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Navarrete-Perea J, Li J, Mitchell DC, Chi A. Synthetic Knockout Protein Standard for Evaluating Interference in Tandem Mass Tag-Based Proteomics. Anal Chem 2024; 96:6836-6846. [PMID: 38640495 DOI: 10.1021/acs.analchem.4c00871] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/21/2024]
Abstract
Isobaric labeling is widely used for unbiased, proteome-wide studies, and it provides several advantages, such as fewer missing values among samples and higher quantitative precision. However, ion interference may lead to compressed or distorted observed ratios due to the coelution and coanalysis of peptides. Here, we introduced a synthetic KnockOut standard (sKO) for evaluating interference in tandem mass tags-based proteomics. sKO is made by mixing TMTpro-labeled tryptic peptides derived from four nonhuman proteins and a whole human proteome as background at different proportions. We showcased the utility of the sKO standard by exploring ion interference at different peptide concentrations (up to a 30-fold change in abundance) and using a variety of mass spectrometer data acquisition strategies. We also demonstrated that the sKO standard could provide valuable information for the rational design of acquisition strategies to achieve optimal data quality and discussed its potential applications for high-throughput proteomics workflows development.
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Affiliation(s)
| | - Jiaming Li
- Merck & Co., Inc., Cambridge, Massachusetts 02115, United States
| | | | - An Chi
- Merck & Co., Inc., Cambridge, Massachusetts 02115, United States
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2
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Madern M, Reiter W, Stanek F, Hartl N, Mechtler K, Hartl M. A Causal Model of Ion Interference Enables Assessment and Correction of Ratio Compression in Multiplex Proteomics. Mol Cell Proteomics 2024; 23:100694. [PMID: 38097181 PMCID: PMC10828822 DOI: 10.1016/j.mcpro.2023.100694] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2023] [Revised: 12/01/2023] [Accepted: 12/11/2023] [Indexed: 01/29/2024] Open
Abstract
Multiplex proteomics using isobaric labeling tags has emerged as a powerful tool for the simultaneous relative quantification of peptides and proteins across multiple experimental conditions. However, the quantitative accuracy of the approach is largely compromised by ion interference, a phenomenon that causes fold changes to appear compressed. The degree of compression is generally unknown, and the contributing factors are poorly understood. In this study, we thoroughly characterized ion interference at the MS2 level using a defined two-proteome experimental system with known ground-truth. We discovered remarkably poor agreement between the apparent precursor purity in the isolation window and the actual level of observed reporter ion interference in MS2 scans-a discrepancy that we found resolved by considering cofragmentation of peptide ions hidden within the spectral "noise" of the MS1 isolation window. To address this issue, we developed a regression modeling strategy to accurately predict reporter ion interference in any dataset. Finally, we demonstrate the utility of our procedure for improved fold change estimation and unbiased PTM site-to-protein normalization. All computational tools and code required to apply this method to any MS2 TMT dataset are documented and freely available.
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Affiliation(s)
- Moritz Madern
- Max Perutz Labs, Mass Spectrometry Facility, Vienna Biocenter Campus (VBC), Vienna, Austria; Department for Biochemistry and Cell Biology, Center for Molecular Biology, University of Vienna, Vienna Biocenter Campus (VBC), Vienna, Austria
| | - Wolfgang Reiter
- Max Perutz Labs, Mass Spectrometry Facility, Vienna Biocenter Campus (VBC), Vienna, Austria; Department for Biochemistry and Cell Biology, Center for Molecular Biology, University of Vienna, Vienna Biocenter Campus (VBC), Vienna, Austria
| | - Florian Stanek
- Research Institute of Molecular Pathology (IMP), Vienna Biocenter Campus (VBC), Vienna, Austria
| | - Natascha Hartl
- Max Perutz Labs, Mass Spectrometry Facility, Vienna Biocenter Campus (VBC), Vienna, Austria
| | - Karl Mechtler
- Research Institute of Molecular Pathology (IMP), Vienna Biocenter Campus (VBC), Vienna, Austria
| | - Markus Hartl
- Max Perutz Labs, Mass Spectrometry Facility, Vienna Biocenter Campus (VBC), Vienna, Austria; Department for Biochemistry and Cell Biology, Center for Molecular Biology, University of Vienna, Vienna Biocenter Campus (VBC), Vienna, Austria.
