1
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Ryu J, Boylan KLM, Twigg CAI, Evans R, Skubitz APN, Thomas SN. Quantification of putative ovarian cancer serum protein biomarkers using a multiplexed targeted mass spectrometry assay. Clin Proteomics 2024; 21:1. [PMID: 38172678 PMCID: PMC10762856 DOI: 10.1186/s12014-023-09447-4] [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: 08/04/2023] [Accepted: 12/07/2023] [Indexed: 01/05/2024] Open
Abstract
BACKGROUND Ovarian cancer is the most lethal gynecologic malignancy in women, and high-grade serous ovarian cancer (HGSOC) is the most common subtype. Currently, no clinical test has been approved by the FDA to screen the general population for ovarian cancer. This underscores the critical need for the development of a robust methodology combined with novel technology to detect diagnostic biomarkers for HGSOC in the sera of women. Targeted mass spectrometry (MS) can be used to identify and quantify specific peptides/proteins in complex biological samples with high accuracy, sensitivity, and reproducibility. In this study, we sought to develop and conduct analytical validation of a multiplexed Tier 2 targeted MS parallel reaction monitoring (PRM) assay for the relative quantification of 23 putative ovarian cancer protein biomarkers in sera. METHODS To develop a PRM method for our target peptides in sera, we followed nationally recognized consensus guidelines for validating fit-for-purpose Tier 2 targeted MS assays. The endogenous target peptide concentrations were calculated using the calibration curves in serum for each target peptide. Receiver operating characteristic (ROC) curves were analyzed to evaluate the diagnostic performance of the biomarker candidates. RESULTS We describe an effort to develop and analytically validate a multiplexed Tier 2 targeted PRM MS assay to quantify candidate ovarian cancer protein biomarkers in sera. Among the 64 peptides corresponding to 23 proteins in our PRM assay, 24 peptides corresponding to 16 proteins passed the assay validation acceptability criteria. A total of 6 of these peptides from insulin-like growth factor-binding protein 2 (IBP2), sex hormone-binding globulin (SHBG), and TIMP metalloproteinase inhibitor 1 (TIMP1) were quantified in sera from a cohort of 69 patients with early-stage HGSOC, late-stage HGSOC, benign ovarian conditions, and healthy (non-cancer) controls. Confirming the results from previously published studies using orthogonal analytical approaches, IBP2 was identified as a diagnostic biomarker candidate based on its significantly increased abundance in the late-stage HGSOC patient sera compared to the healthy controls and patients with benign ovarian conditions. CONCLUSIONS A multiplexed targeted PRM MS assay was applied to detect candidate diagnostic biomarkers in HGSOC sera. To evaluate the clinical utility of the IBP2 PRM assay for HGSOC detection, further studies need to be performed using a larger patient cohort.
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Affiliation(s)
- Joohyun Ryu
- Department of Laboratory Medicine and Pathology, University of Minnesota School of Medicine, Minneapolis, MN, USA
| | - Kristin L M Boylan
- Department of Laboratory Medicine and Pathology, University of Minnesota School of Medicine, Minneapolis, MN, USA
| | - Carly A I Twigg
- Department of Laboratory Medicine and Pathology, University of Minnesota School of Medicine, Minneapolis, MN, USA
| | - Richard Evans
- Clinical and Translational Research Institute, University of Minnesota, Minneapolis, MN, USA
| | - Amy P N Skubitz
- Department of Laboratory Medicine and Pathology, University of Minnesota School of Medicine, Minneapolis, MN, USA
| | - Stefani N Thomas
- Department of Laboratory Medicine and Pathology, University of Minnesota School of Medicine, Minneapolis, MN, USA.
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2
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Michaud SA, Pětrošová H, Sinclair NJ, Kinnear AL, Jackson AM, McGuire JC, Hardie DB, Bhowmick P, Ganguly M, Flenniken AM, Nutter LMJ, McKerlie C, Smith D, Mohammed Y, Schibli D, Sickmann A, Borchers CH. Multiple reaction monitoring assays for large-scale quantitation of proteins from 20 mouse organs and tissues. Commun Biol 2024; 7:6. [PMID: 38168632 PMCID: PMC10762018 DOI: 10.1038/s42003-023-05687-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2020] [Accepted: 12/07/2023] [Indexed: 01/05/2024] Open
Abstract
Mouse is the mammalian model of choice to study human health and disease due to its size, ease of breeding and the natural occurrence of conditions mimicking human pathology. Here we design and validate multiple reaction monitoring mass spectrometry (MRM-MS) assays for quantitation of 2118 unique proteins in 20 murine tissues and organs. We provide open access to technical aspects of these assays to enable their implementation in other laboratories, and demonstrate their suitability for proteomic profiling in mice by measuring normal protein abundances in tissues from three mouse strains: C57BL/6NCrl, NOD/SCID, and BALB/cAnNCrl. Sex- and strain-specific differences in protein abundances are identified and described, and the measured values are freely accessible via our MouseQuaPro database: http://mousequapro.proteincentre.com . Together, this large library of quantitative MRM-MS assays established in mice and the measured baseline protein abundances represent an important resource for research involving mouse models.
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Affiliation(s)
- Sarah A Michaud
- University of Victoria-Genome British Columbia Proteomics Centre, Victoria, BC, Canada.
| | - Helena Pětrošová
- University of Victoria-Genome British Columbia Proteomics Centre, Victoria, BC, Canada
| | - Nicholas J Sinclair
- University of Victoria-Genome British Columbia Proteomics Centre, Victoria, BC, Canada
| | - Andrea L Kinnear
- University of Victoria-Genome British Columbia Proteomics Centre, Victoria, BC, Canada
| | - Angela M Jackson
- University of Victoria-Genome British Columbia Proteomics Centre, Victoria, BC, Canada
| | - Jamie C McGuire
- University of Victoria-Genome British Columbia Proteomics Centre, Victoria, BC, Canada
| | - Darryl B Hardie
- University of Victoria-Genome British Columbia Proteomics Centre, Victoria, BC, Canada
| | - Pallab Bhowmick
- University of Victoria-Genome British Columbia Proteomics Centre, Victoria, BC, Canada
| | - Milan Ganguly
- The Center for Phenogenomics, Toronto, ON, Canada
- The Hospital for Sick Children, Toronto, ON, Canada
| | - Ann M Flenniken
- The Center for Phenogenomics, Toronto, ON, Canada
- Sinai Health Lunenfeld-Tanenbaum Research Institute, Toronto, ON, Canada
| | - Lauryl M J Nutter
- The Center for Phenogenomics, Toronto, ON, Canada
- The Hospital for Sick Children, Toronto, ON, Canada
| | | | - Derek Smith
- University of Victoria-Genome British Columbia Proteomics Centre, Victoria, BC, Canada
| | - Yassene Mohammed
- Center for Proteomics and Metabolomics, Leiden University Medical Center, Leiden, the Netherlands
- Leibniz-Institut für Analytische Wissenschaften-ISAS-e.V, Dortmund, 44139, Germany
- Segal Cancer Proteomics Centre, Lady Davis Institute, Jewish General Hospital, McGill University, Montreal, QC, Canada
| | - David Schibli
- University of Victoria-Genome British Columbia Proteomics Centre, Victoria, BC, Canada
| | - Albert Sickmann
- Leibniz-Institut für Analytische Wissenschaften-ISAS-e.V, Dortmund, 44139, Germany
| | - Christoph H Borchers
- Segal Cancer Proteomics Centre, Lady Davis Institute, Jewish General Hospital, McGill University, Montreal, QC, Canada.
- Gerald Bronfman Department of Oncology, Jewish General Hospital, Montreal, QC, Canada.
- Department of Experimental Medicine, McGill University, Montreal, QC, Canada.
- Department of Pathology, McGill University, Montreal, QC, Canada.
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3
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Macur K, Schissel A, Yu F, Lei S, Morsey B, Fox HS, Ciborowski P. Change of histone H3 lysine 14 acetylation stoichiometry in human monocyte derived macrophages as determined by MS-based absolute targeted quantitative proteomic approach: HIV infection and methamphetamine exposure. Clin Proteomics 2023; 20:48. [PMID: 37880620 PMCID: PMC10599040 DOI: 10.1186/s12014-023-09438-5] [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: 07/25/2023] [Accepted: 10/13/2023] [Indexed: 10/27/2023] Open
Abstract
BACKGROUND Histones posttranslational modification represent an epigenetic mechanism that regulate gene expression and other cellular processes. Quantitative mass spectrometry used for the absolute quantification of such modifications provides further insight into cellular responses to extracellular insults such as infections or toxins. Methamphetamine (Meth), a drug of abuse, is affecting the overall function of the immune system. In this report, we developed, validated and applied a targeted, MS-based quantification assay to measure changes in histone H3 lysine 14 acetylation (H3K14Ac) during exposure of human primary macrophages to HIV-1 infection and/or Meth. METHODS The quantification assay was developed and validated to determine H3K14Ac stoichiometry in histones that were isolated from the nuclei of control (CIC) and exposed to Meth before (CIM) or/and after (MIM) HIV-infection human monocyte-derived macrophages (hMDM) of six donors. It was based on LC-MS/MS measurement using multiple reaction monitoring (MRM) acquisition of the unmodified and acetylated form of lysine K14 of histone H3 9KSTGGKAPR17 peptides and the corresponding stable isotope labeled (SIL) heavy peptide standards of the same sequences. The histone samples were propionylated (Poy) pre- and post- trypsin digestion so that the sequences of the monitored peptides were: K[Poy]STGGK[1Ac]APR, K[Poy]STGGK[1Ac]APR-heavy, K[Poy]STGGK[Poy]APR and K[Poy]STGGK[Poy]APR-heavy. The absolute amounts of the acetylated and unmodified peptides were determined by comparing to the abundances of their SIL standards, that were added to the samples in the known concentrations, and, then used for calculation of H3K14Ac stoichiometry in CIC, CIM and MIM hMDM. RESULTS The assay was characterized by LLOD of 0.106 fmol/µL and 0.204 fmol/µL for unmodified and acetylated H3 9KSTGGKAPR17 peptides, respectively. The LLOQ was 0.5 fmol/µL and the linear range of the assay was from 0.5 to 2500 fmol/µL. The absolute abundances of the quantified peptides varied between the donors and conditions, and so did the H3K14Ac stoichiometry. This was rather attributed to the samples nature itself, as the variability of their triplicate measurements was low. CONCLUSIONS The developed LC-MS/MS assay enabled absolute quantification of H3K14Ac in exposed to Meth HIV-infected hMDM. It can be further applied determination of this PTM stoichiometry in other studies on human primary macrophages.
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Affiliation(s)
- Katarzyna Macur
- Core Facility Laboratories, Intercollegiate Faculty of Biotechnology UG & MUG, University of Gdańsk, Gdańsk, Poland.
- Department of Pharmacology and Experimental Neuroscience, University of Nebraska Medical Center, Omaha, NE, USA.
| | - Andrew Schissel
- Department of Pharmacology and Experimental Neuroscience, University of Nebraska Medical Center, Omaha, NE, USA
| | - Fang Yu
- Department of Biostatistics, University of Nebraska Medical Center, Omaha, NE, USA
| | - Shulei Lei
- Department of Pharmacology and Experimental Neuroscience, University of Nebraska Medical Center, Omaha, NE, USA
| | - Brenda Morsey
- Department of Pharmacology and Experimental Neuroscience, University of Nebraska Medical Center, Omaha, NE, USA
- Department of Neurological Sciences, University of Nebraska Medical Center, Omaha, NE, USA
| | - Howard S Fox
- Department of Pharmacology and Experimental Neuroscience, University of Nebraska Medical Center, Omaha, NE, USA
- Department of Neurological Sciences, University of Nebraska Medical Center, Omaha, NE, USA
| | - Pawel Ciborowski
- Department of Pharmacology and Experimental Neuroscience, University of Nebraska Medical Center, Omaha, NE, USA.
