1
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Karpov OA, Stotland A, Raedschelders K, Chazarin B, Ai L, Murray CI, Van Eyk JE. Proteomics of the heart. Physiol Rev 2024; 104:931-982. [PMID: 38300522 DOI: 10.1152/physrev.00026.2023] [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: 07/03/2023] [Revised: 12/25/2023] [Accepted: 01/14/2024] [Indexed: 02/02/2024] Open
Abstract
Mass spectrometry-based proteomics is a sophisticated identification tool specializing in portraying protein dynamics at a molecular level. Proteomics provides biologists with a snapshot of context-dependent protein and proteoform expression, structural conformations, dynamic turnover, and protein-protein interactions. Cardiac proteomics can offer a broader and deeper understanding of the molecular mechanisms that underscore cardiovascular disease, and it is foundational to the development of future therapeutic interventions. This review encapsulates the evolution, current technologies, and future perspectives of proteomic-based mass spectrometry as it applies to the study of the heart. Key technological advancements have allowed researchers to study proteomes at a single-cell level and employ robot-assisted automation systems for enhanced sample preparation techniques, and the increase in fidelity of the mass spectrometers has allowed for the unambiguous identification of numerous dynamic posttranslational modifications. Animal models of cardiovascular disease, ranging from early animal experiments to current sophisticated models of heart failure with preserved ejection fraction, have provided the tools to study a challenging organ in the laboratory. Further technological development will pave the way for the implementation of proteomics even closer within the clinical setting, allowing not only scientists but also patients to benefit from an understanding of protein interplay as it relates to cardiac disease physiology.
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Affiliation(s)
- Oleg A Karpov
- Smidt Heart Institute, Advanced Clinical Biosystems Research Institute, Cedars-Sinai Medical Center, Los Angeles, California, United States
| | - Aleksandr Stotland
- Smidt Heart Institute, Advanced Clinical Biosystems Research Institute, Cedars-Sinai Medical Center, Los Angeles, California, United States
| | - Koen Raedschelders
- Smidt Heart Institute, Advanced Clinical Biosystems Research Institute, Cedars-Sinai Medical Center, Los Angeles, California, United States
| | - Blandine Chazarin
- Smidt Heart Institute, Advanced Clinical Biosystems Research Institute, Cedars-Sinai Medical Center, Los Angeles, California, United States
| | - Lizhuo Ai
- Smidt Heart Institute, Advanced Clinical Biosystems Research Institute, Cedars-Sinai Medical Center, Los Angeles, California, United States
| | - Christopher I Murray
- Smidt Heart Institute, Advanced Clinical Biosystems Research Institute, Cedars-Sinai Medical Center, Los Angeles, California, United States
| | - Jennifer E Van Eyk
- Smidt Heart Institute, Advanced Clinical Biosystems Research Institute, Cedars-Sinai Medical Center, Los Angeles, California, United States
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2
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Richardson J, Zhang Z. Fully Unattended Online Protein Digestion and LC-MS Peptide Mapping. Anal Chem 2023; 95:15514-15521. [PMID: 37816151 DOI: 10.1021/acs.analchem.3c01554] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/12/2023]
Abstract
LC-MS based peptide mapping, i.e., proteolytic digestion followed by LC-MS/MS analysis, is the method of choice for protein primary structural characterization. Manual proteolytic digestion is usually a labor-intensive procedure. In this work, a novel method was developed for fully automated online protein digestion and LC-MS peptide mapping. The method generates LC-MS data from undigested protein samples without user intervention by utilizing the same HPLC system that performs the chromatographic separation with some additional modules. Each sample is rapidly digested immediately prior to its LC-MS analysis, minimizing artifacts that can grow over longer digestion times or digest storage times as in manual or automated offline digestion methods. In this report, we implemented the method on an Agilent 1290 Infinity II LC system equipped with a Multisampler. The system performs a complete digestion workflow including denaturation, disulfide reduction, cysteine alkylation, buffer exchange, and tryptic digestion. We demonstrated that the system is capable of digesting monoclonal antibodies and other proteins with excellent efficiency and is robust and reproducible and produces fewer artifacts than manually prepared digests. In addition, it consumes only a few micrograms of material as most of the digested sample protein is subjected to LC-MS analysis.
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Affiliation(s)
- Jason Richardson
- Process Development, Amgen Inc., One Amgen Center Drive, Thousand Oaks, California 91320, United States
| | - Zhongqi Zhang
- Process Development, Amgen Inc., One Amgen Center Drive, Thousand Oaks, California 91320, United States
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3
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Mun DG, Joshi NS, Budhraja R, Sachdeva GS, Kang T, Bhat FA, Ding H, Madden BJ, Zhong J, Pandey A. Automated Sample Preparation Workflow for Tandem Mass Tag-Based Proteomics. JOURNAL OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY 2023; 34:2087-2092. [PMID: 37657774 PMCID: PMC10557128 DOI: 10.1021/jasms.3c00095] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/14/2023] [Revised: 06/16/2023] [Accepted: 06/16/2023] [Indexed: 09/03/2023]
Abstract
Although tandem mass tag (TMT)-based isobaric labeling has become a powerful approach for multiplexed protein quantitation, automating the workflow for this technique has not been easy to achieve for widespread adoption. This is because preparation of TMT-labeled peptide samples involves multiple steps ranging from protein extraction, denaturation, reduction, and alkylation to tryptic digestion, desalting, labeling, and cleanup, all of which require a high level of proficiency. The variability resulting from multiple processing steps is inherently problematic, especially with large-scale clinical studies that involve hundreds of samples where reproducibility is critical for quantitation. Here, we sought to compare the performance of a recently introduced platform, AccelerOme, for an automated proteomic workflow employing TMT labeling with the manual processing of samples. Cell pellets were prepared and subjected to a 16-plex experiment using an automated platform and a conventional manual protocol. Single-shot liquid chromatography with tandem mass spectrometry analysis revealed a higher number of proteins and peptides identified using the automated platform. Efficiency of tryptic digestion, alkylation, and TMT labeling were similar in both manual and automated processes. In addition, comparison of quantitation accuracy and precision showed similar performance in an automated workflow compared to manual sample preparation by an expert. Overall, we demonstrated that the automated platform performs at a level similar to a manual process performed by an expert for TMT-based proteomics. We anticipate that this automated workflow will increasingly replace manual pipelines and has the potential to be applied to large-scale TMT-based studies, providing robust results and high sample throughput.
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Affiliation(s)
- Dong-Gi Mun
- Department
of Laboratory Medicine and Pathology, Mayo
Clinic, 200 First Street SW, Rochester, Minnesota 55905, United States
| | - Neha S. Joshi
- Department
of Laboratory Medicine and Pathology, Mayo
Clinic, 200 First Street SW, Rochester, Minnesota 55905, United States
- Manipal
Academy of Higher Education, Manipal, Karnataka 576104, India
| | - Rohit Budhraja
- Department
of Laboratory Medicine and Pathology, Mayo
Clinic, 200 First Street SW, Rochester, Minnesota 55905, United States
| | - Gunveen S. Sachdeva
- Department
of Laboratory Medicine and Pathology, Mayo
Clinic, 200 First Street SW, Rochester, Minnesota 55905, United States
| | - Taewook Kang
- Department
of Laboratory Medicine and Pathology, Mayo
Clinic, 200 First Street SW, Rochester, Minnesota 55905, United States
| | - Firdous A. Bhat
- Department
of Laboratory Medicine and Pathology, Mayo
Clinic, 200 First Street SW, Rochester, Minnesota 55905, United States
| | - Husheng Ding
- Department
of Laboratory Medicine and Pathology, Mayo
Clinic, 200 First Street SW, Rochester, Minnesota 55905, United States
| | | | - Jun Zhong
- Department
of Laboratory Medicine and Pathology, Mayo
Clinic, 200 First Street SW, Rochester, Minnesota 55905, United States
| | - Akhilesh Pandey
- Department
of Laboratory Medicine and Pathology, Mayo
Clinic, 200 First Street SW, Rochester, Minnesota 55905, United States
- Manipal
Academy of Higher Education, Manipal, Karnataka 576104, India
- Center
for Individualized Medicine, Mayo Clinic, Rochester, Minnesota 55905, United States
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4
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Gil J, Rezeli M, Lutz EG, Kim Y, Sugihara Y, Malm J, Semenov YR, Yu KH, Nguyen N, Wan G, Kemény LV, Kárpáti S, Németh IB, Marko-Varga G. An Observational Study on the Molecular Profiling of Primary Melanomas Reveals a Progression Dependence on Mitochondrial Activation. Cancers (Basel) 2021; 13:6066. [PMID: 34885173 PMCID: PMC8657311 DOI: 10.3390/cancers13236066] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2021] [Revised: 11/29/2021] [Accepted: 11/30/2021] [Indexed: 12/13/2022] Open
Abstract
Melanoma in advanced stages is one of the most aggressive tumors and the deadliest of skin cancers. To date, the histopathological staging focuses on tumor thickness, and clinical staging is a major estimate of the clinical behavior of primary melanoma. Here we report on an observational study with in-depth molecular profiling at the protein level including post-translational modifications (PTMs) on eleven primary tumors from melanoma patients. Global proteomics, phosphoproteomics, and acetylomics were performed on each sample. We observed an up-regulation of key mitochondrial functions, including the mitochondrial translation machinery and the down-regulation of structural proteins involved in cell adhesion, the cytoskeleton organization, and epidermis development, which dictates the progression of the disease. Additionally, the PTM level pathways related to RNA processing and transport, as well as chromatin organization, were dysregulated in relation to the progression of melanoma. Most of the pathways dysregulated in this cohort were enriched in genes differentially expressed at the transcript level when similar groups are compared or metastasis to primary melanomas. At the genome level, we found significant differences in the mutation profiles between metastatic and primary melanomas. Our findings also highlighted sex-related differences in the molecular profiles. Remarkably, primary melanomas in women showed higher levels of antigen processing and presentation, and activation of the immune system response. Our results provide novel insights, relevant for developing personalized precision treatments for melanoma patients.
