - Georgios A. Manios
- Department of Computer Science and Biomedical Informatics, University of Thessaly, 35131 Lamia, Greece; (I.A.T.); (G.A.M.); (T.C.); (K.E.V.)
| | - Theodosia Charitou
- Department of Computer Science and Biomedical Informatics, University of Thessaly, 35131 Lamia, Greece; (I.A.T.); (G.A.M.); (T.C.); (K.E.V.)
| | - Konstantina E. Vennou
- Department of Computer Science and Biomedical Informatics, University of Thessaly, 35131 Lamia, Greece; (I.A.T.); (G.A.M.); (T.C.); (K.E.V.)
| | | | - Pantelis G. Bagos
- Department of Computer Science and Biomedical Informatics, University of Thessaly, 35131 Lamia, Greece; (I.A.T.); (G.A.M.); (T.C.); (K.E.V.)
- Correspondence:
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18
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In-depth Profiling and Quantification of the Lysine Acetylome in Hepatocellular Carcinoma with a Trapped Ion Mobility Mass Spectrometer. Mol Cell Proteomics 2022; 21:100255. [PMID: 35688384 PMCID: PMC9294201 DOI: 10.1016/j.mcpro.2022.100255] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2021] [Revised: 05/30/2022] [Accepted: 06/05/2022] [Indexed: 12/30/2022] Open
Abstract
Hepatocellular carcinoma (HCC) is the third most common cause of cancer-related death worldwide with limited therapeutic options. Comprehensive investigation of protein posttranslational modifications in HCC is still limited. Lysine acetylation is one of the most common types of posttranslational modification involved in many cellular processes and plays crucial roles in the regulation of cancer. In this study, we analyzed the proteome and K-acetylome in eight pairs of HCC tumors and normal adjacent tissues using a timsTOF Pro instrument. As a result, we identified 9219 K-acetylation sites in 2625 proteins, of which 1003 sites exhibited differential acetylation levels between tumors and normal adjacent tissues. Interestingly, many novel tumor-specific K-acetylation sites were characterized, for example, filamin A (K865), filamin B (K697), and cofilin (K19), suggesting altered activities of these cytoskeleton-modulating molecules, which may contribute to tumor metastasis. In addition, we observed an overall suppression of protein K-acetylation in HCC tumors, especially for enzymes from various metabolic pathways, for example, glycolysis, tricarboxylic acid cycle, and fatty acid metabolism. Moreover, the expression of deacetylase sirtuin 2 (SIRT2) was upregulated in HCC tumors, and its role of deacetylation in HCC cells was further explored by examining the impact of SIRT2 overexpression on the proteome and K-acetylome in Huh7 HCC cells. SIRT2 overexpression reduced K-acetylation of proteins involved in a wide range of cellular processes, including energy metabolism. Furthermore, cellular assays showed that overexpression of SIRT2 in HCC cells inhibited both glycolysis and oxidative phosphorylation. Taken together, our findings provide valuable information to better understand the roles of K-acetylation in HCC and to treat this disease by correcting the aberrant acetylation patterns. K-acetylation was generally reduced in HCC, especially in metabolic enzymes. Deacetylase SIRT2 was upregulated in HCC tumors. SIRT2 overexpression induced broad alteration of protein K-acetylation. SIRT2 overexpression inhibited glycolysis and oxidative phosphorylation.
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19
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Darling: A Web Application for Detecting Disease-Related Biomedical Entity Associations with Literature Mining. Biomolecules 2022; 12:biom12040520. [PMID: 35454109 PMCID: PMC9028073 DOI: 10.3390/biom12040520] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2022] [Revised: 03/24/2022] [Accepted: 03/28/2022] [Indexed: 12/15/2022] Open
Abstract
Finding, exploring and filtering frequent sentence-based associations between a disease and a biomedical entity, co-mentioned in disease-related PubMed literature, is a challenge, as the volume of publications increases. Darling is a web application, which utilizes Name Entity Recognition to identify human-related biomedical terms in PubMed articles, mentioned in OMIM, DisGeNET and Human Phenotype Ontology (HPO) disease records, and generates an interactive biomedical entity association network. Nodes in this network represent genes, proteins, chemicals, functions, tissues, diseases, environments and phenotypes. Users can search by identifiers, terms/entities or free text and explore the relevant abstracts in an annotated format.
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20
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Balogh D, Eckel K, Fetzer C, Sieber SA. Listeria monocytogenes utilizes the ClpP1/2 proteolytic machinery for fine-tuned substrate degradation at elevated temperatures. RSC Chem Biol 2022; 3:955-971. [PMID: 35866172 PMCID: PMC9257651 DOI: 10.1039/d2cb00077f] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2022] [Accepted: 05/30/2022] [Indexed: 11/21/2022] Open
Abstract
Listeria monocytogenes exhibits two ClpP isoforms (ClpP1/ClpP2) which assemble into a heterooligomeric complex with enhanced proteolytic activity. Herein, we demonstrate that the formation of this complex depends on temperature and reaches a maximum ratio of about 1 : 1 at 30 °C, while almost no complex formation occurred below 4 °C. In order to decipher the role of the two isoforms at elevated temperatures, we constructed L. monocytogenes ClpP1, ClpP2 and ClpP1/2 knockout strains and analyzed their protein regulation in comparison to the wild type (WT) strain via whole proteome mass-spectrometry (MS) at 37 °C and 42 °C. While the ΔclpP1 strain only altered the expression of very few proteins, the ΔclpP2 and ΔclpP1/2 strains revealed the dysregulation of many proteins at both temperatures. These effects were corroborated by crosslinking co-immunoprecipitation MS analysis. Thus, while ClpP1 serves as a mere enhancer of protein degradation in the heterocomplex, ClpP2 is essential for ClpX binding and functions as a gatekeeper for substrate entry. Applying an integrated proteomic approach combining whole proteome and co-immunoprecipitation datasets, several putative ClpP2 substrates were identified in the context of different temperatures and discussed with regards to their function in cellular pathways such as the SOS response. Unlike most bacteria, L. monocytogenes encodes 2 isoforms of Caseinolytic Protease P. Balogh et al. show that both proteins form a heterocomplex temperature-dependently and find protein substrate candidates with an integrated proteomic approach.![]()
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Affiliation(s)
- Dóra Balogh
- Center for Functional Protein Assemblies (CPA), Department of Chemistry, Chair of Organic Chemistry II, Technische Universität München 85748 Garching Germany
| | - Konstantin Eckel
- Center for Functional Protein Assemblies (CPA), Department of Chemistry, Chair of Organic Chemistry II, Technische Universität München 85748 Garching Germany
| | - Christian Fetzer
- Center for Functional Protein Assemblies (CPA), Department of Chemistry, Chair of Organic Chemistry II, Technische Universität München 85748 Garching Germany
| | - Stephan A Sieber
- Center for Functional Protein Assemblies (CPA), Department of Chemistry, Chair of Organic Chemistry II, Technische Universität München 85748 Garching Germany
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21
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Aasebø E, Brenner AK, Hernandez-Valladares M, Birkeland E, Mjaavatten O, Reikvam H, Selheim F, Berven FS, Bruserud Ø. Patient Heterogeneity in Acute Myeloid Leukemia: Leukemic Cell Communication by Release of Soluble Mediators and Its Effects on Mesenchymal Stem Cells. Diseases 2021; 9:diseases9040074. [PMID: 34698165 PMCID: PMC8544451 DOI: 10.3390/diseases9040074] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2021] [Revised: 10/12/2021] [Accepted: 10/13/2021] [Indexed: 01/01/2023] Open
Abstract
Acute myeloid leukemia (AML) is an aggressive bone marrow malignancy, and non-leukemic stromal cells (including mesenchymal stem cells, MSCs) are involved in leukemogenesis and show AML-supporting effects. We investigated how constitutive extracellular mediator release by primary human AML cells alters proteomic profiles of normal bone marrow MSCs. An average of 6814 proteins (range 6493−6918 proteins) were quantified for 41 MSC cultures supplemented with AML-cell conditioned medium, whereas an average of 6715 proteins (range 6703−6722) were quantified for untreated control MSCs. The AML effect on global MSC proteomic profiles varied between patients. Hierarchical clustering analysis identified 10 patients (5/10 secondary AML) showing more extensive AML-effects on the MSC proteome, whereas the other 31 patients clustered together with the untreated control MSCs and showed less extensive AML-induced effects. These two patient subsets differed especially with regard to MSC levels of extracellular matrix and mitochondrial/metabolic regulatory proteins. Less than 10% of MSC proteins were significantly altered by the exposure to AML-conditioned media; 301 proteins could only be quantified after exposure to conditioned medium and 201 additional proteins were significantly altered compared with the levels in control samples (153 increased, 48 decreased). The AML-modulated MSC proteins formed several interacting networks mainly reflecting intracellular organellar structure/trafficking but also extracellular matrix/cytokine signaling, and a single small network reflecting altered DNA replication. Our results suggest that targeting of intracellular trafficking and/or intercellular communication is a possible therapeutic strategy in AML.
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Affiliation(s)
- Elise Aasebø
- Department of Clinical Science, University of Bergen, 5020 Bergen, Norway; (E.A.); (A.K.B.); (H.R.)
- The Proteomics Facility of the University of Bergen (PROBE), University of Bergen, 5020 Bergen, Norway; (M.H.-V.); (E.B.); (O.M.); (F.S.); (F.S.B.)
| | - Annette K. Brenner
- Department of Clinical Science, University of Bergen, 5020 Bergen, Norway; (E.A.); (A.K.B.); (H.R.)
| | - Maria Hernandez-Valladares
- The Proteomics Facility of the University of Bergen (PROBE), University of Bergen, 5020 Bergen, Norway; (M.H.-V.); (E.B.); (O.M.); (F.S.); (F.S.B.)
| | - Even Birkeland
- The Proteomics Facility of the University of Bergen (PROBE), University of Bergen, 5020 Bergen, Norway; (M.H.-V.); (E.B.); (O.M.); (F.S.); (F.S.B.)
| | - Olav Mjaavatten
- The Proteomics Facility of the University of Bergen (PROBE), University of Bergen, 5020 Bergen, Norway; (M.H.-V.); (E.B.); (O.M.); (F.S.); (F.S.B.)
| | - Håkon Reikvam
- Department of Clinical Science, University of Bergen, 5020 Bergen, Norway; (E.A.); (A.K.B.); (H.R.)
- Department of Medicine, Haukeland University Hospital, 5021 Bergen, Norway
| | - Frode Selheim
- The Proteomics Facility of the University of Bergen (PROBE), University of Bergen, 5020 Bergen, Norway; (M.H.-V.); (E.B.); (O.M.); (F.S.); (F.S.B.)
| | - Frode S. Berven
- The Proteomics Facility of the University of Bergen (PROBE), University of Bergen, 5020 Bergen, Norway; (M.H.-V.); (E.B.); (O.M.); (F.S.); (F.S.B.)
| | - Øystein Bruserud
- Department of Clinical Science, University of Bergen, 5020 Bergen, Norway; (E.A.); (A.K.B.); (H.R.)