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Whiteaker JR, Zhao L, Schoenherr RM, Huang D, Lundeen RA, Voytovich U, Kennedy JJ, Ivey RG, Lin C, Murillo OD, Lorentzen TD, Colantonio S, Caceres TW, Roberts RR, Knotts JG, Reading JJ, Perry CD, Richardson CW, Garcia-Buntley SS, Bocik W, Hewitt SM, Chowdhury S, Vandermeer J, Smith SD, Gopal AK, Ramchurren N, Fling SP, Wang P, Paulovich AG. A multiplexed assay for quantifying immunomodulatory proteins supports correlative studies in immunotherapy clinical trials. Front Oncol 2023; 13:1168710. [PMID: 37205196 PMCID: PMC10185886 DOI: 10.3389/fonc.2023.1168710] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2023] [Accepted: 04/10/2023] [Indexed: 05/21/2023] Open
Abstract
Introduction Immunotherapy is an effective treatment for a subset of cancer patients, and expanding the benefits of immunotherapy to all cancer patients will require predictive biomarkers of response and immune-related adverse events (irAEs). To support correlative studies in immunotherapy clinical trials, we are developing highly validated assays for quantifying immunomodulatory proteins in human biospecimens. Methods Here, we developed a panel of novel monoclonal antibodies and incorporated them into a novel, multiplexed, immuno-multiple reaction monitoring mass spectrometry (MRM-MS)-based proteomic assay targeting 49 proteotypic peptides representing 43 immunomodulatory proteins. Results and discussion The multiplex assay was validated in human tissue and plasma matrices, where the linearity of quantification was >3 orders of magnitude with median interday CVs of 8.7% (tissue) and 10.1% (plasma). Proof-of-principle demonstration of the assay was conducted in plasma samples collected in clinical trials from lymphoma patients receiving an immune checkpoint inhibitor. We provide the assays and novel monoclonal antibodies as a publicly available resource for the biomedical community.
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Affiliation(s)
- Jeffrey R. Whiteaker
- Clinical Research Division, Fred Hutchinson Cancer Center, Seattle, WA, United States
| | - Lei Zhao
- Clinical Research Division, Fred Hutchinson Cancer Center, Seattle, WA, United States
| | - Regine M. Schoenherr
- Clinical Research Division, Fred Hutchinson Cancer Center, Seattle, WA, United States
| | - Dongqing Huang
- Clinical Research Division, Fred Hutchinson Cancer Center, Seattle, WA, United States
| | - Rachel A. Lundeen
- Clinical Research Division, Fred Hutchinson Cancer Center, Seattle, WA, United States
| | - Ulianna Voytovich
- Clinical Research Division, Fred Hutchinson Cancer Center, Seattle, WA, United States
| | - Jacob J. Kennedy
- Clinical Research Division, Fred Hutchinson Cancer Center, Seattle, WA, United States
| | - Richard G. Ivey
- Clinical Research Division, Fred Hutchinson Cancer Center, Seattle, WA, United States
| | - Chenwei Lin
- Clinical Research Division, Fred Hutchinson Cancer Center, Seattle, WA, United States
| | - Oscar D. Murillo
- Clinical Research Division, Fred Hutchinson Cancer Center, Seattle, WA, United States
| | - Travis D. Lorentzen
- Clinical Research Division, Fred Hutchinson Cancer Center, Seattle, WA, United States
| | - Simona Colantonio
- Cancer Research Technology Program, Antibody Characterization Lab, Frederick National Laboratory for Cancer Research, Frederick, MD, United States
| | - Tessa W. Caceres
- Cancer Research Technology Program, Antibody Characterization Lab, Frederick National Laboratory for Cancer Research, Frederick, MD, United States
| | - Rhonda R. Roberts
- Cancer Research Technology Program, Antibody Characterization Lab, Frederick National Laboratory for Cancer Research, Frederick, MD, United States
| | - Joseph G. Knotts
- Cancer Research Technology Program, Antibody Characterization Lab, Frederick National Laboratory for Cancer Research, Frederick, MD, United States
| | - Joshua J. Reading
- Cancer Research Technology Program, Antibody Characterization Lab, Frederick National Laboratory for Cancer Research, Frederick, MD, United States
| | - Candice D. Perry
- Cancer Research Technology Program, Antibody Characterization Lab, Frederick National Laboratory for Cancer Research, Frederick, MD, United States
| | - Christopher W. Richardson
- Cancer Research Technology Program, Antibody Characterization Lab, Frederick National Laboratory for Cancer Research, Frederick, MD, United States
| | - Sandra S. Garcia-Buntley
- Cancer Research Technology Program, Antibody Characterization Lab, Frederick National Laboratory for Cancer Research, Frederick, MD, United States
| | - William Bocik
- Cancer Research Technology Program, Antibody Characterization Lab, Frederick National Laboratory for Cancer Research, Frederick, MD, United States
| | - Stephen M. Hewitt
- Experimental Pathology Laboratory, Laboratory of Pathology, Center for Cancer Research, National Cancer Institute, National Institute of Health, Bethesda, MD, United States
| | - Shrabanti Chowdhury
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Jackie Vandermeer
- Clinical Research Division, Fred Hutchinson Cancer Center, Seattle, WA, United States
- Division of Medical Oncology, Department of Internal Medicine, University of Washington, Seattle, WA, United States
| | - Stephen D. Smith
- Clinical Research Division, Fred Hutchinson Cancer Center, Seattle, WA, United States
- Division of Medical Oncology, Department of Internal Medicine, University of Washington, Seattle, WA, United States
| | - Ajay K. Gopal
- Clinical Research Division, Fred Hutchinson Cancer Center, Seattle, WA, United States
- Division of Medical Oncology, Department of Internal Medicine, University of Washington, Seattle, WA, United States
| | - Nirasha Ramchurren
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, WA, United States
| | - Steven P. Fling
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, WA, United States
| | - Pei Wang
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Amanda G. Paulovich
- Clinical Research Division, Fred Hutchinson Cancer Center, Seattle, WA, United States
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5
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Naba A. 10 years of extracellular matrix proteomics: Accomplishments, challenges, and future perspectives. Mol Cell Proteomics 2023; 22:100528. [PMID: 36918099 PMCID: PMC10152135 DOI: 10.1016/j.mcpro.2023.100528] [Citation(s) in RCA: 27] [Impact Index Per Article: 27.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2022] [Revised: 03/03/2023] [Accepted: 03/06/2023] [Indexed: 03/13/2023] Open
Abstract
The extracellular matrix (ECM) is a complex assembly of hundreds of proteins forming the architectural scaffold of multicellular organisms. In addition to its structural role, the ECM conveys signals orchestrating cellular phenotypes. Alterations of ECM composition, abundance, structure, or mechanics, have been linked to diseases and disorders affecting all physiological systems, including fibrosis and cancer. Deciphering the protein composition of the ECM and how it changes in pathophysiological contexts is thus the first step toward understanding the roles of the ECM in health and disease and toward the development of therapeutic strategies to correct disease-causing ECM alterations. Potentially, the ECM also represents a vast, yet untapped reservoir of disease biomarkers. ECM proteins are characterized by unique biochemical properties that have hindered their study: they are large, heavily and uniquely post-translationally modified, and highly insoluble. Overcoming these challenges, we and others have devised mass-spectrometry-based proteomic approaches to define the ECM composition, or "matrisome", of tissues. This review provides a historical overview of ECM proteomics research and presents the latest advances that now allow the profiling of the ECM of healthy and diseased tissues. The second part highlights recent examples illustrating how ECM proteomics has emerged as a powerful discovery pipeline to identify prognostic cancer biomarkers. The third part discusses remaining challenges limiting our ability to translate findings to clinical application and proposes approaches to overcome them. Last, the review introduces readers to resources available to facilitate the interpretation of ECM proteomics datasets. The ECM was once thought to be impenetrable. MS-based proteomics has proven to be a powerful tool to decode the ECM. In light of the progress made over the past decade, there are reasons to believe that the in-depth exploration of the matrisome is within reach and that we may soon witness the first translational application of ECM proteomics.
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Affiliation(s)
- Alexandra Naba
- Department of Physiology and Biophysics, University of Illinois at Chicago, Chicago, IL 60612, USA; University of Illinois Cancer Center, Chicago, IL 60612, USA.
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6
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Mohammed Y, Goodlett D, Borchers CH. Bioinformatics Tools and Knowledgebases to Assist Generating Targeted Assays for Plasma Proteomics. Methods Mol Biol 2023; 2628:557-577. [PMID: 36781806 DOI: 10.1007/978-1-0716-2978-9_32] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/15/2023]
Abstract
In targeted proteomics experiments, selecting the appropriate proteotypic peptides as surrogate for the target protein is a crucial pre-acquisition step. This step is largely a bioinformatics exercise that involves integrating information on the peptides and proteins and using various software tools and knowledgebases. We present here a few resources that automate and simplify the selection process to a great degree. These tools and knowledgebases were developed primarily to streamline targeted proteomics assay development and include PeptidePicker, PeptidePickerDB, MRMAssayDB, MouseQuaPro, and PeptideTracker. We have used these tools to develop and document thousands of targeted proteomics assays, many of them for plasma proteins with focus on human and mouse. An important aspect in all these resources is the integrative approach on which they are based. Using these tools in the first steps of designing a singleplexed or multiplexed targeted proteomic experiment can reduce the necessary experimental steps tremendously. All the tools and knowledgebases we describe here are Web-based and freely accessible so scientists can query the information conveniently from the browser. This chapter provides an overview of these software tools and knowledgebases, their content, and how to use them for targeted plasma proteomics. We further demonstrate how to use them with the results of the HUPO Human Plasma Proteome Project to produce a new database of 3.8 k targeted assays for known human plasma proteins. Upon experimental validation, these assays should help in the further quantitative characterizing of the plasma proteome.
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Affiliation(s)
- Yassene Mohammed
- Center for Proteomics and Metabolomics, Leiden University Medical Center, Leiden, ZA, Netherlands. .,University of Victoria - Genome BC Proteomics Centre, Victoria, BC, Canada. .,Department of Biochemistry and Microbiology, University of Victoria, Victoria, BC, Canada.
| | - David Goodlett
- University of Victoria - Genome BC Proteomics Centre, Victoria, BC, Canada.,Department of Biochemistry and Microbiology, University of Victoria, Victoria, BC, Canada.,University of Gdansk, International Centre for Cancer Vaccine Science, Gdansk, Poland
| | - Christoph H Borchers
- Proteomics Centre, Segal Cancer Centre, Lady Davis Institute, Jewish General Hospital, McGill University, Montreal, QC, Canada.,Gerald Bronfman Department of Oncology, Jewish General Hospital, Montreal, QC, Canada.,Division of Experimental Medicine, McGill University, Montreal, QC, Canada.,Department of Pathology, McGill University, Montreal, QC, Canada
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7
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Tarfeen N, Nisa KU, Ali S, Yatoo AM, Shah AM, Sabba A, Maqbool R, Ahmad MB. Utility of proteomics and phosphoproteomics in the tailored medication of cancer. Proteomics 2023. [DOI: 10.1016/b978-0-323-95072-5.00006-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/01/2023]
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8
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Shao X, Gomez CD, Kapoor N, Considine JM, Grams C, Gao Y(T, Naba A. MatrisomeDB 2.0: 2023 updates to the ECM-protein knowledge database. Nucleic Acids Res 2022; 51:D1519-D1530. [PMID: 36399478 PMCID: PMC9825471 DOI: 10.1093/nar/gkac1009] [Citation(s) in RCA: 39] [Impact Index Per Article: 19.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2022] [Revised: 10/12/2022] [Accepted: 10/25/2022] [Indexed: 11/19/2022] Open
Abstract
The extracellular matrix (ECM) is a complex assembly of proteins that constitutes the scaffold organizing cells, tissues, and organs. Over the past decade, mass-spectrometry-based proteomics has become the method of choice to profile the composition of the ECM, or the matrisome, of tissues. To assist non-specialists with the reuse of ECM proteomic datasets, we released MatrisomeDB (https://matrisomedb.org) in 2020. Here, we report the expansion of the database to include 25 new curated studies on the ECM of 24 new tissues in addition to datasets on tissues previously included, more than doubling the size of the original database and achieving near-complete coverage of the in-silico predicted matrisome. We further enhanced data visualization by maps of peptides and post-translational-modifications detected onto domain-based representations and 3D structures of ECM proteins. We also referenced external resources to facilitate the design of targeted mass spectrometry assays. Last, we implemented an abstract-mining tool that generates an enrichment word cloud from abstracts of studies in which a queried protein is found with higher confidence and higher abundance relative to other studies in MatrisomeDB.