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3
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Bowser BL, Patterson KL, Robinson RA. Evaluating cPILOT Data toward Quality Control Implementation. JOURNAL OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY 2023; 34:1741-1752. [PMID: 37459602 DOI: 10.1021/jasms.3c00179] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/03/2023]
Abstract
Multiplexing enables the monitoring of hundreds to thousands of proteins in quantitative proteomics analyses and increases sample throughput. In most mass-spectrometry-based proteomics workflows, multiplexing is achieved by labeling biological samples with heavy isotopes via precursor isotopic labeling or isobaric tagging. Enhanced multiplexing strategies, such as combined precursor isotopic labeling and isobaric tagging (cPILOT), combine multiple technologies to afford an even higher sample throughput. Critical to enhanced multiplexing analyses is ensuring that analytical performance is optimal and that missingness of sample channels is minimized. Automation of sample preparation steps and use of quality control (QC) metrics can be incorporated into multiplexing analyses and reduce the likelihood of missing information, thus maximizing the amount of usable quantitative data. Here, we implemented QC metrics previously developed in our laboratory to evaluate a 36-plex cPILOT experiment that encompassed 144 mouse samples of various tissue types, time points, genotypes, and biological replicates. The evaluation focuses on the use of a sample pool generated from all samples in the experiment to monitor the daily instrument performance and to provide a means for data normalization across sample batches. Our results show that tracking QC metrics enabled the quantification of ∼7000 proteins in each sample batch, of which ∼70% had minimal missing values across up to 36 sample channels. Implementation of QC metrics for future cPILOT studies as well as other enhanced multiplexing strategies will help yield high-quality data sets.
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Affiliation(s)
- Bailey L Bowser
- Department of Chemistry, Vanderbilt University, Nashville, Tennessee 37235, United States
| | - Khiry L Patterson
- Department of Chemistry, Vanderbilt University, Nashville, Tennessee 37235, United States
| | - Renã As Robinson
- Department of Chemistry, Vanderbilt University, Nashville, Tennessee 37235, United States
- Department of Neurology, Vanderbilt University Medical Center, Nashville, Tennessee 37232, United States
- Vanderbilt Memory & Alzheimer's Center, Nashville, Tennessee 37212, United States
- Vanderbilt Institute of Chemical Biology, Nashville, Tennessee 37232, United States
- Vanderbilt Brain Institute, Nashville, Tennessee 37232, United States
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4
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Paulo JA. Isobaric labeling: Expanding the breadth, accuracy, depth, and diversity of sample multiplexing. Proteomics 2022; 22:e2200328. [PMID: 36089831 PMCID: PMC10777124 DOI: 10.1002/pmic.202200328] [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: 08/25/2022] [Revised: 08/25/2022] [Accepted: 08/26/2022] [Indexed: 11/10/2022]
Abstract
Isobaric labeling has rapidly become a predominant strategy for proteome-wide abundance measurements. Coupled to mass spectrometry, sample multiplexing techniques using isobaric labeling are unparalleled for profiling proteins and posttranslational modifications across multiple samples in a single experiment. Here, I highlight aspects of isobaric labeling in the context of expanding the breadth of multiplexing, improving quantitative accuracy and proteome depth, and developing a wide range of diverse applications. I underscore two facets that enhance quantitative accuracy and reproducibility, specifically the availability of quality control standards for isobaric labeling experiments and the evolution of data acquisition methods. I also emphasize the necessity for standardized methodologies, particularly for emerging high-throughput workflows. Future developments in sample multiplexing will further strengthen the importance of isobaric labeling for comprehensive proteome profiling.