- Department of Medicine, Haukeland University Hospital, 5021 Bergen, Norway
- Correspondence:
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Baltoumas FA, Zafeiropoulou S, Karatzas E, Paragkamian S, Thanati F, Iliopoulos I, Eliopoulos AG, Schneider R, Jensen LJ, Pafilis E, Pavlopoulos GA. OnTheFly 2.0: a text-mining web application for automated biomedical entity recognition, document annotation, network and functional enrichment analysis. NAR Genom Bioinform 2021; 3:lqab090. [PMID: 34632381 PMCID: PMC8494211 DOI: 10.1093/nargab/lqab090] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2021] [Revised: 09/09/2021] [Accepted: 09/20/2021] [Indexed: 02/06/2023] Open
Abstract
Extracting and processing information from documents is of great importance as lots of experimental results and findings are stored in local files. Therefore, extracting and analyzing biomedical terms from such files in an automated way is absolutely necessary. In this article, we present OnTheFly2.0, a web application for extracting biomedical entities from individual files such as plain texts, office documents, PDF files or images. OnTheFly2.0 can generate informative summaries in popup windows containing knowledge related to the identified terms along with links to various databases. It uses the EXTRACT tagging service to perform named entity recognition (NER) for genes/proteins, chemical compounds, organisms, tissues, environments, diseases, phenotypes and gene ontology terms. Multiple files can be analyzed, whereas identified terms such as proteins or genes can be explored through functional enrichment analysis or be associated with diseases and PubMed entries. Finally, protein-protein and protein-chemical networks can be generated with the use of STRING and STITCH services. To demonstrate its capacity for knowledge discovery, we interrogated published meta-analyses of clinical biomarkers of severe COVID-19 and uncovered inflammatory and senescence pathways that impact disease pathogenesis. OnTheFly2.0 currently supports 197 species and is available at http://bib.fleming.gr:3838/OnTheFly/ and http://onthefly.pavlopouloslab.info.
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Affiliation(s)
- Fotis A Baltoumas
- Institute for Fundamental Biomedical Research, Biomedical Sciences Research Center "Alexander Fleming", Vari 16672, Greece
| | - Sofia Zafeiropoulou
- Institute for Fundamental Biomedical Research, Biomedical Sciences Research Center "Alexander Fleming", Vari 16672, Greece
| | - Evangelos Karatzas
- Institute for Fundamental Biomedical Research, Biomedical Sciences Research Center "Alexander Fleming", Vari 16672, Greece
| | - Savvas Paragkamian
- Institute of Marine Biology, Biotechnology and Aquaculture (IMBBC), Hellenic Centre for Marine Research (HCMR), Former U.S. Base of Gournes P.O. Box 2214, 71003 Heraklion, Crete, Greece
| | - Foteini Thanati
- Institute for Fundamental Biomedical Research, Biomedical Sciences Research Center "Alexander Fleming", Vari 16672, Greece
| | - Ioannis Iliopoulos
- Department of Basic Sciences, School of Medicine, University of Crete, Heraklion 71003, Crete, Greece
| | - Aristides G Eliopoulos
- Department of Biology, School of Medicine, National and Kapodistrian University of Athens, Athens, 70013, Greece
| | - Reinhard Schneider
- University of Luxembourg, Luxembourg Centre for Systems Biomedicine, Bioinformatics Core, Esch-sur-Alzette, L-4365, Luxembourg
| | - Lars Juhl Jensen
- Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, 2200, Denmark
| | - Evangelos Pafilis
- Institute of Marine Biology, Biotechnology and Aquaculture (IMBBC), Hellenic Centre for Marine Research (HCMR), Former U.S. Base of Gournes P.O. Box 2214, 71003 Heraklion, Crete, Greece
| | - Georgios A Pavlopoulos
- Institute for Fundamental Biomedical Research, Biomedical Sciences Research Center "Alexander Fleming", Vari 16672, Greece
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Liang YJ, Yang YR, Tao CY, Yang SH, Zhang XX, Yuan J, Deng YH, Zhong ZQ, Yu SG, Xiong XY. Deep Succinylproteomics of Brain Tissues from Intracerebral Hemorrhage with Inhibition of Toll-Like Receptor 4 Signaling. Cell Mol Neurobiol 2021; 42:2791-2804. [PMID: 34460038 DOI: 10.1007/s10571-021-01144-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2021] [Accepted: 08/25/2021] [Indexed: 02/08/2023]
Abstract
It is unclear how Toll-like receptor (TLR) 4 signaling affects protein succinylation in the brain after intracerebral hemorrhage (ICH). Here, we constructed a mouse ICH model to investigate the changes in ICH-associated brain protein succinylation, following a treatment with a TLR4 antagonist, TAK242, using a high-resolution mass spectrometry-based, quantitative succinyllysine proteomics approach. We characterized the prevalence of approximately 6700 succinylation events and quantified approximately 3500 sites, highlighting 139 succinyllysine site changes in 40 pathways. Further analysis showed that TAK242 treatment induced an increase of 29 succinyllysine sites on 28 succinylated proteins and a reduction of 24 succinyllysine sites on 23 succinylated proteins in the ICH brains. TAK242 treatment induced both protein hypersuccinylations and hyposuccinylations, which were mainly located in the mitochondria and cytoplasm. GO analysis showed that TAK242 treatment-induced changes in the ICH-associated succinylated proteins were mostly located in synapses, membranes and vesicles, and enriched in many cellular functions/compartments, such as metabolism, synapse, and myelin. KEGG analysis showed that TAK242-induced hyposuccinylation was mainly linked to fatty acid metabolism, including elongation and degradation. Moreover, a combined analysis of the succinylproteomic data with previously published transcriptome data revealed that most of the differentially succinylated proteins induced by TAK242 treatment were mainly distributed throughout neurons, astrocytes, and endothelial cells, and the mRNAs of seven and three succinylated proteins were highly expressed in neurons and astrocytes, respectively. In conclusion, we revealed that several TLR4 signaling pathways affect the succinylation processes and pathways in mouse ICH brains, providing new insights on the ICH pathophysiological processes. Data are available via ProteomeXchange with identifier PXD025622.
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Affiliation(s)
- Yan-Jing Liang
- Acupuncture and Tuina School/Third Teaching Hospital, Chengdu University of Traditional Chinese Medicine, 37 Shierqiao Road, Chengdu, 610075, China
| | - Yuan-Rui Yang
- Department of Geriatrics, the General Hospital of Western Theater Command, Chengdu, Sichuan, China
| | - Chuan-Yuan Tao
- Department of Neurosurgery, West China Hospital, Sichuan University, Chengdu, China
| | - Su-Hao Yang
- Acupuncture and Tuina School/Third Teaching Hospital, Chengdu University of Traditional Chinese Medicine, 37 Shierqiao Road, Chengdu, 610075, China
| | - Xin-Xiao Zhang
- Acupuncture and Tuina School/Third Teaching Hospital, Chengdu University of Traditional Chinese Medicine, 37 Shierqiao Road, Chengdu, 610075, China
| | - Jing Yuan
- Acupuncture and Tuina School/Third Teaching Hospital, Chengdu University of Traditional Chinese Medicine, 37 Shierqiao Road, Chengdu, 610075, China
| | - Yuan-Hong Deng
- Acupuncture and Tuina School/Third Teaching Hospital, Chengdu University of Traditional Chinese Medicine, 37 Shierqiao Road, Chengdu, 610075, China
| | - Zhan-Qiong Zhong
- School of Basic Medical Sciences, Chengdu University of Traditional Chinese Medicine, 1166 Liutai Road, Chengdu, 611137, China
| | - Shu-Guang Yu
- Acupuncture and Tuina School/Third Teaching Hospital, Chengdu University of Traditional Chinese Medicine, 37 Shierqiao Road, Chengdu, 610075, China. .,Acupuncture & Chronobiology Key Laboratory of Sichuan Province, Chengdu, China.
| | - Xiao-Yi Xiong
- Acupuncture and Tuina School/Third Teaching Hospital, Chengdu University of Traditional Chinese Medicine, 37 Shierqiao Road, Chengdu, 610075, China. .,Acupuncture & Chronobiology Key Laboratory of Sichuan Province, Chengdu, China.
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Tortorelli G, Oakley CA, Davy SK, van Oppen MJH, McFadden GI. Cell wall proteomic analysis of the cnidarian photosymbionts Breviolum minutum and Cladocopium goreaui. J Eukaryot Microbiol 2021; 69:e12870. [PMID: 34448326 PMCID: PMC9293036 DOI: 10.1111/jeu.12870] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
The algal cell wall is an important cellular component that functions in defense, nutrient utilization, signaling, adhesion, and cell–cell recognition—processes important in the cnidarian–dinoflagellate symbiosis. The cell wall of symbiodiniacean dinoflagellates is not well characterized. Here, we present a method to isolate cell walls of Symbiodiniaceae and prepare cell‐wall‐enriched samples for proteomic analysis. Label‐free liquid chromatography–electrospray ionization tandem mass spectrometry was used to explore the surface proteome of two Symbiodiniaceae species from the Great Barrier Reef: Breviolum minutum and Cladocopium goreaui. Transporters, hydrolases, translocases, and proteins involved in cell‐adhesion and protein–protein interactions were identified, but the majority of cell wall proteins had no homologues in public databases. We propose roles for some of these proteins in the cnidarian–dinoflagellate symbiosis. This work provides the first proteomics investigation of cell wall proteins in the Symbiodiniaceae and represents a basis for future explorations of the roles of cell wall proteins in Symbiodiniaceae and other dinoflagellates.
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Affiliation(s)
- Giada Tortorelli
- School of Biosciences, The University of Melbourne, Melbourne, Vic, Australia
| | - Clinton A Oakley
- School of Biological Sciences, Victoria University of Wellington, Kelburn, New Zealand
| | - Simon K Davy
- School of Biological Sciences, Victoria University of Wellington, Kelburn, New Zealand
| | - Madeleine J H van Oppen
- School of Biosciences, The University of Melbourne, Melbourne, Vic, Australia.,Australian Institute of Marine Science, Townsville, Qld, Australia
| | - Geoffrey I McFadden
- School of Biosciences, The University of Melbourne, Melbourne, Vic, Australia
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Baltoumas FA, Zafeiropoulou S, Karatzas E, Koutrouli M, Thanati F, Voutsadaki K, Gkonta M, Hotova J, Kasionis I, Hatzis P, Pavlopoulos GA. Biomolecule and Bioentity Interaction Databases in Systems Biology: A Comprehensive Review. Biomolecules 2021; 11:1245. [PMID: 34439912 PMCID: PMC8391349 DOI: 10.3390/biom11081245] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2021] [Revised: 08/16/2021] [Accepted: 08/18/2021] [Indexed: 02/06/2023] Open
Abstract
Technological advances in high-throughput techniques have resulted in tremendous growth of complex biological datasets providing evidence regarding various biomolecular interactions. To cope with this data flood, computational approaches, web services, and databases have been implemented to deal with issues such as data integration, visualization, exploration, organization, scalability, and complexity. Nevertheless, as the number of such sets increases, it is becoming more and more difficult for an end user to know what the scope and focus of each repository is and how redundant the information between them is. Several repositories have a more general scope, while others focus on specialized aspects, such as specific organisms or biological systems. Unfortunately, many of these databases are self-contained or poorly documented and maintained. For a clearer view, in this article we provide a comprehensive categorization, comparison and evaluation of such repositories for different bioentity interaction types. We discuss most of the publicly available services based on their content, sources of information, data representation methods, user-friendliness, scope and interconnectivity, and we comment on their strengths and weaknesses. We aim for this review to reach a broad readership varying from biomedical beginners to experts and serve as a reference article in the field of Network Biology.
