201
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Matthiesen R, Carvalho AS. Methods and Algorithms for Quantitative Proteomics by Mass Spectrometry. Methods Mol Biol 2020; 2051:161-197. [PMID: 31552629 DOI: 10.1007/978-1-4939-9744-2_7] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Protein quantitation by mass spectrometry has always been a resourceful technique in protein discovery, and more recently it has leveraged the advent of clinical proteomics. A single mass spectrometry analysis experiment provides identification and quantitation of proteins as well as information on posttranslational modifications landscape. By contrast, protein array technologies are restricted to quantitation of targeted proteins and their modifications. Currently, there are an overwhelming number of quantitative mass spectrometry methods for protein and peptide quantitation. The aim here is to provide an overview of the most common mass spectrometry methods and algorithms used in quantitative proteomics and discuss the computational aspects to obtain reliable quantitative measures of proteins, peptides and their posttranslational modifications. The development of a pipeline using commercial or freely available software is one of the main challenges in data analysis of many experimental projects. Recent developments of R statistical programming language make it attractive to fully develop pipelines for quantitative proteomics. We discuss concepts of quantitative proteomics that together with current R packages can be used to build highly customizable pipelines.
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Affiliation(s)
- Rune Matthiesen
- Computational and Experimental Biology Group, CEDOC, Chronic Diseases Research Centre, NOVA Medical School, Faculdade de Ciências Médicas, Universidade NOVA de Lisboa, Lisboa, Portugal
| | - Ana Sofia Carvalho
- Computational and Experimental Biology Group, CEDOC, Chronic Diseases Research Centre, NOVA Medical School, Faculdade de Ciências Médicas, Universidade NOVA de Lisboa, Lisboa, Portugal.
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202
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Shen K, Wang L, He Q, Jin Z, Chen W, Sun C, Pan Y. Sensitive Bromine-Labeled Probe D-BPBr for Simultaneous Identification and Quantification of Chiral Amino Acids and Amino-Containing Metabolites Profiling in Human Biofluid by HPLC/MS. Anal Chem 2019; 92:1763-1769. [DOI: 10.1021/acs.analchem.9b03252] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Affiliation(s)
- Kexin Shen
- College of Pharmaceutical Sciences, Zhejiang University, Hangzhou 310058, Zhejiang, China
| | - Lin Wang
- Lewis Sigler Institute for Integrative Genomics and Department of Chemistry, Princeton University, Princeton, New Jersey 08544, United States
| | - Quan He
- Department of Chemistry, Zhejiang University, Hangzhou 310027, Zhejiang, China
| | - Zhe Jin
- College of Pharmaceutical Sciences, Zhejiang University, Hangzhou 310058, Zhejiang, China
- Department of Chemistry, Zhejiang University, Hangzhou 310027, Zhejiang, China
| | - Weiyi Chen
- College of Pharmaceutical Sciences, Zhejiang University, Hangzhou 310058, Zhejiang, China
| | - Cuirong Sun
- College of Pharmaceutical Sciences, Zhejiang University, Hangzhou 310058, Zhejiang, China
| | - Yuanjiang Pan
- Department of Chemistry, Zhejiang University, Hangzhou 310027, Zhejiang, China
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203
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Johnson EO, Hung DT. A Point of Inflection and Reflection on Systems Chemical Biology. ACS Chem Biol 2019; 14:2497-2511. [PMID: 31613592 DOI: 10.1021/acschembio.9b00714] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
For the past several decades, chemical biologists have been leveraging chemical principles for understanding biology, tackling disease, and biomanufacturing, while systems biologists have holistically applied computation and genome-scale experimental tools to the same problems. About a decade ago, the benefit of combining the philosophies of chemical biology with systems biology into systems chemical biology was advocated, with the potential to systematically understand the way small molecules affect biological systems. Recently, there has been an explosion in new technologies that permit massive expansion in the scale of biological experimentation, increase access to more diverse chemical space, and enable powerful computational interpretation of large datasets. Fueled by these rapidly increasing capabilities, systems chemical biology is now at an inflection point, poised to enter a new era of more holistic and integrated scientific discovery. Systems chemical biology is primed to reveal an integrated understanding of fundamental biology and to discover new chemical probes to comprehensively dissect and systematically understand that biology, thereby providing a path to novel strategies for discovering therapeutics, designing drug combinations, avoiding toxicity, and harnessing beneficial polypharmacology. In this Review, we examine the emergence of new capabilities driving us to this inflection point in systems chemical biology, and highlight holistic approaches and opportunities that are arising from integrating chemical biology with a systems-level understanding of the intersection of biology and chemistry.
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Affiliation(s)
- Eachan O. Johnson
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts 02142, United States
- Department of Molecular Biology and Center for Computational and Integrative Biology, Massachusetts General Hospital, Boston, Massachusetts 02114, United States
- Department of Genetics, Harvard Medical School, Boston, Massachusetts 02115, United States
| | - Deborah T. Hung
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts 02142, United States
- Department of Molecular Biology and Center for Computational and Integrative Biology, Massachusetts General Hospital, Boston, Massachusetts 02114, United States
- Department of Genetics, Harvard Medical School, Boston, Massachusetts 02115, United States
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204
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Native Chromatin Proteomics Reveals a Role for Specific Nucleoporins in Heterochromatin Organization and Maintenance. Mol Cell 2019; 77:51-66.e8. [PMID: 31784357 DOI: 10.1016/j.molcel.2019.10.018] [Citation(s) in RCA: 56] [Impact Index Per Article: 11.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2019] [Revised: 08/19/2019] [Accepted: 10/11/2019] [Indexed: 12/31/2022]
Abstract
Spatially and functionally distinct domains of heterochromatin and euchromatin play important roles in the maintenance of chromosome stability and regulation of gene expression, but a comprehensive knowledge of their composition is lacking. Here, we develop a strategy for the isolation of native Schizosaccharomyces pombe heterochromatin and euchromatin fragments and analyze their composition by using quantitative mass spectrometry. The shared and euchromatin-specific proteomes contain proteins involved in DNA and chromatin metabolism and in transcription, respectively. The heterochromatin-specific proteome includes all proteins with known roles in heterochromatin formation and, in addition, is enriched for subsets of nucleoporins and inner nuclear membrane (INM) proteins, which associate with different chromatin domains. While the INM proteins are required for the integrity of the nucleolus, containing ribosomal DNA repeats, the nucleoporins are required for aggregation of heterochromatic foci and epigenetic inheritance. The results provide a comprehensive picture of heterochromatin-associated proteins and suggest a role for specific nucleoporins in heterochromatin function.
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205
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Thompson A, Wölmer N, Koncarevic S, Selzer S, Böhm G, Legner H, Schmid P, Kienle S, Penning P, Höhle C, Berfelde A, Martinez-Pinna R, Farztdinov V, Jung S, Kuhn K, Pike I. TMTpro: Design, Synthesis, and Initial Evaluation of a Proline-Based Isobaric 16-Plex Tandem Mass Tag Reagent Set. Anal Chem 2019; 91:15941-15950. [DOI: 10.1021/acs.analchem.9b04474] [Citation(s) in RCA: 106] [Impact Index Per Article: 21.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Affiliation(s)
- Andrew Thompson
- Proteome Sciences Plc, Hamilton House, Mabledon Place, London WC1H 9BB, United Kingdom
| | - Nikolai Wölmer
- Proteome Sciences R&D GmbH & Co. KG, Altenhöferallee 3, 60438 Frankfurt am Main, Germany
| | - Sasa Koncarevic
- Proteome Sciences R&D GmbH & Co. KG, Altenhöferallee 3, 60438 Frankfurt am Main, Germany
| | - Stefan Selzer
- Proteome Sciences R&D GmbH & Co. KG, Altenhöferallee 3, 60438 Frankfurt am Main, Germany
| | - Gitte Böhm
- Proteome Sciences R&D GmbH & Co. KG, Altenhöferallee 3, 60438 Frankfurt am Main, Germany
| | - Harald Legner
- Proteome Sciences R&D GmbH & Co. KG, Altenhöferallee 3, 60438 Frankfurt am Main, Germany
| | - Peter Schmid
- Proteome Sciences R&D GmbH & Co. KG, Altenhöferallee 3, 60438 Frankfurt am Main, Germany
| | - Stefan Kienle
- Proteome Sciences R&D GmbH & Co. KG, Altenhöferallee 3, 60438 Frankfurt am Main, Germany
| | - Petra Penning
- Proteome Sciences R&D GmbH & Co. KG, Altenhöferallee 3, 60438 Frankfurt am Main, Germany
| | - Claudia Höhle
- Proteome Sciences R&D GmbH & Co. KG, Altenhöferallee 3, 60438 Frankfurt am Main, Germany
| | - Antje Berfelde
- Proteome Sciences R&D GmbH & Co. KG, Altenhöferallee 3, 60438 Frankfurt am Main, Germany
| | - Roxana Martinez-Pinna
- Proteome Sciences R&D GmbH & Co. KG, Altenhöferallee 3, 60438 Frankfurt am Main, Germany
| | - Vadim Farztdinov
- Proteome Sciences R&D GmbH & Co. KG, Altenhöferallee 3, 60438 Frankfurt am Main, Germany
| | - Stephan Jung
- Proteome Sciences R&D GmbH & Co. KG, Altenhöferallee 3, 60438 Frankfurt am Main, Germany
| | - Karsten Kuhn
- Proteome Sciences R&D GmbH & Co. KG, Altenhöferallee 3, 60438 Frankfurt am Main, Germany
| | - Ian Pike
- Proteome Sciences Plc, Hamilton House, Mabledon Place, London WC1H 9BB, United Kingdom
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206
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Rojony R, Martin M, Campeau A, Wozniak JM, Gonzalez DJ, Jaiswal P, Danelishvili L, Bermudez LE. Quantitative analysis of Mycobacterium avium subsp . hominissuis proteome in response to antibiotics and during exposure to different environmental conditions. Clin Proteomics 2019; 16:39. [PMID: 31749666 PMCID: PMC6852889 DOI: 10.1186/s12014-019-9260-2] [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: 07/03/2019] [Accepted: 11/04/2019] [Indexed: 01/08/2023] Open
Abstract
Mycobacterium avium subsp. hominissuis (MAH) belongs to the clinically important non-tuberculous mycobacterial group that infects immunocompromised patients and individuals with underling lung conditions. The need for prolonged therapy is a major challenge of MAH treatment, influencing the development of persistent and drug-resistant infections. The reason why bactericidal drugs take several months to eliminate MAH is unknown. To investigate MAH proteome remodeling under aerobic, anaerobic and biofilm conditions (as it is encountered in patient lungs) and identify metabolic changes potentially associated with bacterial persistent state, we performed the relative protein quantitative analysis using Tandem Mass Tag Mass Spectrometry sequencing. MAH was exposed to amikacin (4 μg/ml) and clarithromycin (16 μg/ml) under aerobic, anaerobic or biofilm condition for 24 h and the response was compared with bacterial proteomics of the corresponding conditions. Overall, 4000 proteins were identified out of 5313 MAH proteome of across all experimental groups. Numerous sets of de novo synthesized proteins belonging to metabolic pathways not evidenced in aerobic condition were found commonly enriched in both anaerobic and biofilm conditions, including pantothenate and CoA biosynthesis, glycerolipid metabolism, nitrogen metabolism and chloroalkene degradation, known to be associated with bacterial tolerance in M. tuberculosis. The common pathways observed in anaerobic and biofilm conditions following drug treatments were peptidoglycan biosynthesis, glycerophospholipid metabolism and protein export. The LprB lipoprotein, highly synthesized in MAH biofilms during drug treatments and shown to be essential for M. tuberculosis virulence and survival in vivo, was selected and overexpressed in MAH. Results demonstrate that LprB is secreted in MAH biofilms and the overexpression clone is more tolerant to antimicrobials than the wild-type strain. Our study identified promising metabolic pathways that can be targeted to prevent the bacterial tolerance mechanism and, subsequently, reduce the length of MAH therapy.
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Affiliation(s)
- Rajoana Rojony
- Department of Biomedical Sciences, Carlson College of Veterinary Medicine, Oregon State University, Corvallis, USA
| | - Matthew Martin
- Department of Botany and Plant Pathology, College of Agricultural Sciences, Oregon State University, Corvallis, USA
| | - Anaamika Campeau
- Department of Pharmacology, School of Medicine, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, San Diego, USA
| | - Jacob M. Wozniak
- Department of Pharmacology, School of Medicine, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, San Diego, USA
| | - David J. Gonzalez
- Department of Pharmacology, School of Medicine, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, San Diego, USA
| | - Pankaj Jaiswal
- Department of Botany and Plant Pathology, College of Agricultural Sciences, Oregon State University, Corvallis, USA
| | - L. Danelishvili
- Department of Biomedical Sciences, Carlson College of Veterinary Medicine, Oregon State University, Corvallis, USA
| | - Luiz E. Bermudez
- Department of Biomedical Sciences, Carlson College of Veterinary Medicine, Oregon State University, Corvallis, USA
- Department of Microbiology, College of Sciences, Oregon State University, Corvallis, USA
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207
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Lim MY, Paulo JA, Gygi SP. Evaluating False Transfer Rates from the Match-between-Runs Algorithm with a Two-Proteome Model. J Proteome Res 2019; 18:4020-4026. [PMID: 31547658 PMCID: PMC7346880 DOI: 10.1021/acs.jproteome.9b00492] [Citation(s) in RCA: 48] [Impact Index Per Article: 9.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
Stochasticity between independent LC-MS/MS runs is a challenging problem in the field of proteomics, resulting in significant missing values (i.e., abundance measurements) among observed peptides. To address this issue, several approaches have been developed including computational methods such as MaxQuant's match-between-runs (MBR) algorithm. Often dozens of runs are all considered at once by MBR, transferring identifications from any one run to any of the others. To evaluate the error associated with these transfer events, we created a two-sample/two-proteome approach. In this way, samples containing no yeast lysate (n = 20) were assessed for false identification transfers from samples containing yeast (n = 20). While MBR increased the total number of spectral identifications by ∼40%, we also found that 44% of all identified yeast proteins had identifications transferred to at least one sample without yeast. However, of these only 2.7% remained in the final data set after applying the MaxQuant LFQ algorithm. We conclude that false transfers by MBR are plentiful, but few are retained in the final data set.
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Affiliation(s)
- Matthew Y. Lim
- Department of Cell Biology, Harvard Medical School, Boston, Massachusetts 02115, United States
| | - João A. Paulo
- 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
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208
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Clark DJ, Dhanasekaran SM, Petralia F, Pan J, Song X, Hu Y, da Veiga Leprevost F, Reva B, Lih TSM, Chang HY, Ma W, Huang C, Ricketts CJ, Chen L, Krek A, Li Y, Rykunov D, Li QK, Chen LS, Ozbek U, Vasaikar S, Wu Y, Yoo S, Chowdhury S, Wyczalkowski MA, Ji J, Schnaubelt M, Kong A, Sethuraman S, Avtonomov DM, Ao M, Colaprico A, Cao S, Cho KC, Kalayci S, Ma S, Liu W, Ruggles K, Calinawan A, Gümüş ZH, Geiszler D, Kawaler E, Teo GC, Wen B, Zhang Y, Keegan S, Li K, Chen F, Edwards N, Pierorazio PM, Chen XS, Pavlovich CP, Hakimi AA, Brominski G, Hsieh JJ, Antczak A, Omelchenko T, Lubinski J, Wiznerowicz M, Linehan WM, Kinsinger CR, Thiagarajan M, Boja ES, Mesri M, Hiltke T, Robles AI, Rodriguez H, Qian J, Fenyö D, Zhang B, Ding L, Schadt E, Chinnaiyan AM, Zhang Z, Omenn GS, Cieslik M, Chan DW, Nesvizhskii AI, Wang P, Zhang H. Integrated Proteogenomic Characterization of Clear Cell Renal Cell Carcinoma. Cell 2019; 179:964-983.e31. [PMID: 31675502 PMCID: PMC7331093 DOI: 10.1016/j.cell.2019.10.007] [Citation(s) in RCA: 375] [Impact Index Per Article: 75.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2019] [Revised: 07/15/2019] [Accepted: 10/07/2019] [Indexed: 02/07/2023]
Abstract
To elucidate the deregulated functional modules that drive clear cell renal cell carcinoma (ccRCC), we performed comprehensive genomic, epigenomic, transcriptomic, proteomic, and phosphoproteomic characterization of treatment-naive ccRCC and paired normal adjacent tissue samples. Genomic analyses identified a distinct molecular subgroup associated with genomic instability. Integration of proteogenomic measurements uniquely identified protein dysregulation of cellular mechanisms impacted by genomic alterations, including oxidative phosphorylation-related metabolism, protein translation processes, and phospho-signaling modules. To assess the degree of immune infiltration in individual tumors, we identified microenvironment cell signatures that delineated four immune-based ccRCC subtypes characterized by distinct cellular pathways. This study reports a large-scale proteogenomic analysis of ccRCC to discern the functional impact of genomic alterations and provides evidence for rational treatment selection stemming from ccRCC pathobiology.