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Affiliation(s)
- Jeovanis Gil
- Division of Oncology, Department of Clinical Sciences, Lund University, 222 42 Lund, Sweden; (Y.K.); (Y.S.); (G.M.-V.)
- Section for Clinical Chemistry, Department of Translational Medicine, Lund University, Skåne University Hospital Malmö, 205 02 Malmö, Sweden;
| | - Melinda Rezeli
- Clinical Protein Science & Imaging, Biomedical Centre, Department of Biomedical Engineering, Lund University, 222 42 Lund, Sweden;
| | - Elmar G. Lutz
- Department of Dermatology, Venereology and Dermatooncology, Semmelweis University, 1085 Budapest, Hungary; (E.G.L.); (L.V.K.); (S.K.)
| | - Yonghyo Kim
- Division of Oncology, Department of Clinical Sciences, Lund University, 222 42 Lund, Sweden; (Y.K.); (Y.S.); (G.M.-V.)
- Data Convergence Drug Research Center, Therapeutics and Biotechnology Division, Korea Research Institute of Chemical Technology (KRICT), Daejeon 34114, Korea
| | - Yutaka Sugihara
- Division of Oncology, Department of Clinical Sciences, Lund University, 222 42 Lund, Sweden; (Y.K.); (Y.S.); (G.M.-V.)
| | - Johan Malm
- Section for Clinical Chemistry, Department of Translational Medicine, Lund University, Skåne University Hospital Malmö, 205 02 Malmö, Sweden;
| | - Yevgeniy R. Semenov
- Department of Dermatology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02110, USA; (Y.R.S.); (N.N.); (G.W.)
| | - Kun-Hsing Yu
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA 02115, USA;
| | - Nga Nguyen
- Department of Dermatology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02110, USA; (Y.R.S.); (N.N.); (G.W.)
| | - Guihong Wan
- Department of Dermatology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02110, USA; (Y.R.S.); (N.N.); (G.W.)
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA 02115, USA;
| | - Lajos V. Kemény
- Department of Dermatology, Venereology and Dermatooncology, Semmelweis University, 1085 Budapest, Hungary; (E.G.L.); (L.V.K.); (S.K.)
| | - Sarolta Kárpáti
- Department of Dermatology, Venereology and Dermatooncology, Semmelweis University, 1085 Budapest, Hungary; (E.G.L.); (L.V.K.); (S.K.)
| | - István Balázs Németh
- Department of Dermatology and Allergology, University of Szeged, 6720 Szeged, Hungary;
| | - György Marko-Varga
- Division of Oncology, Department of Clinical Sciences, Lund University, 222 42 Lund, Sweden; (Y.K.); (Y.S.); (G.M.-V.)
- Chemical Genomics Global Research Lab, Department of Biotechnology, College of Life Science and Biotechnology, Yonsei University, Seoul 03722, Korea
- 1st Department of Surgery, Tokyo Medical University, Tokyo 160-8582, Japan
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5
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Di Sanzo S, Spengler K, Leheis A, Kirkpatrick JM, Rändler TL, Baldensperger T, Dau T, Henning C, Parca L, Marx C, Wang ZQ, Glomb MA, Ori A, Heller R. Mapping protein carboxymethylation sites provides insights into their role in proteostasis and cell proliferation. Nat Commun 2021; 12:6743. [PMID: 34795246 PMCID: PMC8602705 DOI: 10.1038/s41467-021-26982-6] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2020] [Accepted: 10/29/2021] [Indexed: 12/19/2022] Open
Abstract
Posttranslational mechanisms play a key role in modifying the abundance and function of cellular proteins. Among these, modification by advanced glycation end products has been shown to accumulate during aging and age-associated diseases but specific protein targets and functional consequences remain largely unexplored. Here, we devise a proteomic strategy to identify sites of carboxymethyllysine modification, one of the most abundant advanced glycation end products. We identify over 1000 sites of protein carboxymethylation in mouse and primary human cells treated with the glycating agent glyoxal. By using quantitative proteomics, we find that protein glycation triggers a proteotoxic response and indirectly affects the protein degradation machinery. In primary endothelial cells, we show that glyoxal induces cell cycle perturbation and that carboxymethyllysine modification reduces acetylation of tubulins and impairs microtubule dynamics. Our data demonstrate the relevance of carboxymethyllysine modification for cellular function and pinpoint specific protein networks that might become compromised during aging.
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Affiliation(s)
- Simone Di Sanzo
- grid.418245.e0000 0000 9999 5706Leibniz Institute on Aging – Fritz Lipmann Institute (FLI), 07745 Jena, Germany
| | - Katrin Spengler
- grid.275559.90000 0000 8517 6224Institute of Molecular Cell Biology, Center for Molecular Biomedicine, Jena University Hospital, 07743 Jena, Germany
| | - Anja Leheis
- grid.275559.90000 0000 8517 6224Institute of Molecular Cell Biology, Center for Molecular Biomedicine, Jena University Hospital, 07743 Jena, Germany
| | - Joanna M. Kirkpatrick
- grid.418245.e0000 0000 9999 5706Leibniz Institute on Aging – Fritz Lipmann Institute (FLI), 07745 Jena, Germany ,grid.451388.30000 0004 1795 1830Present Address: Proteomics Science Technology Platform, The Francis Crick Institute, MW1 1AT London, UK
| | - Theresa L. Rändler
- grid.275559.90000 0000 8517 6224Institute of Molecular Cell Biology, Center for Molecular Biomedicine, Jena University Hospital, 07743 Jena, Germany
| | - Tim Baldensperger
- grid.9018.00000 0001 0679 2801Institute of Chemistry, Food Chemistry, Martin-Luther-University Halle-Wittenberg, 06120 Halle/Saale, Germany
| | - Therese Dau
- grid.418245.e0000 0000 9999 5706Leibniz Institute on Aging – Fritz Lipmann Institute (FLI), 07745 Jena, Germany
| | - Christian Henning
- grid.9018.00000 0001 0679 2801Institute of Chemistry, Food Chemistry, Martin-Luther-University Halle-Wittenberg, 06120 Halle/Saale, Germany
| | - Luca Parca
- grid.413503.00000 0004 1757 9135Bioinformatics Unit, IRCCS Casa Sollievo della Sofferenza, S. Giovanni Rotondo, Italy
| | - Christian Marx
- grid.418245.e0000 0000 9999 5706Leibniz Institute on Aging – Fritz Lipmann Institute (FLI), 07745 Jena, Germany
| | - Zhao-Qi Wang
- grid.418245.e0000 0000 9999 5706Leibniz Institute on Aging – Fritz Lipmann Institute (FLI), 07745 Jena, Germany ,grid.9613.d0000 0001 1939 2794Faculty of Biological Sciences, Friedrich-Schiller-University of Jena, Jena, Germany
| | - Marcus A. Glomb
- grid.9018.00000 0001 0679 2801Institute of Chemistry, Food Chemistry, Martin-Luther-University Halle-Wittenberg, 06120 Halle/Saale, Germany
| | - Alessandro Ori
- Leibniz Institute on Aging - Fritz Lipmann Institute (FLI), 07745, Jena, Germany.
| | - Regine Heller
- Institute of Molecular Cell Biology, Center for Molecular Biomedicine, Jena University Hospital, 07743, Jena, Germany.