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Affiliation(s)
- Fotis A. Baltoumas
- Institute for Fundamental Biomedical Research, Biomedical Sciences Research Center “Alexander Fleming”, 16672 Vari, Greece; (S.Z.); (E.K.); (M.K.); (F.T.); (K.V.); (M.G.); (J.H.); (I.K.); (P.H.)
| | - Sofia Zafeiropoulou
- Institute for Fundamental Biomedical Research, Biomedical Sciences Research Center “Alexander Fleming”, 16672 Vari, Greece; (S.Z.); (E.K.); (M.K.); (F.T.); (K.V.); (M.G.); (J.H.); (I.K.); (P.H.)
| | - Evangelos Karatzas
- Institute for Fundamental Biomedical Research, Biomedical Sciences Research Center “Alexander Fleming”, 16672 Vari, Greece; (S.Z.); (E.K.); (M.K.); (F.T.); (K.V.); (M.G.); (J.H.); (I.K.); (P.H.)
| | - Mikaela Koutrouli
- Institute for Fundamental Biomedical Research, Biomedical Sciences Research Center “Alexander Fleming”, 16672 Vari, Greece; (S.Z.); (E.K.); (M.K.); (F.T.); (K.V.); (M.G.); (J.H.); (I.K.); (P.H.)
- Novo Nordisk Foundation Center for Protein Research, University of Copenhagen, 2200 Copenhagen, Denmark
| | - Foteini Thanati
- Institute for Fundamental Biomedical Research, Biomedical Sciences Research Center “Alexander Fleming”, 16672 Vari, Greece; (S.Z.); (E.K.); (M.K.); (F.T.); (K.V.); (M.G.); (J.H.); (I.K.); (P.H.)
| | - Kleanthi Voutsadaki
- Institute for Fundamental Biomedical Research, Biomedical Sciences Research Center “Alexander Fleming”, 16672 Vari, Greece; (S.Z.); (E.K.); (M.K.); (F.T.); (K.V.); (M.G.); (J.H.); (I.K.); (P.H.)
| | - Maria Gkonta
- Institute for Fundamental Biomedical Research, Biomedical Sciences Research Center “Alexander Fleming”, 16672 Vari, Greece; (S.Z.); (E.K.); (M.K.); (F.T.); (K.V.); (M.G.); (J.H.); (I.K.); (P.H.)
| | - Joana Hotova
- Institute for Fundamental Biomedical Research, Biomedical Sciences Research Center “Alexander Fleming”, 16672 Vari, Greece; (S.Z.); (E.K.); (M.K.); (F.T.); (K.V.); (M.G.); (J.H.); (I.K.); (P.H.)
| | - Ioannis Kasionis
- Institute for Fundamental Biomedical Research, Biomedical Sciences Research Center “Alexander Fleming”, 16672 Vari, Greece; (S.Z.); (E.K.); (M.K.); (F.T.); (K.V.); (M.G.); (J.H.); (I.K.); (P.H.)
| | - Pantelis Hatzis
- Institute for Fundamental Biomedical Research, Biomedical Sciences Research Center “Alexander Fleming”, 16672 Vari, Greece; (S.Z.); (E.K.); (M.K.); (F.T.); (K.V.); (M.G.); (J.H.); (I.K.); (P.H.)
- Center for New Biotechnologies and Precision Medicine, School of Medicine, National and Kapodistrian University of Athens, 11527 Athens, Greece
| | - Georgios A. Pavlopoulos
- Institute for Fundamental Biomedical Research, Biomedical Sciences Research Center “Alexander Fleming”, 16672 Vari, Greece; (S.Z.); (E.K.); (M.K.); (F.T.); (K.V.); (M.G.); (J.H.); (I.K.); (P.H.)
- Center for New Biotechnologies and Precision Medicine, School of Medicine, National and Kapodistrian University of Athens, 11527 Athens, Greece
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Thanati F, Karatzas E, Baltoumas FA, Stravopodis DJ, Eliopoulos AG, Pavlopoulos GA. FLAME: A Web Tool for Functional and Literature Enrichment Analysis of Multiple Gene Lists. BIOLOGY 2021; 10:665. [PMID: 34356520 PMCID: PMC8301326 DOI: 10.3390/biology10070665] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/15/2021] [Revised: 07/08/2021] [Accepted: 07/09/2021] [Indexed: 12/12/2022]
Abstract
Functional enrichment is a widely used method for interpreting experimental results by identifying classes of proteins/genes associated with certain biological functions, pathways, diseases, or phenotypes. Despite the variety of existing tools, most of them can process a single list per time, thus making a more combinatorial analysis more complicated and prone to errors. In this article, we present FLAME, a web tool for combining multiple lists prior to enrichment analysis. Users can upload several lists and use interactive UpSet plots, as an alternative to Venn diagrams, to handle unions or intersections among the given input files. Functional and literature enrichment, along with gene conversions, are offered by g:Profiler and aGOtool applications for 197 organisms. FLAME can analyze genes/proteins for related articles, Gene Ontologies, pathways, annotations, regulatory motifs, domains, diseases, and phenotypes, and can also generate protein-protein interactions derived from STRING. We have validated FLAME by interrogating gene expression data associated with the sensitivity of the distal part of the large intestine to experimental colitis-propelled colon cancer. FLAME comes with an interactive user-friendly interface for easy list manipulation and exploration, while results can be visualized as interactive and parameterizable heatmaps, barcharts, Manhattan plots, networks, and tables.
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Affiliation(s)
- Foteini Thanati
- Institute for Fundamental Biomedical Research, BSRC “Alexander Fleming”, 16672 Vari, Greece; (F.T.); (E.K.); (F.A.B.)
| | - Evangelos Karatzas
- Institute for Fundamental Biomedical Research, BSRC “Alexander Fleming”, 16672 Vari, Greece; (F.T.); (E.K.); (F.A.B.)
| | - Fotis A. Baltoumas
- Institute for Fundamental Biomedical Research, BSRC “Alexander Fleming”, 16672 Vari, Greece; (F.T.); (E.K.); (F.A.B.)
| | - Dimitrios J. Stravopodis
- Department of Biology, School of Sciences, National and Kapodistrian University of Athens, 15701 Athens, Greece;
| | - Aristides G. Eliopoulos
- Department of Biology, School of Medicine, National and Kapodistrian University of Athens, 11527 Athens, Greece;
- Center for New Biotechnologies and Precision Medicine, School of Medicine, National and Kapodistrian University of Athens, 11527 Athens, Greece
- Center of Basic Research, Biomedical Research Foundation of the Academy of Athens, 11527 Athens, Greece
| | - Georgios A. Pavlopoulos
- Institute for Fundamental Biomedical Research, BSRC “Alexander Fleming”, 16672 Vari, Greece; (F.T.); (E.K.); (F.A.B.)
- Center for New Biotechnologies and Precision Medicine, School of Medicine, National and Kapodistrian University of Athens, 11527 Athens, Greece
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The Mystery of Extramitochondrial Proteins Lysine Succinylation. Int J Mol Sci 2021; 22:ijms22116085. [PMID: 34199982 PMCID: PMC8200203 DOI: 10.3390/ijms22116085] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2021] [Revised: 05/31/2021] [Accepted: 06/02/2021] [Indexed: 12/19/2022] Open
Abstract
Lysine succinylation is a post-translational modification which alters protein function in both physiological and pathological processes. Mindful that it requires succinyl-CoA, a metabolite formed within the mitochondrial matrix that cannot permeate the inner mitochondrial membrane, the question arises as to how there can be succinylation of proteins outside mitochondria. The present mini-review examines pathways participating in peroxisomal fatty acid oxidation that lead to succinyl-CoA production, potentially supporting succinylation of extramitochondrial proteins. Furthermore, the influence of the mitochondrial status on cytosolic NAD+ availability affecting the activity of cytosolic SIRT5 iso1 and iso4—in turn regulating cytosolic protein lysine succinylations—is presented. Finally, the discovery that glia in the adult human brain lack subunits of both alpha-ketoglutarate dehydrogenase complex and succinate-CoA ligase—thus being unable to produce succinyl-CoA in the matrix—and yet exhibit robust pancellular lysine succinylation, is highlighted.
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Aasebø E, Brenner AK, Hernandez-Valladares M, Birkeland E, Berven FS, Selheim F, Bruserud Ø. Proteomic Comparison of Bone Marrow Derived Osteoblasts and Mesenchymal Stem Cells. Int J Mol Sci 2021; 22:ijms22115665. [PMID: 34073480 PMCID: PMC8198503 DOI: 10.3390/ijms22115665] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2021] [Revised: 05/21/2021] [Accepted: 05/22/2021] [Indexed: 02/07/2023] Open
Abstract
Mesenchymal stem cells (MSCs) can differentiate into osteoblasts, and therapeutic targeting of these cells is considered both for malignant and non-malignant diseases. We analyzed global proteomic profiles for osteoblasts derived from ten and MSCs from six healthy individuals, and we quantified 5465 proteins for the osteoblasts and 5420 proteins for the MSCs. There was a large overlap in the profiles for the two cell types; 156 proteins were quantified only in osteoblasts and 111 proteins only for the MSCs. The osteoblast-specific proteins included several extracellular matrix proteins and a network including 27 proteins that influence intracellular signaling (Wnt/Notch/Bone morphogenic protein pathways) and bone mineralization. The osteoblasts and MSCs showed only minor age- and sex-dependent proteomic differences. Finally, the osteoblast and MSC proteomic profiles were altered by ex vivo culture in serum-free media. We conclude that although the proteomic profiles of osteoblasts and MSCs show many similarities, we identified several osteoblast-specific extracellular matrix proteins and an osteoblast-specific intracellular signaling network. Therapeutic targeting of these proteins will possibly have minor effects on MSCs. Furthermore, the use of ex vivo cultured osteoblasts/MSCs in clinical medicine will require careful standardization of the ex vivo handling of the cells.
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Affiliation(s)
- Elise Aasebø
- Department of Clinical Science, University of Bergen, 5020 Bergen, Norway; (E.A.); (A.K.B.)
- Proteomics Facility of the University of Bergen (PROBE), University of Bergen, 5020 Bergen, Norway; (M.H.-V.); (E.B.); (F.S.B.); (F.S.)
| | - Annette K. Brenner
- Department of Clinical Science, University of Bergen, 5020 Bergen, Norway; (E.A.); (A.K.B.)
| | - Maria Hernandez-Valladares
- Proteomics Facility of the University of Bergen (PROBE), University of Bergen, 5020 Bergen, Norway; (M.H.-V.); (E.B.); (F.S.B.); (F.S.)
| | - Even Birkeland
- Proteomics Facility of the University of Bergen (PROBE), University of Bergen, 5020 Bergen, Norway; (M.H.-V.); (E.B.); (F.S.B.); (F.S.)
| | - Frode S. Berven
- Proteomics Facility of the University of Bergen (PROBE), University of Bergen, 5020 Bergen, Norway; (M.H.-V.); (E.B.); (F.S.B.); (F.S.)
| | - Frode Selheim
- Proteomics Facility of the University of Bergen (PROBE), University of Bergen, 5020 Bergen, Norway; (M.H.-V.); (E.B.); (F.S.B.); (F.S.)
| | - Øystein Bruserud
- Department of Clinical Science, University of Bergen, 5020 Bergen, Norway; (E.A.); (A.K.B.)