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Affiliation(s)
- David J Clark
- Department of Pathology, Johns Hopkins University, Baltimore, MD 21231, USA
| | | | - Francesca Petralia
- Department of Genetics and Genomic Sciences and Icahn Institute for Data Science and Genomic Technology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Jianbo Pan
- Department of Pathology, Johns Hopkins University, Baltimore, MD 21231, USA
| | - Xiaoyu Song
- Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Yingwei Hu
- Department of Pathology, Johns Hopkins University, Baltimore, MD 21231, USA
| | | | - Boris Reva
- Department of Genetics and Genomic Sciences and Icahn Institute for Data Science and Genomic Technology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Tung-Shing M Lih
- Department of Pathology, Johns Hopkins University, Baltimore, MD 21231, USA
| | - Hui-Yin Chang
- Department of Pathology, University of Michigan, Ann Arbor, MI 48109, USA
| | - Weiping Ma
- Department of Genetics and Genomic Sciences and Icahn Institute for Data Science and Genomic Technology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Chen Huang
- Lester and Sue Smith Breast Center, Baylor College of Medicine, Houston, TX 77030, USA
| | - Christopher J Ricketts
- Urologic Oncology Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Lijun Chen
- Department of Pathology, Johns Hopkins University, Baltimore, MD 21231, USA
| | - Azra Krek
- Department of Genetics and Genomic Sciences and Icahn Institute for Data Science and Genomic Technology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Yize Li
- Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Dmitry Rykunov
- Department of Genetics and Genomic Sciences and Icahn Institute for Data Science and Genomic Technology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Qing Kay Li
- Department of Pathology, Johns Hopkins University, Baltimore, MD 21231, USA
| | - Lin S Chen
- Department of Public Health Sciences, University of Chicago, Chicago, IL 60637, USA
| | - Umut Ozbek
- Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Suhas Vasaikar
- Department of Translational Molecular Pathology, MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Yige Wu
- Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Seungyeul Yoo
- Department of Genetics and Genomic Sciences and Icahn Institute for Data Science and Genomic Technology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Shrabanti Chowdhury
- Department of Genetics and Genomic Sciences and Icahn Institute for Data Science and Genomic Technology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | | | - Jiayi Ji
- Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Michael Schnaubelt
- Department of Pathology, Johns Hopkins University, Baltimore, MD 21231, USA
| | - Andy Kong
- Department of Pathology, University of Michigan, Ann Arbor, MI 48109, USA
| | | | - Dmitry M Avtonomov
- Department of Pathology, University of Michigan, Ann Arbor, MI 48109, USA
| | - Minghui Ao
- Department of Pathology, Johns Hopkins University, Baltimore, MD 21231, USA
| | - Antonio Colaprico
- Department of Public Health Sciences, University of Miami Miller School of Medicine, Miami, FL 33136, USA
| | - Song Cao
- Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Kyung-Cho Cho
- Department of Pathology, Johns Hopkins University, Baltimore, MD 21231, USA
| | - Selim Kalayci
- Department of Genetics and Genomic Sciences and Icahn Institute for Data Science and Genomic Technology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Shiyong Ma
- Department of Pathology, Johns Hopkins University, Baltimore, MD 21231, USA
| | - Wenke Liu
- Institute for Systems Genetics and Department of Biochemistry and Molecular Pharmacology, New York University School of Medicine, New York, NY 10016, USA
| | - Kelly Ruggles
- Department of Medicine, New York University School of Medicine, New York, NY 10016, USA
| | - Anna Calinawan
- Department of Genetics and Genomic Sciences and Icahn Institute for Data Science and Genomic Technology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Zeynep H Gümüş
- Department of Genetics and Genomic Sciences and Icahn Institute for Data Science and Genomic Technology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Daniel Geiszler
- Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI 48109, USA
| | - Emily Kawaler
- Institute for Systems Genetics and Department of Biochemistry and Molecular Pharmacology, New York University School of Medicine, New York, NY 10016, USA
| | - Guo Ci Teo
- Department of Pathology, University of Michigan, Ann Arbor, MI 48109, USA
| | - Bo Wen
- Lester and Sue Smith Breast Center, Baylor College of Medicine, Houston, TX 77030, USA
| | - Yuping Zhang
- Department of Pathology, University of Michigan, Ann Arbor, MI 48109, USA
| | - Sarah Keegan
- Institute for Systems Genetics and Department of Biochemistry and Molecular Pharmacology, New York University School of Medicine, New York, NY 10016, USA
| | - Kai Li
- Lester and Sue Smith Breast Center, Baylor College of Medicine, Houston, TX 77030, USA
| | - Feng Chen
- Departments of Medicine and Cell Biology and Physiology, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Nathan Edwards
- Department of Biochemistry and Cellular Biology, Georgetown University, Washington, DC 20007, USA
| | - Phillip M Pierorazio
- Brady Urological Institute and Department of Urology, Johns Hopkins University, Baltimore, MD 21231, USA
| | - Xi Steven Chen
- Department of Public Health Sciences, University of Miami Miller School of Medicine, Miami, FL 33136, USA; Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, FL 33136, USA
| | - Christian P Pavlovich
- Brady Urological Institute and Department of Urology, Johns Hopkins University, Baltimore, MD 21231, USA
| | - A Ari Hakimi
- Department of Surgery, Urology Service, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Gabriel Brominski
- Department of Urology, Poznań University of Medical Sciences, Szwajcarska 3, Poznań 61-285, Poland
| | - James J Hsieh
- Department of Medicine, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Andrzej Antczak
- Department of Urology, Poznań University of Medical Sciences, Szwajcarska 3, Poznań 61-285, Poland
| | - Tatiana Omelchenko
- Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Jan Lubinski
- Department of Genetics and Pathology, Pomeranian Medical University, Szczecin 71-252, Poland
| | - Maciej Wiznerowicz
- International Institute for Molecular Oncology, Poznań 60-203, Poland; Poznań University of Medical Sciences, Poznan 60-701, Poland
| | - W Marston Linehan
- Urologic Oncology Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Christopher R Kinsinger
- Office of Cancer Clinical Proteomics Research, National Cancer Institute, Bethesda, MD 20892, USA
| | | | - Emily S Boja
- Office of Cancer Clinical Proteomics Research, National Cancer Institute, Bethesda, MD 20892, USA
| | - Mehdi Mesri
- Office of Cancer Clinical Proteomics Research, National Cancer Institute, Bethesda, MD 20892, USA
| | - Tara Hiltke
- Office of Cancer Clinical Proteomics Research, National Cancer Institute, Bethesda, MD 20892, USA
| | - Ana I Robles
- Office of Cancer Clinical Proteomics Research, National Cancer Institute, Bethesda, MD 20892, USA
| | - Henry Rodriguez
- Office of Cancer Clinical Proteomics Research, National Cancer Institute, Bethesda, MD 20892, USA
| | - Jiang Qian
- Department of Ophthalmology, Johns Hopkins University, Baltimore, MD 21231, USA
| | - David Fenyö
- Institute for Systems Genetics and Department of Biochemistry and Molecular Pharmacology, New York University School of Medicine, New York, NY 10016, USA
| | - Bing Zhang
- Lester and Sue Smith Breast Center, Baylor College of Medicine, Houston, TX 77030, USA; Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA
| | - Li Ding
- Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Eric Schadt
- Department of Genetics and Genomic Sciences and Icahn Institute for Data Science and Genomic Technology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Sema4, Stamford, CT 06902, USA
| | - Arul M Chinnaiyan
- Department of Pathology, University of Michigan, Ann Arbor, MI 48109, USA
| | - Zhen Zhang
- Department of Pathology, Johns Hopkins University, Baltimore, MD 21231, USA
| | - Gilbert S Omenn
- Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI 48109, USA; Department of Internal Medicine, Human Genetics, and School of Public Health, University of Michigan, Ann Arbor, MI 48109, USA
| | - Marcin Cieslik
- Department of Pathology, University of Michigan, Ann Arbor, MI 48109, USA.
| | - Daniel W Chan
- Department of Pathology, Johns Hopkins University, Baltimore, MD 21231, USA.
| | | | - Pei Wang
- Department of Genetics and Genomic Sciences and Icahn Institute for Data Science and Genomic Technology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.
| | - Hui Zhang
- Department of Pathology, Johns Hopkins University, Baltimore, MD 21231, USA.
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209
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Mulcahy MJ, Huard SM, Paulo JA, Wang JH, McKinney S, Henderson BJ, Lester HA. Brain Region-Specific nAChR and Associated Protein Abundance Alterations Following Chronic Nicotine and/or Menthol Exposure. J Proteome Res 2019; 19:36-48. [PMID: 31657575 DOI: 10.1021/acs.jproteome.9b00286] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
The identification of biomarkers that are altered following nicotine/tobacco exposure can facilitate the investigation of tobacco-related diseases. Nicotinic acetylcholine receptors (nAChRs) are pentameric cation channels expressed in the mammalian central and peripheral nervous systems and the neuromuscular junction. Neuronal nAChR subunits (11) have been identified in mammals (α2-7, α9-10, β2-4). We examined changes in β2 nAChR subunit protein levels after chronic nicotine, (±)-menthol, or nicotine co-administered with (±)-menthol in nine murine brain regions. Our investigation of β2 nAChR subunit level changes identified the hypothalamus as a novel region of interest for menthol exposure that demonstrated increased β2 nAChR levels after (±)-menthol plus nicotine exposure compared to nicotine exposure alone. Using mass spectrometry, we further characterized changes in membrane protein abundance profiles in the hypothalamus to identify potential biomarkers of (±)-menthol plus nicotine exposure and proteins that may contribute to the elevated β2 nAChR subunit levels. In the hypothalamus, 272 membrane proteins were identified with altered abundances after chronic nicotine plus menthol exposure with respect to chronic nicotine exposure without menthol. A comprehensive investigation of changes in nAChR and non-nAChR protein expression resulting from (±)-menthol plus nicotine in the brain may establish biomarkers to better understand the effects of these drugs on addiction and addiction-related diseases.
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Affiliation(s)
- Matthew J Mulcahy
- Division of Biology and Biological Engineering , California Institute of Technology , 1200 East California Boulevard , Pasadena , California 91125-2900 , United States
| | - Stephanie M Huard
- Division of Biology and Biological Engineering , California Institute of Technology , 1200 East California Boulevard , Pasadena , California 91125-2900 , United States
| | - Joao A Paulo
- Department of Cell Biology , Harvard Medical School , 240 Longwood Avenue , Boston , Massachusetts 02115 , United States
| | - Jonathan H Wang
- Division of Biology and Biological Engineering , California Institute of Technology , 1200 East California Boulevard , Pasadena , California 91125-2900 , United States
| | - Sheri McKinney
- Division of Biology and Biological Engineering , California Institute of Technology , 1200 East California Boulevard , Pasadena , California 91125-2900 , United States
| | - Brandon J Henderson
- Division of Biology and Biological Engineering , California Institute of Technology , 1200 East California Boulevard , Pasadena , California 91125-2900 , United States.,Department of Biomedical Sciences , Joan C. Edwards School of Medicine, Marshall University , Huntington , West Virginia 25701 , United States
| | - Henry A Lester
- Division of Biology and Biological Engineering , California Institute of Technology , 1200 East California Boulevard , Pasadena , California 91125-2900 , United States
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210
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Multiplexed proteome profiling of carbon source perturbations in two yeast species with SL-SP3-TMT. J Proteomics 2019; 210:103531. [PMID: 31626996 DOI: 10.1016/j.jprot.2019.103531] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2019] [Revised: 09/05/2019] [Accepted: 09/17/2019] [Indexed: 02/06/2023]
Abstract
Saccharomyces cerevisiae and Schizosaccharomyces pombe are the most commonly studied yeast model systems, yet comparisons of global proteome remodeling between these yeast species are scarce. Here, we profile the proteomes of S. cerevisiae and S. pombe cultured with either glucose or pyruvate as the sole carbon source to define common and distinctive alterations in the protein landscape across species. In addition, we develop an updated streamlined-tandem mass tag (SL-TMT) strategy that substitutes chemical-based precipitation with more versatile bead-based protein aggregation method (SP3) prior to enzymatic digestion and TMT labeling. Our new workflow, SL-SP3-TMT, allow for near-complete proteome profiles in a single experiment for each species. The data reveal expected alterations in protein abundance and differences between species, highlighted complete canonical biochemical pathways, and provided insight into previously uncharacterized proteins. The techniques used herein, namely SL-SP3-TMT, can be applied to virtually any experiment aiming to study remodeling of the proteome using a high-throughput, comprehensive, yet streamlined mass spectrometry-based strategy. SIGNIFICANCE: Saccharomyces cerevisiae and Schizosaccharomyces pombe are single-celled eukaryotes that diverged from a common ancestor over a period of 100 million years, such that evolution has driven fundamental differences between the two species. Cellular metabolism and the regulation thereof are vital for living organisms. Here, we hypothesize that large scale proteomic alterations are prevalent upon the substitution of glucose with another carbon source, in this case pyruvate. To efficiently process our samples, we developed an updated streamlined-tandem mass tag (SL-TMT) strategy with more versatile bead-based protein aggregation. The data revealed expected alterations in protein abundance and illustrated differences between species. We highlighted complete canonical biochemical pathways and provided insight into previously uncharacterized proteins.
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211
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Ignjatovic V, Geyer PE, Palaniappan KK, Chaaban JE, Omenn GS, Baker MS, Deutsch EW, Schwenk JM. Mass Spectrometry-Based Plasma Proteomics: Considerations from Sample Collection to Achieving Translational Data. J Proteome Res 2019; 18:4085-4097. [PMID: 31573204 DOI: 10.1021/acs.jproteome.9b00503] [Citation(s) in RCA: 110] [Impact Index Per Article: 22.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
The proteomic analysis of human blood and blood-derived products (e.g., plasma) offers an attractive avenue to translate research progress from the laboratory into the clinic. However, due to its unique protein composition, performing proteomics assays with plasma is challenging. Plasma proteomics has regained interest due to recent technological advances, but challenges imposed by both complications inherent to studying human biology (e.g., interindividual variability) and analysis of biospecimens (e.g., sample variability), as well as technological limitations remain. As part of the Human Proteome Project (HPP), the Human Plasma Proteome Project (HPPP) brings together key aspects of the plasma proteomics pipeline. Here, we provide considerations and recommendations concerning study design, plasma collection, quality metrics, plasma processing workflows, mass spectrometry (MS) data acquisition, data processing, and bioinformatic analysis. With exciting opportunities in studying human health and disease though this plasma proteomics pipeline, a more informed analysis of human plasma will accelerate interest while enhancing possibilities for the incorporation of proteomics-scaled assays into clinical practice.
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Affiliation(s)
- Vera Ignjatovic
- Haematology Research , Murdoch Children's Research Institute , Parkville , VIC 3052 , Australia.,Department of Paediatrics , The University of Melbourne , Parkville , VIC 3052 , Australia
| | - Philipp E Geyer
- NNF 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
| | - Krishnan K Palaniappan
- Freenome , 259 East Grand Avenue , South San Francisco , California 94080 , United States
| | - Jessica E Chaaban
- Haematology Research , Murdoch Children's Research Institute , Parkville , VIC 3052 , Australia
| | - Gilbert S Omenn
- Departments of Computational Medicine & Bioinformatics, Human Genetics, and Internal Medicine and School of Public Health , University of Michigan , 100 Washtenaw Avenue , Ann Arbor , Michigan 48109-2218 , United States
| | - Mark S Baker
- Department of Biomedical Sciences, Faculty of Medicine & Health Sciences , Macquarie University , 75 Talavera Road , North Ryde , NSW 2109 , Australia
| | - Eric W Deutsch
- Institute for Systems Biology , 401 Terry Avenue North , Seattle , Washington 98109 , United States
| | - Jochen M Schwenk
- Affinity Proteomics, SciLifeLab , KTH Royal Institute of Technology , 171 65 Stockholm , Sweden
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212
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Garofalo R, Wohlgemuth I, Pearson M, Lenz C, Urlaub H, Rodnina MV. Broad range of missense error frequencies in cellular proteins. Nucleic Acids Res 2019; 47:2932-2945. [PMID: 30649420 PMCID: PMC6451103 DOI: 10.1093/nar/gky1319] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2018] [Revised: 12/21/2018] [Accepted: 12/30/2018] [Indexed: 12/25/2022] Open
Abstract
Assessment of the fidelity of gene expression is crucial to understand cell homeostasis. Here we present a highly sensitive method for the systematic Quantification of Rare Amino acid Substitutions (QRAS) using absolute quantification by targeted mass spectrometry after chromatographic enrichment of peptides with missense amino acid substitutions. By analyzing incorporation of near- and non-cognate amino acids in a model protein EF-Tu, we show that most of missense errors are too rare to detect by conventional methods, such as DDA, and are estimated to be between <10−7–10-5 by QRAS. We also observe error hotspots of up to 10−3 for some types of mismatches, including the G-U mismatch. The error frequency depends on the expression level of EF-Tu and, surprisingly, the amino acid position in the protein. QRAS is not restricted to any particular miscoding event, organism, strain or model protein and is a reliable tool to analyze very rare proteogenomic events.
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Affiliation(s)
- Raffaella Garofalo
- Department of Physical Biochemistry, Max Planck Institute for Biophysical Chemistry, Am Fassberg 11, 37077 Goettingen, Germany
| | - Ingo Wohlgemuth
- Department of Physical Biochemistry, Max Planck Institute for Biophysical Chemistry, Am Fassberg 11, 37077 Goettingen, Germany
| | - Michael Pearson
- Department of Physical Biochemistry, Max Planck Institute for Biophysical Chemistry, Am Fassberg 11, 37077 Goettingen, Germany
| | - Christof Lenz
- Bioanalytical Mass Spectrometry Group, Max Planck Institute for Biophysical Chemistry, Am Fassberg 11, 37077 Goettingen, Germany.,Department of Clinical Chemistry, Bioanalytics, University Medical Center Goettingen, Robert-Koch-Straße 40, 37075 Goettingen, Germany
| | - Henning Urlaub
- Bioanalytical Mass Spectrometry Group, Max Planck Institute for Biophysical Chemistry, Am Fassberg 11, 37077 Goettingen, Germany.,Department of Clinical Chemistry, Bioanalytics, University Medical Center Goettingen, Robert-Koch-Straße 40, 37075 Goettingen, Germany
| | - Marina V Rodnina
- Department of Physical Biochemistry, Max Planck Institute for Biophysical Chemistry, Am Fassberg 11, 37077 Goettingen, Germany
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213
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Proteomic analysis of sheep uterus reveals its role in prolificacy. J Proteomics 2019; 210:103526. [PMID: 31605788 DOI: 10.1016/j.jprot.2019.103526] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2019] [Revised: 08/19/2019] [Accepted: 09/04/2019] [Indexed: 12/23/2022]
Abstract
Small Tail Han sheep have attracted attention for their high fecundity and year-round estrus. However, the molecular mechanisms of this fecundity are unknown. Polymorphism of the FecB gene has been shown to be associated with the ovulation rate and litter size in sheep. In this study, we used tandem mass tag quantitative proteomic techniques to identify the differentially abundant proteins in polytocous and monotocous Small Tail Han sheep (FecB++) uterine tissues in the follicular and luteal phases. In total, 41 and 43 differentially abundant proteins were identified in the follicular and luteal phases, respectively. Correlation analysis between the transcriptome and proteome revealed a positive correlation at the two omics levels of prolificacy. GO and KEGG pathway analyses indicated that the mRNAs and proteins upregulated in the polytocous group relative to the monotocous group are involved in sphingolipid metabolism and amino acid metabolism, and may be important in maintaining uterine functions and increasing the embryo survival rate during the estrus cycle of polytocous sheep. In conclusion, our work provides a prospective understanding of the molecular mechanism underlying the high prolificacy of Small Tail Han sheep. SIGNIFICANCE: Fecundity critically affects the profitability of sheep production, but the genetic mechanism of high-prolificacy is still unclear in sheep. We identified potential signaling pathways and differentially abundant proteins associated with reproductive performance through a combination of sheep uterus tissues proteome and transcriptome analyses. These findings will facilitate a better revealing the mechanism and provide possible targets for molecular design breeding for the formation of polytocous traits in sheep.