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6
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Betancourt LH, Gil J, Sanchez A, Doma V, Kuras M, Murillo JR, Velasquez E, Çakır U, Kim Y, Sugihara Y, Parada IP, Szeitz B, Appelqvist R, Wieslander E, Welinder C, de Almeida NP, Woldmar N, Marko‐Varga M, Eriksson J, Pawłowski K, Baldetorp B, Ingvar C, Olsson H, Lundgren L, Lindberg H, Oskolas H, Lee B, Berge E, Sjögren M, Eriksson C, Kim D, Kwon HJ, Knudsen B, Rezeli M, Malm J, Hong R, Horvath P, Szász AM, Tímár J, Kárpáti S, Horvatovich P, Miliotis T, Nishimura T, Kato H, Steinfelder E, Oppermann M, Miller K, Florindi F, Zhou Q, Domont GB, Pizzatti L, Nogueira FCS, Szadai L, Németh IB, Ekedahl H, Fenyö D, Marko‐Varga G. The Human Melanoma Proteome Atlas-Complementing the melanoma transcriptome. Clin Transl Med 2021; 11:e451. [PMID: 34323402 PMCID: PMC8299047 DOI: 10.1002/ctm2.451] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2021] [Revised: 05/17/2021] [Accepted: 05/20/2021] [Indexed: 12/12/2022] Open
Abstract
The MM500 meta-study aims to establish a knowledge basis of the tumor proteome to serve as a complement to genome and transcriptome studies. Somatic mutations and their effect on the transcriptome have been extensively characterized in melanoma. However, the effects of these genetic changes on the proteomic landscape and the impact on cellular processes in melanoma remain poorly understood. In this study, the quantitative mass-spectrometry-based proteomic analysis is interfaced with pathological tumor characterization, and associated with clinical data. The melanoma proteome landscape, obtained by the analysis of 505 well-annotated melanoma tumor samples, is defined based on almost 16 000 proteins, including mutated proteoforms of driver genes. More than 50 million MS/MS spectra were analyzed, resulting in approximately 13,6 million peptide spectrum matches (PSMs). Altogether 13 176 protein-coding genes, represented by 366 172 peptides, in addition to 52 000 phosphorylation sites, and 4 400 acetylation sites were successfully annotated. This data covers 65% and 74% of the predicted and identified human proteome, respectively. A high degree of correlation (Pearson, up to 0.54) with the melanoma transcriptome of the TCGA repository, with an overlap of 12 751 gene products, was found. Mapping of the expressed proteins with quantitation, spatiotemporal localization, mutations, splice isoforms, and PTM variants was proven not to be predicted by genome sequencing alone. The melanoma tumor molecular map was complemented by analysis of blood protein expression, including data on proteins regulated after immunotherapy. By adding these key proteomic pillars, the MM500 study expands the knowledge on melanoma disease.
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7
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Betancourt LH, Gil J, Kim Y, Doma V, Çakır U, Sanchez A, Murillo JR, Kuras M, Parada IP, Sugihara Y, Appelqvist R, Wieslander E, Welinder C, Velasquez E, de Almeida NP, Woldmar N, Marko‐Varga M, Pawłowski K, Eriksson J, Szeitz B, Baldetorp B, Ingvar C, Olsson H, Lundgren L, Lindberg H, Oskolas H, Lee B, Berge E, Sjögren M, Eriksson C, Kim D, Kwon HJ, Knudsen B, Rezeli M, Hong R, Horvatovich P, Miliotis T, Nishimura T, Kato H, Steinfelder E, Oppermann M, Miller K, Florindi F, Zhou Q, Domont GB, Pizzatti L, Nogueira FCS, Horvath P, Szadai L, Tímár J, Kárpáti S, Szász AM, Malm J, Fenyö D, Ekedahl H, Németh IB, Marko‐Varga G. The human melanoma proteome atlas-Defining the molecular pathology. Clin Transl Med 2021; 11:e473. [PMID: 34323403 PMCID: PMC8255060 DOI: 10.1002/ctm2.473] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2021] [Revised: 06/03/2021] [Accepted: 06/08/2021] [Indexed: 01/19/2023] Open
Abstract
The MM500 study is an initiative to map the protein levels in malignant melanoma tumor samples, focused on in-depth histopathology coupled to proteome characterization. The protein levels and localization were determined for a broad spectrum of diverse, surgically isolated melanoma tumors originating from multiple body locations. More than 15,500 proteoforms were identified by mass spectrometry, from which chromosomal and subcellular localization was annotated within both primary and metastatic melanoma. The data generated by global proteomic experiments covered 72% of the proteins identified in the recently reported high stringency blueprint of the human proteome. This study contributes to the NIH Cancer Moonshot initiative combining detailed histopathological presentation with the molecular characterization for 505 melanoma tumor samples, localized in 26 organs from 232 patients.
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8
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Liu X, Gygi SP, Paulo JA. A Semiautomated Paramagnetic Bead-Based Platform for Isobaric Tag Sample Preparation. JOURNAL OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY 2021; 32:1519-1529. [PMID: 33950666 PMCID: PMC8210952 DOI: 10.1021/jasms.1c00077] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/12/2023]
Abstract
The development of streamlined and high-throughput sample processing workflows is important for capitalizing on emerging advances and innovations in mass spectrometry-based applications. While the adaptation of new technologies and improved methodologies is fast paced, automation of upstream sample processing often lags. Here we have developed and implemented a semiautomated paramagnetic bead-based platform for isobaric tag sample preparation. We benchmarked the robot-assisted platform by comparing the protein abundance profiles of six common parental laboratory yeast strains in triplicate TMTpro16-plex experiments against an identical set of experiments in which the samples were manually processed. Both sets of experiments quantified similar numbers of proteins and peptides with good reproducibility. Using these data, we constructed an interactive website to explore the proteome profiles of six yeast strains. We also provide the community with open-source templates for automating routine proteomics workflows on an opentrons OT-2 liquid handler. The robot-assisted platform offers a versatile and affordable option for reproducible sample processing for a wide range of protein profiling applications.
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Affiliation(s)
- Xinyue Liu
- Department of Cell Biology, Harvard Medical School, Boston, Massachusetts 02115, United States
| | - Steven P Gygi
- Department of Cell Biology, Harvard Medical School, Boston, Massachusetts 02115, United States
| | - Joao A Paulo
- Department of Cell Biology, Harvard Medical School, Boston, Massachusetts 02115, United States
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9
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Abstract
Proteomics, the large-scale study of all proteins of an organism or system, is a powerful tool for studying biological systems. It can provide a holistic view of the physiological and biochemical states of given samples through identification and quantification of large numbers of peptides and proteins. In forensic science, proteomics can be used as a confirmatory and orthogonal technique for well-built genomic analyses. Proteomics is highly valuable in cases where nucleic acids are absent or degraded, such as hair and bone samples. It can be used to identify body fluids, ethnic group, gender, individual, and estimate post-mortem interval using bone, muscle, and decomposition fluid samples. Compared to genomic analysis, proteomics can provide a better global picture of a sample. It has been used in forensic science for a wide range of sample types and applications. In this review, we briefly introduce proteomic methods, including sample preparation techniques, data acquisition using liquid chromatography-tandem mass spectrometry, and data analysis using database search, spectral library search, and de novo sequencing. We also summarize recent applications in the past decade of proteomics in forensic science with a special focus on human samples, including hair, bone, body fluids, fingernail, muscle, brain, and fingermark, and address the challenges, considerations, and future developments of forensic proteomics.