- Department of Medicine, Haukeland University Hospital, 5021 Bergen, Norway
- Correspondence:
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Proteomic Studies of Primary Acute Myeloid Leukemia Cells Derived from Patients Before and during Disease-Stabilizing Treatment Based on All-Trans Retinoic Acid and Valproic Acid. Cancers (Basel) 2021; 13:cancers13092143. [PMID: 33946813 PMCID: PMC8125016 DOI: 10.3390/cancers13092143] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2021] [Revised: 04/16/2021] [Accepted: 04/20/2021] [Indexed: 12/18/2022] Open
Abstract
All-trans retinoic acid (ATRA) and valproic acid (VP) have been tried in the treatment of non-promyelocytic variants of acute myeloid leukemia (AML). Non-randomized studies suggest that the two drugs can stabilize AML and improve normal peripheral blood cell counts. In this context, we used a proteomic/phosphoproteomic strategy to investigate the in vivo effects of ATRA/VP on human AML cells. Before starting the combined treatment, AML responders showed increased levels of several proteins, especially those involved in neutrophil degranulation/differentiation, M phase regulation and the interconversion of nucleotide di- and triphosphates (i.e., DNA synthesis and binding). Several among the differentially regulated phosphorylation sites reflected differences in the regulation of RNA metabolism and apoptotic events at the same time point. These effects were mainly caused by increased cyclin dependent kinase 1 and 2 (CDK1/2), LIM domain kinase 1 and 2 (LIMK1/2), mitogen-activated protein kinase 7 (MAPK7) and protein kinase C delta (PRKCD) activity in responder cells. An extensive effect of in vivo treatment with ATRA/VP was the altered level and phosphorylation of proteins involved in the regulation of transcription/translation/RNA metabolism, especially in non-responders, but the regulation of cell metabolism, immune system and cytoskeletal functions were also affected. Our analysis of serial samples during the first week of treatment suggest that proteomic and phosphoproteomic profiling can be used for the early identification of responders to ATRA/VP-based treatment.
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Aasebø E, Brenner AK, Birkeland E, Tvedt THA, Selheim F, Berven FS, Bruserud Ø. The Constitutive Extracellular Protein Release by Acute Myeloid Leukemia Cells-A Proteomic Study of Patient Heterogeneity and Its Modulation by Mesenchymal Stromal Cells. Cancers (Basel) 2021; 13:cancers13071509. [PMID: 33806032 PMCID: PMC8037744 DOI: 10.3390/cancers13071509] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2021] [Revised: 03/22/2021] [Accepted: 03/23/2021] [Indexed: 12/20/2022] Open
Abstract
Simple Summary The formation of normal blood cells in the bone marrow is supported by a network of non-hematopoietic cells including connective tissue cells, blood vessel cells and bone-forming cells. These cell types support and regulate the growth of acute myeloid leukemia (AML) cells and communicate with leukemic cells through the release of proteins to their common extracellular microenvironment. One of the AML-supporting normal cell types is a subset of connective tissue cells called mesenchymal stem cells. In the present study, we observed that AML cells release a wide range of diverse proteins into their microenvironment, but patients differ both with regard to the number and amount of released proteins. Inhibition of this bidirectional communication through protein release between AML cells and leukemia-supporting normal cells may become a new strategy for cancer treatment. Abstract Extracellular protein release is important both for the formation of extracellular matrix and for communication between cells. We investigated the extracellular protein release by in vitro cultured normal mesenchymal stem cells (MSCs) and by primary human acute myeloid leukemia (AML) cells derived from 40 consecutive patients. We observed quantifiable levels of 3082 proteins in our study; for the MSCs, we detected 1446 proteins, whereas the number of released proteins for the AML cells showed wide variation between patients (average number 1699, range 557–2380). The proteins were derived from various cellular compartments (e.g., cell membrane, nucleus, and cytoplasms), several organelles (e.g., cytoskeleton, endoplasmatic reticulum, Golgi apparatus, and mitochondria) and had various functions (e.g., extracellular matrix and exosomal proteins, cytokines, soluble adhesion molecules, protein synthesis, post-transcriptional modulation, RNA binding, and ribonuclear proteins). Thus, AML patients were very heterogeneous both regarding the number of proteins and the nature of their extracellularly released proteins. The protein release profiles of MSCs and primary AML cells show a considerable overlap, but a minority of the proteins are released only or mainly by the MSC, including several extracellular matrix molecules. Taken together, our observations suggest that the protein profile of the extracellular bone marrow microenvironment differs between AML patients, these differences are mainly caused by the protein release by the leukemic cells but this leukemia-associated heterogeneity of the overall extracellular protein profile is modulated by the constitutive protein release by normal MSCs.
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Affiliation(s)
- Elise Aasebø
- Department of Clinical Science, University of Bergen, 5021 Bergen, Norway; (E.A.); (A.K.B.)
- The Proteomics Facility of the University of Bergen (PROBE), University of Bergen, 5009 Bergen, Norway; (E.B.); (F.S.); (F.S.B.)
| | - Annette K. Brenner
- Department of Clinical Science, University of Bergen, 5021 Bergen, Norway; (E.A.); (A.K.B.)
| | - Even Birkeland
- The Proteomics Facility of the University of Bergen (PROBE), University of Bergen, 5009 Bergen, Norway; (E.B.); (F.S.); (F.S.B.)
| | | | - Frode Selheim
- The Proteomics Facility of the University of Bergen (PROBE), University of Bergen, 5009 Bergen, Norway; (E.B.); (F.S.); (F.S.B.)
| | - Frode S. Berven
- The Proteomics Facility of the University of Bergen (PROBE), University of Bergen, 5009 Bergen, Norway; (E.B.); (F.S.); (F.S.B.)
| | - Øystein Bruserud
- The Proteomics Facility of the University of Bergen (PROBE), University of Bergen, 5009 Bergen, Norway; (E.B.); (F.S.); (F.S.B.)
- Department of Medicine, Haukeland University Hospital, 5021 Bergen, Norway;
- Correspondence: or
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Aasebø E, Birkeland E, Selheim F, Berven F, Brenner AK, Bruserud Ø. The Extracellular Bone Marrow Microenvironment-A Proteomic Comparison of Constitutive Protein Release by In Vitro Cultured Osteoblasts and Mesenchymal Stem Cells. Cancers (Basel) 2020; 13:cancers13010062. [PMID: 33379263 PMCID: PMC7795818 DOI: 10.3390/cancers13010062] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2020] [Revised: 12/22/2020] [Accepted: 12/23/2020] [Indexed: 02/06/2023] Open
Abstract
Simple Summary Normal blood cells are formed in the bone marrow by a process called hematopoiesis. This process is supported by a network of non-hematopoietic cells including connective tissue cells, blood vessel cells and bone-forming cells. However, these cells can also support the growth of cancer cells, i.e., hematological malignancies (e.g., leukemias) and cancers that arise in another organ and spread to the bone marrow. Two of these cancer-supporting normal cells are bone-forming osteoblasts and a subset of connective tissue cells called mesenchymal stem cells. One mechanism for their cancer support is the release of proteins that support cancer cell proliferation and progression of the cancer disease. Our present study shows that both these normal cells release a wide range of proteins that support cancer cells, and inhibition of this protein-mediated cancer support may become a new strategy for cancer treatment. Abstract Mesenchymal stem cells (MSCs) and osteoblasts are bone marrow stromal cells that contribute to the formation of stem cell niches and support normal hematopoiesis, leukemogenesis and development of metastases from distant cancers. This support is mediated through cell–cell contact, release of soluble mediators and formation of extracellular matrix. By using a proteomic approach, we characterized the protein release by in vitro cultured human MSCs (10 donors) and osteoblasts (nine donors). We identified 1379 molecules released by these cells, including 340 proteins belonging to the GO-term Extracellular matrix. Both cell types released a wide range of functionally heterogeneous proteins including extracellular matrix molecules (especially collagens), several enzymes and especially proteases, cytokines and soluble adhesion molecules, but also several intracellular molecules including chaperones, cytoplasmic mediators, histones and non-histone nuclear molecules. The levels of most proteins did not differ between MSCs and osteoblasts, but 82 proteins were more abundant for MSC (especially extracellular matrix proteins and proteases) and 36 proteins more abundant for osteoblasts. Finally, a large number of exosomal proteins were identified. To conclude, MSCs and osteoblasts show extracellular release of a wide range of functionally diverse proteins, including several extracellular matrix molecules known to support cancer progression (e.g., metastases from distant tumors, increased relapse risk for hematological malignancies), and the large number of identified exosomal proteins suggests that exocytosis is an important mechanism of protein release.
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Affiliation(s)
- Elise Aasebø
- Department of Clinical Science, University of Bergen, N-5021 Bergen, Norway; (E.A.); (A.K.B.)
| | - Even Birkeland
- The Proteomics Facility of the University of Bergen (PROBE), University of Bergen, N-5021 Bergen, Norway; (E.B.); (F.S.); (F.B.)
| | - Frode Selheim
- The Proteomics Facility of the University of Bergen (PROBE), University of Bergen, N-5021 Bergen, Norway; (E.B.); (F.S.); (F.B.)
| | - Frode Berven
- The Proteomics Facility of the University of Bergen (PROBE), University of Bergen, N-5021 Bergen, Norway; (E.B.); (F.S.); (F.B.)
| | - Annette K. Brenner
- Department of Clinical Science, University of Bergen, N-5021 Bergen, Norway; (E.A.); (A.K.B.)
| | - Øystein Bruserud
- Department of Clinical Science, University of Bergen, N-5021 Bergen, Norway; (E.A.); (A.K.B.)
- Department of Medicine, Haukeland University Hospital, N-5021 Bergen, Norway
- Correspondence: or ; Tel.: +47-5597-2997
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Biological characteristics of aging in human acute myeloid leukemia cells: the possible importance of aldehyde dehydrogenase, the cytoskeleton and altered transcriptional regulation. Aging (Albany NY) 2020; 12:24734-24777. [PMID: 33349623 PMCID: PMC7803495 DOI: 10.18632/aging.202361] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2020] [Accepted: 11/20/2020] [Indexed: 12/19/2022]
Abstract
Patients with acute myeloid leukemia (AML) have a median age of 65-70 years at diagnosis. Elderly patients have more chemoresistant disease, and this is partly due to decreased frequencies of favorable and increased frequencies of adverse genetic abnormalities. However, aging-dependent differences may also contribute. We therefore compared AML cell proteomic and phosphoproteomic profiles for (i) elderly low-risk and younger low-risk patients with favorable genetic abnormalities; and (ii) high-risk patients with adverse genetic abnormalities and a higher median age against all low-risk patients with lower median age. Elderly low-risk and younger low-risk patients showed mainly phosphoproteomic differences especially involving transcriptional regulators and cytoskeleton. When comparing high-risk and low-risk patients both proteomic and phosphoproteomic studies showed differences involving cytoskeleton and immunoregulation but also transcriptional regulation and cell division. The age-associated prognostic impact of cyclin-dependent kinases was dependent on the cellular context. The protein level of the adverse prognostic biomarker mitochondrial aldehyde dehydrogenase (ALDH2) showed a similar significant upregulation both in elderly low-risk and elderly high-risk patients. Our results suggest that molecular mechanisms associated with cellular aging influence chemoresistance of AML cells, and especially the cytoskeleton function may then influence cellular hallmarks of aging, e.g. mitosis, polarity, intracellular transport and adhesion.
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SUCLA2 mutations cause global protein succinylation contributing to the pathomechanism of a hereditary mitochondrial disease. Nat Commun 2020; 11:5927. [PMID: 33230181 PMCID: PMC7684291 DOI: 10.1038/s41467-020-19743-4] [Citation(s) in RCA: 30] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2020] [Accepted: 10/26/2020] [Indexed: 12/18/2022] Open
Abstract
Mitochondrial acyl-coenzyme A species are emerging as important sources of protein modification and damage. Succinyl-CoA ligase (SCL) deficiency causes a mitochondrial encephalomyopathy of unknown pathomechanism. Here, we show that succinyl-CoA accumulates in cells derived from patients with recessive mutations in the tricarboxylic acid cycle (TCA) gene succinyl-CoA ligase subunit-β (SUCLA2), causing global protein hyper-succinylation. Using mass spectrometry, we quantify nearly 1,000 protein succinylation sites on 366 proteins from patient-derived fibroblasts and myotubes. Interestingly, hyper-succinylated proteins are distributed across cellular compartments, and many are known targets of the (NAD+)-dependent desuccinylase SIRT5. To test the contribution of hyper-succinylation to disease progression, we develop a zebrafish model of the SCL deficiency and find that SIRT5 gain-of-function reduces global protein succinylation and improves survival. Thus, increased succinyl-CoA levels contribute to the pathology of SCL deficiency through post-translational modifications. The pathomechanism of succinyl-CoA ligase (SCL) deficiency, a hereditary mitochondrial disease, is not fully understood. Here, the authors show that increased succinyl-CoA levels contribute to SCL pathology by causing global protein hyper-succinylation.