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214
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Di Stefano B, Luo EC, Haggerty C, Aigner S, Charlton J, Brumbaugh J, Ji F, Rabano Jiménez I, Clowers KJ, Huebner AJ, Clement K, Lipchina I, de Kort MAC, Anselmo A, Pulice J, Gerli MFM, Gu H, Gygi SP, Sadreyev RI, Meissner A, Yeo GW, Hochedlinger K. The RNA Helicase DDX6 Controls Cellular Plasticity by Modulating P-Body Homeostasis. Cell Stem Cell 2019; 25:622-638.e13. [PMID: 31588046 DOI: 10.1016/j.stem.2019.08.018] [Citation(s) in RCA: 69] [Impact Index Per Article: 13.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2019] [Revised: 07/19/2019] [Accepted: 08/29/2019] [Indexed: 01/02/2023]
Abstract
Post-transcriptional mechanisms have the potential to influence complex changes in gene expression, yet their role in cell fate transitions remains largely unexplored. Here, we show that suppression of the RNA helicase DDX6 endows human and mouse primed embryonic stem cells (ESCs) with a differentiation-resistant, "hyper-pluripotent" state, which readily reprograms to a naive state resembling the preimplantation embryo. We further demonstrate that DDX6 plays a key role in adult progenitors where it controls the balance between self-renewal and differentiation in a context-dependent manner. Mechanistically, DDX6 mediates the translational suppression of target mRNAs in P-bodies. Upon loss of DDX6 activity, P-bodies dissolve and release mRNAs encoding fate-instructive transcription and chromatin factors that re-enter the ribosome pool. Increased translation of these targets impacts cell fate by rewiring the enhancer, heterochromatin, and DNA methylation landscapes of undifferentiated cell types. Collectively, our data establish a link between P-body homeostasis, chromatin organization, and stem cell potency.
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Affiliation(s)
- Bruno Di Stefano
- Department of Molecular Biology, Massachusetts General Hospital, 185 Cambridge Street, Boston, MA 02114, USA; Center for Regenerative Medicine, Massachusetts General Hospital, 185 Cambridge Street, Boston, MA 02114, USA; Cancer Center, Massachusetts General Hospital, 185 Cambridge Street, Boston, MA 02114, USA; Department of Genetics, Harvard Medical School, 77 Avenue Louis Pasteur, Boston, MA 02115, USA; Harvard Stem Cell Institute, 1350 Massachusetts Avenue, Cambridge, MA 02138, USA
| | - En-Ching Luo
- Department of Cellular and Molecular Medicine, University of California San Diego, La Jolla, CA 92093, USA; Stem Cell Program, University of California San Diego, La Jolla, CA 92093, USA; Institute for Genomic Medicine, University of California at San Diego, La Jolla, CA 92093, USA
| | - Chuck Haggerty
- Max Planck Institute for Molecular Genetics, 14195 Berlin, Germany
| | - Stefan Aigner
- Department of Cellular and Molecular Medicine, University of California San Diego, La Jolla, CA 92093, USA; Stem Cell Program, University of California San Diego, La Jolla, CA 92093, USA; Institute for Genomic Medicine, University of California at San Diego, La Jolla, CA 92093, USA
| | - Jocelyn Charlton
- Max Planck Institute for Molecular Genetics, 14195 Berlin, Germany
| | - Justin Brumbaugh
- Department of Molecular Biology, Massachusetts General Hospital, 185 Cambridge Street, Boston, MA 02114, USA; Center for Regenerative Medicine, Massachusetts General Hospital, 185 Cambridge Street, Boston, MA 02114, USA; Cancer Center, Massachusetts General Hospital, 185 Cambridge Street, Boston, MA 02114, USA; Department of Genetics, Harvard Medical School, 77 Avenue Louis Pasteur, Boston, MA 02115, USA; Harvard Stem Cell Institute, 1350 Massachusetts Avenue, Cambridge, MA 02138, USA
| | - Fei Ji
- Department of Molecular Biology, Massachusetts General Hospital, 185 Cambridge Street, Boston, MA 02114, USA
| | - Inés Rabano Jiménez
- Department of Cellular and Molecular Medicine, University of California San Diego, La Jolla, CA 92093, USA; Stem Cell Program, University of California San Diego, La Jolla, CA 92093, USA; Institute for Genomic Medicine, University of California at San Diego, La Jolla, CA 92093, USA
| | - Katie J Clowers
- Department of Cell Biology, Harvard Medical School, Boston, MA 02115, USA
| | - Aaron J Huebner
- Department of Molecular Biology, Massachusetts General Hospital, 185 Cambridge Street, Boston, MA 02114, USA; Center for Regenerative Medicine, Massachusetts General Hospital, 185 Cambridge Street, Boston, MA 02114, USA; Cancer Center, Massachusetts General Hospital, 185 Cambridge Street, Boston, MA 02114, USA; Department of Genetics, Harvard Medical School, 77 Avenue Louis Pasteur, Boston, MA 02115, USA; Harvard Stem Cell Institute, 1350 Massachusetts Avenue, Cambridge, MA 02138, USA
| | - Kendell Clement
- Department of Genetics, Harvard Medical School, 77 Avenue Louis Pasteur, Boston, MA 02115, USA; Harvard Stem Cell Institute, 1350 Massachusetts Avenue, Cambridge, MA 02138, USA; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Inna Lipchina
- Department of Molecular Biology, Massachusetts General Hospital, 185 Cambridge Street, Boston, MA 02114, USA; Center for Regenerative Medicine, Massachusetts General Hospital, 185 Cambridge Street, Boston, MA 02114, USA; Cancer Center, Massachusetts General Hospital, 185 Cambridge Street, Boston, MA 02114, USA; Department of Genetics, Harvard Medical School, 77 Avenue Louis Pasteur, Boston, MA 02115, USA; Harvard Stem Cell Institute, 1350 Massachusetts Avenue, Cambridge, MA 02138, USA
| | - Marit A C de Kort
- Department of Molecular Biology, Massachusetts General Hospital, 185 Cambridge Street, Boston, MA 02114, USA; Center for Regenerative Medicine, Massachusetts General Hospital, 185 Cambridge Street, Boston, MA 02114, USA; Cancer Center, Massachusetts General Hospital, 185 Cambridge Street, Boston, MA 02114, USA; Department of Genetics, Harvard Medical School, 77 Avenue Louis Pasteur, Boston, MA 02115, USA; Harvard Stem Cell Institute, 1350 Massachusetts Avenue, Cambridge, MA 02138, USA
| | - Anthony Anselmo
- Department of Molecular Biology, Massachusetts General Hospital, 185 Cambridge Street, Boston, MA 02114, USA
| | - John Pulice
- Department of Molecular Biology, Massachusetts General Hospital, 185 Cambridge Street, Boston, MA 02114, USA; Center for Regenerative Medicine, Massachusetts General Hospital, 185 Cambridge Street, Boston, MA 02114, USA; Cancer Center, Massachusetts General Hospital, 185 Cambridge Street, Boston, MA 02114, USA; Department of Genetics, Harvard Medical School, 77 Avenue Louis Pasteur, Boston, MA 02115, USA; Harvard Stem Cell Institute, 1350 Massachusetts Avenue, Cambridge, MA 02138, USA
| | - Mattia F M Gerli
- Center for Regenerative Medicine, Massachusetts General Hospital, 185 Cambridge Street, Boston, MA 02114, USA
| | - Hongcang Gu
- Department of Genetics, Harvard Medical School, 77 Avenue Louis Pasteur, Boston, MA 02115, USA; Harvard Stem Cell Institute, 1350 Massachusetts Avenue, Cambridge, MA 02138, USA; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Steven P Gygi
- Department of Cell Biology, Harvard Medical School, Boston, MA 02115, USA
| | - Ruslan I Sadreyev
- Department of Molecular Biology, Massachusetts General Hospital, 185 Cambridge Street, Boston, MA 02114, USA
| | - Alexander Meissner
- Harvard Stem Cell Institute, 1350 Massachusetts Avenue, Cambridge, MA 02138, USA; Max Planck Institute for Molecular Genetics, 14195 Berlin, Germany; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Gene W Yeo
- Department of Cellular and Molecular Medicine, University of California San Diego, La Jolla, CA 92093, USA; Stem Cell Program, University of California San Diego, La Jolla, CA 92093, USA; Institute for Genomic Medicine, University of California at San Diego, La Jolla, CA 92093, USA.
| | - Konrad Hochedlinger
- Department of Molecular Biology, Massachusetts General Hospital, 185 Cambridge Street, Boston, MA 02114, USA; Center for Regenerative Medicine, Massachusetts General Hospital, 185 Cambridge Street, Boston, MA 02114, USA; Cancer Center, Massachusetts General Hospital, 185 Cambridge Street, Boston, MA 02114, USA; Department of Genetics, Harvard Medical School, 77 Avenue Louis Pasteur, Boston, MA 02115, USA; Harvard Stem Cell Institute, 1350 Massachusetts Avenue, Cambridge, MA 02138, USA; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA.
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215
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Brubaker DK, Paulo JA, Sheth S, Poulin EJ, Popow O, Joughin BA, Strasser SD, Starchenko A, Gygi SP, Lauffenburger DA, Haigis KM. Proteogenomic Network Analysis of Context-Specific KRAS Signaling in Mouse-to-Human Cross-Species Translation. Cell Syst 2019; 9:258-270.e6. [PMID: 31521603 PMCID: PMC6816257 DOI: 10.1016/j.cels.2019.07.006] [Citation(s) in RCA: 38] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2018] [Revised: 06/01/2019] [Accepted: 07/15/2019] [Indexed: 12/21/2022]
Abstract
The highest frequencies of KRAS mutations occur in colorectal carcinoma (CRC) and pancreatic ductal adenocarcinoma (PDAC). The ability to target downstream pathways mediating KRAS oncogenicity is limited by an incomplete understanding of the contextual cues modulating the signaling output of activated K-RAS. We performed mass spectrometry on mouse tissues expressing wild-type or mutant Kras to determine how tissue context and genetic background modulate oncogenic signaling. Mutant Kras dramatically altered the proteomes and phosphoproteomes of preneoplastic and neoplastic colons and pancreases in a context-specific manner. We developed an approach to statistically humanize the mouse networks with data from human cancer and identified genes within the humanized CRC and PDAC networks synthetically lethal with mutant KRAS. Our studies demonstrate the context-dependent plasticity of oncogenic signaling, identify non-canonical mediators of KRAS oncogenicity within the KRAS-regulated signaling network, and demonstrate how statistical integration of mouse and human datasets can reveal cross-species therapeutic insights.
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Affiliation(s)
- Douglas K Brubaker
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA; Cancer Research Institute, Beth Israel Deaconess Medical Center, Boston, MA 02115, USA; Department of Medicine, Harvard Medical School, Boston, MA 02115, USA
| | - Joao A Paulo
- Department of Cell Biology, Harvard Medical School, Boston, MA 02115, USA
| | - Shikha Sheth
- Cancer Research Institute, Beth Israel Deaconess Medical Center, Boston, MA 02115, USA; Department of Medicine, Harvard Medical School, Boston, MA 02115, USA
| | - Emily J Poulin
- Cancer Research Institute, Beth Israel Deaconess Medical Center, Boston, MA 02115, USA; Department of Medicine, Harvard Medical School, Boston, MA 02115, USA
| | - Olesja Popow
- Cancer Research Institute, Beth Israel Deaconess Medical Center, Boston, MA 02115, USA; Department of Medicine, Harvard Medical School, Boston, MA 02115, USA; Department of Cell Biology, Harvard Medical School, Boston, MA 02115, USA
| | - Brian A Joughin
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Samantha Dale Strasser
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA; Cancer Research Institute, Beth Israel Deaconess Medical Center, Boston, MA 02115, USA; Department of Medicine, Harvard Medical School, Boston, MA 02115, USA; Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Alina Starchenko
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA; Cancer Research Institute, Beth Israel Deaconess Medical Center, Boston, MA 02115, USA; Department of Medicine, Harvard Medical School, Boston, MA 02115, USA
| | - Steven P Gygi
- Department of Cell Biology, Harvard Medical School, Boston, MA 02115, USA
| | - Douglas A Lauffenburger
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
| | - Kevin M Haigis
- Cancer Research Institute, Beth Israel Deaconess Medical Center, Boston, MA 02115, USA; Department of Medicine, Harvard Medical School, Boston, MA 02115, USA; Harvard Digestive Disease Center, Harvard Medical School, Boston, MA 02115, USA.
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216
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Deng HS, Xu LS, Ni HD, Wang YG, Li HB, He QL, Xu M, Yao M. Phosphoproteomic profiling of oxycodone‑treated spinal cord of rats with cancer‑induced bone pain. Mol Med Rep 2019; 20:4695-4705. [PMID: 31702022 DOI: 10.3892/mmr.2019.10702] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2018] [Accepted: 08/30/2019] [Indexed: 11/06/2022] Open
Abstract
Treatment of cancer‑induced bone pain (CIBP) is challenging in clinical settings. Oxycodone (OXY) is used to treat CIBP; however, a lack of understanding of the mechanisms underlying CIBP limits the application of OXY. In the present study, all rats were randomly divided into three groups: The sham group, the CIBP group, and the OXY group. Then, a rat model of CIBP was established by inoculation of Walker 256 tumor cells from rat tibia. Phosphoproteomic profiling of the OXY‑treated spinal dorsal cords of rats with CIBP was performed, and 1,679 phosphorylated proteins were identified, of which 160 proteins were significantly different between the CIBP and sham groups, and 113 proteins were significantly different between the CIBP and OXY groups. Gene Ontology analysis revealed that these proteins mainly clustered as synaptic‑associated cellular components; among these, disks large homolog 3 expression was markedly increased in rats with CIBP and was reversed by OXY treatment. Subsequent domain analysis of the differential proteins revealed several significant synaptic‑associated domains. In conclusion, synaptic‑associated cellular components may be critical in OXY‑induced analgesia in rats with CIBP.
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Affiliation(s)
- Hou-Sheng Deng
- Department of Anesthesiology and Pain Medicine, The First Affiliated Hospital of Jiaxing University, Jiaxing, Zhejiang 314001, P.R. China
| | - Long-Sheng Xu
- Department of Anesthesiology and Pain Medicine, The First Affiliated Hospital of Jiaxing University, Jiaxing, Zhejiang 314001, P.R. China
| | - Hua-Dong Ni
- Department of Anesthesiology and Pain Medicine, The First Affiliated Hospital of Jiaxing University, Jiaxing, Zhejiang 314001, P.R. China
| | - Yun-Gong Wang
- Department of Anesthesiology, Zhuzhou Central Hospital, Zhuzhou, Hunan 412000, P.R. China
| | - Hong-Bo Li
- Department of Anesthesiology and Pain Medicine, The First Affiliated Hospital of Jiaxing University, Jiaxing, Zhejiang 314001, P.R. China
| | - Qiu-Li He
- Department of Anesthesiology and Pain Medicine, The First Affiliated Hospital of Jiaxing University, Jiaxing, Zhejiang 314001, P.R. China
| | - Miao Xu
- Department of Anesthesiology and Pain Medicine, The First Affiliated Hospital of Jiaxing University, Jiaxing, Zhejiang 314001, P.R. China
| | - Ming Yao
- Department of Anesthesiology and Pain Medicine, The First Affiliated Hospital of Jiaxing University, Jiaxing, Zhejiang 314001, P.R. China
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217
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Ravenhill BJ, Kanjee U, Ahouidi A, Nobre L, Williamson J, Goldberg JM, Antrobus R, Dieye T, Duraisingh MT, Weekes MP. Quantitative comparative analysis of human erythrocyte surface proteins between individuals from two genetically distinct populations. Commun Biol 2019; 2:350. [PMID: 31552303 PMCID: PMC6754445 DOI: 10.1038/s42003-019-0596-y] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2019] [Accepted: 08/23/2019] [Indexed: 12/30/2022] Open
Abstract
Red blood cells (RBCs) play a critical role in oxygen transport, and are the focus of important diseases including malaria and the haemoglobinopathies. Proteins at the RBC surface can determine susceptibility to disease, however previous studies classifying the RBC proteome have not used specific strategies directed at enriching cell surface proteins. Furthermore, there has been no systematic analysis of variation in abundance of RBC surface proteins between genetically disparate human populations. These questions are important to inform not only basic RBC biology but additionally to identify novel candidate receptors for malarial parasites. Here, we use 'plasma membrane profiling' and tandem mass tag-based mass spectrometry to enrich and quantify primary RBC cell surface proteins from two sets of nine donors from the UK or Senegal. We define a RBC surface proteome and identify potential Plasmodium receptors based on either diminished protein abundance, or increased variation in RBCs from West African individuals.