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10
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Kuras M, Woldmar N, Kim Y, Hefner M, Malm J, Moldvay J, Döme B, Fillinger J, Pizzatti L, Gil J, Marko-Varga G, Rezeli M. Proteomic Workflows for High-Quality Quantitative Proteome and Post-Translational Modification Analysis of Clinically Relevant Samples from Formalin-Fixed Paraffin-Embedded Archives. J Proteome Res 2020; 20:1027-1039. [PMID: 33301673 DOI: 10.1021/acs.jproteome.0c00850] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
Well-characterized archival formalin-fixed paraffin-embedded (FFPE) tissues are of much value for prospective biomarker discovery studies, and protocols that offer high throughput and good reproducibility are essential in proteomics. Therefore, we implemented efficient paraffin removal and protein extraction from FFPE tissues followed by an optimized two-enzyme digestion using suspension trapping (S-Trap). The protocol was then combined with TMTpro 16plex labeling and applied to lung adenocarcinoma patient samples. In total, 9585 proteins were identified, and proteins related to the clinical outcome were detected. Because acetylation is known to play a major role in cancer development, a fast on-trap acetylation protocol was developed for studying endogenous lysine acetylation, which allows identification and localization of the lysine acetylation together with quantitative comparison between samples. We demonstrated that FFPE tissues are equivalent to frozen tissues to study the degree of acetylation between patients. In summary, we present a reproducible sample preparation workflow optimized for FFPE tissues that resolves known proteomic-related challenges. We demonstrate compatibility of the S-Trap with isobaric labeling and for the first time, we prove that it is feasible to study endogenous lysine acetylation stoichiometry in FFPE tissues, contributing to better utility of the existing global tissue archives. The MS proteomic data have been deposited to the ProteomeXchange Consortium via the PRIDE partner repository with the data set identifiers PXD020157, PXD021986, and PXD021964.
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Affiliation(s)
- Magdalena Kuras
- Div. Clinical Chemistry, Dept. of Translational Medicine, Lund University, Skåne University Hospital Malmö, Malmö 20502, Sweden
| | - Nicole Woldmar
- Div. Clinical Protein Science & Imaging, Dept. of Clinical Sciences (Lund) and Dept. of Biomedical Engineering, Lund University, Lund 22100, Sweden.,Laboratory of Molecular Biology and Blood Proteomics - LADETEC, Institute of Chemistry, Federal University of Rio de Janeiro, Rio de Janeiro 21941-598, Brazil
| | - Yonghyo Kim
- Div. Clinical Protein Science & Imaging, Dept. of Clinical Sciences (Lund) and Dept. of Biomedical Engineering, Lund University, Lund 22100, Sweden
| | - Max Hefner
- Div. Clinical Protein Science & Imaging, Dept. of Clinical Sciences (Lund) and Dept. of Biomedical Engineering, Lund University, Lund 22100, Sweden
| | - Johan Malm
- Div. Clinical Chemistry, Dept. of Translational Medicine, Lund University, Skåne University Hospital Malmö, Malmö 20502, Sweden
| | - Judit Moldvay
- Dept. of Pulmonology, National Korányi Institute of Pulmonology, Semmelweis University, Budapest 1085, Hungary
| | - Balázs Döme
- Dept. of Pulmonology, National Korányi Institute of Pulmonology, Semmelweis University, Budapest 1085, Hungary.,Dept. of Thoracic Surgery, National Institute of Oncology, Semmelweis University, Budapest 1085, Hungary.,Div. of Thoracic Surgery, Dept. of Surgery, Comprehensive Cancer Center Vienna, Medical University Vienna, Vienna 1090, Austria
| | - János Fillinger
- Dept. of Pulmonology, National Korányi Institute of Pulmonology, Semmelweis University, Budapest 1085, Hungary.,Dept. of Thoracic Surgery, National Institute of Oncology, Semmelweis University, Budapest 1085, Hungary
| | - Luciana Pizzatti
- Laboratory of Molecular Biology and Blood Proteomics - LADETEC, Institute of Chemistry, Federal University of Rio de Janeiro, Rio de Janeiro 21941-598, Brazil
| | - Jeovanis Gil
- Div. Clinical Protein Science & Imaging, Dept. of Clinical Sciences (Lund) and Dept. of Biomedical Engineering, Lund University, Lund 22100, Sweden
| | - György Marko-Varga
- Div. Clinical Protein Science & Imaging, Dept. of Clinical Sciences (Lund) and Dept. of Biomedical Engineering, Lund University, Lund 22100, Sweden
| | - Melinda Rezeli
- Div. Clinical Protein Science & Imaging, Dept. of Clinical Sciences (Lund) and Dept. of Biomedical Engineering, Lund University, Lund 22100, Sweden
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11
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Sanchez A, Kuras M, Murillo JR, Pla I, Pawlowski K, Szasz AM, Gil J, Nogueira FCS, Perez-Riverol Y, Eriksson J, Appelqvist R, Miliotis T, Kim Y, Baldetorp B, Ingvar C, Olsson H, Lundgren L, Ekedahl H, Horvatovich P, Sugihara Y, Welinder C, Wieslander E, Kwon HJ, Domont GB, Malm J, Rezeli M, Betancourt LH, Marko-Varga G. Novel functional proteins coded by the human genome discovered in metastases of melanoma patients. Cell Biol Toxicol 2020; 36:261-272. [PMID: 31599373 PMCID: PMC7320927 DOI: 10.1007/s10565-019-09494-4] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2019] [Accepted: 09/02/2019] [Indexed: 12/18/2022]
Abstract
In the advanced stages, malignant melanoma (MM) has a very poor prognosis. Due to tremendous efforts in cancer research over the last 10 years, and the introduction of novel therapies such as targeted therapies and immunomodulators, the rather dark horizon of the median survival has dramatically changed from under 1 year to several years. With the advent of proteomics, deep-mining studies can reach low-abundant expression levels. The complexity of the proteome, however, still surpasses the dynamic range capabilities of current analytical techniques. Consequently, many predicted protein products with potential biological functions have not yet been verified in experimental proteomic data. This category of 'missing proteins' (MP) is comprised of all proteins that have been predicted but are currently unverified. As part of the initiative launched in 2016 in the USA, the European Cancer Moonshot Center has performed numerous deep proteomics analyses on samples from MM patients. In this study, nine MPs were clearly identified by mass spectrometry in MM metastases. Some MPs significantly correlated with proteins that possess identical PFAM structural domains; and other MPs were significantly associated with cancer-related proteins. This is the first study to our knowledge, where unknown and novel proteins have been annotated in metastatic melanoma tumour tissue.
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Affiliation(s)
- Aniel Sanchez
- Section for Clinical Chemistry, Department of Translational Medicine, Skåne University Hospital Malmö, Lund University, 205 02, Malmö, Sweden.
| | - Magdalena Kuras
- Clinical Protein Science & Imaging, Biomedical Centre, Department of Biomedical Engineering, Lund University, BMC D13, 221 84, Lund, Sweden
| | - Jimmy Rodriguez Murillo
- Clinical Protein Science & Imaging, Biomedical Centre, Department of Biomedical Engineering, Lund University, BMC D13, 221 84, Lund, Sweden
| | - Indira Pla
- Section for Clinical Chemistry, Department of Translational Medicine, Skåne University Hospital Malmö, Lund University, 205 02, Malmö, Sweden
| | - Krzysztof Pawlowski
- Section for Clinical Chemistry, Department of Translational Medicine, Skåne University Hospital Malmö, Lund University, 205 02, Malmö, Sweden
- Biology, Warsaw University of Life Sciences, Warsaw, Poland
| | - A Marcell Szasz
- Cancer Center, Semmelweis University, Budapest, 1083, Hungary
| | - Jeovanis Gil
- Clinical Protein Science & Imaging, Biomedical Centre, Department of Biomedical Engineering, Lund University, BMC D13, 221 84, Lund, Sweden
| | - Fábio C S Nogueira
- Proteomics Unit, Department of Biochemistry, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil
- Laboratory of Proteomics, LADETEC, Institute of Chemistry, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil
| | - Yasset Perez-Riverol
- European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Trust Genome Campus, CB10 1SD Hinxton, Cambridge, UK
| | - Jonatan Eriksson
- Clinical Protein Science & Imaging, Biomedical Centre, Department of Biomedical Engineering, Lund University, BMC D13, 221 84, Lund, Sweden
| | - Roger Appelqvist
- Clinical Protein Science & Imaging, Biomedical Centre, Department of Biomedical Engineering, Lund University, BMC D13, 221 84, Lund, Sweden
| | | | - Yonghyo Kim
- Clinical Protein Science & Imaging, Biomedical Centre, Department of Biomedical Engineering, Lund University, BMC D13, 221 84, Lund, Sweden
| | - Bo Baldetorp
- Division of Oncology and Pathology, Department of Clinical Sciences Lund, Lund University, 221 85, Lund, Sweden
| | - Christian Ingvar
- Department of Surgery, Clinical Sciences, Skåne University Hospital, Lund University, Lund, Sweden
| | - Håkan Olsson
- Division of Oncology and Pathology, Department of Clinical Sciences Lund, Lund University, 221 85, Lund, Sweden
| | - Lotta Lundgren
- Division of Oncology and Pathology, Department of Clinical Sciences Lund, Lund University, 221 85, Lund, Sweden
- Department of Hematology, Oncology and Radiation Physics, Skåne University Hospital, Lund, Sweden
| | - Henrik Ekedahl
- Division of Oncology and Pathology, Department of Clinical Sciences Lund, Lund University, 221 85, Lund, Sweden
| | - Peter Horvatovich
- Department of Analytical Biochemistry, Faculty of Science and Engineering, University of Groningen, Groningen, The Netherlands
| | - Yutaka Sugihara
- Division of Oncology and Pathology, Department of Clinical Sciences Lund, Lund University, 221 85, Lund, Sweden
| | - Charlotte Welinder
- Division of Oncology and Pathology, Department of Clinical Sciences Lund, Lund University, 221 85, Lund, Sweden
| | - Elisabet Wieslander
- Division of Oncology and Pathology, Department of Clinical Sciences Lund, Lund University, 221 85, Lund, Sweden
| | - Ho Jeong Kwon
- Department of Biotechnology, Yonsei University, Seoul, South Korea
| | - Gilberto B Domont
- Proteomics Unit, Department of Biochemistry, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil
| | - Johan Malm
- Section for Clinical Chemistry, Department of Translational Medicine, Skåne University Hospital Malmö, Lund University, 205 02, Malmö, Sweden
| | - Melinda Rezeli
- Clinical Protein Science & Imaging, Biomedical Centre, Department of Biomedical Engineering, Lund University, BMC D13, 221 84, Lund, Sweden
| | - Lazaro Hiram Betancourt
- Clinical Protein Science & Imaging, Biomedical Centre, Department of Biomedical Engineering, Lund University, BMC D13, 221 84, Lund, Sweden.