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Chang RL, Stanley JA, Robinson MC, Sher JW, Li Z, Chan YA, Omdahl AR, Wattiez R, Godzik A, Matallana-Surget S. Protein structure, amino acid composition and sequence determine proteome vulnerability to oxidation-induced damage. EMBO J 2020; 39:e104523. [PMID: 33073387 PMCID: PMC7705453 DOI: 10.15252/embj.2020104523] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2020] [Revised: 09/16/2020] [Accepted: 09/22/2020] [Indexed: 02/05/2023] Open
Abstract
Oxidative stress alters cell viability, from microorganism irradiation sensitivity to human aging and neurodegeneration. Deleterious effects of protein carbonylation by reactive oxygen species (ROS) make understanding molecular properties determining ROS susceptibility essential. The radiation‐resistant bacterium Deinococcus radiodurans accumulates less carbonylation than sensitive organisms, making it a key model for deciphering properties governing oxidative stress resistance. We integrated shotgun redox proteomics, structural systems biology, and machine learning to resolve properties determining protein damage by γ‐irradiation in Escherichia coli and D. radiodurans at multiple scales. Local accessibility, charge, and lysine enrichment accurately predict ROS susceptibility. Lysine, methionine, and cysteine usage also contribute to ROS resistance of the D. radiodurans proteome. Our model predicts proteome maintenance machinery, and proteins protecting against ROS are more resistant in D. radiodurans. Our findings substantiate that protein‐intrinsic protection impacts oxidative stress resistance, identifying causal molecular properties.
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Affiliation(s)
- Roger L Chang
- Department of Systems Biology, Blavatnik Institute at Harvard Medical School, Boston, MA, USA.,Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA, USA
| | - Julian A Stanley
- Department of Systems Biology, Blavatnik Institute at Harvard Medical School, Boston, MA, USA
| | - Matthew C Robinson
- Department of Systems Biology, Blavatnik Institute at Harvard Medical School, Boston, MA, USA
| | - Joel W Sher
- Department of Systems Biology, Blavatnik Institute at Harvard Medical School, Boston, MA, USA
| | - Zhanwen Li
- Division of Biomedical Sciences, University of California Riverside School of Medicine, Riverside, CA, USA
| | - Yujia A Chan
- Department of Systems Biology, Blavatnik Institute at Harvard Medical School, Boston, MA, USA.,Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA, USA
| | - Ashton R Omdahl
- Department of Systems Biology, Blavatnik Institute at Harvard Medical School, Boston, MA, USA
| | - Ruddy Wattiez
- Department of Proteomics and Microbiology, Research Institute for Biosciences, University of Mons, Mons, Belgium
| | - Adam Godzik
- Division of Biomedical Sciences, University of California Riverside School of Medicine, Riverside, CA, USA
| | - Sabine Matallana-Surget
- Division of Biological and Environmental Sciences, Faculty of Natural Sciences, University of Stirling, Stirling, UK
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Zhang Q, Ma C, Chin LS, Li L. Integrative glycoproteomics reveals protein N-glycosylation aberrations and glycoproteomic network alterations in Alzheimer's disease. SCIENCE ADVANCES 2020; 6:6/40/eabc5802. [PMID: 33008897 PMCID: PMC7852392 DOI: 10.1126/sciadv.abc5802] [Citation(s) in RCA: 48] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/01/2020] [Accepted: 08/12/2020] [Indexed: 05/08/2023]
Abstract
Protein N-glycosylation plays critical roles in controlling brain function, but little is known about human brain N-glycoproteome and its alterations in Alzheimer's disease (AD). Here, we report the first, large-scale, site-specific N-glycoproteome profiling study of human AD and control brains using mass spectrometry-based quantitative N-glycoproteomics. The study provided a system-level view of human brain N-glycoproteins and in vivo N-glycosylation sites and identified disease signatures of altered N-glycopeptides, N-glycoproteins, and N-glycosylation site occupancy in AD. Glycoproteomics-driven network analysis showed 13 modules of co-regulated N-glycopeptides/glycoproteins, 6 of which are associated with AD phenotypes. Our analyses revealed multiple dysregulated N-glycosylation-affected processes and pathways in AD brain, including extracellular matrix dysfunction, neuroinflammation, synaptic dysfunction, cell adhesion alteration, lysosomal dysfunction, endocytic trafficking dysregulation, endoplasmic reticulum dysfunction, and cell signaling dysregulation. Our findings highlight the involvement of N-glycosylation aberrations in AD pathogenesis and provide new molecular and system-level insights for understanding and treating AD.
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Affiliation(s)
- Qi Zhang
- Department of Pharmacology and Chemical Biology and Center for Neurodegenerative Disease, Emory University School of Medicine, Atlanta, GA 30322, USA
| | - Cheng Ma
- Center for Diagnostics and Therapeutics, Department of Chemistry, Georgia State University, Atlanta, GA 30303, USA
| | - Lih-Shen Chin
- Department of Pharmacology and Chemical Biology and Center for Neurodegenerative Disease, Emory University School of Medicine, Atlanta, GA 30322, USA.
| | - Lian Li
- Department of Pharmacology and Chemical Biology and Center for Neurodegenerative Disease, Emory University School of Medicine, Atlanta, GA 30322, USA.
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Aasebø E, Berven FS, Hovland R, Døskeland SO, Bruserud Ø, Selheim F, Hernandez-Valladares M. The Progression of Acute Myeloid Leukemia from First Diagnosis to Chemoresistant Relapse: A Comparison of Proteomic and Phosphoproteomic Profiles. Cancers (Basel) 2020; 12:cancers12061466. [PMID: 32512867 PMCID: PMC7352627 DOI: 10.3390/cancers12061466] [Citation(s) in RCA: 30] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2020] [Accepted: 06/01/2020] [Indexed: 12/14/2022] Open
Abstract
Acute myeloid leukemia (AML) is an aggressive hematological malignancy. Nearly 50% of the patients who receive the most intensive treatment develop chemoresistant leukemia relapse. Although the leukemogenic events leading to relapse seem to differ between patients (i.e., regrowth from a clone detected at first diagnosis, progression from the original leukemic or preleukemic stem cells), a common characteristic of relapsed AML is increased chemoresistance. The aim of the present study was to investigate at the proteomic level whether leukemic cells from relapsed patients present overlapping molecular mechanisms that contribute to this chemoresistance. We used liquid chromatography–tandem mass spectrometry (LC–MS/MS) to compare the proteomic and phosphoproteomic profiles of AML cells derived from seven patients at the time of first diagnosis and at first relapse. At the time of first relapse, AML cells were characterized by increased levels of proteins important for various mitochondrial functions, such as mitochondrial ribosomal subunit proteins (MRPL21, MRPS37) and proteins for RNA processing (DHX37, RNA helicase; RPP40, ribonuclease P component), DNA repair (ERCC3, DNA repair factor IIH helicase; GTF2F1, general transcription factor), and cyclin-dependent kinase (CDK) activity. The levels of several cytoskeletal proteins (MYH14/MYL6/MYL12A, myosin chains; VCL, vinculin) as well as of proteins involved in vesicular trafficking/secretion and cell adhesion (ITGAX, integrin alpha-X; CD36, platelet glycoprotein 4; SLC2A3, solute carrier family 2) were decreased in relapsed cells. Our study introduces new targetable proteins that might direct therapeutic strategies to decrease chemoresistance in relapsed AML.
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Affiliation(s)
- Elise Aasebø
- Department of Clinical Science, University of Bergen, 5021 Bergen, Norway; (E.A.); (Ø.B.)
- The Department of Biomedicine, The Proteomics Unit at the University of Bergen (PROBE), University of Bergen, 5009 Bergen, Norway; (F.S.B.); (F.S.)
| | - Frode S. Berven
- The Department of Biomedicine, The Proteomics Unit at the University of Bergen (PROBE), University of Bergen, 5009 Bergen, Norway; (F.S.B.); (F.S.)
- The Department of Biomedicine, University of Bergen, 5009 Bergen, Norway;
| | - Randi Hovland
- Department for Medical Genetics, Haukeland University Hospital, 5021 Bergen, Norway;
- Department of Biological Sciences, University of Bergen, 5006 Bergen, Norway
| | | | - Øystein Bruserud
- Department of Clinical Science, University of Bergen, 5021 Bergen, Norway; (E.A.); (Ø.B.)
| | - Frode Selheim
- The Department of Biomedicine, The Proteomics Unit at the University of Bergen (PROBE), University of Bergen, 5009 Bergen, Norway; (F.S.B.); (F.S.)
- The Department of Biomedicine, University of Bergen, 5009 Bergen, Norway;
| | - Maria Hernandez-Valladares
- Department of Clinical Science, University of Bergen, 5021 Bergen, Norway; (E.A.); (Ø.B.)
- The Department of Biomedicine, The Proteomics Unit at the University of Bergen (PROBE), University of Bergen, 5009 Bergen, Norway; (F.S.B.); (F.S.)
- Correspondence: ; Tel.: +47-5558-6368
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Aasebø E, Berven FS, Bartaula-Brevik S, Stokowy T, Hovland R, Vaudel M, Døskeland SO, McCormack E, Batth TS, Olsen JV, Bruserud Ø, Selheim F, Hernandez-Valladares M. Proteome and Phosphoproteome Changes Associated with Prognosis in Acute Myeloid Leukemia. Cancers (Basel) 2020; 12:cancers12030709. [PMID: 32192169 PMCID: PMC7140113 DOI: 10.3390/cancers12030709] [Citation(s) in RCA: 30] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2020] [Revised: 03/05/2020] [Accepted: 03/13/2020] [Indexed: 12/12/2022] Open
Abstract
Acute myeloid leukemia (AML) is a hematological cancer that mainly affects the elderly. Although complete remission (CR) is achieved for the majority of the patients after induction and consolidation therapies, nearly two-thirds relapse within a short interval. Understanding biological factors that determine relapse has become of major clinical interest in AML. We utilized liquid chromatography tandem mass spectrometry (LC-MS/MS) to identify the protein changes and protein phosphorylation events associated with AML relapse in primary cells from 41 AML patients at time of diagnosis. Patients were defined as relapse-free if they had not relapsed within a five-year clinical follow-up after AML diagnosis. Relapse was associated with increased expression of RNA processing proteins and decreased expression of V-ATPase proteins. We also observed an increase in phosphorylation events catalyzed by cyclin-dependent kinases (CDKs) and casein kinase 2 (CSK2). The biological relevance of the proteome findings was supported by cell proliferation assays using inhibitors of V-ATPase (bafilomycin), CSK2 (CX-4945), CDK4/6 (abemaciclib) and CDK2/7/9 (SNS-032). While bafilomycin preferentially inhibited the cells from relapse patients, the kinase inhibitors were less efficient in these cells. This suggests that therapy against the upregulated kinases could also target the factors inducing their upregulation rather than their activity. This study, therefore, presents markers that could help predict AML relapse and direct therapeutic strategies.
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Affiliation(s)
- Elise Aasebø
- Department of Clinical Science, University of Bergen, 5021 Bergen, Norway; (E.A.); (S.B.-B.); (T.S.); (M.V.); (Ø.B.)