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Affiliation(s)
- Benjamin J. Ravenhill
- Cambridge Institute for Medical Research, University of Cambridge, Hills Road, Cambridge, CB2 0XY UK
| | - Usheer Kanjee
- Department of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health, Boston, MA USA
| | - Ambroise Ahouidi
- Laboratory of Bacteriology and Virology, Le Dantec Hospital, Cheikh Anta Diop University, Dakar, Senegal
| | - Luis Nobre
- Cambridge Institute for Medical Research, University of Cambridge, Hills Road, Cambridge, CB2 0XY UK
| | - James Williamson
- Cambridge Institute for Medical Research, University of Cambridge, Hills Road, Cambridge, CB2 0XY UK
| | - Jonathan M. Goldberg
- Department of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health, Boston, MA USA
| | - Robin Antrobus
- Cambridge Institute for Medical Research, University of Cambridge, Hills Road, Cambridge, CB2 0XY UK
| | - Tandakha Dieye
- Laboratory of Bacteriology and Virology, Le Dantec Hospital, Cheikh Anta Diop University, Dakar, Senegal
| | - Manoj T. Duraisingh
- Department of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health, Boston, MA USA
| | - Michael P. Weekes
- Cambridge Institute for Medical Research, University of Cambridge, Hills Road, Cambridge, CB2 0XY UK
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218
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Wang LW, Shen H, Nobre L, Ersing I, Paulo JA, Trudeau S, Wang Z, Smith NA, Ma Y, Reinstadler B, Nomburg J, Sommermann T, Cahir-McFarland E, Gygi SP, Mootha VK, Weekes MP, Gewurz BE. Epstein-Barr-Virus-Induced One-Carbon Metabolism Drives B Cell Transformation. Cell Metab 2019; 30:539-555.e11. [PMID: 31257153 PMCID: PMC6720460 DOI: 10.1016/j.cmet.2019.06.003] [Citation(s) in RCA: 104] [Impact Index Per Article: 20.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/08/2018] [Revised: 03/14/2019] [Accepted: 06/05/2019] [Indexed: 02/05/2023]
Abstract
Epstein-Barr virus (EBV) causes Burkitt, Hodgkin, and post-transplant B cell lymphomas. How EBV remodels metabolic pathways to support rapid B cell outgrowth remains largely unknown. To gain insights, primary human B cells were profiled by tandem-mass-tag-based proteomics at rest and at nine time points after infection; >8,000 host and 29 viral proteins were quantified, revealing mitochondrial remodeling and induction of one-carbon (1C) metabolism. EBV-encoded EBNA2 and its target MYC were required for upregulation of the central mitochondrial 1C enzyme MTHFD2, which played key roles in EBV-driven B cell growth and survival. MTHFD2 was critical for maintaining elevated NADPH levels in infected cells, and oxidation of mitochondrial NADPH diminished B cell proliferation. Tracing studies underscored contributions of 1C to nucleotide synthesis, NADPH production, and redox defense. EBV upregulated import and synthesis of serine to augment 1C flux. Our results highlight EBV-induced 1C as a potential therapeutic target and provide a new paradigm for viral onco-metabolism.
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Affiliation(s)
- Liang Wei Wang
- Graduate Program in Virology, Division of Medical Sciences, Harvard Medical School, 77 Avenue Louis Pasteur, Boston, MA 02115, USA; Division of Infectious Diseases, Department of Medicine, Brigham and Women's Hospital, 181 Longwood Avenue, Boston, MA 02115, USA; Department of Microbiology, Harvard Medical School, Boston, MA 02115, USA
| | - Hongying Shen
- Department of Molecular Biology and Howard Hughes Medical Institute, Massachusetts General Hospital, Boston, MA 02114, USA; Department of Systems Biology, Harvard Medical School, Boston, MA 02115, USA; Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA
| | - Luis Nobre
- Cambridge Institute for Medical Research, University of Cambridge, Hills Road, Cambridge CB2 0XY, UK
| | - Ina Ersing
- Division of Infectious Diseases, Department of Medicine, Brigham and Women's Hospital, 181 Longwood Avenue, Boston, MA 02115, USA
| | - Joao A Paulo
- Department of Cell Biology, Harvard Medical School, Boston, MA 02115, USA
| | - Stephen Trudeau
- Division of Infectious Diseases, Department of Medicine, Brigham and Women's Hospital, 181 Longwood Avenue, Boston, MA 02115, USA
| | - Zhonghao Wang
- Division of Infectious Diseases, Department of Medicine, Brigham and Women's Hospital, 181 Longwood Avenue, Boston, MA 02115, USA; Department of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, People's Republic of China
| | - Nicholas A Smith
- Division of Infectious Diseases, Department of Medicine, Brigham and Women's Hospital, 181 Longwood Avenue, Boston, MA 02115, USA
| | - Yijie Ma
- Division of Infectious Diseases, Department of Medicine, Brigham and Women's Hospital, 181 Longwood Avenue, Boston, MA 02115, USA
| | - Bryn Reinstadler
- Department of Molecular Biology and Howard Hughes Medical Institute, Massachusetts General Hospital, Boston, MA 02114, USA; Department of Systems Biology, Harvard Medical School, Boston, MA 02115, USA; Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA
| | - Jason Nomburg
- Graduate Program in Virology, Division of Medical Sciences, Harvard Medical School, 77 Avenue Louis Pasteur, Boston, MA 02115, USA; Division of Infectious Diseases, Department of Medicine, Brigham and Women's Hospital, 181 Longwood Avenue, Boston, MA 02115, USA
| | - Thomas Sommermann
- Division of Infectious Diseases, Department of Medicine, Brigham and Women's Hospital, 181 Longwood Avenue, Boston, MA 02115, USA
| | - Ellen Cahir-McFarland
- Division of Infectious Diseases, Department of Medicine, Brigham and Women's Hospital, 181 Longwood Avenue, Boston, MA 02115, USA
| | - Steven P Gygi
- Department of Cell Biology, Harvard Medical School, Boston, MA 02115, USA
| | - Vamsi K Mootha
- Department of Molecular Biology and Howard Hughes Medical Institute, Massachusetts General Hospital, Boston, MA 02114, USA; Department of Systems Biology, Harvard Medical School, Boston, MA 02115, USA; Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA
| | - Michael P Weekes
- Cambridge Institute for Medical Research, University of Cambridge, Hills Road, Cambridge CB2 0XY, UK.
| | - Benjamin E Gewurz
- Graduate Program in Virology, Division of Medical Sciences, Harvard Medical School, 77 Avenue Louis Pasteur, Boston, MA 02115, USA; Division of Infectious Diseases, Department of Medicine, Brigham and Women's Hospital, 181 Longwood Avenue, Boston, MA 02115, USA; Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA; Department of Microbiology, Harvard Medical School, Boston, MA 02115, USA.
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219
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Li Q, Xie Y, Wong M, Lebrilla CB. Characterization of Cell Glycocalyx with Mass Spectrometry Methods. Cells 2019; 8:E882. [PMID: 31412618 PMCID: PMC6721671 DOI: 10.3390/cells8080882] [Citation(s) in RCA: 20] [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: 06/27/2019] [Revised: 08/05/2019] [Accepted: 08/12/2019] [Indexed: 02/06/2023] Open
Abstract
The cell membrane plays an important role in protecting the cell from its extracellular environment. As such, extensive work has been devoted to studying its structure and function. Crucial intercellular processes, such as signal transduction and immune protection, are mediated by cell surface glycosylation, which is comprised of large biomolecules, including glycoproteins and glycosphingolipids. Because perturbations in glycosylation could result in dysfunction of cells and are related to diseases, the analysis of surface glycosylation is critical for understanding pathogenic mechanisms and can further lead to biomarker discovery. Different mass spectrometry-based techniques have been developed for glycan analysis, ranging from highly specific, targeted approaches to more comprehensive profiling studies. In this review, we summarized the work conducted for extensive analysis of cell membrane glycosylation, particularly those employing liquid chromatography with mass spectrometry (LC-MS) in combination with various sample preparation techniques.
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Affiliation(s)
- Qiongyu Li
- Department of Chemistry, University of California, Davis, CA 95616, USA
| | - Yixuan Xie
- Department of Chemistry, University of California, Davis, CA 95616, USA
| | - Maurice Wong
- Department of Chemistry, University of California, Davis, CA 95616, USA
| | - Carlito B Lebrilla
- Department of Chemistry, University of California, Davis, CA 95616, USA.
- Department of Biochemistry, University of California, Davis, CA 95616, USA.
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220
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Lombard-Banek C, Choi SB, Nemes P. Single-cell proteomics in complex tissues using microprobe capillary electrophoresis mass spectrometry. Methods Enzymol 2019; 628:263-292. [PMID: 31668233 PMCID: PMC7397975 DOI: 10.1016/bs.mie.2019.07.001] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
Direct measurement of proteins produced by single cells promises to expand our understanding of molecular cell-to-cell differences (heterogeneity) and their contribution to normal and impaired development. High-resolution mass spectrometry (HRMS) is the modern technology of choice for the label-free identification and quantification of proteins, albeit usually in large populations of cells. Recent advances in microscale sample collection and processing, separation, and ionization have extended this powerful technology to single cells. This chapter describes a protocol based on microprobe capillary electrophoresis (CE) HRMS to enable the direct proteomic profiling of single cells embedded in complex tissues without the requirement for dissociation or whole-cell dissection. We here demonstrate the technology for identified individual cells in early developing embryos of Xenopus laevis and zebrafish as well as electrophysiologically identified single neurons in physiologically active brain slices from the mouse substantia nigra. Instructions are provided step-by-step to identify single cells using physiological or morphological cues, collect the content of the cells using microfabricated capillaries, and perform bottom-up proteomics using a custom-built CE electrospray ionization (ESI) mass spectrometer equipped with a quadrupole time-of-flight or orbitrap mass analyzer. Results obtained by this approach have revealed previously unknown differences between the proteomic state of embryonic cells and neurons. The data from single-cell proteomics by microprobe CE-ESI-HRMS complements those from single-cell transcriptomics, thereby opening exciting potentials to deepen our knowledge of molecular mechanisms governing cell and developmental processes.
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Affiliation(s)
- Camille Lombard-Banek
- Department of Chemistry & Biochemistry, University of Maryland, College Park, MD, United States
| | - Sam B Choi
- Department of Chemistry & Biochemistry, University of Maryland, College Park, MD, United States
| | - Peter Nemes
- Department of Chemistry & Biochemistry, University of Maryland, College Park, MD, United States.
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221
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Temporal Proteomic Analysis of BK Polyomavirus Infection Reveals Virus-Induced G 2 Arrest and Highly Effective Evasion of Innate Immune Sensing. J Virol 2019; 93:JVI.00595-19. [PMID: 31142673 PMCID: PMC6675895 DOI: 10.1128/jvi.00595-19] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2019] [Accepted: 05/18/2019] [Indexed: 12/13/2022] Open
Abstract
BK polyomavirus (BKPyV) is a small DNA virus that establishes a life-long persistent infection in the urinary tract of most people. BKPyV is known to cause severe morbidity in renal transplant recipients and can lead to graft rejection. The simple 5.2-kbp double-stranded DNA (dsDNA) genome expresses just seven known proteins; thus, it relies heavily on the host machinery to replicate. How the host proteome changes over the course of infection is key to understanding this host-virus interplay. Here, for the first time quantitative temporal viromics has been used to quantify global changes in >9,000 host proteins in two types of primary human epithelial cells throughout 72 h of BKPyV infection. These data demonstrate the importance of cell cycle progression and pseudo-G2 arrest in effective BKPyV replication, along with a surprising lack of an innate immune response throughout the whole virus replication cycle. BKPyV thus evades pathogen recognition to prevent activation of innate immune responses in a sophisticated manner.IMPORTANCE BK polyomavirus can cause serious problems in immune-suppressed patients, in particular, kidney transplant recipients who can develop polyomavirus-associated kidney disease. In this work, we have used advanced proteomics techniques to determine the changes to protein expression caused by infection of two independent primary cell types of the human urinary tract (kidney and bladder) throughout the replication cycle of this virus. Our findings have uncovered new details of a specific form of cell cycle arrest caused by this virus, and, importantly, we have identified that this virus has a remarkable ability to evade detection by host cell defense systems. In addition, our data provide an important resource for the future study of kidney epithelial cells and their infection by urinary tract pathogens.
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222
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Nightingale DJH, Lilley KS, Oliver SG. A Protocol to Map the Spatial Proteome Using HyperLOPIT in Saccharomyces cerevisiae. Bio Protoc 2019; 9:e3303. [PMID: 33654815 PMCID: PMC7854154 DOI: 10.21769/bioprotoc.3303] [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: 03/26/2019] [Revised: 05/12/2019] [Accepted: 06/25/2019] [Indexed: 11/02/2022] Open
Abstract
The correct subcellular localization of proteins is vital for cellular function and the study of this process at the systems level will therefore enrich our understanding of the roles of proteins within the cell. Multiple methods are available for the study of protein subcellular localization, including fluorescence microscopy, organelle cataloging, proximity labeling methods, and whole-cell protein correlation profiling methods. We provide here a protocol for the systems-level study of the subcellular localization of the yeast proteome, using a version of hyperplexed Localization of Organelle Proteins by Isotope Tagging (hyperLOPIT) that has been optimized for use with Saccharomyces cerevisiae. The entire protocol encompasses cell culture, cell lysis by nitrogen cavitation, subcellular fractionation, monitoring of the fractionation using Western blotting, labeling of samples with TMT isobaric tags and mass spectrometric analysis. Also included is a brief explanation of downstream processing of the mass spectrometry data to produce a map of the spatial proteome. If required, the nitrogen cavitation lysis and Western blotting portions of the protocol may be performed independently of the mass spectrometry analysis. The protocol in its entirety, however, enables the unbiased, systems-level and high-resolution analysis of the localizations of thousands of proteins in parallel within a single experiment.
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Affiliation(s)
- Daniel J. H. Nightingale
- Cambridge Centre for Proteomics, Department of Biochemistry, University of Cambridge, United Kingdom
- Cambridge Systems Biology Centre, Department of Biochemistry, University of Cambridge, United Kingdom
| | - Kathryn S. Lilley
- Cambridge Centre for Proteomics, Department of Biochemistry, University of Cambridge, United Kingdom
- Cambridge Systems Biology Centre, Department of Biochemistry, University of Cambridge, United Kingdom
| | - Stephen G. Oliver
- Cambridge Systems Biology Centre, Department of Biochemistry, University of Cambridge, United Kingdom
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223
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Zhang Y, Song G, Lal NK, Nagalakshmi U, Li Y, Zheng W, Huang PJ, Branon TC, Ting AY, Walley JW, Dinesh-Kumar SP. TurboID-based proximity labeling reveals that UBR7 is a regulator of N NLR immune receptor-mediated immunity. Nat Commun 2019; 10:3252. [PMID: 31324801 PMCID: PMC6642208 DOI: 10.1038/s41467-019-11202-z] [Citation(s) in RCA: 136] [Impact Index Per Article: 27.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2018] [Accepted: 07/01/2019] [Indexed: 11/25/2022] Open
Abstract
Nucleotide-binding leucine-rich repeat (NLR) immune receptors play a critical role in defence against pathogens in plants and animals. However, we know very little about NLR-interacting proteins and the mechanisms that regulate NLR levels. Here, we used proximity labeling (PL) to identify the proteome proximal to N, which is an NLR that confers resistance to Tobacco mosaic virus (TMV). Evaluation of different PL methods indicated that TurboID-based PL provides more efficient levels of biotinylation than BioID and BioID2 in plants. TurboID-based PL of N followed by quantitative proteomic analysis and genetic screening revealed multiple regulators of N-mediated immunity. Interestingly, a putative E3 ubiquitin ligase, UBR7, directly interacts with the TIR domain of N. UBR7 downregulation leads to an increased amount of N protein and enhanced TMV resistance. TMV-p50 effector disrupts the N-UBR7 interaction and relieves negative regulation of N. These findings demonstrate the utility of TurboID-based PL in plants and the N-interacting proteins we identified enhance our understanding of the mechanisms underlying NLR regulation.
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Affiliation(s)
- Yongliang Zhang
- Department of Plant Biology and The Genome Center, College of Biological Sciences, University of California, Davis, Davis, CA, 95616, USA.
- State Key Laboratory of Agro-Biotechnology and Ministry of Agriculture Key Laboratory of Soil Microbiology, College of Biological Sciences, China Agricultural University, Beijing, 100193, China.
| | - Gaoyuan Song
- Department of Plant Pathology and Microbiology, Iowa State University, Ames, IA, 50011, USA
| | - Neeraj K Lal
- Department of Plant Biology and The Genome Center, College of Biological Sciences, University of California, Davis, Davis, CA, 95616, USA
| | - Ugrappa Nagalakshmi
- Department of Plant Biology and The Genome Center, College of Biological Sciences, University of California, Davis, Davis, CA, 95616, USA
| | - Yuanyuan Li
- Department of Plant Biology and The Genome Center, College of Biological Sciences, University of California, Davis, Davis, CA, 95616, USA
| | - Wenjie Zheng
- Department of Plant Biology and The Genome Center, College of Biological Sciences, University of California, Davis, Davis, CA, 95616, USA
| | - Pin-Jui Huang
- Department of Plant Biology and The Genome Center, College of Biological Sciences, University of California, Davis, Davis, CA, 95616, USA
| | - Tess C Branon
- Departments of Genetics, Stanford University, Stanford, CA, 94305, USA
- Department of Chemistry, Stanford University, Stanford, CA, 94305, USA
- Department of Biology, Stanford University, Stanford, CA, 94305, USA
- Department of Chemistry, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA
| | - Alice Y Ting
- Departments of Genetics, Stanford University, Stanford, CA, 94305, USA
- Department of Chemistry, Stanford University, Stanford, CA, 94305, USA
- Department of Biology, Stanford University, Stanford, CA, 94305, USA
- Chan Zuckerberg Biohub, San Francisco, CA, 94158, USA
| | - Justin W Walley
- Department of Plant Pathology and Microbiology, Iowa State University, Ames, IA, 50011, USA.
| | - Savithramma P Dinesh-Kumar
- Department of Plant Biology and The Genome Center, College of Biological Sciences, University of California, Davis, Davis, CA, 95616, USA.