| | - György Marko-Varga
- Clinical Protein Science & Imaging, Biomedical Centre, Department of Biomedical Engineering, Lund University, BMC D13, 221 84, Lund, Sweden
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12
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Kim Y, Gil J, Pla I, Sanchez A, Betancourt LH, Lee B, Appelqvist R, Ingvar C, Lundgren L, Olsson H, Baldetorp B, Kwon HJ, Oskolás H, Rezeli M, Doma V, Kárpáti S, Szasz AM, Németh IB, Malm J, Marko-Varga G. Protein Expression in Metastatic Melanoma and the Link to Disease Presentation in a Range of Tumor Phenotypes. Cancers (Basel) 2020; 12:E767. [PMID: 32213878 PMCID: PMC7140007 DOI: 10.3390/cancers12030767] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2020] [Revised: 03/11/2020] [Accepted: 03/18/2020] [Indexed: 12/31/2022] Open
Abstract
Malignant melanoma is among the most aggressive skin cancers and it has among the highest metastatic potentials. Although surgery to remove the primary tumor is the gold standard treatment, once melanoma progresses and metastasizes to the lymph nodes and distal organs, i.e., metastatic melanoma (MM), the usual outcome is decreased survival. To improve survival rates and life span, advanced treatments have focused on the success of targeted therapies in the MAPK pathway that are based on BRAF (BRAF V600E) and MEK. The majority of patients with tumors that have higher expression of BRAF V600E show poorer prognosis than patients with a lower level of the mutated protein. Based on the molecular basis of melanoma, these findings are supported by distinct tumor phenotypes determined from differences in tumor heterogeneity and protein expression profiles. With these aspects in mind, continued challenges are to: (1) deconvolute the complexity and heterogeneity of MM; (2) identify the signaling pathways involved; and (3) determine protein expression to develop targeted therapies. Here, we provide an overview of the results from protein expression in MM and the link to disease presentation in a variety of tumor phenotypes and how these will overcome the challenges of clinical problems and suggest new promising approaches in metastatic melanoma and cancer therapy.
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Affiliation(s)
- Yonghyo Kim
- Clinical Protein Science & Imaging, Biomedical Centre, Department of Biomedical Engineering, Lund University, 221 84 Lund, Sweden; (J.G.); (I.P.); (A.S.); (L.H.B.); (B.L.); (R.A.); (H.O.); (M.R.); (A.M.S.); (J.M.); (G.M.-V.)
- Division of Oncology and Pathology, Department of Clinical Sciences Lund, Lund University, 221 85 Lund, Sweden; (L.L.); (H.O.); (B.B.)
| | - Jeovanis Gil
- Clinical Protein Science & Imaging, Biomedical Centre, Department of Biomedical Engineering, Lund University, 221 84 Lund, Sweden; (J.G.); (I.P.); (A.S.); (L.H.B.); (B.L.); (R.A.); (H.O.); (M.R.); (A.M.S.); (J.M.); (G.M.-V.)
- Division of Oncology and Pathology, Department of Clinical Sciences Lund, Lund University, 221 85 Lund, Sweden; (L.L.); (H.O.); (B.B.)
| | - Indira Pla
- Clinical Protein Science & Imaging, Biomedical Centre, Department of Biomedical Engineering, Lund University, 221 84 Lund, Sweden; (J.G.); (I.P.); (A.S.); (L.H.B.); (B.L.); (R.A.); (H.O.); (M.R.); (A.M.S.); (J.M.); (G.M.-V.)
- Section for Clinical Chemistry, Department of Translational Medicine, Lund University, Skåne University Hospital Malmö, 205 02 Malmö, Sweden
| | - Aniel Sanchez
- Clinical Protein Science & Imaging, Biomedical Centre, Department of Biomedical Engineering, Lund University, 221 84 Lund, Sweden; (J.G.); (I.P.); (A.S.); (L.H.B.); (B.L.); (R.A.); (H.O.); (M.R.); (A.M.S.); (J.M.); (G.M.-V.)
- Section for Clinical Chemistry, Department of Translational Medicine, Lund University, Skåne University Hospital Malmö, 205 02 Malmö, Sweden
| | - Lazaro Hiram Betancourt
- Clinical Protein Science & Imaging, Biomedical Centre, Department of Biomedical Engineering, Lund University, 221 84 Lund, Sweden; (J.G.); (I.P.); (A.S.); (L.H.B.); (B.L.); (R.A.); (H.O.); (M.R.); (A.M.S.); (J.M.); (G.M.-V.)
| | - Boram Lee
- Clinical Protein Science & Imaging, Biomedical Centre, Department of Biomedical Engineering, Lund University, 221 84 Lund, Sweden; (J.G.); (I.P.); (A.S.); (L.H.B.); (B.L.); (R.A.); (H.O.); (M.R.); (A.M.S.); (J.M.); (G.M.-V.)
| | - Roger Appelqvist
- Clinical Protein Science & Imaging, Biomedical Centre, Department of Biomedical Engineering, Lund University, 221 84 Lund, Sweden; (J.G.); (I.P.); (A.S.); (L.H.B.); (B.L.); (R.A.); (H.O.); (M.R.); (A.M.S.); (J.M.); (G.M.-V.)
| | - Christian Ingvar
- Department of Surgery, Clinical Sciences, Lund University, Skåne University Hospital Lund, 222 42 Lund, Sweden;
| | - Lotta Lundgren
- Division of Oncology and Pathology, Department of Clinical Sciences Lund, Lund University, 221 85 Lund, Sweden; (L.L.); (H.O.); (B.B.)
| | - Håkan Olsson
- Division of Oncology and Pathology, Department of Clinical Sciences Lund, Lund University, 221 85 Lund, Sweden; (L.L.); (H.O.); (B.B.)
| | - Bo Baldetorp
- Division of Oncology and Pathology, Department of Clinical Sciences Lund, Lund University, 221 85 Lund, Sweden; (L.L.); (H.O.); (B.B.)
| | - Ho Jeong Kwon
- Chemical Genomics Global Research Lab, Department of Biotechnology, College of Life Science and Biotechnology, Yonsei University, Seoul 03722, Korea;
| | - Henriett Oskolás
- Clinical Protein Science & Imaging, Biomedical Centre, Department of Biomedical Engineering, Lund University, 221 84 Lund, Sweden; (J.G.); (I.P.); (A.S.); (L.H.B.); (B.L.); (R.A.); (H.O.); (M.R.); (A.M.S.); (J.M.); (G.M.-V.)
| | - Melinda Rezeli
- Clinical Protein Science & Imaging, Biomedical Centre, Department of Biomedical Engineering, Lund University, 221 84 Lund, Sweden; (J.G.); (I.P.); (A.S.); (L.H.B.); (B.L.); (R.A.); (H.O.); (M.R.); (A.M.S.); (J.M.); (G.M.-V.)
| | - Viktoria Doma
- Department of Dermatology, Venereology and Dermatooncology, Semmelweis University, 1085 Budapest, Hungary; (V.D.); (S.K.)
| | - Sarolta Kárpáti
- Department of Dermatology, Venereology and Dermatooncology, Semmelweis University, 1085 Budapest, Hungary; (V.D.); (S.K.)
| | - A. Marcell Szasz
- Clinical Protein Science & Imaging, Biomedical Centre, Department of Biomedical Engineering, Lund University, 221 84 Lund, Sweden; (J.G.); (I.P.); (A.S.); (L.H.B.); (B.L.); (R.A.); (H.O.); (M.R.); (A.M.S.); (J.M.); (G.M.-V.)