- The Proteomics Facility of the University of Bergen (PROBE), University of Bergen, 5009 Bergen, Norway; (F.S.B.); (F.S.)
| | - Frode S. Berven
- The Proteomics Facility of the University of Bergen (PROBE), University of Bergen, 5009 Bergen, Norway; (F.S.B.); (F.S.)
- The Department of Biomedicine, University of Bergen, 5009 Bergen, Norway;
| | - Sushma Bartaula-Brevik
- Department of Clinical Science, University of Bergen, 5021 Bergen, Norway; (E.A.); (S.B.-B.); (T.S.); (M.V.); (Ø.B.)
| | - Tomasz Stokowy
- Department of Clinical Science, University of Bergen, 5021 Bergen, Norway; (E.A.); (S.B.-B.); (T.S.); (M.V.); (Ø.B.)
- Department for Medical Genetics, Haukeland University Hospital, 5021 Bergen, Norway;
| | - Randi Hovland
- Department for Medical Genetics, Haukeland University Hospital, 5021 Bergen, Norway;
- Department of Biological Sciences, University of Bergen, 5006 Bergen, Norway
| | - Marc Vaudel
- Department of Clinical Science, University of Bergen, 5021 Bergen, Norway; (E.A.); (S.B.-B.); (T.S.); (M.V.); (Ø.B.)
| | | | - Emmet McCormack
- Centre for Cancer Biomarkers, Department of Clinical Science, University of Bergen, 5021 Bergen, Norway;
| | - Tanveer S. Batth
- Novo Nordisk Foundation Center for Protein Research, University of Copenhagen, 2200 Copenhagen, Denmark; (T.S.B.); (J.V.O.)
| | - Jesper V. Olsen
- Novo Nordisk Foundation Center for Protein Research, University of Copenhagen, 2200 Copenhagen, Denmark; (T.S.B.); (J.V.O.)
| | - Øystein Bruserud
- Department of Clinical Science, University of Bergen, 5021 Bergen, Norway; (E.A.); (S.B.-B.); (T.S.); (M.V.); (Ø.B.)
| | - Frode Selheim
- The Proteomics Facility of the University of Bergen (PROBE), University of Bergen, 5009 Bergen, Norway; (F.S.B.); (F.S.)
- The Department of Biomedicine, University of Bergen, 5009 Bergen, Norway;
| | - Maria Hernandez-Valladares
- Department of Clinical Science, University of Bergen, 5021 Bergen, Norway; (E.A.); (S.B.-B.); (T.S.); (M.V.); (Ø.B.)
- The Proteomics Facility of the University of Bergen (PROBE), University of Bergen, 5009 Bergen, Norway; (F.S.B.); (F.S.)
- Correspondence: ; Tel.: +47-5558-6368
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Mice depleted for Exchange Proteins Directly Activated by cAMP (Epac) exhibit irregular liver regeneration in response to partial hepatectomy. Sci Rep 2019; 9:13789. [PMID: 31551444 PMCID: PMC6760117 DOI: 10.1038/s41598-019-50219-8] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2019] [Accepted: 09/06/2019] [Indexed: 02/07/2023] Open
Abstract
The exchange proteins directly activated by cAMP 1 and 2 (Epac1 and Epac2) are expressed in a cell specific manner in the liver, but their biological functions in this tissue are poorly understood. The current study was undertaken to begin to determine the potential roles of Epac1 and Epac2 in liver physiology and disease. Male C57BL/6J mice in which expression of Epac1 and/or Epac2 are deleted, were subjected to partial hepatectomy and the regenerating liver was analyzed with regard to lipid accumulation, cell replication and protein expression. In response to partial hepatectomy, deletion of Epac1 and/or Epac2 led to increased hepatocyte proliferation 36 h post surgery, and the transient steatosis observed in wild type mice was virtually absent in mice lacking both Epac1 and Epac2. The expression of the protein cytochrome P4504a14, which is implicated in hepatic steatosis and fibrosis, was substantially reduced upon deletion of Epac1/2, while a number of factors involved in lipid metabolism were significantly decreased. Moreover, the number of Küpffer cells was affected, and Epac2 expression was increased in the liver of wild type mice in response to partial hepatectomy, further supporting a role for these proteins in liver function. This study establishes hepatic phenotypic abnormalities in mice deleted for Epac1/2 for the first time, and introduces Epac1/2 as regulators of hepatocyte proliferation and lipid accumulation in the regenerative process.
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Tveitarås MK, Selheim F, Sortland K, Reed RK, Stuhr L. Protein expression profiling of plasma and lungs at different stages of metastatic development in a human triple negative breast cancer xenograft model. PLoS One 2019; 14:e0215909. [PMID: 31042781 PMCID: PMC6494042 DOI: 10.1371/journal.pone.0215909] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2018] [Accepted: 04/10/2019] [Indexed: 12/29/2022] Open
Abstract
The main objective of this study was to identify single proteins or protein networks that might be used as diagnostic biomarkers or for therapeutic purposes by evaluating the protein expression profiling of plasma and lungs at different stages of metastatic development in a human triple negative MDA-MB-231 breast cancer xenograft model. MDA-MB-231 tumour cells were injected into the mammary fat pads on one side of the groin area. The mice were sacrificed day 19 (pre-metastases) and day 54 (metastases). Non-injected mice served as controls. Plasma was collected and lungs harvested for both immunohistochemistry and protein analysis. The most striking observation in plasma was the initial reduction in haptoglobin level at the pre-metastatic stage, to a following significant increase in haptoglobin level at the metastatic stage, with a more than 4000-fold increase from the pre-metastatic to the metastatic phase. A corresponding increase in haptoglobin level was also found in lung tissue after metastasis. Fibrinogen beta chain also had a similar change in expression level in plasma as haptoglobin, however not as prominent. There were also changes in plasma thrombospondin-4 and transferrin receptor protein 1 levels, from an increase at the pre-metastatic stage, to a significant fall when metastases were established. This suggests that especially changes in haptoglobin, but also fibrinogen beta chain, thrombospondin-4 and transferrin receptor protein 1 is indicative of metastasis, at least in this breast cancer model, and should be further evaluated as general breast cancer biomarkers.
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Affiliation(s)
- Maria K. Tveitarås
- Department of Biomedicine, University of Bergen, Bergen, Norway
- Centre for Cancer Biomarkers, Norwegian Centre of Excellence, University of Bergen, Bergen, Norway
| | - Frode Selheim
- Proteomic Unit (PROBE), Department of Biomedicine, University of Bergen, Bergen, Norway
| | | | - Rolf K. Reed
- Department of Biomedicine, University of Bergen, Bergen, Norway
- Centre for Cancer Biomarkers, Norwegian Centre of Excellence, University of Bergen, Bergen, Norway
| | - Linda Stuhr
- Department of Biomedicine, University of Bergen, Bergen, Norway
- Centre for Cancer Biomarkers, Norwegian Centre of Excellence, University of Bergen, Bergen, Norway
- * E-mail:
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Sinha A, Hussain A, Ignatchenko V, Ignatchenko A, Tang KH, Ho VWH, Neel BG, Clarke B, Bernardini MQ, Ailles L, Kislinger T. N-Glycoproteomics of Patient-Derived Xenografts: A Strategy to Discover Tumor-Associated Proteins in High-Grade Serous Ovarian Cancer. Cell Syst 2019; 8:345-351.e4. [PMID: 30981729 DOI: 10.1016/j.cels.2019.03.011] [Citation(s) in RCA: 25] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2018] [Revised: 12/10/2018] [Accepted: 03/14/2019] [Indexed: 01/21/2023]
Abstract
High-grade serous ovarian carcinoma (HGSC) is the most common and lethal subtype of gynecologic malignancy in women. The current standard of treatment combines cytoreductive surgery and chemotherapy. Despite the efficacy of initial treatment, most patients develop cancer recurrence, and 70% of patients die within 5 years of initial diagnosis. CA125 is the current FDA-approved biomarker used in the clinic to monitor response to treatment and recurrence, but its impact on patient survival is limited. New strategies for the discovery of HGSC biomarkers are urgently needed. Here, we describe a proteomics strategy to detect tumor-associated proteins in serum of HGSC patient-derived xenograft models. We demonstrate proof-of-concept applicability using two independent, longitudinal serum cohorts from HGSC patients.
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Affiliation(s)
- Ankit Sinha
- University of Toronto, Department of Medical Biophysics, Toronto, ON M5G 1L7, Canada
| | - Ali Hussain
- University of Toronto, Department of Medical Biophysics, Toronto, ON M5G 1L7, Canada
| | - Vladimir Ignatchenko
- Princess Margaret Cancer Centre, University Health Network, Toronto, ON M5G 2M9, Canada
| | - Alexandr Ignatchenko
- Princess Margaret Cancer Centre, University Health Network, Toronto, ON M5G 2M9, Canada
| | - Kwan Ho Tang
- Perlmutter Cancer Center, NYU Langone Medical Center, New York, NY 10016, USA
| | - Victor W H Ho
- Princess Margaret Cancer Centre, University Health Network, Toronto, ON M5G 2M9, Canada
| | - Benjamin G Neel
- Princess Margaret Cancer Centre, University Health Network, Toronto, ON M5G 2M9, Canada; Perlmutter Cancer Center, NYU Langone Medical Center, New York, NY 10016, USA
| | - Blaise Clarke
- Princess Margaret Cancer Centre, University Health Network, Toronto, ON M5G 2M9, Canada; University of Toronto, Department of Laboratory Medicine and Pathobiology, Toronto, ON M5S 1A8, Canada
| | - Marcus Q Bernardini
- Princess Margaret Cancer Centre, University Health Network, Toronto, ON M5G 2M9, Canada; University of Toronto, Department of Obstetrics and Gynaecology, Toronto, ON M5G 1E2, Canada
| | - Laurie Ailles
- University of Toronto, Department of Medical Biophysics, Toronto, ON M5G 1L7, Canada; Princess Margaret Cancer Centre, University Health Network, Toronto, ON M5G 2M9, Canada
| | - Thomas Kislinger
- University of Toronto, Department of Medical Biophysics, Toronto, ON M5G 1L7, Canada; Princess Margaret Cancer Centre, University Health Network, Toronto, ON M5G 2M9, Canada.
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Hansen BK, Gupta R, Baldus L, Lyon D, Narita T, Lammers M, Choudhary C, Weinert BT. Analysis of human acetylation stoichiometry defines mechanistic constraints on protein regulation. Nat Commun 2019; 10:1055. [PMID: 30837475 PMCID: PMC6401094 DOI: 10.1038/s41467-019-09024-0] [Citation(s) in RCA: 108] [Impact Index Per Article: 21.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2018] [Accepted: 02/11/2019] [Indexed: 12/21/2022] Open
Abstract
Lysine acetylation is a reversible posttranslational modification that occurs at thousands of sites on human proteins. However, the stoichiometry of acetylation remains poorly characterized, and is important for understanding acetylation-dependent mechanisms of protein regulation. Here we provide accurate, validated measurements of acetylation stoichiometry at 6829 sites on 2535 proteins in human cervical cancer (HeLa) cells. Most acetylation occurs at very low stoichiometry (median 0.02%), whereas high stoichiometry acetylation (>1%) occurs on nuclear proteins involved in gene transcription and on acetyltransferases. Analysis of acetylation copy numbers show that histones harbor the majority of acetylated lysine residues in human cells. Class I deacetylases target a greater proportion of high stoichiometry acetylation compared to SIRT1 and HDAC6. The acetyltransferases CBP and p300 catalyze a majority (65%) of high stoichiometry acetylation. This resource dataset provides valuable information for evaluating the impact of individual acetylation sites on protein function and for building accurate mechanistic models. Many human proteins are regulated by lysine acetylation, but the degree of acetylation at individual sites is poorly characterized. Here, the authors measure acetylation stoichiometry in the HeLa cell proteome, providing a resource to assess mechanistic constraints on acetylation-mediated protein regulation.