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224
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Sendinc E, Valle-Garcia D, Dhall A, Chen H, Henriques T, Navarrete-Perea J, Sheng W, Gygi SP, Adelman K, Shi Y. PCIF1 Catalyzes m6Am mRNA Methylation to Regulate Gene Expression. Mol Cell 2019; 75:620-630.e9. [PMID: 31279659 DOI: 10.1016/j.molcel.2019.05.030] [Citation(s) in RCA: 151] [Impact Index Per Article: 30.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2018] [Revised: 03/25/2019] [Accepted: 05/21/2019] [Indexed: 10/26/2022]
Abstract
mRNA modifications play important roles in regulating gene expression. One of the most abundant mRNA modifications is N6,2-O-dimethyladenosine (m6Am). Here, we demonstrate that m6Am is an evolutionarily conserved mRNA modification mediated by the Phosphorylated CTD Interacting Factor 1 (PCIF1), which catalyzes m6A methylation on 2-O-methylated adenine located at the 5' ends of mRNAs. Furthermore, PCIF1 catalyzes only 5' m6Am methylation of capped mRNAs but not internal m6A methylation in vitro and in vivo. To study the biological role of m6Am, we developed a robust methodology (m6Am-Exo-Seq) to map its transcriptome-wide distribution, which revealed no global crosstalk between m6Am and m6A under assayed conditions, suggesting that m6Am is functionally distinct from m6A. Importantly, we find that m6Am does not alter mRNA transcription or stability but negatively impacts cap-dependent translation of methylated mRNAs. Together, we identify the only human mRNA m6Am methyltransferase and demonstrate a mechanism of gene expression regulation through PCIF1-mediated m6Am mRNA methylation.
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Affiliation(s)
- Erdem Sendinc
- Division of Newborn Medicine and Epigenetics Program, Department of Medicine, Boston Children's Hospital, Boston, MA 02115, USA; Department of Cell Biology, Harvard Medical School, Boston, MA 02115, USA
| | - David Valle-Garcia
- Division of Newborn Medicine and Epigenetics Program, Department of Medicine, Boston Children's Hospital, Boston, MA 02115, USA; Department of Cell Biology, Harvard Medical School, Boston, MA 02115, USA
| | - Abhinav Dhall
- Division of Newborn Medicine and Epigenetics Program, Department of Medicine, Boston Children's Hospital, Boston, MA 02115, USA; Department of Cell Biology, Harvard Medical School, Boston, MA 02115, USA
| | - Hao Chen
- Division of Newborn Medicine and Epigenetics Program, Department of Medicine, Boston Children's Hospital, Boston, MA 02115, USA; Department of Cell Biology, Harvard Medical School, Boston, MA 02115, USA
| | - Telmo Henriques
- Department of Biological Chemistry and Molecular Pharmacology, Harvard Medical School, Boston, MA 02115, USA
| | | | - Wanqiang Sheng
- Division of Newborn Medicine and Epigenetics Program, Department of Medicine, Boston Children's Hospital, Boston, MA 02115, USA; Department of Cell Biology, Harvard Medical School, Boston, MA 02115, USA
| | - Steven P Gygi
- Department of Cell Biology, Harvard Medical School, Boston, MA 02115, USA
| | - Karen Adelman
- Department of Biological Chemistry and Molecular Pharmacology, Harvard Medical School, Boston, MA 02115, USA
| | - Yang Shi
- Division of Newborn Medicine and Epigenetics Program, Department of Medicine, Boston Children's Hospital, Boston, MA 02115, USA; Department of Cell Biology, Harvard Medical School, Boston, MA 02115, USA.
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225
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Gyuris A, Navarrete-Perea J, Jo A, Cristea S, Zhou S, Fraser K, Wei Z, Krichevsky AM, Weissleder R, Lee H, Gygi SP, Charest A. Physical and Molecular Landscapes of Mouse Glioma Extracellular Vesicles Define Heterogeneity. Cell Rep 2019; 27:3972-3987.e6. [PMID: 31242427 PMCID: PMC6604862 DOI: 10.1016/j.celrep.2019.05.089] [Citation(s) in RCA: 41] [Impact Index Per Article: 8.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2018] [Revised: 04/15/2019] [Accepted: 05/22/2019] [Indexed: 12/21/2022] Open
Abstract
Cancer extracellular vesicles (EVs) are highly heterogeneous, which impedes our understanding of their function as intercellular communication agents and biomarkers. To deconstruct this heterogeneity, we analyzed extracellular RNAs (exRNAs) and extracellular proteins (exPTNs) from size fractionation of large, medium, and small EVs and ribonucleoprotein complexes (RNPs) from mouse glioblastoma cells by RNA sequencing and quantitative proteomics. mRNA from medium-sized EVs most closely reflects the cellular transcriptome, whereas small EV exRNA is enriched in small non-coding RNAs and RNPs contain precisely processed tRNA fragments. The exPTN composition of EVs and RNPs reveals that they are closely related by vesicle type, independent of their cellular origin, and single EV analysis reveals that small EVs are less heterogeneous in their protein content than larger ones. We provide a foundation for better understanding of segregation of macromolecules in glioma EVs through a catalog of diverse exRNAs and exPTNs.
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Affiliation(s)
- Aron Gyuris
- Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02215, USA
| | | | - Ala Jo
- Center for Systems Biology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA
| | - Simona Cristea
- Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Boston, MA 02215, USA; Department of Biostatistics, Harvard T. H. Chan School of Public Health, Boston, MA 02115, USA
| | - Shuang Zhou
- Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02215, USA
| | - Kyle Fraser
- Center for Systems Biology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA
| | - Zhiyun Wei
- Department of Neurology, Ann Romney Center for Neurologic Diseases, Initiative for RNA Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Anna M Krichevsky
- Department of Neurology, Ann Romney Center for Neurologic Diseases, Initiative for RNA Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Ralph Weissleder
- Center for Systems Biology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA; Department of Systems Biology, Harvard Medical School, Boston, MA 02115, USA
| | - Hakho Lee
- Center for Systems Biology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA
| | - Steve P Gygi
- Department of Cell Biology, Harvard Medical School, Boston, MA 02215, USA
| | - Al Charest
- Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02215, USA; Cancer Research Institute, Beth Israel Deaconess Medical Center, Boston, MA 02215, USA.
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226
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Chi B, O'Connell JD, Iocolano AD, Coady JA, Yu Y, Gangopadhyay J, Gygi SP, Reed R. The neurodegenerative diseases ALS and SMA are linked at the molecular level via the ASC-1 complex. Nucleic Acids Res 2019; 46:11939-11951. [PMID: 30398641 PMCID: PMC6294556 DOI: 10.1093/nar/gky1093] [Citation(s) in RCA: 34] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2018] [Accepted: 10/19/2018] [Indexed: 12/12/2022] Open
Abstract
Understanding the molecular pathways disrupted in motor neuron diseases is urgently needed. Here, we employed CRISPR knockout (KO) to investigate the functions of four ALS-causative RNA/DNA binding proteins (FUS, EWSR1, TAF15 and MATR3) within the RNAP II/U1 snRNP machinery. We found that each of these structurally related proteins has distinct roles with FUS KO resulting in loss of U1 snRNP and the SMN complex, EWSR1 KO causing dissociation of the tRNA ligase complex, and TAF15 KO resulting in loss of transcription factors P-TEFb and TFIIF. However, all four ALS-causative proteins are required for association of the ASC-1 transcriptional co-activator complex with the RNAP II/U1 snRNP machinery. Remarkably, mutations in the ASC-1 complex are known to cause a severe form of Spinal Muscular Atrophy (SMA), and we show that an SMA-causative mutation in an ASC-1 component or an ALS-causative mutation in FUS disrupts association between the ASC-1 complex and the RNAP II/U1 snRNP machinery. We conclude that ALS and SMA are more intimately tied to one another than previously thought, being linked via the ASC-1 complex.
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Affiliation(s)
- Binkai Chi
- Department of Cell Biology, Harvard Medical School, 240 Longwood Ave. Boston MA 02115, USA
| | - Jeremy D O'Connell
- Department of Cell Biology, Harvard Medical School, 240 Longwood Ave. Boston MA 02115, USA
| | - Alexander D Iocolano
- Department of Cell Biology, Harvard Medical School, 240 Longwood Ave. Boston MA 02115, USA
| | - Jordan A Coady
- Department of Cell Biology, Harvard Medical School, 240 Longwood Ave. Boston MA 02115, USA
| | - Yong Yu
- Department of Cell Biology, Harvard Medical School, 240 Longwood Ave. Boston MA 02115, USA
| | - Jaya Gangopadhyay
- Department of Cell Biology, Harvard Medical School, 240 Longwood Ave. Boston MA 02115, USA
| | - Steven P Gygi
- Department of Cell Biology, Harvard Medical School, 240 Longwood Ave. Boston MA 02115, USA
| | - Robin Reed
- Department of Cell Biology, Harvard Medical School, 240 Longwood Ave. Boston MA 02115, USA
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227
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Zhang Z, Tang J, Di R, Liu Q, Wang X, Gan S, Zhang X, Zhang J, Chen W, Hu W, Chu M. Identification of Prolificacy-Related Differentially Expressed Proteins from Sheep (Ovis aries) Hypothalamus by Comparative Proteomics. Proteomics 2019; 19:e1900118. [PMID: 31136077 DOI: 10.1002/pmic.201900118] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2019] [Revised: 05/13/2019] [Indexed: 12/12/2022]
Abstract
Reproduction, as a physiologically complex process, can significantly affect the development of the sheep industry. However, a lack of overall understanding to sheep fecundity has long blocked the progress in sheep breeding and husbandry. In the present study, the aim is to identify differentially expressed proteins (DEPs) from hypothalamus in sheep without FecB mutation in two comparison groups: polytocous (PF) versus monotocous (MF) sheep at follicular phase and polytocous (PL) versus monotocous (ML) sheep at luteal phase. Totally 5058 proteins are identified in sheep hypothalamus, where 22 in PF versus MF, and 39 proteins in PL versus ML are differentially expressed, respectively. A functional analysis is then conducted including Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathway analysis to reveal the potential roles of these DEPs. The proteins ENSOARP00000020097, ENSOARP00000006714, growth hormone (GH), histone deacetylase 4 (HDAC4), and 5'-3' exoribonuclease 2 (XRN2) in PF versus MF, and bcl-2-associated athanogene 4 (BAG4), insulin-like growth factor-1 receptor (IGF1R), hydroxysteroid 11-beta dehydrogenase 1 (HSD11B1), and transthyretin (TTR) in PL versus ML appear to modulate reproduction, presumably by influencing the activities of gonadotropin-releasing hormone (GnRH). This study provides an alternative method to identify DEPs associated with sheep prolificacy from the hypothalamus. The mass spectrometry data are available via ProteomeXchange with identifier PXD013822.
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Affiliation(s)
- Zhuangbiao Zhang
- Key Laboratory of Animal Genetics and Breeding and Reproduction of Ministry of Agriculture, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, 100193, China
| | - Jishun Tang
- Key Laboratory of Animal Genetics and Breeding and Reproduction of Ministry of Agriculture, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, 100193, China.,Institute of Animal Husbandry and Veterinary Medicine, Anhui Academy of Agricultural Sciences, Hefei, 230031, China
| | - Ran Di
- Key Laboratory of Animal Genetics and Breeding and Reproduction of Ministry of Agriculture, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, 100193, China
| | - Qiuyue Liu
- Key Laboratory of Animal Genetics and Breeding and Reproduction of Ministry of Agriculture, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, 100193, China
| | - Xiangyu Wang
- Key Laboratory of Animal Genetics and Breeding and Reproduction of Ministry of Agriculture, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, 100193, China
| | - Shangquan Gan
- State Key Laboratory of Sheep Genetic Improvement and Healthy Production, Xinjiang Academy of Agricultural and Reclamation Sciences, Shihezi, 832000, China
| | - Xiaosheng Zhang
- Tianjin Institute of Animal Sciences, Tianjin, 300381, China
| | - Jinlong Zhang
- Tianjin Institute of Animal Sciences, Tianjin, 300381, China
| | - Wei Chen
- Shanghai Applied Protein Technology Co., Ltd., Shanghai, 200233, China
| | - Wenping Hu
- Key Laboratory of Animal Genetics and Breeding and Reproduction of Ministry of Agriculture, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, 100193, China
| | - Mingxing Chu
- Key Laboratory of Animal Genetics and Breeding and Reproduction of Ministry of Agriculture, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, 100193, China
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Hafner M, Mills CE, Subramanian K, Chen C, Chung M, Boswell SA, Everley RA, Liu C, Walmsley CS, Juric D, Sorger PK. Multiomics Profiling Establishes the Polypharmacology of FDA-Approved CDK4/6 Inhibitors and the Potential for Differential Clinical Activity. Cell Chem Biol 2019; 26:1067-1080.e8. [PMID: 31178407 DOI: 10.1016/j.chembiol.2019.05.005] [Citation(s) in RCA: 138] [Impact Index Per Article: 27.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2018] [Revised: 03/14/2019] [Accepted: 05/13/2019] [Indexed: 11/28/2022]
Abstract
The target profiles of many drugs are established early in their development and are not systematically revisited at the time of FDA approval. Thus, it is often unclear whether therapeutics with the same nominal targets but different chemical structures are functionally equivalent. In this paper we use five different phenotypic and biochemical assays to compare approved inhibitors of cyclin-dependent kinases 4/6-collectively regarded as breakthroughs in the treatment of hormone receptor-positive breast cancer. We find that transcriptional, proteomic, and phenotypic changes induced by palbociclib, ribociclib, and abemaciclib differ significantly; abemaciclib in particular has advantageous activities partially overlapping those of alvocidib, an older polyselective CDK inhibitor. In cells and mice, abemaciclib inhibits kinases other than CDK4/6 including CDK2/cyclin A/E-implicated in resistance to CDK4/6 inhibition-and CDK1/cyclin B. The multifaceted experimental and computational approaches described here therefore uncover underappreciated differences in CDK4/6 inhibitor activities with potential importance in treating human patients.
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Affiliation(s)
- Marc Hafner
- Laboratory of Systems Pharmacology, Department of Systems Biology, Harvard Medical School, Boston, MA 02115, USA
| | - Caitlin E Mills
- Laboratory of Systems Pharmacology, Department of Systems Biology, Harvard Medical School, Boston, MA 02115, USA
| | - Kartik Subramanian
- Laboratory of Systems Pharmacology, Department of Systems Biology, Harvard Medical School, Boston, MA 02115, USA
| | - Chen Chen
- Laboratory of Systems Pharmacology, Department of Systems Biology, Harvard Medical School, Boston, MA 02115, USA
| | - Mirra Chung
- Laboratory of Systems Pharmacology, Department of Systems Biology, Harvard Medical School, Boston, MA 02115, USA
| | - Sarah A Boswell
- Laboratory of Systems Pharmacology, Department of Systems Biology, Harvard Medical School, Boston, MA 02115, USA
| | - Robert A Everley
- Laboratory of Systems Pharmacology, Department of Systems Biology, Harvard Medical School, Boston, MA 02115, USA
| | - Changchang Liu
- Laboratory of Systems Pharmacology, Department of Systems Biology, Harvard Medical School, Boston, MA 02115, USA
| | - Charlotte S Walmsley
- Termeer Center for Targeted Therapies, Massachusetts General Hospital Cancer Center, Boston, MA 02114, USA
| | - Dejan Juric
- Laboratory of Systems Pharmacology, Department of Systems Biology, Harvard Medical School, Boston, MA 02115, USA; Termeer Center for Targeted Therapies, Massachusetts General Hospital Cancer Center, Boston, MA 02114, USA.
| | - Peter K Sorger
- Laboratory of Systems Pharmacology, Department of Systems Biology, Harvard Medical School, Boston, MA 02115, USA.
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229
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Poulin EJ, Bera AK, Lu J, Lin YJ, Strasser SD, Paulo JA, Huang TQ, Morales C, Yan W, Cook J, Nowak JA, Brubaker DK, Joughin BA, Johnson CW, DeStefanis RA, Ghazi PC, Gondi S, Wales TE, Iacob RE, Bogdanova L, Gierut JJ, Li Y, Engen JR, Perez-Mancera PA, Braun BS, Gygi SP, Lauffenburger DA, Westover KD, Haigis KM. Tissue-Specific Oncogenic Activity of KRAS A146T. Cancer Discov 2019; 9:738-755. [PMID: 30952657 PMCID: PMC6548671 DOI: 10.1158/2159-8290.cd-18-1220] [Citation(s) in RCA: 123] [Impact Index Per Article: 24.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2018] [Revised: 03/06/2019] [Accepted: 04/02/2019] [Indexed: 12/16/2022]
Abstract
KRAS is the most frequently mutated oncogene. The incidence of specific KRAS alleles varies between cancers from different sites, but it is unclear whether allelic selection results from biological selection for specific mutant KRAS proteins. We used a cross-disciplinary approach to compare KRASG12D, a common mutant form, and KRASA146T, a mutant that occurs only in selected cancers. Biochemical and structural studies demonstrated that KRASA146T exhibits a marked extension of switch 1 away from the protein body and nucleotide binding site, which activates KRAS by promoting a high rate of intrinsic and guanine nucleotide exchange factor-induced nucleotide exchange. Using mice genetically engineered to express either allele, we found that KRASG12D and KRASA146T exhibit distinct tissue-specific effects on homeostasis that mirror mutational frequencies in human cancers. These tissue-specific phenotypes result from allele-specific signaling properties, demonstrating that context-dependent variations in signaling downstream of different KRAS mutants drive the KRAS mutational pattern seen in cancer. SIGNIFICANCE: Although epidemiologic and clinical studies have suggested allele-specific behaviors for KRAS, experimental evidence for allele-specific biological properties is limited. We combined structural biology, mass spectrometry, and mouse modeling to demonstrate that the selection for specific KRAS mutants in human cancers from different tissues is due to their distinct signaling properties.See related commentary by Hobbs and Der, p. 696.This article is highlighted in the In This Issue feature, p. 681.