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Affiliation(s)
- Joao A Paulo
- Department of Cell Biology, Blavatnik Institute at Harvard Medical School, Boston, Massachusetts, USA
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5
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Pfeiffer CT, Paulo JA, Gygi SP, Rockman HA. Proximity labeling for investigating protein-protein interactions. Methods Cell Biol 2022; 169:237-266. [PMID: 35623704 PMCID: PMC10782847 DOI: 10.1016/bs.mcb.2021.12.006] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
The study of protein complexes and protein-protein interactions is of great importance due to their fundamental roles in cellular function. Proximity labeling, often coupled with mass spectrometry, has become a powerful and versatile tool for studying protein-protein interactions by enriching and identifying proteins in the vicinity of a specified protein-of-interest. Here, we describe and compare traditional approaches to investigate protein-protein interactions to current day state-of-the-art proximity labeling methods. We focus on the wide array of proximity labeling strategies and underscore studies using diverse model systems to address numerous biological questions. In addition, we highlight current advances in mass spectrometry-based technology that exhibit promise in improving the depth and breadth of the data acquired in proximity labeling experiments. In all, we show the diversity of proximity labeling strategies and emphasize the broad range of applications and biological inquiries that can be addressed using this technology.
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Affiliation(s)
- Conrad T Pfeiffer
- Department of Medicine, Duke University Medical Center, Durham, NC, United States
| | - Joao A Paulo
- Department of Cell Biology, Harvard Medical School, Boston, MA, United States
| | - Steven P Gygi
- Department of Cell Biology, Harvard Medical School, Boston, MA, United States
| | - Howard A Rockman
- Department of Medicine, Duke University Medical Center, Durham, NC, United States; Department of Cell Biology, Duke University Medical Center, Durham, NC, United States.
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6
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Navarrete-Perea J, Liu X, Rad R, Gygi JP, Gygi SP, Paulo JA. Assessing interference in isobaric tag-based sample multiplexing using an 18-plex interference standard. Proteomics 2021; 22:e2100317. [PMID: 34918453 DOI: 10.1002/pmic.202100317] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2021] [Revised: 12/09/2021] [Accepted: 12/09/2021] [Indexed: 11/06/2022]
Abstract
Reporter ion interference remains a limitation of isobaric tag-based sample multiplexing. Advances in instrumentation and data acquisition modes, such as the recently developed real-time database search (RTS), can reduce interference. However, interference persists as does the need to benchmark upstream sample preparation and data acquisition strategies. Here, we present an updated Triple yeast KnockOut (TKO) standard as well as corresponding upgrades to the TKO Viewing Tool (TVT2.5, http://tko.hms.harvard.edu/). Specifically, we expand the TKO standard to incorporate the TMTpro18-plex reagents (TKO18). We also construct a variant thereof which has been digested only with LysC (TKO18L). We compare proteome coverage and interference levels of TKO18 and TKO18L data that are acquired under different data acquisition modes and analyzed using TVT2.5. Our data illustrate that RTS reduces interference while improving proteome coverage and suggest that digesting with LysC alone only modestly reduces interference, albeit at the expense of proteome depth. Collectively, the two new TKO standards coupled with the updated TVT represent a convenient and versatile platform for assessing and developing methods to reduce interference in isobaric tag-based experiments. This article is protected by copyright. All rights reserved.