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Affiliation(s)
- Bogi Karbech Hansen
- Department of Proteomics, The Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Blegdamsvej 3B, DK-2200, Copenhagen, Denmark
| | - Rajat Gupta
- Department of Proteomics, The Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Blegdamsvej 3B, DK-2200, Copenhagen, Denmark
| | - Linda Baldus
- Institute of Biochemistry, Synthetic and Structural Biochemistry, University of Greifswald, Felix-Hausdorff-Str. 4, Greifswald, 17487, Germany.,Institute for Genetics and Cologne Excellence Cluster on Cellular Stress Responses in Aging-Associated Diseases, CECAD, University of Cologne, Joseph-Stelzmann-Str. 26, 50931, Cologne, Germany
| | - David Lyon
- Disease Systems Biology Program, The Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Blegdamsvej 3B, DK-2200, Copenhagen, Denmark
| | - Takeo Narita
- Department of Proteomics, The Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Blegdamsvej 3B, DK-2200, Copenhagen, Denmark
| | - Michael Lammers
- Institute of Biochemistry, Synthetic and Structural Biochemistry, University of Greifswald, Felix-Hausdorff-Str. 4, Greifswald, 17487, Germany.,Institute for Genetics and Cologne Excellence Cluster on Cellular Stress Responses in Aging-Associated Diseases, CECAD, University of Cologne, Joseph-Stelzmann-Str. 26, 50931, Cologne, Germany
| | - Chunaram Choudhary
- Department of Proteomics, The Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Blegdamsvej 3B, DK-2200, Copenhagen, Denmark.
| | - Brian T Weinert
- Department of Proteomics, The Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Blegdamsvej 3B, DK-2200, Copenhagen, Denmark.
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43
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Weinert BT, Narita T, Satpathy S, Srinivasan B, Hansen BK, Schölz C, Hamilton WB, Zucconi BE, Wang WW, Liu WR, Brickman JM, Kesicki EA, Lai A, Bromberg KD, Cole PA, Choudhary C. Time-Resolved Analysis Reveals Rapid Dynamics and Broad Scope of the CBP/p300 Acetylome. Cell 2018; 174:231-244.e12. [PMID: 29804834 DOI: 10.1016/j.cell.2018.04.033] [Citation(s) in RCA: 253] [Impact Index Per Article: 42.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2017] [Revised: 02/21/2018] [Accepted: 04/24/2018] [Indexed: 12/29/2022]
Abstract
The acetyltransferases CBP and p300 are multifunctional transcriptional co-activators. Here, we combined quantitative proteomics with CBP/p300-specific catalytic inhibitors, bromodomain inhibitor, and gene knockout to reveal a comprehensive map of regulated acetylation sites and their dynamic turnover rates. CBP/p300 acetylates thousands of sites, including signature histone sites and a multitude of sites on signaling effectors and enhancer-associated transcriptional regulators. Time-resolved acetylome analyses identified a subset of CBP/p300-regulated sites with very rapid (<30 min) acetylation turnover, revealing a dynamic balance between acetylation and deacetylation. Quantification of acetylation, mRNA, and protein abundance after CBP/p300 inhibition reveals a kinetically competent network of gene expression that strictly depends on CBP/p300-catalyzed rapid acetylation. Collectively, our in-depth acetylome analyses reveal systems attributes of CBP/p300 targets, and the resource dataset provides a framework for investigating CBP/p300 functions and for understanding the impact of small-molecule inhibitors targeting its catalytic and bromodomain activities.
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Affiliation(s)
- Brian T Weinert
- Department of Proteomics, The Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Blegdamsvej 3B, 2200 Copenhagen, Denmark
| | - Takeo Narita
- Department of Proteomics, The Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Blegdamsvej 3B, 2200 Copenhagen, Denmark
| | - Shankha Satpathy
- Department of Proteomics, The Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Blegdamsvej 3B, 2200 Copenhagen, Denmark
| | - Balaji Srinivasan
- Department of Proteomics, The Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Blegdamsvej 3B, 2200 Copenhagen, Denmark
| | - Bogi K Hansen
- Department of Proteomics, The Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Blegdamsvej 3B, 2200 Copenhagen, Denmark
| | - Christian Schölz
- Department of Proteomics, The Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Blegdamsvej 3B, 2200 Copenhagen, Denmark; Max von Pettenkofer Institute, Virology, National Reference Center for Retroviruses, Faculty of Medicine, LMU München, Feodor-Lynen-Str. 23, 81377 Munich, Germany
| | - William B Hamilton
- The Novo Nordisk Foundation Center for Stem Cell Biology-DanStem, Faculty of Health and Medical Sciences, University of Copenhagen, Blegdamsvej 3B, 2200 Copenhagen, Denmark
| | - Beth E Zucconi
- Division of Genetics, Departments of Medicine and Biological Chemistry and Molecular Pharmacology, Harvard Medical School and Brigham & Women's Hospital, Boston, MA 02115, USA
| | - Wesley W Wang
- Department of Chemistry, Texas A&M University, College Station, TX 77843-3255, USA
| | - Wenshe R Liu
- Department of Chemistry, Texas A&M University, College Station, TX 77843-3255, USA
| | - Joshua M Brickman
- The Novo Nordisk Foundation Center for Stem Cell Biology-DanStem, Faculty of Health and Medical Sciences, University of Copenhagen, Blegdamsvej 3B, 2200 Copenhagen, Denmark
| | - Edward A Kesicki
- Acylin Therapeutics, Inc., 1616 Eastlake Ave E, #200, Seattle, WA 98102, USA; Petra Pharma Corp., 430 E. 29th St. Suite 835, New York, NY 10016, USA
| | - Albert Lai
- Discovery, Global Pharmaceutical Research and Development, AbbVie, 1 North Waukegan Road, North Chicago, IL 60064, USA
| | - Kenneth D Bromberg
- Discovery, Global Pharmaceutical Research and Development, AbbVie, 1 North Waukegan Road, North Chicago, IL 60064, USA
| | - Philip A Cole
- Division of Genetics, Departments of Medicine and Biological Chemistry and Molecular Pharmacology, Harvard Medical School and Brigham & Women's Hospital, Boston, MA 02115, USA
| | - Chunaram Choudhary
- Department of Proteomics, The Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Blegdamsvej 3B, 2200 Copenhagen, Denmark.
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44
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Preservation Method and Phosphate Buffered Saline Washing Affect the Acute Myeloid Leukemia Proteome. Int J Mol Sci 2018; 19:ijms19010296. [PMID: 29351208 PMCID: PMC5796241 DOI: 10.3390/ijms19010296] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2017] [Revised: 01/10/2018] [Accepted: 01/12/2018] [Indexed: 02/08/2023] Open
Abstract
Acute myeloid leukemia (AML) primary cells can be isolated from peripheral blood, suspended with media containing bovine serum and cryoprotectant, and stored in liquid nitrogen before being processed for proteomic analysis by mass spectrometry (MS). The presence of bovine serum and human blood proteins in AML samples can hamper the identifications of proteins, and thereby reduce the proteome coverage of the study. Herein, we have established the effect of phosphate buffered saline (PBS) washing on AML patient samples stored in media. Although PBS washes effectively removed serum and blood contaminants, the saline wash resulted in cell burst and remarkable protein material loss. We also compared different methods to preserve the AML proteome from THP-1 and Molm-13 cell lines before MS analysis: (1) stored in media containing bovine serum and dimethyl sulfoxide (DMSO); (2) stored as dried cell pellets; and (3) stored as cell lysates in 4% sodium dodecyl sulfate (SDS). MS analysis of differently preserved AML cell samples shows that preservation with DMSO produce a high number of fragile cells that will burst during freezing and thawing. Our studies encourage the use of alternative preservation methods for future MS analysis of the AML proteome.
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45
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Meng X, Lv Y, Mujahid H, Edelmann MJ, Zhao H, Peng X, Peng Z. Proteome-wide lysine acetylation identification in developing rice (Oryza sativa) seeds and protein co-modification by acetylation, succinylation, ubiquitination, and phosphorylation. BIOCHIMICA ET BIOPHYSICA ACTA-PROTEINS AND PROTEOMICS 2017; 1866:451-463. [PMID: 29313810 DOI: 10.1016/j.bbapap.2017.12.001] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/09/2017] [Revised: 11/20/2017] [Accepted: 12/03/2017] [Indexed: 12/31/2022]
Abstract
Protein lysine acetylation is a highly conserved post-translational modification with various biological functions. However, only a limited number of acetylation sites have been reported in plants, especially in cereals, and the function of non-histone protein acetylation is still largely unknown. In this report, we identified 1003 lysine acetylation sites in 692 proteins of developing rice seeds, which greatly extended the number of known acetylated sites in plants. Seven distinguished motifs were detected flanking acetylated lysines. Functional annotation analyses indicated diverse biological processes and pathways engaged in lysine acetylation. Remarkably, we found that several key enzymes in storage starch synthesis pathway and the main storage proteins were heavily acetylated. A comprehensive comparison of the rice acetylome, succinylome, ubiquitome and phosphorylome with available published data was conducted. A large number of proteins carrying multiple kinds of modifications were identified and many of these proteins are known to be key enzymes of vital metabolic pathways. Our study provides extending knowledge of protein acetylation. It will have critical reference value for understanding the mechanisms underlying PTM mediated multiple signal integration in the regulation of metabolism and development in plants.
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Affiliation(s)
- Xiaoxi Meng
- Department of Biochemistry, Molecular Biology, Entomology and Plant Pathology, Mississippi State University, Starkville, MS, United States
| | - Yuanda Lv
- Department of Biochemistry, Molecular Biology, Entomology and Plant Pathology, Mississippi State University, Starkville, MS, United States; Provincial Key Laboratory of Agrobiology, Institute of Biotechnology, Jiangsu Academy of Agricultural Sciences, Nanjing, Jiangsu, China
| | - Hana Mujahid
- Department of Biochemistry, Molecular Biology, Entomology and Plant Pathology, Mississippi State University, Starkville, MS, United States
| | - Mariola J Edelmann
- Department of Microbiology and Cell Science, University of Florida, Gainesville, FL, United States
| | - Han Zhao
- Provincial Key Laboratory of Agrobiology, Institute of Biotechnology, Jiangsu Academy of Agricultural Sciences, Nanjing, Jiangsu, China
| | - Xiaojun Peng
- Department of Bioinformatics, Jingjie PTM Biolab Co. Ltd, Hangzhou, Zhejiang, China
| | - Zhaohua Peng
- Department of Biochemistry, Molecular Biology, Entomology and Plant Pathology, Mississippi State University, Starkville, MS, United States.
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46
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Landscape of the regulatory elements for lysine 2-hydroxyisobutyrylation pathway. Cell Res 2017; 28:111-125. [PMID: 29192674 DOI: 10.1038/cr.2017.149] [Citation(s) in RCA: 64] [Impact Index Per Article: 9.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2017] [Revised: 08/02/2017] [Accepted: 08/16/2017] [Indexed: 02/05/2023] Open
Abstract
Short-chain fatty acids and their corresponding acyl-CoAs sit at the crossroads of metabolic pathways and play important roles in diverse cellular processes. They are also precursors for protein post-translational lysine acylation modifications. A noteworthy example is the newly identified lysine 2-hydroxyisobutyrylation (Khib) that is derived from 2-hydroxyisobutyrate and 2-hydroxyisobutyryl-CoA. Histone Khib has been shown to be associated with active gene expression in spermatogenic cells. However, the key elements that regulate this post-translational lysine acylation pathway remain unknown. This has hindered characterization of the mechanisms by which this modification exerts its biological functions. Here we show that Esa1p in budding yeast and its homologue Tip60 in human could add Khib to substrate proteins both in vitro and in vivo. In addition, we have identified HDAC2 and HDAC3 as the major enzymes to remove Khib. Moreover, we report the first global profiling of Khib proteome in mammalian cells, identifying 6 548 Khib sites on 1 725 substrate proteins. Our study has thus discovered both the "writers" and "erasers" for histone Khib marks, and major Khib protein substrates. These results not only illustrate the landscape of this new lysine acylation pathway, but also open new avenues for studying diverse functions of cellular metabolites associated with this pathway.