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Affiliation(s)
- Emily J Poulin
- Cancer Research Institute, Beth Israel Deaconess Medical Center, Boston, Massachusetts
- Department of Medicine, Harvard Medical School, Boston, Massachusetts
| | - Asim K Bera
- Departments of Biochemistry and Radiation Oncology, The University of Texas Southwestern Medical Center at Dallas, Dallas, Texas
| | - Jia Lu
- Departments of Biochemistry and Radiation Oncology, The University of Texas Southwestern Medical Center at Dallas, Dallas, Texas
| | - Yi-Jang Lin
- Cancer Research Institute, Beth Israel Deaconess Medical Center, Boston, Massachusetts
- Department of Medicine, Harvard Medical School, Boston, Massachusetts
| | - Samantha Dale Strasser
- Cancer Research Institute, Beth Israel Deaconess Medical Center, Boston, Massachusetts
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts
- Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, Massachusetts
| | - Joao A Paulo
- Department of Cell Biology, Harvard Medical School, Boston, Massachusetts
| | - Tannie Q Huang
- Department of Pediatrics and Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, California
| | - Carolina Morales
- Department of Pediatrics and Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, California
| | - Wei Yan
- Departments of Biochemistry and Radiation Oncology, The University of Texas Southwestern Medical Center at Dallas, Dallas, Texas
| | - Joshua Cook
- Cancer Research Institute, Beth Israel Deaconess Medical Center, Boston, Massachusetts
- Department of Medicine, Harvard Medical School, Boston, Massachusetts
| | - Jonathan A Nowak
- Department of Pathology, Brigham and Women's Hospital, Boston, Massachusetts
| | - Douglas K Brubaker
- Cancer Research Institute, Beth Israel Deaconess Medical Center, Boston, Massachusetts
- Department of Medicine, Harvard Medical School, Boston, Massachusetts
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts
| | - Brian A Joughin
- Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, Massachusetts
| | - Christian W Johnson
- Cancer Research Institute, Beth Israel Deaconess Medical Center, Boston, Massachusetts
- Department of Medicine, Harvard Medical School, Boston, Massachusetts
| | - Rebecca A DeStefanis
- Cancer Research Institute, Beth Israel Deaconess Medical Center, Boston, Massachusetts
- Department of Medicine, Harvard Medical School, Boston, Massachusetts
| | - Phaedra C Ghazi
- Cancer Research Institute, Beth Israel Deaconess Medical Center, Boston, Massachusetts
- Department of Medicine, Harvard Medical School, Boston, Massachusetts
| | - Sudershan Gondi
- Departments of Biochemistry and Radiation Oncology, The University of Texas Southwestern Medical Center at Dallas, Dallas, Texas
| | - Thomas E Wales
- Department of Chemistry and Chemical Biology, Northeastern University, Boston, Massachusetts
| | - Roxana E Iacob
- Department of Chemistry and Chemical Biology, Northeastern University, Boston, Massachusetts
| | - Lana Bogdanova
- Department of Pediatrics and Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, California
| | - Jessica J Gierut
- Cancer Research Institute, Beth Israel Deaconess Medical Center, Boston, Massachusetts
- Department of Medicine, Harvard Medical School, Boston, Massachusetts
| | - Yina Li
- Cancer Research Institute, Beth Israel Deaconess Medical Center, Boston, Massachusetts
- Department of Medicine, Harvard Medical School, Boston, Massachusetts
| | - John R Engen
- Department of Chemistry and Chemical Biology, Northeastern University, Boston, Massachusetts
| | - Pedro A Perez-Mancera
- Department of Molecular and Clinical Cancer Medicine, Institute of Translational Medicine, University of Liverpool, Liverpool, UK
| | - Benjamin S Braun
- Department of Pediatrics and Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, California
| | - Steven P Gygi
- Department of Cell Biology, Harvard Medical School, Boston, Massachusetts
| | - Douglas A Lauffenburger
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts
| | - Kenneth D Westover
- Departments of Biochemistry and Radiation Oncology, The University of Texas Southwestern Medical Center at Dallas, Dallas, Texas.
| | - Kevin M Haigis
- Cancer Research Institute, Beth Israel Deaconess Medical Center, Boston, Massachusetts.
- Department of Medicine, Harvard Medical School, Boston, Massachusetts
- Harvard Digestive Disease Center, Harvard Medical School, Boston, Massachusetts
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The genetic mechanism of high prolificacy in small tail han sheep by comparative proteomics of ovaries in the follicular and luteal stages. J Proteomics 2019; 204:103394. [PMID: 31146049 DOI: 10.1016/j.jprot.2019.103394] [Citation(s) in RCA: 26] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2019] [Revised: 05/21/2019] [Accepted: 05/25/2019] [Indexed: 12/16/2022]
Abstract
To investigate the genetic mechanism of sheep prolificacy, protein profiling of ovaries in the follicular and luteal phases was conducted. The tandem mass tag technique was used to analyze the proteomes of ovaries from STH sheep that did not have the FecB mutation in the bone morphogenetic protein receptor 1B gene. Parallel Reaction Monitoring (PRM) was operated to validate the target differentially abundant proteins (DAPs). The result showed, a total of 34,037 peptides were found, and 5074 proteins were identified. The screened DAPs strictly related to energy metabolism, hormone synthesis, ovarian function were significantly enriched in oxidative phosphorylation(COX7A, ND5, and UQCR10), ovarian steroidogenesis(StAR and HSD3B), taurine and hypotaurine metabolism(CSAD), glycosaminoglycan biosynthesis-heparin sulfate/heparin(GLCE), necroptosis(H2AX, AIFM1, and FTH1), protein digestion and absorption(COL4A1 and COL4A5) and glycosaminoglycan degradation(HYAL2 and HEXB) pathways. These analyses indicated that the reproductive performance of sheep is regulated through different pathways. In consequence, these findings are an important resource that can be used in future studies of the genetic mechanism of high fecundity traits in sheep, and these DAPs can be further investigated as candidate markers to predict prolificacy of sheep. SIGNIFICANCE: Litter size is an important quantitative trait, but the genetic mechanism of high-prolificacy is still unclear in sheep. Our study identified potential signaling pathways and differentially abundant proteins related to reproductive performance. These findings will facilitate a better revealing the mechanism and provide possible targets for molecular design breeding for the formation of polytocous traits in sheep.
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231
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Plate L, Rius B, Nguyen B, Genereux JC, Kelly JW, Wiseman RL. Quantitative Interactome Proteomics Reveals a Molecular Basis for ATF6-Dependent Regulation of a Destabilized Amyloidogenic Protein. Cell Chem Biol 2019; 26:913-925.e4. [PMID: 31105062 DOI: 10.1016/j.chembiol.2019.04.001] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2019] [Revised: 03/14/2019] [Accepted: 03/31/2019] [Indexed: 12/24/2022]
Abstract
Activation of the unfolded protein response (UPR)-associated transcription factor ATF6 has emerged as a promising strategy to reduce the secretion and subsequent toxic aggregation of destabilized, amyloidogenic proteins implicated in systemic amyloid diseases. However, the molecular mechanism by which ATF6 activation reduces the secretion of amyloidogenic proteins remains poorly defined. We employ a quantitative interactomics platform to define how ATF6 activation reduces secretion of a destabilized, amyloidogenic immunoglobulin light chain (LC) associated with light-chain amyloidosis (AL). Using this platform, we show that ATF6 activation increases the targeting of this destabilized LC to a subset of pro-folding ER proteostasis factors that retains the amyloidogenic LC within the ER, preventing its secretion. Our results define a molecular basis for the ATF6-dependent reduction in destabilized LC secretion and highlight the advantage for targeting this UPR-associated transcription factor to reduce secretion of destabilized, amyloidogenic proteins implicated in AL and related systemic amyloid diseases.
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Affiliation(s)
- Lars Plate
- Department of Molecular Medicine, The Scripps Research Institute, 10550 North Torrey Pines Road, MB110, La Jolla, CA 92037, USA; Department of Chemistry, The Scripps Research Institute, La Jolla, CA 92037, USA
| | - Bibiana Rius
- Department of Molecular Medicine, The Scripps Research Institute, 10550 North Torrey Pines Road, MB110, La Jolla, CA 92037, USA
| | - Bianca Nguyen
- Department of Molecular Medicine, The Scripps Research Institute, 10550 North Torrey Pines Road, MB110, La Jolla, CA 92037, USA
| | - Joseph C Genereux
- Department of Molecular Medicine, The Scripps Research Institute, 10550 North Torrey Pines Road, MB110, La Jolla, CA 92037, USA; Department of Chemistry, The Scripps Research Institute, La Jolla, CA 92037, USA
| | - Jeffery W Kelly
- Department of Chemistry, The Scripps Research Institute, La Jolla, CA 92037, USA; The Skaggs Institute for Chemical Biology, The Scripps Research Institute, La Jolla, CA 92037, USA
| | - R Luke Wiseman
- Department of Molecular Medicine, The Scripps Research Institute, 10550 North Torrey Pines Road, MB110, La Jolla, CA 92037, USA.
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232
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Pappireddi N, Martin L, Wühr M. A Review on Quantitative Multiplexed Proteomics. Chembiochem 2019; 20:1210-1224. [PMID: 30609196 PMCID: PMC6520187 DOI: 10.1002/cbic.201800650] [Citation(s) in RCA: 176] [Impact Index Per Article: 35.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2018] [Revised: 12/27/2018] [Indexed: 12/11/2022]
Abstract
Over the last few decades, mass spectrometry-based proteomics has become an increasingly powerful tool that is now able to routinely detect and quantify thousands of proteins. A major advance for global protein quantification was the introduction of isobaric tags, which, in a single experiment, enabled the global quantification of proteins across multiple samples. Herein, these methods are referred to as multiplexed proteomics. The principles, advantages, and drawbacks of various multiplexed proteomics techniques are discussed and compared with alternative approaches. We also discuss how the emerging combination of multiplexing with targeted proteomics might enable the reliable and high-quality quantification of very low abundance proteins across multiple conditions. Lastly, we suggest that fusing multiplexed proteomics with data-independent acquisition approaches might enable the comparison of hundreds of different samples without missing values, while maintaining the superb measurement precision and accuracy obtainable with isobaric tag quantification.
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Affiliation(s)
- Nishant Pappireddi
- Department of Molecular Biology, Princeton University, Princeton, NJ, USA
- The Lewis-Sigler Institute of Integrative Genomics, Princeton University, Princeton, NJ, USA
| | - Lance Martin
- Department of Molecular Biology, Princeton University, Princeton, NJ, USA
- The Lewis-Sigler Institute of Integrative Genomics, Princeton University, Princeton, NJ, USA
| | - Martin Wühr
- Department of Molecular Biology, Princeton University, Princeton, NJ, USA
- The Lewis-Sigler Institute of Integrative Genomics, Princeton University, Princeton, NJ, USA
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233
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Aggarwal S, Talukdar NC, Yadav AK. Advances in Higher Order Multiplexing Techniques in Proteomics. J Proteome Res 2019; 18:2360-2369. [DOI: 10.1021/acs.jproteome.9b00228] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/12/2023]
Affiliation(s)
- Suruchi Aggarwal
- Drug Discovery Research Centre, Translational Health Science and Technology Institute, NCR Biotech Science Cluster, Third Milestone, Faridabad − Gurgaon Expressway, Faridabad, Haryana 121001, India
- Division of Life Sciences, Institute of Advanced Study in Science and Technology, Vigyan Path, Paschim Boragaon, Garchuk, Guwahati, Assam 781035, India
- Department of Molecular Biology and Biotechnology, Cotton University, Panbazar, Guwahati, Assam 781001, India
| | - Narayan C. Talukdar
- Division of Life Sciences, Institute of Advanced Study in Science and Technology, Vigyan Path, Paschim Boragaon, Garchuk, Guwahati, Assam 781035, India
- Department of Molecular Biology and Biotechnology, Cotton University, Panbazar, Guwahati, Assam 781001, India
| | - Amit K. Yadav
- Drug Discovery Research Centre, Translational Health Science and Technology Institute, NCR Biotech Science Cluster, Third Milestone, Faridabad − Gurgaon Expressway, Faridabad, Haryana 121001, India
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234
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Iwasaki M, Tabata T, Kawahara Y, Ishihama Y, Nakagawa M. Removal of Interference MS/MS Spectra for Accurate Quantification in Isobaric Tag-Based Proteomics. J Proteome Res 2019; 18:2535-2544. [PMID: 31039306 DOI: 10.1021/acs.jproteome.9b00078] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
Rapid progress in mass spectrometry (MS) has made comprehensive analyses of the proteome possible, but accurate quantification remains challenging. Isobaric tags for relative and absolute quantification (iTRAQ) is widely used as a tool to quantify proteins expressed in different cell types and various cellular conditions. The quantification precision of iTRAQ is quite high, but the accuracy dramatically decreases in the presence of interference peptides that are coeluted and coisolated with the target peptide. Here, we developed "removal of interference mixture MS/MS spectra (RiMS)" to improve the quantification accuracy of isobaric tag approaches. The presence of spectrum interference is judged by examining the overlap in the elution time of all scanned precursor ions. Removal of this interference decreased protein identification (11% loss) but improved quantification accuracy. Further, RiMS does not require any specialized equipment, such as MS3 instruments or an additional ion separation mode. Finally, we demonstrated that RiMS can be used to quantitatively compare human-induced pluripotent stem cells and human dermal fibroblasts, as it revealed differential protein expressions that reflect the biological characteristics of the cells.
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Affiliation(s)
- Mio Iwasaki
- Center for iPS Cell Research and Application , Kyoto University , Kyoto 606-8507 , Japan
| | - Tsuyoshi Tabata
- Center for iPS Cell Research and Application , Kyoto University , Kyoto 606-8507 , Japan.,Graduate school of Pharmaceutical Sciences , Kyoto University , Kyoto 606-8501 , Japan
| | - Yuka Kawahara
- Center for iPS Cell Research and Application , Kyoto University , Kyoto 606-8507 , Japan
| | - Yasushi Ishihama
- Graduate school of Pharmaceutical Sciences , Kyoto University , Kyoto 606-8501 , Japan
| | - Masato Nakagawa
- Center for iPS Cell Research and Application , Kyoto University , Kyoto 606-8507 , Japan
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235
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Zhou B, Yan Y, Wang Y, You S, Freeman MR, Yang W. Quantitative proteomic analysis of prostate tissue specimens identifies deregulated protein complexes in primary prostate cancer. Clin Proteomics 2019; 16:15. [PMID: 31011308 PMCID: PMC6461817 DOI: 10.1186/s12014-019-9236-2] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2018] [Accepted: 04/09/2019] [Indexed: 12/18/2022] Open
Abstract
Background Prostate cancer (PCa) is the most frequently diagnosed non-skin cancer and a leading cause of mortality among males in developed countries. However, our understanding of the global changes of protein complexes within PCa tissue specimens remains very limited, although it has been well recognized that protein complexes carry out essentially all major processes in living organisms and that their deregulation drives the pathogenesis and progression of various diseases. Methods By coupling tandem mass tagging-synchronous precursor selection-mass spectrometry/mass spectrometry/mass spectrometry with differential expression and co-regulation analyses, the present study compared the differences between protein complexes in normal prostate, low-grade PCa, and high-grade PCa tissue specimens. Results Globally, a large downregulated putative protein–protein interaction (PPI) network was detected in both low-grade and high-grade PCa, yet a large upregulated putative PPI network was only detected in high-grade but not low-grade PCa, compared with normal controls. To identify specific protein complexes that are deregulated in PCa, quantified proteins were mapped to protein complexes in CORUM (v3.0), a high-quality collection of 4274 experimentally verified mammalian protein complexes. Differential expression and gene ontology (GO) enrichment analyses suggested that 13 integrin complexes involved in cell adhesion were significantly downregulated in both low- and high-grade PCa compared with normal prostate, and that four Prothymosin alpha (ProTα) complexes were significantly upregulated in high-grade PCa compared with normal prostate. Moreover, differential co-regulation and GO enrichment analyses indicated that the assembly levels of six protein complexes involved in RNA splicing were significantly increased in low-grade PCa, and those of four subcomplexes of mitochondrial complex I were significantly increased in high-grade PCa, compared with normal prostate. Conclusions In summary, to the best of our knowledge, the study represents the first large-scale and quantitative, albeit indirect, comparison of individual protein complexes in human PCa tissue specimens. It may serve as a useful resource for better understanding the deregulation of protein complexes in primary PCa. Electronic supplementary material The online version of this article (10.1186/s12014-019-9236-2) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Bo Zhou
- Division of Cancer Biology and Therapeutics, Departments of Surgery and Biomedical Sciences, Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Rm. 4009, Davis Research Bldg 8700 Beverly Blvd, Los Angeles, CA 90048 USA
| | - Yiwu Yan
- Division of Cancer Biology and Therapeutics, Departments of Surgery and Biomedical Sciences, Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Rm. 4009, Davis Research Bldg 8700 Beverly Blvd, Los Angeles, CA 90048 USA
| | - Yang Wang
- Division of Cancer Biology and Therapeutics, Departments of Surgery and Biomedical Sciences, Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Rm. 4009, Davis Research Bldg 8700 Beverly Blvd, Los Angeles, CA 90048 USA
| | - Sungyong You
- Division of Cancer Biology and Therapeutics, Departments of Surgery and Biomedical Sciences, Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Rm. 4009, Davis Research Bldg 8700 Beverly Blvd, Los Angeles, CA 90048 USA
| | - Michael R Freeman
- Division of Cancer Biology and Therapeutics, Departments of Surgery and Biomedical Sciences, Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Rm. 4009, Davis Research Bldg 8700 Beverly Blvd, Los Angeles, CA 90048 USA
| | - Wei Yang
- Division of Cancer Biology and Therapeutics, Departments of Surgery and Biomedical Sciences, Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Rm. 4009, Davis Research Bldg 8700 Beverly Blvd, Los Angeles, CA 90048 USA
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236
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Stryiński R, Mateos J, Pascual S, González ÁF, Gallardo JM, Łopieńska-Biernat E, Medina I, Carrera M. Proteome profiling of L3 and L4 Anisakis simplex development stages by TMT-based quantitative proteomics. J Proteomics 2019; 201:1-11. [PMID: 30978463 DOI: 10.1016/j.jprot.2019.04.006] [Citation(s) in RCA: 33] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2018] [Revised: 03/25/2019] [Accepted: 04/07/2019] [Indexed: 11/24/2022]
Abstract
Anisakis simplex is a parasitic nematode that can cause anisakiosis and/or allergic reactions in humans. The presence of invasive third-stage larvae (L3) in many different consumed fish species and the fourth-stage larvae (L4) in marine mammals, where L3 can accidentally affect to humans and develop as far as stage L4. World Health Organization and food safety authorities aim to control and prevent this emerging health problem. In the present work, using Tandem Mass Tag (TMT)-based quantitative proteomics we analyzed for the first time the global proteome of two A. simplex development stages, L3 and L4. The strategy was divided into four steps: (a) protein extraction of L3 and L4 development stages, (b) high intensity focused ultrasound (HIFU)-assisted trypsin digestion, (c) TMT-isobaric mass tag labeling following by high-pH reversed-phase fractionation, and (d) LC-MS/MS analysis in a LTQ-Orbitrap Elite mass spectrometer. A total of 2443 different proteins of A. simplex were identified. Analysis of the modulated proteins provided the specific proteomic signature of L3 (i.e. pseudocoelomic globin, endochitinase 1, paramyosin) and L4 (i.e. neprilysin-2, glutamate dehydrogenase, aminopeptidase N). To our knowledge, this is the most comprehensive dataset of proteins of A. simplex for two development stages (L3 and L4) identified to date. SIGNIFICANCE: A. simplex is a fish-borne parasite responsible for the human anisakiosis and allergic reactions around the world. The work describes for the first-time the comparison of the proteome of two A. simplex stages (L3 and L4). The strategy is based on four steps: (i) protein extraction, (ii) ultra-fast trypsin digestion under High-Intensity Focused Ultrasound (HIFU), (iii) TMT-isobaric mass tag labeling followed by high-pH reversed-phase fractionation and (iv) peptide analysis using a LTQ-Orbitrap Elite mass spectrometer. The workflow allows to select the most modulated proteins as proteomic signature of those specific development stages (L3 and L4) of A. simplex. Obtained stage-specific proteins, could be used as targets to control/eliminate this parasite and in future eradicate the anisakiosis disease.