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Affiliation(s)
- Jose Navarrete-Perea
- Department of Cell Biology, Harvard Medical School, Boston, Massachusetts, 02115, USA
| | - Xinyue Liu
- Department of Cell Biology, Harvard Medical School, Boston, Massachusetts, 02115, USA
| | - Ramin Rad
- Department of Cell Biology, Harvard Medical School, Boston, Massachusetts, 02115, USA
| | - Jeremy P Gygi
- Department of Cell Biology, Harvard Medical School, Boston, Massachusetts, 02115, USA
| | - Steven P Gygi
- Department of Cell Biology, Harvard Medical School, Boston, Massachusetts, 02115, USA
| | - Joao A Paulo
- Department of Cell Biology, Harvard Medical School, Boston, Massachusetts, 02115, USA
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7
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Ctortecka C, Krššáková G, Stejskal K, Penninger JM, Mendjan S, Mechtler K, Stadlmann J. Comparative proteome signatures of trace samples by multiplexed Data-Independent Acquisition. Mol Cell Proteomics 2021; 21:100177. [PMID: 34793982 PMCID: PMC8717550 DOI: 10.1016/j.mcpro.2021.100177] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2021] [Revised: 11/04/2021] [Accepted: 11/10/2021] [Indexed: 01/01/2023] Open
Abstract
Single-cell transcriptomics has revolutionized our understanding of basic biology and disease. Since transcript levels often do not correlate with protein expression, it is crucial to complement transcriptomics approaches with proteome analyses at single-cell resolution. Despite continuous technological improvements in sensitivity, mass-spectrometry-based single-cell proteomics ultimately faces the challenge of reproducibly comparing the protein expression profiles of thousands of individual cells. Here, we combine two hitherto opposing analytical strategies, DIA and Tandem-Mass-Tag (TMT)-multiplexing, to generate highly reproducible, quantitative proteome signatures from ultralow input samples. We developed a novel, identification-independent proteomics data-analysis pipeline that allows to quantitatively compare DIA-TMT proteome signatures across hundreds of samples independent of their biological origin to identify cell types and single protein knockouts. These proteome signatures overcome the need to impute quantitative data due to accumulating detrimental amounts of missing data in standard multibatch TMT experiments. We validate our approach using integrative data analysis of different human cell lines and standard database searches for knockouts of defined proteins. Our data establish a novel and reproducible approach to markedly expand the numbers of proteins one detects from ultralow input samples. DIA-TMT provides reproducible, quantitative proteome signatures at high throughput. Proteome signature inferred cell type characterization is highly accurate. Proteome signatures accurately highlight underrepresented cell types. ID-independent DIA-TMT is more reproducible than standard DDA acquisition strategies.
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Affiliation(s)
- Claudia Ctortecka
- Research Institute of Molecular Pathology (IMP), Vienna BioCenter (VBC), Vienna, Austria
| | - Gabriela Krššáková
- Research Institute of Molecular Pathology (IMP), Vienna BioCenter (VBC), Vienna, Austria; Institute of Molecular Biotechnology of the Austrian Academy of Sciences (IMBA), Vienna BioCenter (VBC), Vienna, Austria; The Gregor Mendel Institute of Molecular Plant Biology of the Austrian Academy of Sciences (GMI), Vienna BioCenter (VBC), Vienna, Austria
| | - Karel Stejskal
- Research Institute of Molecular Pathology (IMP), Vienna BioCenter (VBC), Vienna, Austria; Institute of Molecular Biotechnology of the Austrian Academy of Sciences (IMBA), Vienna BioCenter (VBC), Vienna, Austria; The Gregor Mendel Institute of Molecular Plant Biology of the Austrian Academy of Sciences (GMI), Vienna BioCenter (VBC), Vienna, Austria
| | - Josef M Penninger
- Institute of Molecular Biotechnology of the Austrian Academy of Sciences (IMBA), Vienna BioCenter (VBC), Vienna, Austria; Department of Medical Genetics, Life Sciences Institute, University of British Columbia, Vancouver Campus, Vancouver, British Columbia, Canada
| | - Sasha Mendjan
- Institute of Molecular Biotechnology of the Austrian Academy of Sciences (IMBA), Vienna BioCenter (VBC), Vienna, Austria
| | - Karl Mechtler
- Research Institute of Molecular Pathology (IMP), Vienna BioCenter (VBC), Vienna, Austria; Institute of Molecular Biotechnology of the Austrian Academy of Sciences (IMBA), Vienna BioCenter (VBC), Vienna, Austria; The Gregor Mendel Institute of Molecular Plant Biology of the Austrian Academy of Sciences (GMI), Vienna BioCenter (VBC), Vienna, Austria
| | - Johannes Stadlmann
- Institute of Molecular Biotechnology of the Austrian Academy of Sciences (IMBA), Vienna BioCenter (VBC), Vienna, Austria; Institute of Biochemistry, Department of Chemistry, University of Natural Resources and Life Sciences (BOKU), Vienna, Austria.