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47
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Fu L, Liu K, Sun M, Tian C, Sun R, Morales Betanzos C, Tallman KA, Porter NA, Yang Y, Guo D, Liebler DC, Yang J. Systematic and Quantitative Assessment of Hydrogen Peroxide Reactivity With Cysteines Across Human Proteomes. Mol Cell Proteomics 2017; 16:1815-1828. [PMID: 28827280 DOI: 10.1074/mcp.ra117.000108] [Citation(s) in RCA: 52] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2017] [Indexed: 01/23/2023] Open
Abstract
Protein cysteinyl residues are the mediators of hydrogen peroxide (H2O2)-dependent redox signaling. However, site-specific mapping of the selectivity and dynamics of these redox reactions in cells poses a major analytical challenge. Here we describe a chemoproteomic platform to systematically and quantitatively analyze the reactivity of thousands of cysteines toward H2O2 in human cells. We identified >900 H2O2-sensitive cysteines, which are defined as the H2O2-dependent redoxome. Although redox sites associated with antioxidative and metabolic functions are consistent, most of the H2O2-dependent redoxome varies dramatically between different cells. Structural analyses reveal that H2O2-sensitive cysteines are less conserved than their redox-insensitive counterparts and display distinct sequence motifs, structural features, and potential for crosstalk with lysine modifications. Notably, our chemoproteomic platform also provides an opportunity to predict oxidation-triggered protein conformational changes. The data are freely accessible as a resource at http://redox.ncpsb.org/OXID/.
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Affiliation(s)
- Ling Fu
- From the ‡State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences, Beijing Institute of Radiation Medicine, Beijing 102206, China
| | - Keke Liu
- From the ‡State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences, Beijing Institute of Radiation Medicine, Beijing 102206, China
| | - Mingan Sun
- §State Key Laboratory of Agrobiotechnology and School of Life Sciences, The Chinese University of Hong Kong, China
| | - Caiping Tian
- From the ‡State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences, Beijing Institute of Radiation Medicine, Beijing 102206, China
| | - Rui Sun
- From the ‡State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences, Beijing Institute of Radiation Medicine, Beijing 102206, China.,¶State Key Laboratory of Natural Medicines, Jiangsu Key Laboratory of Drug Discovery for Metabolic Disease, Center for New Drug Safety Evaluation and Research, China Pharmaceutical University, Nanjing 211198, China
| | - Carlos Morales Betanzos
- ‖Department of Biochemistry, Vanderbilt University School of Medicine, Nashville, Tennessee 37232
| | - Keri A Tallman
- **Department of Chemistry, Vanderbilt University, Nashville, Tennessee 37232
| | - Ned A Porter
- **Department of Chemistry, Vanderbilt University, Nashville, Tennessee 37232
| | - Yong Yang
- ¶State Key Laboratory of Natural Medicines, Jiangsu Key Laboratory of Drug Discovery for Metabolic Disease, Center for New Drug Safety Evaluation and Research, China Pharmaceutical University, Nanjing 211198, China
| | - Dianjing Guo
- §State Key Laboratory of Agrobiotechnology and School of Life Sciences, The Chinese University of Hong Kong, China
| | - Daniel C Liebler
- ‖Department of Biochemistry, Vanderbilt University School of Medicine, Nashville, Tennessee 37232
| | - Jing Yang
- From the ‡State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences, Beijing Institute of Radiation Medicine, Beijing 102206, China;
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48
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Weinert BT, Satpathy S, Hansen BK, Lyon D, Jensen LJ, Choudhary C. Accurate Quantification of Site-specific Acetylation Stoichiometry Reveals the Impact of Sirtuin Deacetylase CobB on the E. coli Acetylome. Mol Cell Proteomics 2017; 16:759-769. [PMID: 28254776 DOI: 10.1074/mcp.m117.067587] [Citation(s) in RCA: 67] [Impact Index Per Article: 9.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2017] [Revised: 03/01/2017] [Indexed: 01/04/2023] Open
Abstract
Lysine acetylation is a protein posttranslational modification (PTM) that occurs on thousands of lysine residues in diverse organisms from bacteria to humans. Accurate measurement of acetylation stoichiometry on a proteome-wide scale remains challenging. Most methods employ a comparison of chemically acetylated peptides to native acetylated peptides, however, the potentially large differences in abundance between these peptides presents a challenge for accurate quantification. Stable isotope labeling by amino acids in cell culture (SILAC)-based mass spectrometry (MS) is one of the most widely used quantitative proteomic methods. Here we show that serial dilution of SILAC-labeled peptides (SD-SILAC) can be used to identify accurately quantified peptides and to estimate the quantification error rate. We applied SD-SILAC to determine absolute acetylation stoichiometry in exponentially-growing and stationary-phase wild-type and Sirtuin deacetylase CobB-deficient cells. To further analyze CobB-regulated sites under conditions of globally increased or decreased acetylation, we measured stoichiometry in phophotransacetylase (ptaΔ) and acetate kinase (ackAΔ) mutant strains in the presence and absence of the Sirtuin inhibitor nicotinamide. We measured acetylation stoichiometry at 3,669 unique sites and found that the vast majority of acetylation occurred at a low stoichiometry. Manipulations that cause increased nonenzymatic acetylation by acetyl-phosphate (AcP), such as stationary-phase arrest and deletion of ackA, resulted in globally increased acetylation stoichiometry. Comparison to relative quantification under the same conditions validated our stoichiometry estimates at hundreds of sites, demonstrating the accuracy of our method. Similar to Sirtuin deacetylase 3 (SIRT3) in mitochondria, CobB suppressed acetylation to lower than median stoichiometry in WT, ptaΔ, and ackAΔ cells. Together, our results provide a detailed view of acetylation stoichiometry in E. coli and suggest an evolutionarily conserved function of Sirtuin deacetylases in suppressing low stoichiometry acetylation.
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Affiliation(s)
- Brian Tate Weinert
- From the ‡The Novo Nordisk Foundation Center for Protein Research, Faculty of Health Sciences, University of Copenhagen, Blegdamsvej 3B, DK-2200 Copenhagen, Denmark
| | - Shankha Satpathy
- From the ‡The Novo Nordisk Foundation Center for Protein Research, Faculty of Health Sciences, University of Copenhagen, Blegdamsvej 3B, DK-2200 Copenhagen, Denmark
| | - Bogi Karbech Hansen
- From the ‡The Novo Nordisk Foundation Center for Protein Research, Faculty of Health Sciences, University of Copenhagen, Blegdamsvej 3B, DK-2200 Copenhagen, Denmark
| | - David Lyon
- From the ‡The Novo Nordisk Foundation Center for Protein Research, Faculty of Health Sciences, University of Copenhagen, Blegdamsvej 3B, DK-2200 Copenhagen, Denmark
| | - Lars Juhl Jensen
- From the ‡The Novo Nordisk Foundation Center for Protein Research, Faculty of Health Sciences, University of Copenhagen, Blegdamsvej 3B, DK-2200 Copenhagen, Denmark
| | - Chunaram Choudhary
- From the ‡The Novo Nordisk Foundation Center for Protein Research, Faculty of Health Sciences, University of Copenhagen, Blegdamsvej 3B, DK-2200 Copenhagen, Denmark
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49
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Methionine residues around phosphorylation sites are preferentially oxidized in vivo under stress conditions. Sci Rep 2017; 7:40403. [PMID: 28079140 PMCID: PMC5227694 DOI: 10.1038/srep40403] [Citation(s) in RCA: 52] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2016] [Accepted: 12/06/2016] [Indexed: 12/22/2022] Open
Abstract
Protein phosphorylation is one of the most prevalent and well-understood protein modifications. Oxidation of protein-bound methionine, which has been traditionally perceived as an inevitable damage derived from oxidative stress, is now emerging as another modification capable of regulating protein activity during stress conditions. However, the mechanism coupling oxidative signals to changes in protein function remains unknown. An appealing hypothesis is that methionine oxidation might serve as a rheostat to control phosphorylation. To investigate this potential crosstalk between phosphorylation and methionine oxidation, we have addressed the co-occurrence of these two types of modifications within the human proteome. Here, we show that nearly all (98%) proteins containing oxidized methionine were also phosphoproteins. Furthermore, phosphorylation sites were much closer to oxidized methionines when compared to non-oxidized methionines. This proximity between modification sites cannot be accounted for by their co-localization within unstructured clusters because it was faithfully reproduced in a smaller sample of structured proteins. We also provide evidence that the oxidation of methionine located within phosphorylation motifs is a highly selective process among stress-related proteins, which supports the hypothesis of crosstalk between methionine oxidation and phosphorylation as part of the cellular defence against oxidative stress.
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50
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Belstrøm D, Jersie-Christensen RR, Lyon D, Damgaard C, Jensen LJ, Holmstrup P, Olsen JV. Metaproteomics of saliva identifies human protein markers specific for individuals with periodontitis and dental caries compared to orally healthy controls. PeerJ 2016; 4:e2433. [PMID: 27672500 PMCID: PMC5028799 DOI: 10.7717/peerj.2433] [Citation(s) in RCA: 44] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2016] [Accepted: 08/12/2016] [Indexed: 01/10/2023] Open
Abstract
Background The composition of the salivary microbiota has been reported to differentiate between patients with periodontitis, dental caries and orally healthy individuals. To identify characteristics of diseased and healthy saliva we thus wanted to compare saliva metaproteomes from patients with periodontitis and dental caries to healthy individuals. Methods Stimulated saliva samples were collected from 10 patients with periodontitis, 10 patients with dental caries and 10 orally healthy individuals. The proteins in the saliva samples were subjected to denaturing buffer and digested enzymatically with LysC and trypsin. The resulting peptide mixtures were cleaned up by solid-phase extraction and separated online with 2 h gradients by nano-scale C18 reversed-phase chromatography connected to a mass spectrometer through an electrospray source. The eluting peptides were analyzed on a tandem mass spectrometer operated in data-dependent acquisition mode. Results We identified a total of 35,664 unique peptides from 4,161 different proteins, of which 1,946 and 2,090 were of bacterial and human origin, respectively. The human protein profiles displayed significant overexpression of the complement system and inflammatory markers in periodontitis and dental caries compared to healthy controls. Bacterial proteome profiles and functional annotation were very similar in health and disease. Conclusions Overexpression of proteins related to the complement system and inflammation seems to correlate with oral disease status. Similar bacterial proteomes in healthy and diseased individuals suggests that the salivary microbiota predominantly thrives in a planktonic state expressing no disease-associated characteristics of metabolic activity.
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Affiliation(s)
- Daniel Belstrøm
- Section of Periodontology and Microbiology, Department of Odontology, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Rosa R Jersie-Christensen
- Proteomics Program, Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - David Lyon
- Disease Systems Biology Program, Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Christian Damgaard
- Section of Periodontology and Microbiology, Department of Odontology, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.,Institute for Inflammation Research, Center for Rheumatology and Spine Diseases, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
| | - Lars J Jensen
- Disease Systems Biology Program, Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Palle Holmstrup
- Section of Periodontology and Microbiology, Department of Odontology, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Jesper V Olsen
- Proteomics Program, Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
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