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Affiliation(s)
- Xinhao Shao
- Department of Pharmaceutical Sciences, University of Illinois at Chicago, Chicago, IL 60612, USA
| | - Clarissa D Gomez
- Department of Physiology and Biophysics, University of Illinois at Chicago, Chicago, IL 60612, USA
| | - Nandini Kapoor
- Department of Physiology and Biophysics, University of Illinois at Chicago, Chicago, IL 60612, USA
| | - James M Considine
- Department of Physiology and Biophysics, University of Illinois at Chicago, Chicago, IL 60612, USA
| | - Christopher Grams
- Department of Pharmaceutical Sciences, University of Illinois at Chicago, Chicago, IL 60612, USA
| | - Yu (Tom) Gao
- Correspondence may also be addressed to Dr. Yu (Tom) Gao. Tel: +1 312 996 8087;
| | - Alexandra Naba
- To whom correspondence should be addressed. Tel: +1 312 355 5417;
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9
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Cifani P, Kentsis A. Quantitative Cell Proteomic Atlas: Pathway-Scale Targeted Mass Spectrometry for High-Resolution Functional Profiling of Cell Signaling. J Proteome Res 2022; 21:2535-2544. [PMID: 36154077 PMCID: PMC10494574 DOI: 10.1021/acs.jproteome.2c00223] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Abstract
In spite of extensive studies of cellular signaling, many fundamental processes such as pathway integration, cross-talk, and feedback remain poorly understood. To enable integrated and quantitative measurements of cellular biochemical activities, we have developed the Quantitative Cell Proteomics Atlas (QCPA). QCPA consists of panels of targeted mass spectrometry assays to determine the abundance and stoichiometry of regulatory post-translational modifications of sentinel proteins from most known physiologic and pathogenic signaling pathways in human cells. QCPA currently profiles 1 913 peptides from 469 effectors of cell surface signaling, apoptosis, stress response, gene expression, quiescence, and proliferation. For each protein, QCPA includes triplets of isotopically labeled peptides covering known post-translational regulatory sites to determine their stoichiometries and unmodified protein regions to measure total protein abundance. The QCPA framework incorporates analytes to control for technical variability of sample preparation and mass spectrometric analysis, including TrypQuant, a synthetic substrate for accurate quantification of proteolysis efficiency for proteins containing chemically modified residues. The ability to precisely and accurately quantify most known signaling pathways should enable improved chemoproteomic approaches for the comprehensive analysis of cell signaling and clinical proteomics of diagnostic specimens. QCPA is openly available at https://qcpa.mskcc.org.
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Affiliation(s)
- Paolo Cifani
- Molecular Pharmacology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, 10065 USA
| | - Alex Kentsis
- Molecular Pharmacology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, 10065 USA
- Tow Center for Developmental Oncology, Department of Pediatrics, Memorial Sloan Kettering Cancer Center, NY, 10065 USA
- Departments of Pediatrics, Pharmacology, and Physiology & Biophysics, Weill Medical College of Cornell University, NY, 10065 USA
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10
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Whiteaker JR, Lundeen RA, Zhao L, Schoenherr RM, Burian A, Huang D, Voytovich U, Wang T, Kennedy JJ, Ivey RG, Lin C, Murillo OD, Lorentzen TD, Thiagarajan M, Colantonio S, Caceres TW, Roberts RR, Knotts JG, Reading JJ, Kaczmarczyk JA, Richardson CW, Garcia-Buntley SS, Bocik W, Hewitt SM, Murray KE, Do N, Brophy M, Wilz SW, Yu H, Ajjarapu S, Boja E, Hiltke T, Rodriguez H, Paulovich AG. Targeted Mass Spectrometry Enables Multiplexed Quantification of Immunomodulatory Proteins in Clinical Biospecimens. Front Immunol 2021; 12:765898. [PMID: 34858420 PMCID: PMC8632241 DOI: 10.3389/fimmu.2021.765898] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2021] [Accepted: 10/22/2021] [Indexed: 12/11/2022] Open
Abstract
Immunotherapies are revolutionizing cancer care, producing durable responses and potentially cures in a subset of patients. However, response rates are low for most tumors, grade 3/4 toxicities are not uncommon, and our current understanding of tumor immunobiology is incomplete. While hundreds of immunomodulatory proteins in the tumor microenvironment shape the anti-tumor response, few of them can be reliably quantified. To address this need, we developed a multiplex panel of targeted proteomic assays targeting 52 peptides representing 46 proteins using peptide immunoaffinity enrichment coupled to multiple reaction monitoring-mass spectrometry. We validated the assays in tissue and plasma matrices, where performance figures of merit showed over 3 orders of dynamic range and median inter-day CVs of 5.2% (tissue) and 21% (plasma). A feasibility study in clinical biospecimens showed detection of 48/52 peptides in frozen tissue and 38/52 peptides in plasma. The assays are publicly available as a resource for the research community.
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Affiliation(s)
- Jeffrey R. Whiteaker
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA, United States
| | - Rachel A. Lundeen
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA, United States
| | - Lei Zhao
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA, United States
| | - Regine M. Schoenherr
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA, United States
| | - Aura Burian
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA, United States
| | - Dongqing Huang
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA, United States
| | - Ulianna Voytovich
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA, United States
| | - Tao Wang
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA, United States
| | - Jacob J. Kennedy
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA, United States
| | - Richard G. Ivey
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA, United States
| | - Chenwei Lin
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA, United States
| | - Oscar D. Murillo
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA, United States
| | - Travis D. Lorentzen
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA, United States
| | | | - Simona Colantonio
- Cancer Research Technology Program, Antibody Characterization Lab, Frederick National Laboratory for Cancer Research, Frederick, MD, United States
| | - Tessa W. Caceres
- Cancer Research Technology Program, Antibody Characterization Lab, Frederick National Laboratory for Cancer Research, Frederick, MD, United States
| | - Rhonda R. Roberts
- Cancer Research Technology Program, Antibody Characterization Lab, Frederick National Laboratory for Cancer Research, Frederick, MD, United States
| | - Joseph G. Knotts
- Cancer Research Technology Program, Antibody Characterization Lab, Frederick National Laboratory for Cancer Research, Frederick, MD, United States
| | - Joshua J. Reading
- Cancer Research Technology Program, Antibody Characterization Lab, Frederick National Laboratory for Cancer Research, Frederick, MD, United States
| | - Jan A. Kaczmarczyk
- Cancer Research Technology Program, Antibody Characterization Lab, Frederick National Laboratory for Cancer Research, Frederick, MD, United States
| | - Christopher W. Richardson
- Cancer Research Technology Program, Antibody Characterization Lab, Frederick National Laboratory for Cancer Research, Frederick, MD, United States
| | - Sandra S. Garcia-Buntley
- Cancer Research Technology Program, Antibody Characterization Lab, Frederick National Laboratory for Cancer Research, Frederick, MD, United States
| | - William Bocik
- Cancer Research Technology Program, Antibody Characterization Lab, Frederick National Laboratory for Cancer Research, Frederick, MD, United States
| | - Stephen M. Hewitt
- Experimental Pathology Laboratory, Laboratory of Pathology, Center for Cancer Research, National Cancer Institute, National Institute of Health, Bethesda, MD, United States
| | - Karen E. Murray
- Veteran’s Administration (VA) Cooperative Studies Program, Veteran’s Administration (VA) Boston Healthcare System (151MAV), Jamaica Plain, MA, United States
| | - Nhan Do
- Veteran’s Administration (VA) Cooperative Studies Program, Veteran’s Administration (VA) Boston Healthcare System (151MAV), Jamaica Plain, MA, United States
- Department of Medicine, Boston University School of Medicine, Boston, MA, United States
| | - Mary Brophy
- Veteran’s Administration (VA) Cooperative Studies Program, Veteran’s Administration (VA) Boston Healthcare System (151MAV), Jamaica Plain, MA, United States
- Department of Medicine, Boston University School of Medicine, Boston, MA, United States
| | - Stephen W. Wilz
- Department of Medicine, Boston University School of Medicine, Boston, MA, United States
- Pathology and Laboratory Medicine Service, Program, Veteran’s Administration (VA) Boston Healthcare System, Jamaica Plain, MA, United States
| | - Hongbo Yu
- Pathology and Laboratory Medicine Service, Program, Veteran’s Administration (VA) Boston Healthcare System, Jamaica Plain, MA, United States
- Department of Pathology, Harvard Medical School, Boston, MA, United States
| | - Samuel Ajjarapu
- Veteran’s Administration (VA) Cooperative Studies Program, Veteran’s Administration (VA) Boston Healthcare System (151MAV), Jamaica Plain, MA, United States
- Department of Medicine, Dana-Farber Cancer Institute, Boston, MA, United States
| | - Emily Boja
- Office of Cancer Clinical Proteomics Research, National Cancer Institute, Bethesda, MD, United States
| | - Tara Hiltke
- Office of Cancer Clinical Proteomics Research, National Cancer Institute, Bethesda, MD, United States
| | - Henry Rodriguez
- Office of Cancer Clinical Proteomics Research, National Cancer Institute, Bethesda, MD, United States
| | - Amanda G. Paulovich
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA, United States
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11
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Whiteaker JR, Wang T, Zhao L, Schoenherr RM, Kennedy JJ, Voytovich U, Ivey RG, Huang D, Lin C, Colantonio S, Caceres TW, Roberts RR, Knotts JG, Kaczmarczyk JA, Blonder J, Reading JJ, Richardson CW, Hewitt SM, Garcia-Buntley SS, Bocik W, Hiltke T, Rodriguez H, Harrington EA, Barrett JC, Lombardi B, Marco-Casanova P, Pierce AJ, Paulovich AG. Targeted Mass Spectrometry Enables Quantification of Novel Pharmacodynamic Biomarkers of ATM Kinase Inhibition. Cancers (Basel) 2021; 13:cancers13153843. [PMID: 34359745 PMCID: PMC8345163 DOI: 10.3390/cancers13153843] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2021] [Revised: 07/20/2021] [Accepted: 07/23/2021] [Indexed: 11/16/2022] Open
Abstract
The ATM serine/threonine kinase (HGNC: ATM) is involved in initiation of repair of DNA double-stranded breaks, and ATM inhibitors are currently being tested as anti-cancer agents in clinical trials, where pharmacodynamic (PD) assays are crucial to help guide dose and scheduling and support mechanism of action studies. To identify and quantify PD biomarkers of ATM inhibition, we developed and analytically validated a 51-plex assay (DDR-2) quantifying protein expression and DNA damage-responsive phosphorylation. The median lower limit of quantification was 1.28 fmol, the linear range was over 3 orders of magnitude, the median inter-assay variability was 11% CV, and 86% of peptides were stable for storage prior to analysis. Use of the assay was demonstrated to quantify signaling following ionizing radiation-induced DNA damage in both immortalized lymphoblast cell lines and primary human peripheral blood mononuclear cells, identifying PD biomarkers for ATM inhibition to support preclinical and clinical studies.