- Department of Bioinformatics, Semmelweis University, 1091 Budapest, Hungary
| | - István Balázs Németh
- Department of Dermatology and Allergology, University of Szeged, H-6720 Szeged, Hungary;
| | - Johan Malm
- Clinical Protein Science & Imaging, Biomedical Centre, Department of Biomedical Engineering, Lund University, 221 84 Lund, Sweden; (J.G.); (I.P.); (A.S.); (L.H.B.); (B.L.); (R.A.); (H.O.); (M.R.); (A.M.S.); (J.M.); (G.M.-V.)
- Section for Clinical Chemistry, Department of Translational Medicine, Lund University, Skåne University Hospital Malmö, 205 02 Malmö, Sweden
| | - György Marko-Varga
- Clinical Protein Science & Imaging, Biomedical Centre, Department of Biomedical Engineering, Lund University, 221 84 Lund, Sweden; (J.G.); (I.P.); (A.S.); (L.H.B.); (B.L.); (R.A.); (H.O.); (M.R.); (A.M.S.); (J.M.); (G.M.-V.)
- Chemical Genomics Global Research Lab, Department of Biotechnology, College of Life Science and Biotechnology, Yonsei University, Seoul 03722, Korea;
- Department of Surgery, Tokyo Medical University, 6-7-1 Nishishinjiku Shinjiku-ku, Tokyo 160-0023, Japan
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13
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Müller T, Kalxdorf M, Longuespée R, Kazdal DN, Stenzinger A, Krijgsveld J. Automated sample preparation with SP3 for low-input clinical proteomics. Mol Syst Biol 2020; 16:e9111. [PMID: 32129943 PMCID: PMC6966100 DOI: 10.15252/msb.20199111] [Citation(s) in RCA: 102] [Impact Index Per Article: 25.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2019] [Revised: 12/04/2019] [Accepted: 12/05/2019] [Indexed: 12/14/2022] Open
Abstract
High-throughput and streamlined workflows are essential in clinical proteomics for standardized processing of samples from a variety of sources, including fresh-frozen tissue, FFPE tissue, or blood. To reach this goal, we have implemented single-pot solid-phase-enhanced sample preparation (SP3) on a liquid handling robot for automated processing (autoSP3) of tissue lysates in a 96-well format. AutoSP3 performs unbiased protein purification and digestion, and delivers peptides that can be directly analyzed by LCMS, thereby significantly reducing hands-on time, reducing variability in protein quantification, and improving longitudinal reproducibility. We demonstrate the distinguishing ability of autoSP3 to process low-input samples, reproducibly quantifying 500-1,000 proteins from 100 to 1,000 cells. Furthermore, we applied this approach to a cohort of clinical FFPE pulmonary adenocarcinoma (ADC) samples and recapitulated their separation into known histological growth patterns. Finally, we integrated autoSP3 with AFA ultrasonication for the automated end-to-end sample preparation and LCMS analysis of 96 intact tissue samples. Collectively, this constitutes a generic, scalable, and cost-effective workflow with minimal manual intervention, enabling reproducible tissue proteomics in a broad range of clinical and non-clinical applications.
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Affiliation(s)
- Torsten Müller
- German Cancer Research Center (DKFZ)HeidelbergGermany
- Medical FacultyHeidelberg UniversityHeidelbergGermany
| | - Mathias Kalxdorf
- German Cancer Research Center (DKFZ)HeidelbergGermany
- EMBLHeidelbergGermany
| | - Rémi Longuespée
- Department of Clinical Pharmacology and PharmacoepidemiologyHeidelberg UniversityHeidelbergGermany
| | - Daniel N Kazdal
- Institute of PathologyHeidelberg UniversityHeidelbergGermany
| | | | - Jeroen Krijgsveld
- German Cancer Research Center (DKFZ)HeidelbergGermany
- Medical FacultyHeidelberg UniversityHeidelbergGermany
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14
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Betancourt LH, Szasz AM, Kuras M, Rodriguez Murillo J, Sugihara Y, Pla I, Horvath Z, Pawłowski K, Rezeli M, Miharada K, Gil J, Eriksson J, Appelqvist R, Miliotis T, Baldetorp B, Ingvar C, Olsson H, Lundgren L, Horvatovich P, Welinder C, Wieslander E, Kwon HJ, Malm J, Nemeth IB, Jönsson G, Fenyö D, Sanchez A, Marko-Varga G. The Hidden Story of Heterogeneous B-raf V600E Mutation Quantitative Protein Expression in Metastatic Melanoma-Association with Clinical Outcome and Tumor Phenotypes. Cancers (Basel) 2019; 11:E1981. [PMID: 31835364 PMCID: PMC6966659 DOI: 10.3390/cancers11121981] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2019] [Revised: 11/23/2019] [Accepted: 12/03/2019] [Indexed: 02/07/2023] Open
Abstract
In comparison to other human cancer types, malignant melanoma exhibits the greatest amount of heterogeneity. After DNA-based detection of the BRAF V600E mutation in melanoma patients, targeted inhibitor treatment is the current recommendation. This approach, however, does not take the abundance of the therapeutic target, i.e., the B-raf V600E protein, into consideration. As shown by immunohistochemistry, the protein expression profiles of metastatic melanomas clearly reveal the existence of inter- and intra-tumor variability. Nevertheless, the technique is only semi-quantitative. To quantitate the mutant protein there is a fundamental need for more precise techniques that are aimed at defining the currently non-existent link between the levels of the target protein and subsequent drug efficacy. Using cutting-edge mass spectrometry combined with DNA and mRNA sequencing, the mutated B-raf protein within metastatic tumors was quantitated for the first time. B-raf V600E protein analysis revealed a subjacent layer of heterogeneity for mutation-positive metastatic melanomas. These were characterized into two distinct groups with different tumor morphologies, protein profiles and patient clinical outcomes. This study provides evidence that a higher level of expression in the mutated protein is associated with a more aggressive tumor progression. Our study design, comprised of surgical isolation of tumors, histopathological characterization, tissue biobanking, and protein analysis, may enable the eventual delineation of patient responders/non-responders and subsequent therapy for malignant melanoma.
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Affiliation(s)
- Lazaro Hiram Betancourt
- Clinical Protein Science & Imaging, Biomedical Centre, Department of Biomedical, Engineering, Lund University, BMC D13, 221 84 Lund, Sweden; (L.H.B.); (Z.H.); (M.R.); (J.G.); (J.E.); (R.A.); (G.M.-V.)
| | - A. Marcell Szasz
- Clinical Protein Science & Imaging, Biomedical Centre, Department of Biomedical, Engineering, Lund University, BMC D13, 221 84 Lund, Sweden; (L.H.B.); (Z.H.); (M.R.); (J.G.); (J.E.); (R.A.); (G.M.-V.)
- Cancer Center, Semmelweis University, Budapest 1083, Hungary
| | - Magdalena Kuras
- Section for Clinical Chemistry, Department of Translational Medicine, Lund University, Skåne University Hospital Malmö, 205 02 Malmö, Sweden; (M.K.); (I.P.); (K.P.); (J.M.); (A.S.)
| | - Jimmy Rodriguez Murillo
- Division of Physiological Chemistry I, Department of Medical Biochemistry and Biophysics, Karolinska Institutet, SE-17 177 Stockholm, Sweden; (J.R.M.); (Y.S.)
| | - Yutaka Sugihara
- Division of Physiological Chemistry I, Department of Medical Biochemistry and Biophysics, Karolinska Institutet, SE-17 177 Stockholm, Sweden; (J.R.M.); (Y.S.)
| | - Indira Pla
- Section for Clinical Chemistry, Department of Translational Medicine, Lund University, Skåne University Hospital Malmö, 205 02 Malmö, Sweden; (M.K.); (I.P.); (K.P.); (J.M.); (A.S.)
| | - Zsolt Horvath
- Clinical Protein Science & Imaging, Biomedical Centre, Department of Biomedical, Engineering, Lund University, BMC D13, 221 84 Lund, Sweden; (L.H.B.); (Z.H.); (M.R.); (J.G.); (J.E.); (R.A.); (G.M.-V.)
| | - Krzysztof Pawłowski
- Section for Clinical Chemistry, Department of Translational Medicine, Lund University, Skåne University Hospital Malmö, 205 02 Malmö, Sweden; (M.K.); (I.P.); (K.P.); (J.M.); (A.S.)