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8
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Liu X, Fields R, Schweppe DK, Paulo JA. Strategies for mass spectrometry-based phosphoproteomics using isobaric tagging. Expert Rev Proteomics 2021; 18:795-807. [PMID: 34652972 DOI: 10.1080/14789450.2021.1994390] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
INTRODUCTION Protein phosphorylation is a primary mechanism of signal transduction in cellular systems. Isobaric tagging can be used to investigate alterations in phosphorylation events in sample multiplexing experiments where quantification extends across all conditions. As such, innovations in tandem mass tag methods can facilitate the expansion of the depth and breadth of phosphoproteomic analyses. AREAS COVERED This review discusses the current state of tandem mass tag-centric phosphoproteomics and highlights advances in reagent chemistry, instrumentation, data acquisition, and data analysis. We stress that approaches for phosphoproteomic investigations require high-specificity enrichment, sensitive detection, and accurate phosphorylation site localization. EXPERT OPINION Tandem mass tag-centric phosphoproteomics will continue to be an important conduit for our understanding of signal transduction in living organisms. We anticipate that progress in phosphopeptide enrichment methodologies, enhancements in instrumentation and data acquisition technologies, and further refinements in analytical strategies will be key to the discovery of biologically relevant findings from phosphoproteomics studies.
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Affiliation(s)
- Xinyue Liu
- Department of Cell Biology, Harvard Medical School, Boston, USA
| | - Rose Fields
- Department of Genome Sciences, University of Washington, Seattle, USA
| | - Devin K Schweppe
- Department of Genome Sciences, University of Washington, Seattle, USA
| | - Joao A Paulo
- Department of Cell Biology, Harvard Medical School, Boston, USA
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9
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Liu X, Gygi SP, Paulo JA. A Semiautomated Paramagnetic Bead-Based Platform for Isobaric Tag Sample Preparation. JOURNAL OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY 2021; 32:1519-1529. [PMID: 33950666 PMCID: PMC8210952 DOI: 10.1021/jasms.1c00077] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/12/2023]
Abstract
The development of streamlined and high-throughput sample processing workflows is important for capitalizing on emerging advances and innovations in mass spectrometry-based applications. While the adaptation of new technologies and improved methodologies is fast paced, automation of upstream sample processing often lags. Here we have developed and implemented a semiautomated paramagnetic bead-based platform for isobaric tag sample preparation. We benchmarked the robot-assisted platform by comparing the protein abundance profiles of six common parental laboratory yeast strains in triplicate TMTpro16-plex experiments against an identical set of experiments in which the samples were manually processed. Both sets of experiments quantified similar numbers of proteins and peptides with good reproducibility. Using these data, we constructed an interactive website to explore the proteome profiles of six yeast strains. We also provide the community with open-source templates for automating routine proteomics workflows on an opentrons OT-2 liquid handler. The robot-assisted platform offers a versatile and affordable option for reproducible sample processing for a wide range of protein profiling applications.
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Affiliation(s)
- Xinyue Liu
- Department of Cell Biology, Harvard Medical School, Boston, Massachusetts 02115, United States
| | - Steven P Gygi
- Department of Cell Biology, Harvard Medical School, Boston, Massachusetts 02115, United States
| | - Joao A Paulo
- Department of Cell Biology, Harvard Medical School, Boston, Massachusetts 02115, United States
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10
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Paulo JA, Schweppe DK. Advances in quantitative high-throughput phosphoproteomics with sample multiplexing. Proteomics 2021; 21:e2000140. [PMID: 33455035 DOI: 10.1002/pmic.202000140] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2020] [Revised: 11/18/2020] [Accepted: 12/04/2020] [Indexed: 02/06/2023]
Abstract
Eukaryotic protein phosphorylation modulates nearly every major biological process. Phosphorylation regulates protein activity, mediates cellular signal transduction, and manipulates cellular structure. Consequently, the dysregulation of kinase and phosphatase pathways has been linked to a multitude of diseases. Mass spectrometry-based proteomic techniques are increasingly used for the global interrogation of perturbations in phosphorylation-based cellular signaling. Strategies for studying phosphoproteomes require high-specificity enrichment, sensitive detection, and accurate localization of phosphorylation sites with advanced LC-MS/MS techniques and downstream informatics. Sample multiplexing with isobaric tags has also been integral to recent advancements in throughput and sensitivity for phosphoproteomic studies. Each of these facets of phosphoproteomics analysis present distinct challenges and thus opportunities for improvement and innovation. Here, we review current methodologies, explore persistent challenges, and discuss the outlook for isobaric tag-based quantitative phosphoproteomic analysis.