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Affiliation(s)
- Jeffrey R. Whiteaker
- Fred Hutchinson Cancer Research Center, Clinical Research Division, Seattle, WA 98109, USA; (J.R.W.); (T.W.); (L.Z.); (R.M.S.); (J.J.K.); (U.V.); (R.G.I.); (D.H.); (C.L.)
| | - Tao Wang
- Fred Hutchinson Cancer Research Center, Clinical Research Division, Seattle, WA 98109, USA; (J.R.W.); (T.W.); (L.Z.); (R.M.S.); (J.J.K.); (U.V.); (R.G.I.); (D.H.); (C.L.)
| | - Lei Zhao
- Fred Hutchinson Cancer Research Center, Clinical Research Division, Seattle, WA 98109, USA; (J.R.W.); (T.W.); (L.Z.); (R.M.S.); (J.J.K.); (U.V.); (R.G.I.); (D.H.); (C.L.)
| | - Regine M. Schoenherr
- Fred Hutchinson Cancer Research Center, Clinical Research Division, Seattle, WA 98109, USA; (J.R.W.); (T.W.); (L.Z.); (R.M.S.); (J.J.K.); (U.V.); (R.G.I.); (D.H.); (C.L.)
| | - Jacob J. Kennedy
- Fred Hutchinson Cancer Research Center, Clinical Research Division, Seattle, WA 98109, USA; (J.R.W.); (T.W.); (L.Z.); (R.M.S.); (J.J.K.); (U.V.); (R.G.I.); (D.H.); (C.L.)
| | - Ulianna Voytovich
- Fred Hutchinson Cancer Research Center, Clinical Research Division, Seattle, WA 98109, USA; (J.R.W.); (T.W.); (L.Z.); (R.M.S.); (J.J.K.); (U.V.); (R.G.I.); (D.H.); (C.L.)
| | - Richard G. Ivey
- Fred Hutchinson Cancer Research Center, Clinical Research Division, Seattle, WA 98109, USA; (J.R.W.); (T.W.); (L.Z.); (R.M.S.); (J.J.K.); (U.V.); (R.G.I.); (D.H.); (C.L.)
| | - Dongqing Huang
- Fred Hutchinson Cancer Research Center, Clinical Research Division, Seattle, WA 98109, USA; (J.R.W.); (T.W.); (L.Z.); (R.M.S.); (J.J.K.); (U.V.); (R.G.I.); (D.H.); (C.L.)
| | - Chenwei Lin
- Fred Hutchinson Cancer Research Center, Clinical Research Division, Seattle, WA 98109, USA; (J.R.W.); (T.W.); (L.Z.); (R.M.S.); (J.J.K.); (U.V.); (R.G.I.); (D.H.); (C.L.)
| | - Simona Colantonio
- Cancer Research Technology Program, Antibody Characterization Lab, Frederick National Laboratory for Cancer Research, Frederick, MD 21701, USA; (S.C.); (T.W.C.); (R.R.R.); (J.G.K.); (J.A.K.); (J.B.); (J.J.R.); (C.W.R.); (S.S.G.-B.); (W.B.)
| | - Tessa W. Caceres
- Cancer Research Technology Program, Antibody Characterization Lab, Frederick National Laboratory for Cancer Research, Frederick, MD 21701, USA; (S.C.); (T.W.C.); (R.R.R.); (J.G.K.); (J.A.K.); (J.B.); (J.J.R.); (C.W.R.); (S.S.G.-B.); (W.B.)
| | - Rhonda R. Roberts
- Cancer Research Technology Program, Antibody Characterization Lab, Frederick National Laboratory for Cancer Research, Frederick, MD 21701, USA; (S.C.); (T.W.C.); (R.R.R.); (J.G.K.); (J.A.K.); (J.B.); (J.J.R.); (C.W.R.); (S.S.G.-B.); (W.B.)
| | - Joseph G. Knotts
- Cancer Research Technology Program, Antibody Characterization Lab, Frederick National Laboratory for Cancer Research, Frederick, MD 21701, USA; (S.C.); (T.W.C.); (R.R.R.); (J.G.K.); (J.A.K.); (J.B.); (J.J.R.); (C.W.R.); (S.S.G.-B.); (W.B.)
| | - Jan A. Kaczmarczyk
- Cancer Research Technology Program, Antibody Characterization Lab, Frederick National Laboratory for Cancer Research, Frederick, MD 21701, USA; (S.C.); (T.W.C.); (R.R.R.); (J.G.K.); (J.A.K.); (J.B.); (J.J.R.); (C.W.R.); (S.S.G.-B.); (W.B.)
| | - Josip Blonder
- Cancer Research Technology Program, Antibody Characterization Lab, Frederick National Laboratory for Cancer Research, Frederick, MD 21701, USA; (S.C.); (T.W.C.); (R.R.R.); (J.G.K.); (J.A.K.); (J.B.); (J.J.R.); (C.W.R.); (S.S.G.-B.); (W.B.)
| | - Joshua J. Reading
- Cancer Research Technology Program, Antibody Characterization Lab, Frederick National Laboratory for Cancer Research, Frederick, MD 21701, USA; (S.C.); (T.W.C.); (R.R.R.); (J.G.K.); (J.A.K.); (J.B.); (J.J.R.); (C.W.R.); (S.S.G.-B.); (W.B.)
| | - Christopher W. Richardson
- Cancer Research Technology Program, Antibody Characterization Lab, Frederick National Laboratory for Cancer Research, Frederick, MD 21701, USA; (S.C.); (T.W.C.); (R.R.R.); (J.G.K.); (J.A.K.); (J.B.); (J.J.R.); (C.W.R.); (S.S.G.-B.); (W.B.)
| | - Stephen M. Hewitt
- Experimental Pathology Laboratory, Laboratory of Pathology, Center for Cancer Research, National Cancer Institute, National Institute of Health, Bethesda, MD 20892, USA;
| | - Sandra S. Garcia-Buntley
- Cancer Research Technology Program, Antibody Characterization Lab, Frederick National Laboratory for Cancer Research, Frederick, MD 21701, USA; (S.C.); (T.W.C.); (R.R.R.); (J.G.K.); (J.A.K.); (J.B.); (J.J.R.); (C.W.R.); (S.S.G.-B.); (W.B.)
| | - William Bocik
- Cancer Research Technology Program, Antibody Characterization Lab, Frederick National Laboratory for Cancer Research, Frederick, MD 21701, USA; (S.C.); (T.W.C.); (R.R.R.); (J.G.K.); (J.A.K.); (J.B.); (J.J.R.); (C.W.R.); (S.S.G.-B.); (W.B.)
| | - Tara Hiltke
- Office of Cancer Clinical Proteomics Research, National Cancer Institute, Bethesda, MD 20892, USA; (T.H.); (H.R.)
| | - Henry Rodriguez
- Office of Cancer Clinical Proteomics Research, National Cancer Institute, Bethesda, MD 20892, USA; (T.H.); (H.R.)
| | - Elizabeth A. Harrington
- Translational Sciences, Oncology, AstraZeneca, Cambridge CB4 0WG, UK; (E.A.H.); (J.C.B.); (B.L.); (P.M.-C.); (A.J.P.)
| | - J. Carl Barrett
- Translational Sciences, Oncology, AstraZeneca, Cambridge CB4 0WG, UK; (E.A.H.); (J.C.B.); (B.L.); (P.M.-C.); (A.J.P.)
| | - Benedetta Lombardi
- Translational Sciences, Oncology, AstraZeneca, Cambridge CB4 0WG, UK; (E.A.H.); (J.C.B.); (B.L.); (P.M.-C.); (A.J.P.)
| | - Paola Marco-Casanova
- Translational Sciences, Oncology, AstraZeneca, Cambridge CB4 0WG, UK; (E.A.H.); (J.C.B.); (B.L.); (P.M.-C.); (A.J.P.)
| | - Andrew J. Pierce
- Translational Sciences, Oncology, AstraZeneca, Cambridge CB4 0WG, UK; (E.A.H.); (J.C.B.); (B.L.); (P.M.-C.); (A.J.P.)
| | - Amanda G. Paulovich
- Fred Hutchinson Cancer Research Center, Clinical Research Division, Seattle, WA 98109, USA; (J.R.W.); (T.W.); (L.Z.); (R.M.S.); (J.J.K.); (U.V.); (R.G.I.); (D.H.); (C.L.)
- Correspondence: ; Tel.: +1-206-667-1912
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12
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Whiteaker JR, Sharma K, Hoffman MA, Kuhn E, Zhao L, Cocco AR, Schoenherr RM, Kennedy JJ, Voytovich U, Lin C, Fang B, Bowers K, Whiteley G, Colantonio S, Bocik W, Roberts R, Hiltke T, Boja E, Rodriguez H, McCormick F, Holderfield M, Carr SA, Koomen JM, Paulovich AG. Targeted mass spectrometry-based assays enable multiplex quantification of receptor tyrosine kinase, MAP Kinase, and AKT signaling. CELL REPORTS METHODS 2021; 1:100015. [PMID: 34671754 PMCID: PMC8525888 DOI: 10.1016/j.crmeth.2021.100015] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/03/2020] [Revised: 02/16/2021] [Accepted: 05/07/2021] [Indexed: 02/07/2023]
Abstract
SUMMARY A primary goal of the US National Cancer Institute's Ras initiative at the Frederick National Laboratory for Cancer Research is to develop methods to quantify RAS signaling to facilitate development of novel cancer therapeutics. We use targeted proteomics technologies to develop a community resource consisting of 256 validated multiple reaction monitoring (MRM)-based, multiplexed assays for quantifying protein expression and phosphorylation through the receptor tyrosine kinase, MAPK, and AKT signaling networks. As proof of concept, we quantify the response of melanoma (A375 and SK-MEL-2) and colorectal cancer (HCT-116 and HT-29) cell lines to BRAF inhibition by PLX-4720. These assays replace over 60 Western blots with quantitative mass spectrometry-based assays of high molecular specificity and quantitative precision, showing the value of these methods for pharmacodynamic measurements and mechanism of action studies. Methods, fit-for-purpose validation, and results are publicly available as a resource for the community at assays.cancer.gov. MOTIVATION A lack of quantitative, multiplexable assays for phosphosignaling limits comprehensive investigation of aberrant signaling in cancer and evaluation of novel treatments. To alleviate this limitation, we sought to develop assays using targeted mass spectrometry for quantifying protein expression and phosphorylation through the receptor tyrosine kinase, MAPK, and AKT signaling networks. The resulting assays provide a resource for replacing over 60 Western blots in examining cancer signaling and tumor biology with high molecular specificity and quantitative rigor.