- Department of Biochemistry and Microbiology, Warsaw University of Life Sciences, 02-787 Warsaw, Poland
| | - Melinda Rezeli
- Clinical Protein Science & Imaging, Biomedical Centre, Department of Biomedical, Engineering, Lund University, BMC D13, 221 84 Lund, Sweden; (L.H.B.); (Z.H.); (M.R.); (J.G.); (J.E.); (R.A.); (G.M.-V.)
| | - Kenichi Miharada
- Department of Molecular Medicine and Gene Therapy, Lund Stem Cell Center, Lund University, BMC A12, Sölvegatan 17, 221 84 Lund, Sweden;
| | - Jeovanis Gil
- Clinical Protein Science & Imaging, Biomedical Centre, Department of Biomedical, Engineering, Lund University, BMC D13, 221 84 Lund, Sweden; (L.H.B.); (Z.H.); (M.R.); (J.G.); (J.E.); (R.A.); (G.M.-V.)
| | - Jonatan Eriksson
- Clinical Protein Science & Imaging, Biomedical Centre, Department of Biomedical, Engineering, Lund University, BMC D13, 221 84 Lund, Sweden; (L.H.B.); (Z.H.); (M.R.); (J.G.); (J.E.); (R.A.); (G.M.-V.)
| | - Roger Appelqvist
- Clinical Protein Science & Imaging, Biomedical Centre, Department of Biomedical, Engineering, Lund University, BMC D13, 221 84 Lund, Sweden; (L.H.B.); (Z.H.); (M.R.); (J.G.); (J.E.); (R.A.); (G.M.-V.)
| | - Tasso Miliotis
- Translational Science, Cardiovascular Renal and Metabolism, IMED Biotech Unit, AstraZeneca, 431 50 Gothenburg, Sweden;
| | - Bo Baldetorp
- Division of Oncology and Pathology, Department of Clinical Sciences Lund, Lund University, 221 85 Lund, Sweden; (B.B.); (H.O.); (L.L.); (C.W.); (E.W.); (G.J.)
| | - Christian Ingvar
- Department of Surgery, Clinical Sciences, Lund University, Skåne University Hospital, 222 42 Lund, Sweden;
| | - Håkan Olsson
- Division of Oncology and Pathology, Department of Clinical Sciences Lund, Lund University, 221 85 Lund, Sweden; (B.B.); (H.O.); (L.L.); (C.W.); (E.W.); (G.J.)
| | - Lotta Lundgren
- Division of Oncology and Pathology, Department of Clinical Sciences Lund, Lund University, 221 85 Lund, Sweden; (B.B.); (H.O.); (L.L.); (C.W.); (E.W.); (G.J.)
| | - Peter Horvatovich
- Department of Analytical Biochemistry, Faculty of Science and Engineering, University of Groningen, 9712 CP Groningen, The Netherlands;
| | - Charlotte Welinder
- Division of Oncology and Pathology, Department of Clinical Sciences Lund, Lund University, 221 85 Lund, Sweden; (B.B.); (H.O.); (L.L.); (C.W.); (E.W.); (G.J.)
| | - Elisabet Wieslander
- Division of Oncology and Pathology, Department of Clinical Sciences Lund, Lund University, 221 85 Lund, Sweden; (B.B.); (H.O.); (L.L.); (C.W.); (E.W.); (G.J.)
| | - Ho Jeong Kwon
- Department of Biotechnology, Yonsei University, Seoul 03722, Korea;
| | - Johan Malm
- Section for Clinical Chemistry, Department of Translational Medicine, Lund University, Skåne University Hospital Malmö, 205 02 Malmö, Sweden; (M.K.); (I.P.); (K.P.); (J.M.); (A.S.)
| | - Istvan Balazs Nemeth
- Department of Dermatology and Allergology, University of Szeged, H-6720 Szeged, Hungary;
| | - Göran Jönsson
- Division of Oncology and Pathology, Department of Clinical Sciences Lund, Lund University, 221 85 Lund, Sweden; (B.B.); (H.O.); (L.L.); (C.W.); (E.W.); (G.J.)
| | - David Fenyö
- Institute for Systems Genetics, NYU School of Medicine, 550 1st Ave, New York, NY 10016, USA;
| | - Aniel Sanchez
- Section for Clinical Chemistry, Department of Translational Medicine, Lund University, Skåne University Hospital Malmö, 205 02 Malmö, Sweden; (M.K.); (I.P.); (K.P.); (J.M.); (A.S.)
| | - György Marko-Varga
- Clinical Protein Science & Imaging, Biomedical Centre, Department of Biomedical, Engineering, Lund University, BMC D13, 221 84 Lund, Sweden; (L.H.B.); (Z.H.); (M.R.); (J.G.); (J.E.); (R.A.); (G.M.-V.)
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15
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Gil J, Betancourt LH, Pla I, Sanchez A, Appelqvist R, Miliotis T, Kuras M, Oskolas H, Kim Y, Horvath Z, Eriksson J, Berge E, Burestedt E, Jönsson G, Baldetorp B, Ingvar C, Olsson H, Lundgren L, Horvatovich P, Murillo JR, Sugihara Y, Welinder C, Wieslander E, Lee B, Lindberg H, Pawłowski K, Kwon HJ, Doma V, Timar J, Karpati S, Szasz AM, Németh IB, Nishimura T, Corthals G, Rezeli M, Knudsen B, Malm J, Marko-Varga G. Clinical protein science in translational medicine targeting malignant melanoma. Cell Biol Toxicol 2019; 35:293-332. [PMID: 30900145 PMCID: PMC6757020 DOI: 10.1007/s10565-019-09468-6] [Citation(s) in RCA: 27] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2018] [Accepted: 02/13/2019] [Indexed: 02/06/2023]
Abstract
Melanoma of the skin is the sixth most common type of cancer in Europe and accounts for 3.4% of all diagnosed cancers. More alarming is the degree of recurrence that occurs with approximately 20% of patients lethally relapsing following treatment. Malignant melanoma is a highly aggressive skin cancer and metastases rapidly extend to the regional lymph nodes (stage 3) and to distal organs (stage 4). Targeted oncotherapy is one of the standard treatment for progressive stage 4 melanoma, and BRAF inhibitors (e.g. vemurafenib, dabrafenib) combined with MEK inhibitor (e.g. trametinib) can effectively counter BRAFV600E-mutated melanomas. Compared to conventional chemotherapy, targeted BRAFV600E inhibition achieves a significantly higher response rate. After a period of cancer control, however, most responsive patients develop resistance to the therapy and lethal progression. The many underlying factors potentially causing resistance to BRAF inhibitors have been extensively studied. Nevertheless, the remaining unsolved clinical questions necessitate alternative research approaches to address the molecular mechanisms underlying metastatic and treatment-resistant melanoma. In broader terms, proteomics can address clinical questions far beyond the reach of genomics, by measuring, i.e. the relative abundance of protein products, post-translational modifications (PTMs), protein localisation, turnover, protein interactions and protein function. More specifically, proteomic analysis of body fluids and tissues in a given medical and clinical setting can aid in the identification of cancer biomarkers and novel therapeutic targets. Achieving this goal requires the development of a robust and reproducible clinical proteomic platform that encompasses automated biobanking of patient samples, tissue sectioning and histological examination, efficient protein extraction, enzymatic digestion, mass spectrometry-based quantitative protein analysis by label-free or labelling technologies and/or enrichment of peptides with specific PTMs. By combining data from, e.g. phosphoproteomics and acetylomics, the protein expression profiles of different melanoma stages can provide a solid framework for understanding the biology and progression of the disease. When complemented by proteogenomics, customised protein sequence databases generated from patient-specific genomic and transcriptomic data aid in interpreting clinical proteomic biomarker data to provide a deeper and more comprehensive molecular characterisation of cellular functions underlying disease progression. In parallel to a streamlined, patient-centric, clinical proteomic pipeline, mass spectrometry-based imaging can aid in interrogating the spatial distribution of drugs and drug metabolites within tissues at single-cell resolution. These developments are an important advancement in studying drug action and efficacy in vivo and will aid in the development of more effective and safer strategies for the treatment of melanoma. A collaborative effort of gargantuan proportions between academia and healthcare professionals has led to the initiation, establishment and development of a cutting-edge cancer research centre with a specialisation in melanoma and lung cancer. The primary research focus of the European Cancer Moonshot Lund Center is to understand the impact that drugs have on cancer at an individualised and personalised level. Simultaneously, the centre increases awareness of the relentless battle against cancer and attracts global interest in the exceptional research performed at the centre.