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Affiliation(s)
- Robert Stryiński
- University of Warmia and Mazury, Faculty of Biology and Biotechnology, Department of Biochemistry, Olsztyn, Poland.
| | - Jesús Mateos
- Spanish National Research Council (CSIC), Marine Research Institute (IIM), Department of Food Technology, Vigo, Pontevedra, Spain
| | - Santiago Pascual
- Spanish National Research Council (CSIC), Marine Research Institute (IIM), Department of Food Technology, Vigo, Pontevedra, Spain
| | - Ángel F González
- Spanish National Research Council (CSIC), Marine Research Institute (IIM), Department of Food Technology, Vigo, Pontevedra, Spain
| | - José M Gallardo
- Spanish National Research Council (CSIC), Marine Research Institute (IIM), Department of Food Technology, Vigo, Pontevedra, Spain
| | - Elżbieta Łopieńska-Biernat
- University of Warmia and Mazury, Faculty of Biology and Biotechnology, Department of Biochemistry, Olsztyn, Poland
| | - Isabel Medina
- Spanish National Research Council (CSIC), Marine Research Institute (IIM), Department of Food Technology, Vigo, Pontevedra, Spain
| | - Mónica Carrera
- Spanish National Research Council (CSIC), Marine Research Institute (IIM), Department of Food Technology, Vigo, Pontevedra, Spain.
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237
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Krieger JR, Wybenga-Groot LE, Tong J, Bache N, Tsao MS, Moran MF. Evosep One Enables Robust Deep Proteome Coverage Using Tandem Mass Tags while Significantly Reducing Instrument Time. J Proteome Res 2019; 18:2346-2353. [DOI: 10.1021/acs.jproteome.9b00082] [Citation(s) in RCA: 35] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
Affiliation(s)
| | | | | | | | - Ming S. Tsao
- Princess Margaret Cancer Centre, University Health Network, 610 University Avenue, Toronto, ON, Canada M5G 2C1
- Department of Laboratory Medicine and Pathobiology, University of Toronto, 1 King’s College Circle, Toronto, ON, Canada M5S 1A8
- Department of Medical Biophysics, University of Toronto, 101 College Street, Toronto, ON, Canada M5G 1L7
| | - Michael F. Moran
- Department of Molecular Genetics, University of Toronto, 1 King’s College Circle, Toronto, ON, Canada M5S 1A8
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ACP Acylation Is an Acetyl-CoA-Dependent Modification Required for Electron Transport Chain Assembly. Mol Cell 2019; 71:567-580.e4. [PMID: 30118679 DOI: 10.1016/j.molcel.2018.06.039] [Citation(s) in RCA: 62] [Impact Index Per Article: 12.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2018] [Revised: 06/08/2018] [Accepted: 06/25/2018] [Indexed: 01/28/2023]
Abstract
The electron transport chain (ETC) is an important participant in cellular energy conversion, but its biogenesis presents the cell with numerous challenges. To address these complexities, the cell utilizes ETC assembly factors, which include the LYR protein family. Each member of this family interacts with the mitochondrial acyl carrier protein (ACP), the scaffold protein upon which the mitochondrial fatty acid synthesis (mtFAS) pathway builds fatty acyl chains from acetyl-CoA. We demonstrate that the acylated form of ACP is an acetyl-CoA-dependent allosteric activator of the LYR protein family used to stimulate ETC biogenesis. By tuning ETC assembly to the abundance of acetyl-CoA, which is the major fuel of the TCA cycle and ETC, this system could provide an elegant mechanism for coordinating the assembly of ETC complexes with one another and with substrate availability.
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239
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Liu CW, Chi L, Tu P, Xue J, Ru H, Lu K. Quantitative proteomics reveals systematic dysregulations of liver protein metabolism in sucralose-treated mice. J Proteomics 2019; 196:1-10. [DOI: 10.1016/j.jprot.2019.01.011] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2018] [Revised: 11/26/2018] [Accepted: 01/13/2019] [Indexed: 12/19/2022]
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240
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Murphy JP, Yu Q, Konda P, Paulo JA, Jedrychowski MP, Kowalewski DJ, Schuster H, Kim Y, Clements D, Jain A, Stevanovic S, Gygi SP, Mancias JD, Gujar S. Multiplexed Relative Quantitation with Isobaric Tagging Mass Spectrometry Reveals Class I Major Histocompatibility Complex Ligand Dynamics in Response to Doxorubicin. Anal Chem 2019; 91:5106-5115. [PMID: 30779550 DOI: 10.1021/acs.analchem.8b05616] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
MHC-I peptides are intracellular-cleaved peptides, usually 8-11 amino acids in length, which are presented on the cell surface and facilitate CD8+ T cell responses. Despite the appreciation of CD8+ T-cell antitumor immune responses toward improvement in patient outcomes, the MHC-I peptide ligands that facilitate the response are poorly described. Along these same lines, although many therapies have been recognized for their ability to reinvigorate antitumor CD8+ T-cell responses, whether these therapies alter the MHC-I peptide repertoire has not been fully assessed due to the lack of quantitative strategies. We develop a multiplexing platform for screening therapy-induced MHC-I ligands by employing tandem mass tags (TMTs). We applied this approach to measuring responses to doxorubicin, which is known to promote antitumor CD8+ T-cell responses during its therapeutic administration in cancer patients. Using both in vitro and in vivo systems, we show successful relative quantitation of MHC-I ligands using TMT-based multiplexing and demonstrate that doxorubicin induces MHC-I peptide ligands that are largely derived from mitotic progression and cell-cycle proteins. This high-throughput MHC-I ligand discovery approach may enable further explorations to understand how small molecules and other therapies alter MHC-I ligand presentation that may be harnessed for CD8+ T-cell-based immunotherapies.
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Affiliation(s)
- J Patrick Murphy
- Department of Pathology , Dalhousie University , Halifax , Nova Scotia B3H 4R2 , Canada
| | - Qijia Yu
- Division of Genomic Stability and DNA Repair, Department of Radiation Oncology , Dana-Farber Cancer Institute , Boston , Massachusetts 02215 , United States
| | - Prathyusha Konda
- Department of Microbiology and Immunology , Dalhousie University , Halifax , Nova Scotia B3H 4R2 , Canada
| | - Joao A Paulo
- Department of Cell Biology , Harvard Medical School , Boston , Massachusetts 02115 , United States
| | - Mark P Jedrychowski
- Division of Genomic Stability and DNA Repair, Department of Radiation Oncology , Dana-Farber Cancer Institute , Boston , Massachusetts 02215 , United States.,Department of Cell Biology , Harvard Medical School , Boston , Massachusetts 02115 , United States
| | - Daniel J Kowalewski
- Department of Immunology, Interfaculty Institute for Cell Biology , University of Tübingen , 72076 Tübingen , Germany.,Immatics Biotechnologies GmbH , 72076 Tübingen , Germany
| | - Heiko Schuster
- Department of Immunology, Interfaculty Institute for Cell Biology , University of Tübingen , 72076 Tübingen , Germany.,Immatics Biotechnologies GmbH , 72076 Tübingen , Germany
| | - Youra Kim
- Department of Pathology , Dalhousie University , Halifax , Nova Scotia B3H 4R2 , Canada
| | - Derek Clements
- Department of Pathology , Dalhousie University , Halifax , Nova Scotia B3H 4R2 , Canada
| | - Aditya Jain
- Division of Genomic Stability and DNA Repair, Department of Radiation Oncology , Dana-Farber Cancer Institute , Boston , Massachusetts 02215 , United States
| | - Stefan Stevanovic
- Department of Immunology, Interfaculty Institute for Cell Biology , University of Tübingen , 72076 Tübingen , Germany
| | - Steven P Gygi
- Department of Cell Biology , Harvard Medical School , Boston , Massachusetts 02115 , United States
| | - Joseph D Mancias
- Division of Genomic Stability and DNA Repair, Department of Radiation Oncology , Dana-Farber Cancer Institute , Boston , Massachusetts 02215 , United States
| | - Shashi Gujar
- Department of Pathology , Dalhousie University , Halifax , Nova Scotia B3H 4R2 , Canada.,Department of Microbiology and Immunology , Dalhousie University , Halifax , Nova Scotia B3H 4R2 , Canada.,Centre for Innovative and Collaborative Health Systems Research Quality and System Performance , IWK Health Centre , Halifax , Nova Scotia B3K 6R8 , Canada
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241
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Myers SA, Rhoads A, Cocco AR, Peckner R, Haber AL, Schweitzer LD, Krug K, Mani DR, Clauser KR, Rozenblatt-Rosen O, Hacohen N, Regev A, Carr SA. Streamlined Protocol for Deep Proteomic Profiling of FAC-sorted Cells and Its Application to Freshly Isolated Murine Immune Cells. Mol Cell Proteomics 2019; 18:995-1009. [PMID: 30792265 DOI: 10.1074/mcp.ra118.001259] [Citation(s) in RCA: 54] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2018] [Revised: 02/15/2019] [Indexed: 12/27/2022] Open
Abstract
Proteomic profiling describes the molecular landscape of proteins in cells immediately available to sense, transduce, and enact the appropriate responses to extracellular queues. Transcriptional profiling has proven invaluable to our understanding of cellular responses; however, insights may be lost as mounting evidence suggests transcript levels only moderately correlate with protein levels in steady state cells. Mass spectrometry-based quantitative proteomics is a well-suited and widely used analytical tool for studying global protein abundances. Typical proteomic workflows are often limited by the amount of sample input that is required for deep and quantitative proteome profiling. This is especially true if the cells of interest need to be purified by fluorescence-activated cell sorting (FACS) and one wants to avoid ex vivo culturing. To address this need, we developed an easy to implement, streamlined workflow that enables quantitative proteome profiling from roughly 2 μg of protein input per experimental condition. Utilizing a combination of facile cell collection from cell sorting, solid-state isobaric labeling and multiplexing of peptides, and small-scale fractionation, we profiled the proteomes of 12 freshly isolated, primary murine immune cell types. Analyzing half of the 3e5 cells collected per cell type, we quantified over 7000 proteins across 12 key immune cell populations directly from their resident tissues. We show that low input proteomics is precise, and the data generated accurately reflects many aspects of known immunology, while expanding the list of cell-type specific proteins across the cell types profiled. The low input proteomics methods we developed are readily adaptable and broadly applicable to any cell or sample types and should enable proteome profiling in systems previously unattainable.
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Affiliation(s)
- Samuel A Myers
- From the ‡The Broad Institute or MIT and Harvard, Cambridge, Massachusetts 02142;; §Klarman Cell Observatory, The Broad Institute of MIT and Harvard, Cambridge, Massachusetts 02142;.
| | - Andrew Rhoads
- ¶Division of Immunology, Department of Microbiology and Immunobiology, Harvard Medical School, and Evergrande Center for Immunologic Diseases, Harvard Medical School and Brigham and Women's Hospital, Boston, Massachusetts
| | - Alexandra R Cocco
- From the ‡The Broad Institute or MIT and Harvard, Cambridge, Massachusetts 02142
| | - Ryan Peckner
- From the ‡The Broad Institute or MIT and Harvard, Cambridge, Massachusetts 02142
| | - Adam L Haber
- From the ‡The Broad Institute or MIT and Harvard, Cambridge, Massachusetts 02142;; §Klarman Cell Observatory, The Broad Institute of MIT and Harvard, Cambridge, Massachusetts 02142
| | | | - Karsten Krug
- From the ‡The Broad Institute or MIT and Harvard, Cambridge, Massachusetts 02142
| | - D R Mani
- From the ‡The Broad Institute or MIT and Harvard, Cambridge, Massachusetts 02142
| | - Karl R Clauser
- From the ‡The Broad Institute or MIT and Harvard, Cambridge, Massachusetts 02142
| | - Orit Rozenblatt-Rosen
- From the ‡The Broad Institute or MIT and Harvard, Cambridge, Massachusetts 02142;; §Klarman Cell Observatory, The Broad Institute of MIT and Harvard, Cambridge, Massachusetts 02142
| | - Nir Hacohen
- From the ‡The Broad Institute or MIT and Harvard, Cambridge, Massachusetts 02142;; ‖Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts 02215;; **Center for Cancer Immunology, Massachusetts General Hospital, Boston, Massachusetts 02114
| | - Aviv Regev
- From the ‡The Broad Institute or MIT and Harvard, Cambridge, Massachusetts 02142;; §Klarman Cell Observatory, The Broad Institute of MIT and Harvard, Cambridge, Massachusetts 02142;; ‡‡Howard Hughes Medical Institute and Koch Institute for Integrative Cancer Research, Department of Biology, Massachusetts Institute of Technology, Cambridge, Massachusetts 02140
| | - Steven A Carr
- From the ‡The Broad Institute or MIT and Harvard, Cambridge, Massachusetts 02142;.
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242
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Neurohr GE, Terry RL, Lengefeld J, Bonney M, Brittingham GP, Moretto F, Miettinen TP, Vaites LP, Soares LM, Paulo JA, Harper JW, Buratowski S, Manalis S, van Werven FJ, Holt LJ, Amon A. Excessive Cell Growth Causes Cytoplasm Dilution And Contributes to Senescence. Cell 2019; 176:1083-1097.e18. [PMID: 30739799 PMCID: PMC6386581 DOI: 10.1016/j.cell.2019.01.018] [Citation(s) in RCA: 256] [Impact Index Per Article: 51.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2018] [Revised: 11/15/2018] [Accepted: 01/09/2019] [Indexed: 11/23/2022]
Abstract
Cell size varies greatly between cell types, yet within a specific cell type and growth condition, cell size is narrowly distributed. Why maintenance of a cell-type specific cell size is important remains poorly understood. Here we show that growing budding yeast and primary mammalian cells beyond a certain size impairs gene induction, cell-cycle progression, and cell signaling. These defects are due to the inability of large cells to scale nucleic acid and protein biosynthesis in accordance with cell volume increase, which effectively leads to cytoplasm dilution. We further show that loss of scaling beyond a certain critical size is due to DNA becoming limiting. Based on the observation that senescent cells are large and exhibit many of the phenotypes of large cells, we propose that the range of DNA:cytoplasm ratio that supports optimal cell function is limited and that ratios outside these bounds contribute to aging.
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Affiliation(s)
- Gabriel E Neurohr
- David H. Koch Institute for Integrative Cancer Research, Howard Hughes Medical Institute, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Rachel L Terry
- David H. Koch Institute for Integrative Cancer Research, Howard Hughes Medical Institute, Massachusetts Institute of Technology, Cambridge, MA 02139, USA; Department of Biology, Massachusetts Institute of Technology, Cambridge, MA 02139, USA; Department of Systems Biology, Harvard Medical School, Boston, Massachusetts 02115, USA
| | - Jette Lengefeld
- David H. Koch Institute for Integrative Cancer Research, Howard Hughes Medical Institute, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Megan Bonney
- David H. Koch Institute for Integrative Cancer Research, Howard Hughes Medical Institute, Massachusetts Institute of Technology, Cambridge, MA 02139, USA; Department of Biology, Massachusetts Institute of Technology, Cambridge, MA 02139, USA; Novartis Institute for Biomedical Research, Oncology Department, Cambridge, MA 02139
| | - Gregory P Brittingham
- Institute for Systems Genetics, New York University Langone Health, New York, NY 10016, USA
| | - Fabien Moretto
- Cell Fate and Gene Regulation Laboratory, The Francis Crick Institute, 1 Midland Road, NW1 1AT London, UK
| | - Teemu P Miettinen
- David H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA 02139, USA; MRC Laboratory for Molecular Cell Biology, University College London, Gower Street, London, WC1E 6BT, UK
| | | | - Luis M Soares
- Department of Biological Chemistry and Molecular Pharmacology, Harvard Medical School, Boston, MA 02115, USA
| | - Joao A Paulo
- Department of Cell Biology, Harvard Medical School, Boston, MA 02115, USA
| | - J Wade Harper
- Department of Cell Biology, Harvard Medical School, Boston, MA 02115, USA
| | - Stephen Buratowski
- Department of Biological Chemistry and Molecular Pharmacology, Harvard Medical School, Boston, MA 02115, USA
| | - Scott Manalis
- David H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA 02139, USA; Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA; Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Folkert J van Werven
- Cell Fate and Gene Regulation Laboratory, The Francis Crick Institute, 1 Midland Road, NW1 1AT London, UK
| | - Liam J Holt
- Institute for Systems Genetics, New York University Langone Health, New York, NY 10016, USA
| | - Angelika Amon
- David H. Koch Institute for Integrative Cancer Research, Howard Hughes Medical Institute, Massachusetts Institute of Technology, Cambridge, MA 02139, USA; Department of Biology, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
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243
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Bąchor R, Waliczek M, Stefanowicz P, Szewczuk Z. Trends in the Design of New Isobaric Labeling Reagents for Quantitative Proteomics. Molecules 2019; 24:molecules24040701. [PMID: 30781343 PMCID: PMC6412310 DOI: 10.3390/molecules24040701] [Citation(s) in RCA: 45] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2018] [Revised: 02/12/2019] [Accepted: 02/13/2019] [Indexed: 12/23/2022] Open
Abstract
Modern mass spectrometry is one of the most frequently used methods of quantitative proteomics, enabling determination of the amount of peptides in a sample. Although mass spectrometry is not inherently a quantitative method due to differences in the ionization efficiency of various analytes, the application of isotope-coded labeling allows relative quantification of proteins and proteins. Over the past decade, a new method for derivatization of tryptic peptides using isobaric labels has been proposed. The labels consist of reporter and balanced groups. They have the same molecular weights and chemical properties, but differ in the distribution of stable heavy isotopes. These tags are designed in such a way that during high energy collision induced dissociation (CID) by tandem mass spectrometry, the isobaric tag is fragmented in the specific linker region, yielding reporter ions with different masses. The mass shifts among the reporter groups are compensated by the balancing groups so that the overall mass is the same for all forms of the reagent. Samples of peptides are labeled with the isobaric mass tags in parallel and combined for analysis. Quantification of individual peptides is achieved by comparing the intensity of reporter ions in the tandem mass (MS/MS) spectra. Isobaric markers have found a wide range of potential applications in proteomics. However, the currently available isobaric labeling reagents have some drawbacks, such as high cost of production, insufficient selectivity of the derivatization, and relatively limited enhancement of sensitivity of the analysis. Therefore, efforts have been devoted to the development of new isobaric markers with increased usability. The search for new isobaric markers is focused on developing a more selective method of introducing a tag into a peptide molecule, increasing the multiplexicity of markers, lowering the cost of synthesis, and increasing the sensitivity of measurement by using ionization tags containing quaternary ammonium salts. Here, the trends in the design of new isobaric labeling reagents for quantitative proteomics isobaric derivatization strategies in proteomics are reviewed, with a particular emphasis on isobaric ionization tags. The presented review focused on different types of isobaric reagents used in quantitative proteomics, their chemistry, and advantages offer by their application.