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Affiliation(s)
- Jeffrey R. Whiteaker
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
| | - Kanika Sharma
- NCI RAS Initiative, Cancer Research Technology Program, Frederick National Laboratory for Cancer Research, Frederick, MD 21701, USA
| | - Melissa A. Hoffman
- Proteomics and Metabolomics Core, Department of Molecular Oncology, and Department of Tumor Biology, Moffitt Cancer Center & Research Institute, Tampa, FL 33612, USA
| | - Eric Kuhn
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA 02142, USA
| | - Lei Zhao
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
| | - Alexandra R. Cocco
- Gillings School of Global Public Health, Kenan-Flagler Business School, University of North Carolina, Chapel Hill, NC 27599, USA
| | - Regine M. Schoenherr
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
| | - Jacob J. Kennedy
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
| | - Ulianna Voytovich
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
| | - Chenwei Lin
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
| | - Bin Fang
- Proteomics and Metabolomics Core, Department of Molecular Oncology, and Department of Tumor Biology, Moffitt Cancer Center & Research Institute, Tampa, FL 33612, USA
| | - Kiah Bowers
- Proteomics and Metabolomics Core, Department of Molecular Oncology, and Department of Tumor Biology, Moffitt Cancer Center & Research Institute, Tampa, FL 33612, USA
| | - Gordon Whiteley
- Antibody Characterization Laboratory, Leidos Biochemical Research Inc, Frederick National Laboratory for Cancer Research ATRF, Frederick, MD 21701, USA
| | - Simona Colantonio
- Antibody Characterization Laboratory, Leidos Biochemical Research Inc, Frederick National Laboratory for Cancer Research ATRF, Frederick, MD 21701, USA
| | - William Bocik
- Antibody Characterization Laboratory, Leidos Biochemical Research Inc, Frederick National Laboratory for Cancer Research ATRF, Frederick, MD 21701, USA
| | - Rhonda Roberts
- Antibody Characterization Laboratory, Leidos Biochemical Research Inc, Frederick National Laboratory for Cancer Research ATRF, Frederick, MD 21701, USA
| | - Tara Hiltke
- Office of Cancer Clinical Proteomics Research, National Cancer Institute, Bethesda, MD 20892, USA
| | - Emily Boja
- 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
| | - Frank McCormick
- NCI RAS Initiative, Cancer Research Technology Program, Frederick National Laboratory for Cancer Research, Frederick, MD 21701, USA
- Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, CA 94158, USA
| | - Matthew Holderfield
- NCI RAS Initiative, Cancer Research Technology Program, Frederick National Laboratory for Cancer Research, Frederick, MD 21701, USA
- Department of Biology, Revolution Medicines, Inc., Redwood City, CA 94063, USA
| | - Steven A. Carr
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA 02142, USA
| | - John M. Koomen
- Proteomics and Metabolomics Core, Department of Molecular Oncology, and Department of Tumor Biology, Moffitt Cancer Center & Research Institute, Tampa, FL 33612, USA
| | - Amanda G. Paulovich
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
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13
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Dong M, Lih TSM, Höti N, Chen SY, Ponce S, Partin A, Zhang H. Development of Parallel Reaction Monitoring Assays for the Detection of Aggressive Prostate Cancer Using Urinary Glycoproteins. J Proteome Res 2021; 20:3590-3599. [PMID: 34106707 DOI: 10.1021/acs.jproteome.1c00162] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
Recently, we have found that two urinary glycoproteins, prostatic acid phosphatase (ACPP) and clusterin (CLU), combined with serum prostate-specific antigen (PSA) can serve as a three-signature panel for detecting aggressive prostate cancer (PCa) based on a quantitative glycoproteomic study. To facilitate the translation of candidates into clinically applicable tests, robust and accurate targeted parallel reaction monitoring (PRM) assays that can be widely adopted in multiple labs were developed in this study. The developed PRM assays for the urinary glycopeptides, FLN*ESYK from ACPP and EDALN*ETR from CLU, demonstrated good repeatability and a sufficient working range covering three to four orders of magnitude, and their performance in differentiating aggressive PCa was assessed by the quantitative analysis of urine specimens collected from 69 nonaggressive (Gleason score = 6) and 73 aggressive (Gleason ≥ 8) PCa patients. When ACPP combined with CLU, the discrimination power was improved from an area under a curve (AUC) of 0.66 to 0.78. By combining ACPP, CLU, and serum PSA to form a three-signature panel, the AUC was further improved to 0.83 (sensitivity: 84.9%, specificity: 66.7%). Since the serum PSA test alone had an AUC of 0.68, our results demonstrated that the new urinary glycopeptide PRM assays can serve as an adjunct to the serum PSA test to achieve better predictive power toward aggressive PCa. In summary, our developed PRM assays for urinary glycopeptides were successfully applied to clinical PCa urine samples with a promising performance in aggressive PCa detection.
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Affiliation(s)
- Mingming Dong
- Department of Pathology, School of Medicine, Johns Hopkins University, 400 N. Broadway Street, Smith Building, Room 4011, Baltimore, Maryland 21231, United States
| | - Tung-Shing Mamie Lih
- Department of Pathology, School of Medicine, Johns Hopkins University, 400 N. Broadway Street, Smith Building, Room 4011, Baltimore, Maryland 21231, United States
| | - Naseruddin Höti
- Department of Pathology, School of Medicine, Johns Hopkins University, 400 N. Broadway Street, Smith Building, Room 4011, Baltimore, Maryland 21231, United States
| | - Shao-Yung Chen
- Department of Pathology, School of Medicine, Johns Hopkins University, 400 N. Broadway Street, Smith Building, Room 4011, Baltimore, Maryland 21231, United States.,Department of Chemical and Biomolecular Engineering, Johns Hopkins University, Baltimore, Maryland 21218, United States
| | - Sean Ponce
- Department of Pathology, School of Medicine, Johns Hopkins University, 400 N. Broadway Street, Smith Building, Room 4011, Baltimore, Maryland 21231, United States.,Department of Chemical and Biomolecular Engineering, Johns Hopkins University, Baltimore, Maryland 21218, United States
| | - Alan Partin
- The Brady Urological Institute, The Johns Hopkins School of Medicine, Baltimore, Maryland 21287, United States
| | - Hui Zhang
- Department of Pathology, School of Medicine, Johns Hopkins University, 400 N. Broadway Street, Smith Building, Room 4011, Baltimore, Maryland 21231, United States.,Department of Chemical and Biomolecular Engineering, Johns Hopkins University, Baltimore, Maryland 21218, United States
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14
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Detailed Method for Performing the ExSTA Approach in Quantitative Bottom-Up Plasma Proteomics. Methods Mol Biol 2021; 2228:353-384. [PMID: 33950503 DOI: 10.1007/978-1-0716-1024-4_25] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/14/2023]
Abstract
The use of stable isotope-labeled standards (SIS) is an analytically valid means of quantifying proteins in biological samples. The nature of the labeled standards and their point of insertion in a bottom-up proteomic workflow can vary, with quantification methods utilizing curves in analytically sound practices. A promising quantification strategy for low sample amounts is external standard addition (ExSTA). In ExSTA, multipoint calibration curves are generated in buffer using serially diluted natural (NAT) peptides and a fixed concentration of SIS peptides. Equal concentrations of SIS peptides are spiked into experimental sample digests, with all digests (control and experimental) subjected to solid-phase extraction prior to liquid chromatography tandem mass spectrometry (LC-MS/MS) analysis. Endogenous peptide concentrations are then determined using the regression equation of the standard curves. Given the benefits of ExSTA in large-scale analysis, a detailed protocol is provided herein for quantifying a multiplexed panel of 125 high-to-moderate abundance proteins in undepleted and non-enriched human plasma samples. The procedural details and recommendations for successfully executing all phases of this quantification approach are described. As the proteins have been putatively correlated with various noncommunicable diseases, quantifying these by ExSTA in large-scale studies should help rapidly and precisely assess their true biomarker efficacy.
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15
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Bhowmick P, Roome S, Borchers CH, Goodlett DR, Mohammed Y. An Update on MRMAssayDB: A Comprehensive Resource for Targeted Proteomics Assays in the Community. J Proteome Res 2021; 20:2105-2115. [PMID: 33683131 PMCID: PMC8041396 DOI: 10.1021/acs.jproteome.0c00961] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
![]()
Precise multiplexed
quantification of proteins in biological samples
can be achieved by targeted proteomics using multiple or parallel
reaction monitoring (MRM/PRM). Combined with internal standards, the
method achieves very good repeatability and reproducibility enabling
excellent protein quantification and allowing longitudinal and cohort
studies. A laborious part of performing such experiments lies in the
preparation steps dedicated to the development and validation of individual
protein assays. Several public repositories host information on targeted
proteomics assays, including NCI’s Clinical Proteomic Tumor
Analysis Consortium assay portals, PeptideAtlas SRM Experiment Library,
SRMAtlas, PanoramaWeb, and PeptideTracker, with all offering varying
levels of details. We introduced MRMAssayDB in 2018 as an integrated
resource for targeted proteomics assays. The Web-based application
maps and links the assays from the repositories, includes comprehensive
up-to-date protein and sequence annotations, and provides multiple
visualization options on the peptide and protein level. We have extended
MRMAssayDB with more assays and extensive annotations. Currently it
contains >828 000 assays covering >51 000 proteins
from
94 organisms, of which >17 000 proteins are present in >2400
biological pathways, and >48 000 mapping to >21 000
Gene Ontology terms. This is an increase of about four times the number
of assays since introduction. We have expanded annotations of interaction,
biological pathways, and disease associations. A newly added visualization
module for coupled molecular structural annotation browsing allows
the user to interactively examine peptide sequence and any known PTMs
and disease mutations, and map all to available protein 3D structures.
Because of its integrative approach, MRMAssayDB enables a holistic
view of suitable proteotypic peptides and commonly used transitions
in empirical data. Availability: http://mrmassaydb.proteincentre.com.
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Affiliation(s)
- Pallab Bhowmick
- University of Victoria - Genome BC Proteomics Centre, Victoria, British Columbia V8Z 7X8, Canada.,University of Victoria, Victoria, British Columbia V8P 5C2, Canada
| | - Simon Roome
- University of Victoria - Genome BC Proteomics Centre, Victoria, British Columbia V8Z 7X8, Canada.,University of Victoria, Victoria, British Columbia V8P 5C2, Canada
| | - Christoph H Borchers
- Proteomics Centre, Segal Cancer Centre, Lady Davis Institute, Jewish General Hospital, McGill University, Montreal, Quebec H3T 1E2, Canada.,Gerald Bronfman Department of Oncology, Jewish General Hospital, Montreal, Quebec H3T 1E2, Canada.,Department of Data-Intensive Science and Engineering, Skolkovo Institute of Science and Technology, Skolkovo Innovation Center, Nobel Street, Moscow 121205, Russia
| | - David R Goodlett
- University of Victoria - Genome BC Proteomics Centre, Victoria, British Columbia V8Z 7X8, Canada.,University of Victoria, Victoria, British Columbia V8P 5C2, Canada.,University of Gdansk, International Centre for Cancer Vaccine Science, 80-309 Gdansk, Poland
| | - Yassene Mohammed
- University of Victoria - Genome BC Proteomics Centre, Victoria, British Columbia V8Z 7X8, Canada.,University of Victoria, Victoria, British Columbia V8P 5C2, Canada.,Center for Proteomics and Metabolomics, Leiden University Medical Center, 2333 ZA Leiden, Netherlands
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16
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Michaud SA, Pětrošová H, Jackson AM, McGuire JC, Sinclair NJ, Ganguly M, Flenniken AM, Nutter LMJ, McKerlie C, Schibli D, Smith D, Borchers CH. Process and Workflow for Preparation of Disparate Mouse Tissues for Proteomic Analysis. J Proteome Res 2020; 20:305-316. [PMID: 33151080 DOI: 10.1021/acs.jproteome.0c00399] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
We investigated the effect of homogenization strategy and protein precipitation on downstream protein quantitation using multiple reaction monitoring mass spectrometry (MRM-MS). Our objective was to develop a workflow capable of processing disparate tissue types with high throughput, minimal variability, and maximum purity. Similar abundances of endogenous proteins were measured in nine different mouse tissues regardless of the homogenization method used; however, protein precipitation had strong positive effects on several targets. The best throughput was achieved by lyophilizing tissues to dryness, followed by homogenization via bead-beating without sample buffer. Finally, the effect of tissue perfusion prior to dissection and collection was explored in 20 mouse tissues. MRM-MS showed decreased abundances of blood-related proteins in perfused tissues; however, complete removal was not achieved. Concentrations of nonblood proteins were largely unchanged, although significantly higher variances were observed for proteins from the perfused lung, indicating that perfusion may not be suitable for this organ. We present a simple yet effective tissue processing workflow consisting of harvest of fresh nonperfused tissue, novel lyophilization and homogenization by bead-beating, and protein precipitation. This workflow can be applied to a range of mouse tissues with the advantages of simplicity, minimal manual manipulation of samples, use of commonly available equipment, and high sample quality.