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Affiliation(s)
- Joao A Paulo
- Harvard Medical School, Boston, Massachusetts, USA
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11
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Zhang T, Keele GR, Churchill GA, Gygi SP, Paulo JA. Strain-Specific Peptide (SSP) Interference Reference Sample: A Genetically Encoded Quality Control for Isobaric Tagging Strategies. Anal Chem 2021; 93:5241-5247. [PMID: 33735571 DOI: 10.1021/acs.analchem.0c05483] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Abstract
Isobaric tag-based sample multiplexing strategies are extensively used for global protein abundance profiling. However, such analyses are often confounded by ratio compression resulting from the co-isolation, co-fragmentation, and co-quantification of co-eluting peptides, termed "interference." Recent analytical strategies incorporating ion mobility and real-time database searching have helped to alleviate interference, yet further assessment is needed. Here, we present the strain-specific peptide (SSP) interference reference sample, a tandem mass tag (TMT)pro-labeled quality control that leverages the genetic variation in the proteomes of eight phylogenetically divergent mouse strains. Typically, a peptide with a missense mutation has a different mass and retention time than the reference or native peptide. TMT reporter ion signal for the native peptide in strains that encode the mutant peptide suggests interference which can be quantified and assessed using the interference-free index (IFI). We introduce the SSP by investigating interference in three common data acquisition methods and by showcasing improvements in the IFI when using ion mobility-based gas-phase fractionation. In addition, we provide a user-friendly, online viewer to visualize the data and streamline the calculation of the IFI. The SSP will aid in developing and optimizing isobaric tag-based experiments.
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Affiliation(s)
- Tian Zhang
- Department of Cell Biology, Harvard Medical School, Boston, Massachusetts 02115, United States
| | - Greg R Keele
- The Jackson Laboratory, Bar Harbor, Maine 04609, United States
| | | | - Steven P Gygi
- Department of Cell Biology, Harvard Medical School, Boston, Massachusetts 02115, United States
| | - Joao A Paulo
- Department of Cell Biology, Harvard Medical School, Boston, Massachusetts 02115, United States
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12
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Koduri V, Duplaquet L, Lampson BL, Wang AC, Sabet AH, Ishoey M, Paulk J, Teng M, Harris IS, Endress JE, Liu X, Dasilva E, Paulo JA, Briggs KJ, Doench JG, Ott CJ, Zhang T, Donovan KA, Fischer ES, Gygi SP, Gray NS, Bradner J, Medin JA, Buhrlage SJ, Oser MG, Kaelin WG. Targeting oncoproteins with a positive selection assay for protein degraders. SCIENCE ADVANCES 2021; 7:7/6/eabd6263. [PMID: 33547076 PMCID: PMC7864573 DOI: 10.1126/sciadv.abd6263] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/02/2020] [Accepted: 12/17/2020] [Indexed: 06/12/2023]
Abstract
Most intracellular proteins lack hydrophobic pockets suitable for altering their function with drug-like small molecules. Recent studies indicate that some undruggable proteins can be targeted by compounds that can degrade them. For example, thalidomide-like drugs (IMiDs) degrade the critical multiple myeloma transcription factors IKZF1 and IKZF3 by recruiting them to the cereblon E3 ubiquitin ligase. Current loss of signal ("down") assays for identifying degraders often exhibit poor signal-to-noise ratios, narrow dynamic ranges, and false positives from compounds that nonspecifically suppress transcription or translation. Here, we describe a gain of signal ("up") assay for degraders. In arrayed chemical screens, we identified novel IMiD-like IKZF1 degraders and Spautin-1, which, unlike the IMiDs, degrades IKZF1 in a cereblon-independent manner. In a pooled CRISPR-Cas9-based screen, we found that CDK2 regulates the abundance of the ASCL1 oncogenic transcription factor. This methodology should facilitate the identification of drugs that directly or indirectly degrade undruggable proteins.