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Affiliation(s)
- Jeovanis Gil
- Clinical Protein Science & Imaging, Biomedical Centre, Department of Biomedical Engineering, Lund University, BMC D13, 221 84, Lund, Sweden.
| | - Lazaro Hiram Betancourt
- Clinical Protein Science & Imaging, Biomedical Centre, Department of Biomedical Engineering, Lund University, BMC D13, 221 84, Lund, Sweden.
| | - Indira Pla
- Clinical Protein Science & Imaging, Biomedical Centre, Department of Biomedical Engineering, Lund University, BMC D13, 221 84, Lund, Sweden
- Section for Clinical Chemistry, Department of Translational Medicine, Lund University, Skåne University Hospital Malmö, 205 02, Malmö, Sweden
| | - Aniel Sanchez
- Clinical Protein Science & Imaging, Biomedical Centre, Department of Biomedical Engineering, Lund University, BMC D13, 221 84, Lund, Sweden
- Section for Clinical Chemistry, Department of Translational Medicine, Lund University, Skåne University Hospital Malmö, 205 02, Malmö, Sweden
| | - Roger Appelqvist
- Clinical Protein Science & Imaging, Biomedical Centre, Department of Biomedical Engineering, Lund University, BMC D13, 221 84, Lund, Sweden
| | - Tasso Miliotis
- Clinical Protein Science & Imaging, Biomedical Centre, Department of Biomedical Engineering, Lund University, BMC D13, 221 84, Lund, Sweden
- Translational Science, Cardiovascular Renal and Metabolism, IMED Biotech Unit, AstraZeneca, Gothenburg, Sweden
| | - Magdalena Kuras
- Clinical Protein Science & Imaging, Biomedical Centre, Department of Biomedical Engineering, Lund University, BMC D13, 221 84, Lund, Sweden
| | - Henriette Oskolas
- Clinical Protein Science & Imaging, Biomedical Centre, Department of Biomedical Engineering, Lund University, BMC D13, 221 84, Lund, Sweden
| | - Yonghyo Kim
- Clinical Protein Science & Imaging, Biomedical Centre, Department of Biomedical Engineering, Lund University, BMC D13, 221 84, Lund, Sweden
| | - Zsolt Horvath
- Clinical Protein Science & Imaging, Biomedical Centre, Department of Biomedical Engineering, Lund University, BMC D13, 221 84, Lund, Sweden
| | - Jonatan Eriksson
- Clinical Protein Science & Imaging, Biomedical Centre, Department of Biomedical Engineering, Lund University, BMC D13, 221 84, Lund, Sweden
| | - Ethan Berge
- Clinical Protein Science & Imaging, Biomedical Centre, Department of Biomedical Engineering, Lund University, BMC D13, 221 84, Lund, Sweden
| | - Elisabeth Burestedt
- Clinical Protein Science & Imaging, Biomedical Centre, Department of Biomedical Engineering, Lund University, BMC D13, 221 84, Lund, Sweden
| | - Göran Jönsson
- Division of Oncology and Pathology, Department of Clinical Sciences Lund, Lund University, 221 85, Lund, Sweden
| | - Bo Baldetorp
- Division of Oncology and Pathology, Department of Clinical Sciences Lund, Lund University, 221 85, Lund, Sweden
| | - Christian Ingvar
- Department of Surgery, Clinical Sciences, Lund University, SUS, Lund, Sweden
| | - Håkan Olsson
- Division of Oncology and Pathology, Department of Clinical Sciences Lund, Lund University, 221 85, Lund, Sweden
| | - Lotta Lundgren
- Division of Oncology and Pathology, Department of Clinical Sciences Lund, Lund University, 221 85, Lund, Sweden
- Department of Haematology, Oncology and Radiation Physics, Skåne University Hospital, Lund, Sweden
| | - Peter Horvatovich
- Department of Analytical Biochemistry, Faculty of Science and Engineering, University of Groningen, Groningen, The Netherlands
| | - Jimmy Rodriguez Murillo
- Clinical Protein Science & Imaging, Biomedical Centre, Department of Biomedical Engineering, Lund University, BMC D13, 221 84, Lund, Sweden
| | - Yutaka Sugihara
- Clinical Protein Science & Imaging, Biomedical Centre, Department of Biomedical Engineering, Lund University, BMC D13, 221 84, Lund, Sweden
| | - Charlotte Welinder
- Division of Oncology and Pathology, Department of Clinical Sciences Lund, Lund University, 221 85, Lund, Sweden
| | - Elisabet Wieslander
- Division of Oncology and Pathology, Department of Clinical Sciences Lund, Lund University, 221 85, Lund, Sweden
| | - Boram Lee
- Clinical Protein Science & Imaging, Biomedical Centre, Department of Biomedical Engineering, Lund University, BMC D13, 221 84, Lund, Sweden
| | - Henrik Lindberg
- Clinical Protein Science & Imaging, Biomedical Centre, Department of Biomedical Engineering, Lund University, BMC D13, 221 84, Lund, Sweden
| | - Krzysztof Pawłowski
- Clinical Protein Science & Imaging, Biomedical Centre, Department of Biomedical Engineering, Lund University, BMC D13, 221 84, Lund, Sweden
- Department of Experimental Design and Bioinformatics, Faculty of Agriculture and Biology, Warsaw University of Life Sciences, Warsaw, Poland
| | - Ho Jeong Kwon
- Clinical Protein Science & Imaging, Biomedical Centre, Department of Biomedical Engineering, Lund University, BMC D13, 221 84, Lund, Sweden
- Chemical Genomics Global Research Lab, Department of Biotechnology, College of Life Science and Biotechnology, Yonsei University, Seoul, Republic of Korea
| | - Viktoria Doma
- Second Department of Pathology, Semmelweis University, Budapest, Hungary
| | - Jozsef Timar
- Second Department of Pathology, Semmelweis University, Budapest, Hungary
| | - Sarolta Karpati
- Department of Dermatology, Semmelweis University, Budapest, Hungary
| | - A Marcell Szasz
- Clinical Protein Science & Imaging, Biomedical Centre, Department of Biomedical Engineering, Lund University, BMC D13, 221 84, Lund, Sweden
- Division of Oncology and Pathology, Department of Clinical Sciences Lund, Lund University, 221 85, Lund, Sweden
- Cancer Center, Semmelweis University, Budapest, 1083, Hungary
- MTA-TTK Momentum Oncology Biomarker Research Group, Hungarian Academy of Sciences, Budapest, 1117, Hungary
| | - István Balázs Németh
- Department of Dermatology and Allergology, University of Szeged, Szeged, H-6720, Hungary
| | - Toshihide Nishimura
- Clinical Translational Medicine Informatics, St. Marianna University School of Medicine, Kawasaki, Kanagawa, Japan
- Department of Surgery, Tokyo Medical University, 6-7-1 Nishishinjiku Shinjiku-ku, Tokyo, Japan
| | - Garry Corthals
- Van't Hoff Institute of Molecular Sciences, 1090 GS, Amsterdam, The Netherlands
| | - Melinda Rezeli
- Clinical Protein Science & Imaging, Biomedical Centre, Department of Biomedical Engineering, Lund University, BMC D13, 221 84, Lund, Sweden
| | - Beatrice Knudsen
- Biomedical Sciences and Pathology, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Johan Malm
- Section for Clinical Chemistry, Department of Translational Medicine, Lund University, Skåne University Hospital Malmö, 205 02, Malmö, Sweden
| | - György Marko-Varga
- Clinical Protein Science & Imaging, Biomedical Centre, Department of Biomedical Engineering, Lund University, BMC D13, 221 84, Lund, Sweden
- Chemical Genomics Global Research Lab, Department of Biotechnology, College of Life Science and Biotechnology, Yonsei University, Seoul, Republic of Korea
- Department of Surgery, Tokyo Medical University, 6-7-1 Nishishinjiku Shinjiku-ku, Tokyo, Japan
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