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Affiliation(s)
- Sarah A Michaud
- University of Victoria-Genome British Columbia Proteomics Centre, Victoria V8Z 7X8, British Columbia, Canada
| | - Helena Pětrošová
- University of Victoria-Genome British Columbia Proteomics Centre, Victoria V8Z 7X8, British Columbia, Canada
| | - Angela M Jackson
- University of Victoria-Genome British Columbia Proteomics Centre, Victoria V8Z 7X8, British Columbia, Canada
| | - Jamie C McGuire
- University of Victoria-Genome British Columbia Proteomics Centre, Victoria V8Z 7X8, British Columbia, Canada
| | - Nicholas J Sinclair
- University of Victoria-Genome British Columbia Proteomics Centre, Victoria V8Z 7X8, British Columbia, Canada
| | - Milan Ganguly
- The Center for Phenogenomics, Toronto M5T 3H7, Ontario, Canada.,The Hospital for Sick Children, Toronto M5G 1X8, Ontario, Canada
| | - Ann M Flenniken
- The Center for Phenogenomics, Toronto M5T 3H7, Ontario, Canada.,Sinai Health Lunenfeld-Tanenbaum Research Institute, Toronto M5G 1X5, Ontario, Canada
| | - Lauryl M J Nutter
- The Center for Phenogenomics, Toronto M5T 3H7, Ontario, Canada.,The Hospital for Sick Children, Toronto M5G 1X8, Ontario, Canada
| | - Colin McKerlie
- The Center for Phenogenomics, Toronto M5T 3H7, Ontario, Canada.,The Hospital for Sick Children, Toronto M5G 1X8, Ontario, Canada
| | - David Schibli
- University of Victoria-Genome British Columbia Proteomics Centre, Victoria V8Z 7X8, British Columbia, Canada
| | - Derek Smith
- University of Victoria-Genome British Columbia Proteomics Centre, Victoria V8Z 7X8, British Columbia, Canada
| | - Christoph H Borchers
- University of Victoria-Genome British Columbia Proteomics Centre, Victoria V8Z 7X8, British Columbia, Canada.,Department of Data Intensive Science and Engineering, Skolkovo Innovation Center, Skolkovo Institute of Science and Technology, Nobel Street, Moscow 143026, Russia.,Segal Cancer Proteomics Centre, Lady Davis Institute, Jewish General Hospital, McGill University, Montreal H3T 1E2, Quebec, Canada.,Gerald Bronfman Department of Oncology, Jewish General Hospital, McGill University, Montreal H3T 1E2, Quebec, Canada
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17
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Makridakis M, Kontostathi G, Petra E, Stroggilos R, Lygirou V, Filip S, Duranton F, Mischak H, Argiles A, Zoidakis J, Vlahou A. Multiplexed MRM-based protein quantification of putative prognostic biomarkers for chronic kidney disease progression in plasma. Sci Rep 2020; 10:4815. [PMID: 32179759 PMCID: PMC7076027 DOI: 10.1038/s41598-020-61496-z] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2019] [Accepted: 01/29/2020] [Indexed: 12/28/2022] Open
Abstract
Current diagnostic measures for Chronic Kidney Disease (CKD) include detection of reduced estimated glomerular filtration rate (eGFR) and albuminuria, which have suboptimal accuracies in predicting disease progression. The disease complexity and heterogeneity underscore the need for multiplex quantification of different markers. The goal of this study was to determine the association of six previously reported CKD-associated plasma proteins [B2M (Beta-2-microglobulin), SERPINF1 (Pigment epithelium-derived factor), AMBP (Protein AMBP), LYZ (Lysozyme C), HBB (Hemoglobin subunit beta) and IGHA1 (Immunoglobulin heavy constant alpha 1)], as measured in a multiplex format, with kidney function, and outcome. Antibody-free, multiple reaction monitoring mass spectrometry (MRM) assays were developed, characterized for their analytical performance, and used for the analysis of 72 plasma samples from a patient cohort with longitudinal follow-up. The MRM significantly correlated (Rho = 0.5–0.9) with results from respective ELISA. Five proteins [AMBP, B2M, LYZ, HBB and SERPINF1] were significantly associated with eGFR, with the three former also associated with unfavorable outcome. The combination of these markers provided stronger associations with outcome (p < 0.0001) compared to individual markers. Collectively, our study describes a multiplex assay for absolute quantification and verification analysis of previously described putative CKD prognostic markers, laying the groundwork for further use in prospective validation studies.
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Affiliation(s)
- Manousos Makridakis
- Biotechnology Division, Biomedical Research Foundation, Academy of Athens (BRFAA), Athens, Greece
| | - Georgia Kontostathi
- Biotechnology Division, Biomedical Research Foundation, Academy of Athens (BRFAA), Athens, Greece
| | - Eleni Petra
- Biotechnology Division, Biomedical Research Foundation, Academy of Athens (BRFAA), Athens, Greece
| | - Rafael Stroggilos
- Biotechnology Division, Biomedical Research Foundation, Academy of Athens (BRFAA), Athens, Greece
| | - Vasiliki Lygirou
- Biotechnology Division, Biomedical Research Foundation, Academy of Athens (BRFAA), Athens, Greece
| | - Szymon Filip
- Biotechnology Division, Biomedical Research Foundation, Academy of Athens (BRFAA), Athens, Greece
| | | | | | | | - Jerome Zoidakis
- Biotechnology Division, Biomedical Research Foundation, Academy of Athens (BRFAA), Athens, Greece
| | - Antonia Vlahou
- Biotechnology Division, Biomedical Research Foundation, Academy of Athens (BRFAA), Athens, Greece.
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18
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Archakov AI, Aseev AL, Bykov VA, Grigoriev AI, Govorun VM, Ilgisonis EV, Ivanov YD, Ivanov VT, Kiseleva OI, Kopylov AT, Lisitsa AV, Mazurenko SN, Makarov AA, Naryzhny SN, Pleshakova TO, Ponomarenko EA, Poverennaya EV, Pyatnitskii MA, Sagdeev RZ, Skryabin KG, Zgoda VG. Challenges of the Human Proteome Project: 10-Year Experience of the Russian Consortium. J Proteome Res 2019; 18:4206-4214. [PMID: 31599598 DOI: 10.1021/acs.jproteome.9b00358] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Abstract
This manuscript collects all the efforts of the Russian Consortium, bottlenecks revealed in the course of the C-HPP realization, and ways of their overcoming. One of the main bottlenecks in the C-HPP is the insufficient sensitivity of proteomic technologies, hampering the detection of low- and ultralow-copy number proteins forming the "dark part" of the human proteome. In the frame of MP-Challenge, to increase proteome coverage we suggest an experimental workflow based on a combination of shotgun technology and selected reaction monitoring with two-dimensional alkaline fractionation. Further, to detect proteins that cannot be identified by such technologies, nanotechnologies such as combined atomic force microscopy with molecular fishing and/or nanowire detection may be useful. These technologies provide a powerful tool for single molecule analysis, by analogy with nanopore sequencing during genome analysis. To systematically analyze the functional features of some proteins (CP50 Challenge), we created a mathematical model that predicts the number of proteins differing in amino acid sequence: proteoforms. According to our data, we should expect about 100 000 different proteoforms in the liver tissue and a little more in the HepG2 cell line. The variety of proteins forming the whole human proteome significantly exceeds these results due to post-translational modifications (PTMs). As PTMs determine the functional specificity of the protein, we propose using a combination of gene-centric transcriptome-proteomic analysis with preliminary fractionation by two-dimensional electrophoresis to identify chemically modified proteoforms. Despite the complexity of the proposed solutions, such integrative approaches could be fruitful for MP50 and CP50 Challenges in the framework of the C-HPP.
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Affiliation(s)
| | | | | | | | - Vadim M Govorun
- Federal Research and Clinical Center of Physical-Chemical Medicine , Moscow 119435 , Russia
| | | | - Yuri D Ivanov
- Institute of Biomedical Chemistry , Moscow 119435 , Russia
| | - Vadim T Ivanov
- Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry , Moscow 117997 , Russia
| | | | | | | | - Sergey N Mazurenko
- Joint Institute for Nuclear Research , Dubna, Moscow region 141980 , Russia
| | | | | | | | | | | | | | - Renad Z Sagdeev
- International Tomography Center , Novosibirsk 630090 , Russia
| | - Konstantin G Skryabin
- The Federal Research Centre "Fundamentals of Biotechnology" , Moscow 119071 , Russia
| | - Victor G Zgoda
- Institute of Biomedical Chemistry , Moscow 119435 , Russia
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19
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Fert-Bober J, Murray CI, Parker SJ, Van Eyk JE. Precision Profiling of the Cardiovascular Post-Translationally Modified Proteome: Where There Is a Will, There Is a Way. Circ Res 2019; 122:1221-1237. [PMID: 29700069 DOI: 10.1161/circresaha.118.310966] [Citation(s) in RCA: 30] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
There is an exponential increase in biological complexity as initial gene transcripts are spliced, translated into amino acid sequence, and post-translationally modified. Each protein can exist as multiple chemical or sequence-specific proteoforms, and each has the potential to be a critical mediator of a physiological or pathophysiological signaling cascade. Here, we provide an overview of how different proteoforms come about in biological systems and how they are most commonly measured using mass spectrometry-based proteomics and bioinformatics. Our goal is to present this information at a level accessible to every scientist interested in mass spectrometry and its application to proteome profiling. We will specifically discuss recent data linking various protein post-translational modifications to cardiovascular disease and conclude with a discussion for enablement and democratization of proteomics across the cardiovascular and scientific community. The aim is to inform and inspire the readership to explore a larger breadth of proteoform, particularity post-translational modifications, related to their particular areas of expertise in cardiovascular physiology.
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Affiliation(s)
- Justyna Fert-Bober
- From the Advanced Clinical BioSystems Research Institute, Smidt Heart Institute, Department of Medicine, Cedars Sinai Medical Center, Los Angeles, CA
| | - Christopher I Murray
- From the Advanced Clinical BioSystems Research Institute, Smidt Heart Institute, Department of Medicine, Cedars Sinai Medical Center, Los Angeles, CA
| | - Sarah J Parker
- From the Advanced Clinical BioSystems Research Institute, Smidt Heart Institute, Department of Medicine, Cedars Sinai Medical Center, Los Angeles, CA.
| | - Jennifer E Van Eyk
- From the Advanced Clinical BioSystems Research Institute, Smidt Heart Institute, Department of Medicine, Cedars Sinai Medical Center, Los Angeles, CA
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20
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Tang J, Wang Y, Li Y, Zhang Y, Zhang R, Xiao Z, Luo Y, Guo X, Tao L, Lou Y, Xue W, Zhu F. Recent Technological Advances in the Mass Spectrometry-based Nanomedicine Studies: An Insight from Nanoproteomics. Curr Pharm Des 2019; 25:1536-1553. [PMID: 31258068 DOI: 10.2174/1381612825666190618123306] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2019] [Accepted: 06/11/2019] [Indexed: 11/22/2022]
Abstract
Nanoscience becomes one of the most cutting-edge research directions in recent years since it is gradually matured from basic to applied science. Nanoparticles (NPs) and nanomaterials (NMs) play important roles in various aspects of biomedicine science, and their influences on the environment have caused a whole range of uncertainties which require extensive attention. Due to the quantitative and dynamic information provided for human proteome, mass spectrometry (MS)-based quantitative proteomic technique has been a powerful tool for nanomedicine study. In this article, recent trends of progress and development in the nanomedicine of proteomics were discussed from quantification techniques and publicly available resources or tools. First, a variety of popular protein quantification techniques including labeling and label-free strategies applied to nanomedicine studies are overviewed and systematically discussed. Then, numerous protein profiling tools for data processing and postbiological statistical analysis and publicly available data repositories for providing enrichment MS raw data information sources are also discussed.