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Affiliation(s)
- Vidyasagar Koduri
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | - Leslie Duplaquet
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | - Benjamin L Lampson
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | - Adam C Wang
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | - Amin H Sabet
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | - Mette Ishoey
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | - Joshiawa Paulk
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | - Mingxing Teng
- Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
- Department of Biological Chemistry and Molecular Pharmacology, Harvard Medical School, Boston, MA 02115, USA
| | - Isaac S Harris
- Ludwig Cancer Center, Boston, MA 02115, USA
- Department of Cell Biology, Harvard Medical School, Boston, MA 02115, USA
| | - Jennifer E Endress
- Ludwig Cancer Center, Boston, MA 02115, USA
- Department of Cell Biology, Harvard Medical School, Boston, MA 02115, USA
| | - Xiaoxi Liu
- Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
- Linde Program in Chemical Biology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | - Ethan Dasilva
- Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
- Linde Program in Chemical Biology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | - Joao A Paulo
- Department of Cell Biology, Harvard Medical School, Boston, MA 02115, USA
| | - Kimberly J Briggs
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | - John G Doench
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Christopher J Ott
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | - Tinghu Zhang
- Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
- Department of Biological Chemistry and Molecular Pharmacology, Harvard Medical School, Boston, MA 02115, USA
| | - Katherine A Donovan
- Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
- Department of Biological Chemistry and Molecular Pharmacology, Harvard Medical School, Boston, MA 02115, USA
| | - Eric S Fischer
- Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
- Department of Biological Chemistry and Molecular Pharmacology, Harvard Medical School, Boston, MA 02115, USA
| | - Steven P Gygi
- Department of Cell Biology, Harvard Medical School, Boston, MA 02115, USA
| | - Nathanael S Gray
- Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
- Department of Biological Chemistry and Molecular Pharmacology, Harvard Medical School, Boston, MA 02115, USA
| | - James Bradner
- Novartis Institutes for Biomedical Research, Cambridge, MA 02139, USA
| | - Jeffrey A Medin
- Departments of Pediatrics and Biochemistry, Medical College of Wisconsin, Milwaukee, WI 53226, USA
| | - Sara J Buhrlage
- Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
- Linde Program in Chemical Biology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | - Matthew G Oser
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA.
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
- Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02215, USA
| | - William G Kaelin
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA.
- Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02215, USA
- Howard Hughes Medical Institute, Chevy Chase, MD 20815, USA
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13
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Navarrete-Perea J, Gygi SP, Paulo JA. HYpro16: A Two-Proteome Mixture to Assess Interference in Isobaric Tag-Based Sample Multiplexing Experiments. JOURNAL OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY 2021; 32:247-254. [PMID: 33175540 PMCID: PMC8210950 DOI: 10.1021/jasms.0c00299] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/08/2023]
Abstract
Isobaric tagging is a powerful strategy for global proteome profiling. A caveat of isobaric-tag-based quantification is "interference", which may be caused by coeluting peptides that are coisolated, cofragmented, and coanalyzed, thereby confounding quantitative accuracy. Here, we present a two-proteome standard that challenges the mass spectrometer to measure a range of protein abundance ratios in a background of potential interference. The HYpro16 standard consists of tandem mass tag (TMT) pro16-labeled human peptides at a 1:1 ratio across all channels into which is spiked TMTpro16-labeled yeast peptides in triplicate at 20:1, 10:1, 4:1, and 2:1 ratios. We showcase the HYpro16 standard by (1) altering the MS2 isolation window width and (2) examining different data acquisition methods (hrMS2, SPS-MS3, RTS-MS3). Our data illustrate that wider isolation widths moderately increase the TMT signal, the benefits of which are offset by decreased ratio accuracy. We also show that using real-time database searching (RTS)-MS3 resulted in the most accurate ratios. Additionally, the number of quantified yeast proteins using RTS-MS3 approaches that of hrMS2 when using a yeast-specific database for real-time searching. In short, this quality control standard allows for the assessment of multiple quantitative measurements within a single run, which can be compared across instruments to benchmark and track performance.