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Affiliation(s)
- Remigiusz Bąchor
- Faculty of Chemistry, University of Wrocław, F. Joliot-Curie 14, 50-383 Wrocław, Poland.
| | - Mateusz Waliczek
- Faculty of Chemistry, University of Wrocław, F. Joliot-Curie 14, 50-383 Wrocław, Poland.
| | - Piotr Stefanowicz
- Faculty of Chemistry, University of Wrocław, F. Joliot-Curie 14, 50-383 Wrocław, Poland.
| | - Zbigniew Szewczuk
- Faculty of Chemistry, University of Wrocław, F. Joliot-Curie 14, 50-383 Wrocław, Poland.
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244
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Furuyama K, Chera S, van Gurp L, Oropeza D, Ghila L, Damond N, Vethe H, Paulo JA, Joosten AM, Berney T, Bosco D, Dorrell C, Grompe M, Ræder H, Roep BO, Thorel F, Herrera PL. Diabetes relief in mice by glucose-sensing insulin-secreting human α-cells. Nature 2019; 567:43-48. [PMID: 30760930 PMCID: PMC6624841 DOI: 10.1038/s41586-019-0942-8] [Citation(s) in RCA: 151] [Impact Index Per Article: 30.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2016] [Accepted: 01/14/2019] [Indexed: 12/13/2022]
Abstract
Cell identity switches, where terminally-differentiated cells convert into different cell-types when stressed, represent a widespread regenerative strategy in animals, yet they are poorly documented in mammals. In mice, some glucagon-producing pancreatic α-cells and somatostatin-producing δ-cells become insulin expressers upon ablation of insulin-secreting β-cells, promoting diabetes recovery. Whether human islets also display this plasticity, especially in diabetic conditions, remains unknown. Here we show that islet non-β-cells, namely α-cells and PPY-producing γ–cells, obtained from deceased non-diabetic or diabetic human donors, can be lineage-traced and reprogrammed by the transcription factors Pdx1 and MafA to produce and secrete insulin in response to glucose. When transplanted into diabetic mice, converted human α-cells reverse diabetes and remain producing insulin even after 6 months. Surprisingly, insulin-producing α-cells maintain α-cell markers, as seen by deep transcriptomic and proteomic characterization. These observations provide conceptual evidence and a molecular framework for a mechanistic understanding of in situ cell plasticity as a treatment for diabetes and other degenerative diseases.
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Affiliation(s)
- Kenichiro Furuyama
- Department of Genetic Medicine and Development, iGE3 and Centre Facultaire du Diabète, Faculty of Medicine, University of Geneva, Geneva, Switzerland
| | - Simona Chera
- Department of Genetic Medicine and Development, iGE3 and Centre Facultaire du Diabète, Faculty of Medicine, University of Geneva, Geneva, Switzerland.,Department of Clinical Science, University of Bergen, Bergen, Norway
| | - Léon van Gurp
- Department of Genetic Medicine and Development, iGE3 and Centre Facultaire du Diabète, Faculty of Medicine, University of Geneva, Geneva, Switzerland
| | - Daniel Oropeza
- Department of Genetic Medicine and Development, iGE3 and Centre Facultaire du Diabète, Faculty of Medicine, University of Geneva, Geneva, Switzerland
| | - Luiza Ghila
- Department of Genetic Medicine and Development, iGE3 and Centre Facultaire du Diabète, Faculty of Medicine, University of Geneva, Geneva, Switzerland.,Department of Clinical Science, University of Bergen, Bergen, Norway
| | - Nicolas Damond
- Department of Genetic Medicine and Development, iGE3 and Centre Facultaire du Diabète, Faculty of Medicine, University of Geneva, Geneva, Switzerland
| | - Heidrun Vethe
- Department of Clinical Science, University of Bergen, Bergen, Norway
| | - Joao A Paulo
- Department of Cell Biology, Harvard Medical School, Boston, MA, USA
| | - Antoinette M Joosten
- Department of Immunohematology & Blood Transfusion, Leiden University Medical Center, Leiden, The Netherlands
| | - Thierry Berney
- Cell Isolation and Transplantation Center, Department of Surgery, Geneva University Hospitals, University of Geneva, Geneva, Switzerland
| | - Domenico Bosco
- Cell Isolation and Transplantation Center, Department of Surgery, Geneva University Hospitals, University of Geneva, Geneva, Switzerland
| | - Craig Dorrell
- Oregon Stem Cell Center, Oregon Health & Science University, Portland, OR, USA
| | - Markus Grompe
- Oregon Stem Cell Center, Oregon Health & Science University, Portland, OR, USA
| | - Helge Ræder
- Department of Clinical Science, University of Bergen, Bergen, Norway.,Department of Pediatrics, Haukeland University Hospital, Bergen, Norway
| | - Bart O Roep
- Department of Immunohematology & Blood Transfusion, Leiden University Medical Center, Leiden, The Netherlands.,Department of Diabetes Immunology, Diabetes & Metabolism Research Institute, City of Hope, Duarte, CA, USA
| | - Fabrizio Thorel
- Department of Genetic Medicine and Development, iGE3 and Centre Facultaire du Diabète, Faculty of Medicine, University of Geneva, Geneva, Switzerland
| | - Pedro L Herrera
- Department of Genetic Medicine and Development, iGE3 and Centre Facultaire du Diabète, Faculty of Medicine, University of Geneva, Geneva, Switzerland.
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245
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Geladaki A, Kočevar Britovšek N, Breckels LM, Smith TS, Vennard OL, Mulvey CM, Crook OM, Gatto L, Lilley KS. Combining LOPIT with differential ultracentrifugation for high-resolution spatial proteomics. Nat Commun 2019; 10:331. [PMID: 30659192 PMCID: PMC6338729 DOI: 10.1038/s41467-018-08191-w] [Citation(s) in RCA: 115] [Impact Index Per Article: 23.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2018] [Accepted: 12/18/2018] [Indexed: 01/09/2023] Open
Abstract
The study of protein localisation has greatly benefited from high-throughput methods utilising cellular fractionation and proteomic profiling. Hyperplexed Localisation of Organelle Proteins by Isotope Tagging (hyperLOPIT) is a well-established method in this area. It achieves high-resolution separation of organelles and subcellular compartments but is relatively time- and resource-intensive. As a simpler alternative, we here develop Localisation of Organelle Proteins by Isotope Tagging after Differential ultraCentrifugation (LOPIT-DC) and compare this method to the density gradient-based hyperLOPIT approach. We confirm that high-resolution maps can be obtained using differential centrifugation down to the suborganellar and protein complex level. HyperLOPIT and LOPIT-DC yield highly similar results, facilitating the identification of isoform-specific localisations and high-confidence localisation assignment for proteins in suborganellar structures, protein complexes and signalling pathways. By combining both approaches, we present a comprehensive high-resolution dataset of human protein localisations and deliver a flexible set of protocols for subcellular proteomics.
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Affiliation(s)
- Aikaterini Geladaki
- Cambridge Centre for Proteomics, Department of Biochemistry, University of Cambridge, 80 Tennis Court Road, Cambridge, CB2 1GA, UK
- Department of Genetics, University of Cambridge, 20 Downing Place, Cambridge, CB2 3EJ, UK
| | - Nina Kočevar Britovšek
- Cambridge Centre for Proteomics, Department of Biochemistry, University of Cambridge, 80 Tennis Court Road, Cambridge, CB2 1GA, UK
| | - Lisa M Breckels
- Cambridge Centre for Proteomics, Department of Biochemistry, University of Cambridge, 80 Tennis Court Road, Cambridge, CB2 1GA, UK
| | - Tom S Smith
- Cambridge Centre for Proteomics, Department of Biochemistry, University of Cambridge, 80 Tennis Court Road, Cambridge, CB2 1GA, UK
| | - Owen L Vennard
- Cambridge Centre for Proteomics, Department of Biochemistry, University of Cambridge, 80 Tennis Court Road, Cambridge, CB2 1GA, UK
| | - Claire M Mulvey
- Cambridge Centre for Proteomics, Department of Biochemistry, University of Cambridge, 80 Tennis Court Road, Cambridge, CB2 1GA, UK
| | - Oliver M Crook
- Cambridge Centre for Proteomics, Department of Biochemistry, University of Cambridge, 80 Tennis Court Road, Cambridge, CB2 1GA, UK
- MRC Biostatistics Unit, Cambridge Institute for Public Health, Forvie Site, Robinson Way, Cambridge, CB2 0SR, UK
| | - Laurent Gatto
- Cambridge Centre for Proteomics, Department of Biochemistry, University of Cambridge, 80 Tennis Court Road, Cambridge, CB2 1GA, UK
- de Duve Institute, UC Louvain, Avenue Hippocrate 75, Brussels, 1200, Belgium
| | - Kathryn S Lilley
- Cambridge Centre for Proteomics, Department of Biochemistry, University of Cambridge, 80 Tennis Court Road, Cambridge, CB2 1GA, UK.
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246
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Affiliation(s)
- Albert B. Arul
- Department of Chemistry, Vanderbilt University, Nashville, Tennessee 37235, United States
| | - Renã A. S. Robinson
- Department of Chemistry, Vanderbilt University, Nashville, Tennessee 37235, United States
- Vanderbilt Memory & Alzheimer’s Center, Vanderbilt University Medical Center, Nashville, Tennessee 37212, United States
- Vanderbilt Brain Institute, Vanderbilt University Medical Center, Nashville, Tennessee 37232, United States
- Vanderbilt Institute of Chemical Biology, Vanderbilt University Medical Center, Nashville, Tennessee 37235, United States
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247
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Wu X, Xing X, Dowlut D, Zeng Y, Liu J, Liu X. Integrating phosphoproteomics into kinase-targeted cancer therapies in precision medicine. J Proteomics 2019; 191:68-79. [DOI: 10.1016/j.jprot.2018.03.033] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2017] [Revised: 03/20/2018] [Accepted: 03/31/2018] [Indexed: 12/12/2022]
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248
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Nightingale DJH, Oliver SG, Lilley KS. Mapping the Saccharomyces cerevisiae Spatial Proteome with High Resolution Using hyperLOPIT. Methods Mol Biol 2019; 2049:165-190. [PMID: 31602611 DOI: 10.1007/978-1-4939-9736-7_10] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
The subcellular localization of proteins is a posttranslational modification of paramount importance. The ability to study subcellular and organelle proteomes improves our understanding of cellular homeostasis and cellular dynamics. In this chapter, we describe a protocol for the unbiased and high-throughput study of protein subcellular localization in the yeast Saccharomyces cerevisiae: hyperplexed localization of organelle proteins by isotope tagging (hyperLOPIT), which involves biochemical fractionation of Saccharomyces cerevisiae and high resolution mass spectrometry-based protein quantitation using TMT 10-plex isobaric tags. This protocol enables the determination of the subcellular localizations of thousands of proteins in parallel in a single experiment and thereby deep sampling and high-resolution mapping of the spatial proteome.
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Affiliation(s)
- Daniel J H Nightingale
- Cambridge Centre for Proteomics, Department of Biochemistry, University of Cambridge, Cambridge, UK
- Cambridge Systems Biology Centre, Department of Biochemistry, University of Cambridge, Cambridge, UK
| | - Stephen G Oliver
- Cambridge Systems Biology Centre, Department of Biochemistry, University of Cambridge, Cambridge, UK
| | - Kathryn S Lilley
- Cambridge Centre for Proteomics, Department of Biochemistry, University of Cambridge, Cambridge, UK.
- Cambridge Systems Biology Centre, Department of Biochemistry, University of Cambridge, Cambridge, UK.
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249
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Smith BJ, Martins-de-Souza D, Fioramonte M. A Guide to Mass Spectrometry-Based Quantitative Proteomics. Methods Mol Biol 2019; 1916:3-39. [PMID: 30535679 DOI: 10.1007/978-1-4939-8994-2_1] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/09/2023]
Abstract
Proteomics has become an attractive science in the postgenomic era, given its capacity to identify up to thousands of molecules in a single, complex sample and quantify them in an absolute and/or relative manner. The use of these techniques enables understanding of cellular and molecular mechanisms of diseases and other biological conditions, as well as identification and screening of protein biomarkers. Here we provide a straightforward, up-to-date compilation and comparison of the main quantitation techniques used in comparative proteomics such as in vitro and in vivo stable isotope labeling and label-free techniques. Additionally, this chapter includes common methods for data acquisition in proteomics and some appropriate methods for data processing. This compilation can serve as a reference for scientists who are new to, or already familiar with, quantitative proteomics.
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Affiliation(s)
- Bradley J Smith
- Laboratory of Neuroproteomics, Department of Biochemistry and Tissue Biology, Institute of Biology, University of Campinas (UNICAMP), Campinas, Brazil
| | - Daniel Martins-de-Souza
- Laboratory of Neuroproteomics, Department of Biochemistry and Tissue Biology, Institute of Biology, University of Campinas (UNICAMP), Campinas, Brazil
- Center for Neurobiology, University of Campinas (UNICAMP), Campinas, Brazil
- Instituto Nacional de Biomarcadores em Neuropsiquiatria (INBION), Conselho Nacional de Desenvolvimento Cientifico e Tecnologico, Sao Paulo, Brazil
| | - Mariana Fioramonte
- Laboratory of Neuroproteomics, Department of Biochemistry and Tissue Biology, Institute of Biology, University of Campinas (UNICAMP), Campinas, Brazil.
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Vethe H, Ghila L, Berle M, Hoareau L, Haaland ØA, Scholz H, Paulo JA, Chera S, Ræder H. The Effect of Wnt Pathway Modulators on Human iPSC-Derived Pancreatic Beta Cell Maturation. Front Endocrinol (Lausanne) 2019; 10:293. [PMID: 31139151 PMCID: PMC6518024 DOI: 10.3389/fendo.2019.00293] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/24/2018] [Accepted: 04/24/2019] [Indexed: 12/14/2022] Open
Abstract
Current published protocols for targeted differentiation of human stem cells toward pancreatic β-cells fail to deliver sufficiently mature cells with functional properties comparable to human islet β-cells. We aimed to assess whether Wnt-modulation could promote the final protocol stages of β-cell maturation, building our hypothesis on our previous findings of Wnt activation in immature hiPSC-derived stage 7 (S7) cells compared to adult human islets and with recent data reporting a link between Wnt/PCP and in vitro β-cell maturation. In this study, we stimulated canonical and non-canonical Wnt signaling in hiPSC-derived S7 cells using syntetic proteins including WNT3A, WNT4, WNT5A and WNT5B, and we inhibited endogenous Wnt signaling with the Tankyrase inhibitor G007-LK (TKi). Whereas neither canonical nor non-canonical Wnt stimulation alone was able to mature hiPSC-derived S7 cells, WNT-inhibition with TKi increased the fraction of monohormonal cells and global proteomics of TKi-treated S7 cells showed a proteomic signature more similar to adult human islets, suggesting that inhibition of endogenous Wnt contributes toward final β-cell maturation.
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Affiliation(s)
- Heidrun Vethe
- Department of Clinical Science, KG Jebsen Center for Diabetes Research, University of Bergen, Bergen, Norway
| | - Luiza Ghila
- Department of Clinical Science, KG Jebsen Center for Diabetes Research, University of Bergen, Bergen, Norway
| | - Magnus Berle
- Department of Surgery, Haukeland University Hospital, Bergen, Norway
- Department of Clinical Medicine, University of Bergen, Bergen, Norway
| | - Laurence Hoareau
- Department of Clinical Science, KG Jebsen Center for Diabetes Research, University of Bergen, Bergen, Norway
| | - Øystein A. Haaland
- Department of Global Public Health and Primary Care, University of Bergen, Bergen, Norway
| | - Hanne Scholz
- Department of Transplant Medicine, Oslo University Hospital, Oslo, Norway
- Institute of Basic Medical Sciences, University of Oslo, Oslo, Norway
| | - Joao A. Paulo
- Department of Cell Biology, Harvard Medical School, Boston, MA, United States
| | - Simona Chera
- Department of Clinical Science, KG Jebsen Center for Diabetes Research, University of Bergen, Bergen, Norway
| | - Helge Ræder
- Department of Clinical Science, KG Jebsen Center for Diabetes Research, University of Bergen, Bergen, Norway
- Department of Pediatrics, Haukeland University Hospital, Bergen, Norway
- *Correspondence: Helge Ræder
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