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Affiliation(s)
- Jing Tang
- College of Pharmaceutical Sciences, Zhejiang University, Hangzhou 401331, China.,School of Pharmaceutical Sciences and Collaborative Innovation Center for Brain Science, Chongqing University, Chongqing 401331, China
| | - Yunxia Wang
- College of Pharmaceutical Sciences, Zhejiang University, Hangzhou 401331, China
| | - Yi Li
- College of Pharmaceutical Sciences, Zhejiang University, Hangzhou 401331, China
| | - Yang Zhang
- College of Pharmaceutical Sciences, Zhejiang University, Hangzhou 401331, China.,School of Pharmaceutical Sciences and Collaborative Innovation Center for Brain Science, Chongqing University, Chongqing 401331, China
| | - Runyuan Zhang
- College of Pharmaceutical Sciences, Zhejiang University, Hangzhou 401331, China
| | - Ziyu Xiao
- College of Pharmaceutical Sciences, Zhejiang University, Hangzhou 401331, China
| | - Yongchao Luo
- College of Pharmaceutical Sciences, Zhejiang University, Hangzhou 401331, China
| | - Xueying Guo
- College of Pharmaceutical Sciences, Zhejiang University, Hangzhou 401331, China
| | - Lin Tao
- Key Laboratory of Elemene Class Anti-cancer Chinese Medicine of Zhejiang Province, School of Medicine, Hangzhou Normal University, Hangzhou 310036, China
| | - Yan Lou
- Zhejiang Provincial Key Laboratory for Drug Clinical Research and Evaluation, The First Affiliated Hospital, Zhejiang University, 79 QingChun Road, Hangzhou, Zhejiang 310000, China
| | - Weiwei Xue
- School of Pharmaceutical Sciences and Collaborative Innovation Center for Brain Science, Chongqing University, Chongqing 401331, China
| | - Feng Zhu
- College of Pharmaceutical Sciences, Zhejiang University, Hangzhou 401331, China.,School of Pharmaceutical Sciences and Collaborative Innovation Center for Brain Science, Chongqing University, Chongqing 401331, China
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21
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Giudice G, Petsalaki E. Proteomics and phosphoproteomics in precision medicine: applications and challenges. Brief Bioinform 2019; 20:767-777. [PMID: 29077858 PMCID: PMC6585152 DOI: 10.1093/bib/bbx141] [Citation(s) in RCA: 25] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2017] [Revised: 09/21/2017] [Indexed: 12/11/2022] Open
Abstract
Recent advances in proteomics allow the accurate measurement of abundances for thousands of proteins and phosphoproteins from multiple samples in parallel. Therefore, for the first time, we have the opportunity to measure the proteomic profiles of thousands of patient samples or disease model cell lines in a systematic way, to identify the precise underlying molecular mechanism and discover personalized biomarkers, networks and treatments. Here, we review examples of successful use of proteomics and phosphoproteomics data sets in as well as their integration other omics data sets with the aim of precision medicine. We will discuss the bioinformatics challenges posed by the generation, analysis and integration of such large data sets and present potential reasons why proteomics profiling and biomarkers are not currently widely used in the clinical setting. We will finally discuss ways to contribute to the better use of proteomics data in precision medicine and the clinical setting.
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Affiliation(s)
- Girolamo Giudice
- European Molecular Biology Laboratory European Bioinformatics Institute
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22
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Bhowmick P, Mohammed Y, Borchers CH. MRMAssayDB: an integrated resource for validated targeted proteomics assays. Bioinformatics 2018; 34:3566-3571. [PMID: 29762640 PMCID: PMC6184479 DOI: 10.1093/bioinformatics/bty385] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2017] [Revised: 04/28/2018] [Accepted: 05/10/2018] [Indexed: 02/04/2023] Open
Abstract
Motivation Multiple Reaction Monitoring (MRM)-based targeted proteomics is increasingly being used to study the molecular basis of disease. When combined with an internal standard, MRM allows absolute quantification of proteins in virtually any type of sample but the development and validation of an MRM assay for a specific protein is laborious. Therefore, several public repositories now host targeted proteomics MRM assays, including NCI's Clinical Proteomic Tumor Analysis Consortium assay portals, PeptideAtlas SRM Experiment Library, SRMAtlas, PanoramaWeb and PeptideTracker, with all of which contain different levels of information. Results Here we present MRMAssayDB, a web-based application that integrates these repositories into a single resource. MRMAssayDB maps and links the targeted assays, annotates the proteins with information from UniProtKB, KEGG pathways and Gene Ontologies, and provides several visualization options on the peptide and protein level. Currently MRMAssayDB contains >168K assays covering more than 34K proteins from 63 organisms; >13.5K of these proteins are present in >2.3K KEGG biological pathways corresponding to >300 master pathways, and mapping to >13K GO biological processes. MRMAssayDB allows comprehensive searches for a targeted-proteomics assay depending on the user's interests, by using target-protein name or accession number, or using annotations such as subcellular localization, biological pathway, or disease or drug associations. The user can see how many data repositories include a specific peptide assay, and the commonly used transitions for each peptide in all empirical data from the repositories. Availability and implementation http://mrmassaydb.proteincentre.com. Supplementary information Supplementary data are available at Bioinformatics online.
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Affiliation(s)
- Pallab Bhowmick
- University of Victoria – Genome British Columbia Proteomics Centre, Victoria, BC, Canada
| | - Yassene Mohammed
- University of Victoria – Genome British Columbia Proteomics Centre, Victoria, BC, Canada
- Center for Proteomics and Metabolomics, Leiden University Medical Center, Leiden, ZA, The Netherlands
| | - Christoph H Borchers
- University of Victoria – Genome British Columbia Proteomics Centre, Victoria, BC, Canada
- Department of Biochemistry and Microbiology, University of Victoria, Victoria, BC, Canada
- Proteomics Centre, Segal Cancer Centre, Lady Davis Institute, Jewish General Hospital, McGill University, Montreal, QC, Canada
- Gerald Bronfman Department of Oncology, Jewish General Hospital, Montreal, QC, Canada
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23
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Molecular phenotyping of laboratory mouse strains using 500 multiple reaction monitoring mass spectrometry plasma assays. Commun Biol 2018; 1:78. [PMID: 30271959 PMCID: PMC6123701 DOI: 10.1038/s42003-018-0087-6] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2018] [Accepted: 05/28/2018] [Indexed: 12/18/2022] Open
Abstract
Mouse is the predominant experimental model for the study of human disease due, in part, to phylogenetic relationship, ease of breeding, and the availability of molecular tools for genetic manipulation. Advances in genome-editing methodologies, such as CRISPR-Cas9, enable the rapid production of new transgenic mouse strains, necessitating complementary high-throughput and systematic phenotyping technologies. In contrast to traditional protein phenotyping techniques, multiple reaction monitoring (MRM) mass spectrometry can be highly multiplexed without forgoing specificity or quantitative precision. Here we present MRM assays for the quantitation of 500 proteins and subsequently determine reference concentration values for plasma proteins across five laboratory mouse strains that are typically used in biomedical research, revealing inter-strain and intra-strain phenotypic differences. These 500 MRM assays will have a broad range of research applications including high-throughput phenotypic validation of novel transgenic mice, identification of candidate biomarkers, and general research applications requiring multiplexed and precise protein quantification.
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24
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Whiteaker JR, Zhao L, Saul R, Kaczmarczyk JA, Schoenherr RM, Moore HD, Jones-Weinert C, Ivey RG, Lin C, Hiltke T, Reding KW, Whiteley G, Wang P, Paulovich AG. A Multiplexed Mass Spectrometry-Based Assay for Robust Quantification of Phosphosignaling in Response to DNA Damage. Radiat Res 2018; 189:505-518. [PMID: 29474155 PMCID: PMC5939939 DOI: 10.1667/rr14963.1] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
A lack of analytically robust and multiplexed assays has hampered studies of the large, branched phosphosignaling network responsive to DNA damage. To address this need, we developed and fully analytically characterized a 62-plex assay quantifying protein expression and post-translational modification (phosphorylation and ubiquitination) after induction of DNA damage. The linear range was over 3 orders of magnitude, the median inter-assay variability was 10% CV and the vast majority (∼85%) of assays were stable after extended storage. The multiplexed assay was applied in proof-of-principle studies to quantify signaling after exposure to genotoxic stress (ionizing radiation and 4-nitroquinoline 1-oxide) in immortalized cell lines and primary human cells. The effects of genomic variants and pharmacologic kinase inhibition (ATM/ATR) were profiled using the assay. This study demonstrates the utility of a quantitative multiplexed assay for studying cellular signaling dynamics, and the potential application to studies on inter-individual variation in the radiation response.
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Affiliation(s)
- Jeffrey R. Whiteaker
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, Washingon
| | - Lei Zhao
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, Washingon
| | - Rick Saul
- Antibody Characterization Laboratory, Leidos Biochemical Research, Inc., Frederick National Laboratory for Cancer Research ATRF, Frederick, Maryland
| | - Jan A. Kaczmarczyk
- Antibody Characterization Laboratory, Leidos Biochemical Research, Inc., Frederick National Laboratory for Cancer Research ATRF, Frederick, Maryland
| | - Regine M. Schoenherr
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, Washingon
| | - Heather D. Moore
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, Washingon
| | - Corey Jones-Weinert
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, Washingon
| | - Richard G. Ivey
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, Washingon
| | - Chenwei Lin
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, Washingon
| | - Tara Hiltke
- Office of Cancer Clinical Proteomics Research, National Cancer Institute, Bethesda, Maryland
| | - Kerryn W. Reding
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, Washingon
- School of Public Health, University of Washington, Seattle, Washington
| | - Gordon Whiteley
- Antibody Characterization Laboratory, Leidos Biochemical Research, Inc., Frederick National Laboratory for Cancer Research ATRF, Frederick, Maryland
| | - Pei Wang
- Department of Genetics and Genomic Sciences, Icahn Institute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Amanda G. Paulovich
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, Washingon
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25
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Ntai I, Fornelli L, DeHart CJ, Hutton JE, Doubleday PF, LeDuc RD, van Nispen AJ, Fellers RT, Whiteley G, Boja ES, Rodriguez H, Kelleher NL. Precise characterization of KRAS4b proteoforms in human colorectal cells and tumors reveals mutation/modification cross-talk. Proc Natl Acad Sci U S A 2018; 115:4140-4145. [PMID: 29610327 PMCID: PMC5910823 DOI: 10.1073/pnas.1716122115] [Citation(s) in RCA: 58] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022] Open
Abstract
Mutations of the KRAS gene are found in human cancers with high frequency and result in the constitutive activation of its protein products. This leads to aberrant regulation of downstream pathways, promoting cell survival, proliferation, and tumorigenesis that drive cancer progression and negatively affect treatment outcomes. Here, we describe a workflow that can detect and quantify mutation-specific consequences of KRAS biochemistry, namely linked changes in posttranslational modifications (PTMs). We combined immunoaffinity enrichment with detection by top-down mass spectrometry to discover and quantify proteoforms with or without the Gly13Asp mutation (G13D) specifically in the KRAS4b isoform. The workflow was applied first to isogenic KRAS colorectal cancer (CRC) cell lines and then to patient CRC tumors with matching KRAS genotypes. In two cellular models, a direct link between the knockout of the mutant G13D allele and the complete nitrosylation of cysteine 118 of the remaining WT KRAS4b was observed. Analysis of tumor samples quantified the percentage of mutant KRAS4b actually present in cancer tissue and identified major differences in the levels of C-terminal carboxymethylation, a modification critical for membrane association. These data from CRC cells and human tumors suggest mechanisms of posttranslational regulation that are highly context-dependent and which lead to preferential production of specific KRAS4b proteoforms.