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Affiliation(s)
- Jose Navarrete-Perea
- Department of Cell Biology, Harvard Medical School, Boston, Massachusetts 02115, United States
| | - Steven P Gygi
- Department of Cell Biology, Harvard Medical School, Boston, Massachusetts 02115, United States
| | - Joao A Paulo
- Department of Cell Biology, Harvard Medical School, Boston, Massachusetts 02115, United States
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Wang Z, Kavdia K, Dey KK, Pagala VR, Kodali K, Liu D, Lee DG, Sun H, Chepyala SR, Cho JH, Niu M, High AA, Peng J. High-throughput and Deep-proteome Profiling by 16-plex Tandem Mass Tag Labeling Coupled with Two-dimensional Chromatography and Mass Spectrometry. J Vis Exp 2020:10.3791/61684. [PMID: 32894271 PMCID: PMC7752892 DOI: 10.3791/61684] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022] Open
Abstract
Isobaric tandem mass tag (TMT) labeling is widely used in proteomics because of its high multiplexing capacity and deep proteome coverage. Recently, an expanded 16-plex TMT method has been introduced, which further increases the throughput of proteomic studies. In this manuscript, we present an optimized protocol for 16-plex TMT-based deep-proteome profiling, including protein sample preparation, enzymatic digestion, TMT labeling reaction, two-dimensional reverse-phase liquid chromatography (LC/LC) fractionation, tandem mass spectrometry (MS/MS), and computational data processing. The crucial quality control steps and improvements in the process specific for the 16-plex TMT analysis are highlighted. This multiplexed process offers a powerful tool for profiling a variety of complex samples such as cells, tissues, and clinical specimens. More than 10,000 proteins and posttranslational modifications such as phosphorylation, methylation, acetylation, and ubiquitination in highly complex biological samples from up to 16 different samples can be quantified in a single experiment, providing a potent tool for basic and clinical research.
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Affiliation(s)
- Zhen Wang
- Departments of Structural Biology and Developmental Neurobiology, St. Jude Children's Research Hospital
| | - Kanisha Kavdia
- Center for Proteomics and Metabolomics, St. Jude Children's Research Hospital
| | - Kaushik Kumar Dey
- Departments of Structural Biology and Developmental Neurobiology, St. Jude Children's Research Hospital
| | | | - Kiran Kodali
- Center for Proteomics and Metabolomics, St. Jude Children's Research Hospital
| | - Danting Liu
- Departments of Structural Biology and Developmental Neurobiology, St. Jude Children's Research Hospital
| | - Dong Geun Lee
- Departments of Structural Biology and Developmental Neurobiology, St. Jude Children's Research Hospital
| | - Huan Sun
- Departments of Structural Biology and Developmental Neurobiology, St. Jude Children's Research Hospital
| | - Surendhar Reddy Chepyala
- Departments of Structural Biology and Developmental Neurobiology, St. Jude Children's Research Hospital
| | - Ji-Hoon Cho
- Center for Proteomics and Metabolomics, St. Jude Children's Research Hospital
| | - Mingming Niu
- Departments of Structural Biology and Developmental Neurobiology, St. Jude Children's Research Hospital
| | - Anthony A High
- Center for Proteomics and Metabolomics, St. Jude Children's Research Hospital;
| | - Junmin Peng
- Departments of Structural Biology and Developmental Neurobiology, St. Jude Children's Research Hospital; Center for Proteomics and Metabolomics, St. Jude Children's Research Hospital;
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