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Affiliation(s)
- Ioanna Ntai
- Department of Chemistry, Proteomics Center of Excellence, Northwestern University, Evanston, IL 60208
- Department of Molecular Biosciences, Proteomics Center of Excellence, Northwestern University, Evanston, IL 60208
| | - Luca Fornelli
- Department of Chemistry, Proteomics Center of Excellence, Northwestern University, Evanston, IL 60208
- Department of Molecular Biosciences, Proteomics Center of Excellence, Northwestern University, Evanston, IL 60208
| | - Caroline J DeHart
- Department of Chemistry, Proteomics Center of Excellence, Northwestern University, Evanston, IL 60208
- Department of Molecular Biosciences, Proteomics Center of Excellence, Northwestern University, Evanston, IL 60208
| | - Josiah E Hutton
- Department of Chemistry, Proteomics Center of Excellence, Northwestern University, Evanston, IL 60208
- Department of Molecular Biosciences, Proteomics Center of Excellence, Northwestern University, Evanston, IL 60208
| | - Peter F Doubleday
- Department of Chemistry, Proteomics Center of Excellence, Northwestern University, Evanston, IL 60208
- Department of Molecular Biosciences, Proteomics Center of Excellence, Northwestern University, Evanston, IL 60208
| | - Richard D LeDuc
- Department of Chemistry, Proteomics Center of Excellence, Northwestern University, Evanston, IL 60208
- Department of Molecular Biosciences, Proteomics Center of Excellence, Northwestern University, Evanston, IL 60208
| | - Alexandra J van Nispen
- Department of Chemistry, Proteomics Center of Excellence, Northwestern University, Evanston, IL 60208
- Department of Molecular Biosciences, Proteomics Center of Excellence, Northwestern University, Evanston, IL 60208
| | - Ryan T Fellers
- Department of Chemistry, Proteomics Center of Excellence, Northwestern University, Evanston, IL 60208
- Department of Molecular Biosciences, Proteomics Center of Excellence, Northwestern University, Evanston, IL 60208
| | - Gordon Whiteley
- Frederick National Laboratory for Cancer Research, Leidos Biomedical Research Inc., Frederick, MD 21701
| | - Emily S Boja
- Office of Cancer Clinical Proteomics Research, National Cancer Institute, Bethesda, MD 20892
| | - Henry Rodriguez
- Office of Cancer Clinical Proteomics Research, National Cancer Institute, Bethesda, MD 20892
| | - Neil L Kelleher
- Department of Chemistry, Proteomics Center of Excellence, Northwestern University, Evanston, IL 60208;
- Department of Molecular Biosciences, Proteomics Center of Excellence, Northwestern University, Evanston, IL 60208
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26
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Targeted proteomic assays for quantitation of proteins identified by proteogenomic analysis of ovarian cancer. Sci Data 2017; 4:170091. [PMID: 28722704 PMCID: PMC5516542 DOI: 10.1038/sdata.2017.91] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2016] [Accepted: 06/01/2017] [Indexed: 02/06/2023] Open
Abstract
Mass spectrometry (MS) based targeted proteomic methods such as selected reaction monitoring (SRM) are emerging as a promising tool for verification of candidate proteins in biological and biomedical applications. The Clinical Proteomic Tumor Analysis Consortium (CPTAC) of the National Cancer Institute has investigated the standardization and analytical validation of the SRM assays and demonstrated robust analytical performance on different instruments across different laboratories. An Assay Portal has also been established by CPTAC to provide the research community a resource consisting of large sets of targeted MS-based assays, and a depository to share assays publicly. Herein, we report the development of 98 SRM assays that have been thoroughly characterized according to the CPTAC Assay Characterization Guidance Document; 37 of these passed all five experimental tests. The assays cover 70 proteins previously identified at the protein level in ovarian tumors. The experiments, methods and results for characterizing these SRM assays for their MS response, repeatability, selectivity, stability, and endogenous detection are described in detail. Data are available via PeptideAtlas, Panorama and the CPTAC Assay Portal.
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Li S, Diego-Limpin PA, Bajrami B, Keshipeddy S, Lam YW, Deng B, Farrokhi V, McShane AJ, Nemati R, Howell AR, Yao X. Scaling Proteome-Wide Reactions of Activity-Based Probes. Anal Chem 2017; 89:6295-6299. [PMID: 28570047 PMCID: PMC6368408 DOI: 10.1021/acs.analchem.7b01184] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
Unified analysis of complex reactions of an activity-based probe with proteins in a proteome remains an unsolved challenge. We propose a power expression, rate = kobs[Probe]α, for scaling the progress of proteome-wide reactions and use the scaling factor (0 ≤ α ≤ 1) as an apparent, partial order with respect to the probe to measure the "enzyme-likeness" for a protein in reaction acceleration. Thus, α reports the intrinsic reactivity of the protein with the probe. When α = 0, the involved protein expedites the reaction to the maximal degree; when α = 1, the protein reacts with the probe via an unaccelerated, bimolecular reaction. The selectivity (β) of the probe reacting with two proteins is calculated as a ratio of conversion factors (kobs values) for corresponding power equations. A combination of α and β provides a tiered system for quantitatively assessing the probe efficacy; an ideal probe exhibits high reactivity with its protein targets (low in α) and is highly selective (high in β) in forming the probe-protein adducts. The scaling analysis was demonstrated using proteome-wide reactions of HT-29 cell lysates with a model probe of threonine β-lactone.
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Affiliation(s)
- Song Li
- Department of Chemistry, University of Connecticut, Storrs, CT 06269, USA
| | | | - Bekim Bajrami
- Department of Chemistry, University of Connecticut, Storrs, CT 06269, USA
| | - Santosh Keshipeddy
- Department of Chemistry, University of Connecticut, Storrs, CT 06269, USA
| | - Ying-Wai Lam
- Department of Biology, University of Vermont, Burlington, VT 05405, USA
- Vermont Genetics Network Proteomics Facility, University of Vermont, Burlington, VT 05405, USA
| | - Bin Deng
- Department of Biology, University of Vermont, Burlington, VT 05405, USA
- Vermont Genetics Network Proteomics Facility, University of Vermont, Burlington, VT 05405, USA
| | - Vahid Farrokhi
- Department of Chemistry, University of Connecticut, Storrs, CT 06269, USA
| | - Adam J. McShane
- Department of Chemistry, University of Connecticut, Storrs, CT 06269, USA
| | - Reza Nemati
- Department of Chemistry, University of Connecticut, Storrs, CT 06269, USA
| | - Amy R. Howell
- Department of Chemistry, University of Connecticut, Storrs, CT 06269, USA
| | - Xudong Yao
- Department of Chemistry, University of Connecticut, Storrs, CT 06269, USA
- Institute for Systems Biology, University of Connecticut, Storrs, CT 06269, USA
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Meyer JG, Schilling B. Clinical applications of quantitative proteomics using targeted and untargeted data-independent acquisition techniques. Expert Rev Proteomics 2017; 14:419-429. [PMID: 28436239 PMCID: PMC5671767 DOI: 10.1080/14789450.2017.1322904] [Citation(s) in RCA: 100] [Impact Index Per Article: 14.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Abstract
INTRODUCTION While selected/multiple-reaction monitoring (SRM or MRM) is considered the gold standard for quantitative protein measurement, emerging data-independent acquisition (DIA) using high-resolution scans have opened a new dimension of high-throughput, comprehensive quantitative proteomics. These newer methodologies are particularly well suited for discovery of biomarker candidates from human disease samples, and for investigating and understanding human disease pathways. Areas covered: This article reviews the current state of targeted and untargeted DIA mass spectrometry-based proteomic workflows, including SRM, parallel-reaction monitoring (PRM) and untargeted DIA (e.g., SWATH). Corresponding bioinformatics strategies, as well as application in biological and clinical studies are presented. Expert commentary: Nascent application of highly-multiplexed untargeted DIA, such as SWATH, for accurate protein quantification from clinically relevant and disease-related samples shows great potential to comprehensively investigate biomarker candidates and understand disease.
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Affiliation(s)
- Jesse G Meyer
- a Mass Spectrometry Core , Buck Institute for Research on Aging , Novato , CA , USA
| | - Birgit Schilling
- a Mass Spectrometry Core , Buck Institute for Research on Aging , Novato , CA , USA
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Rougemont B, Bontemps Gallo S, Ayciriex S, Carrière R, Hondermarck H, Lacroix JM, Le Blanc JCY, Lemoine J. Scout-MRM: Multiplexed Targeted Mass Spectrometry-Based Assay without Retention Time Scheduling Exemplified by Dickeya dadantii Proteomic Analysis during Plant Infection. Anal Chem 2017; 89:1421-1426. [PMID: 28029036 DOI: 10.1021/acs.analchem.6b03201] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
Targeted mass spectrometry of a surrogate peptide panel is a powerful method to study the dynamics of protein networks, but chromatographic time scheduling remains a major limitation for dissemination and implementation of robust and large multiplexed assays. We unveil a Multiple Reaction Monitoring method (Scout-MRM) where the use of spiked scout peptides triggers complex transition lists, regardless of the retention time of targeted surrogate peptides. The interest of Scout-MRM method regarding the retention time independency, multiplexing capability, reproducibility, and putative interest in facilitating method transfer was illustrated by a 782-peptide-plex relative assay targeting 445 proteins of the phytopathogen Dickeya dadantii during plant infection.
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Affiliation(s)
- Blandine Rougemont
- Université de Lyon, Université Claude Bernard Lyon 1, Ecole Normale Supérieure de Lyon, Institut des Sciences Analytiques , CNRS UMR 5280, 5 rue de la Doua, F-69100 Villeurbanne, France
| | - Sébastien Bontemps Gallo
- Université de Lille, CNRS, UMR 8576 , Unité de Glycobiologie Structurale et Fonctionnelle, F 59000 Lille, France
| | - Sophie Ayciriex
- Université de Lyon, Université Claude Bernard Lyon 1, Ecole Normale Supérieure de Lyon, Institut des Sciences Analytiques , CNRS UMR 5280, 5 rue de la Doua, F-69100 Villeurbanne, France
| | - Romain Carrière
- Université de Lyon, Université Claude Bernard Lyon 1, Ecole Normale Supérieure de Lyon, Institut des Sciences Analytiques , CNRS UMR 5280, 5 rue de la Doua, F-69100 Villeurbanne, France
| | - Hubert Hondermarck
- School of Biomedical Sciences and Pharmacy and Hunter Medical Research Institute, University of Newcastle , Callaghan, NSW 2308, Australia
| | - Jean Marie Lacroix
- Université de Lille, CNRS, UMR 8576 , Unité de Glycobiologie Structurale et Fonctionnelle, F 59000 Lille, France
| | | | - Jérôme Lemoine
- Université de Lyon, Université Claude Bernard Lyon 1, Ecole Normale Supérieure de Lyon, Institut des Sciences Analytiques , CNRS UMR 5280, 5 rue de la Doua, F-69100 Villeurbanne, France
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30
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Cifani P, Kentsis A. Towards comprehensive and quantitative proteomics for diagnosis and therapy of human disease. Proteomics 2016; 17. [PMID: 27775219 DOI: 10.1002/pmic.201600079] [Citation(s) in RCA: 54] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2016] [Revised: 10/06/2016] [Accepted: 10/21/2016] [Indexed: 12/21/2022]
Abstract
Given superior analytical features, MS proteomics is well suited for the basic investigation and clinical diagnosis of human disease. Modern MS enables detailed functional characterization of the pathogenic biochemical processes, as achieved by accurate and comprehensive quantification of proteins and their regulatory chemical modifications. Here, we describe how high-accuracy MS in combination with high-resolution chromatographic separations can be leveraged to meet these analytical requirements in a mechanism-focused manner. We review the quantification methods capable of producing accurate measurements of protein abundance and posttranslational modification stoichiometries. We then discuss how experimental design and chromatographic resolution can be leveraged to achieve comprehensive functional characterization of biochemical processes in complex biological proteomes. Finally, we describe current approaches for quantitative analysis of a common functional protein modification: reversible phosphorylation. In all, current instrumentation and methods of high-resolution chromatography and MS proteomics are poised for immediate translation into improved diagnostic strategies for pediatric and adult diseases.
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Affiliation(s)
- Paolo Cifani
- Molecular Pharmacology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Alex Kentsis
- Molecular Pharmacology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA.,Department of Pediatrics, Weill Cornell College of Cornell University and Memorial Sloan Kettering Cancer Center, New York, NY, USA
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