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Ghosh G, Shannon AE, Searle BC. Data acquisition approaches for single cell proteomics. Proteomics 2024:e2400022. [PMID: 39088833 DOI: 10.1002/pmic.202400022] [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: 05/18/2024] [Revised: 07/09/2024] [Accepted: 07/10/2024] [Indexed: 08/03/2024]
Abstract
Single-cell proteomics (SCP) aims to characterize the proteome of individual cells, providing insights into complex biological systems. It reveals subtle differences in distinct cellular populations that bulk proteome analysis may overlook, which is essential for understanding disease mechanisms and developing targeted therapies. Mass spectrometry (MS) methods in SCP allow the identification and quantification of thousands of proteins from individual cells. Two major challenges in SCP are the limited material in single-cell samples necessitating highly sensitive analytical techniques and the efficient processing of samples, as each biological sample requires thousands of single cell measurements. This review discusses MS advancements to mitigate these challenges using data-dependent acquisition (DDA) and data-independent acquisition (DIA). Additionally, we examine the use of short liquid chromatography gradients and sample multiplexing methods that increase the sample throughput and scalability of SCP experiments. We believe these methods will pave the way for improving our understanding of cellular heterogeneity and its implications for systems biology.
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Affiliation(s)
- Gautam Ghosh
- Ohio State Biochemistry Program, The Ohio State University, Columbus, Ohio, USA
- Pelotonia Institute for Immuno-Oncology, The Ohio State University Comprehensive Cancer Center, Columbus, Ohio, USA
| | - Ariana E Shannon
- Pelotonia Institute for Immuno-Oncology, The Ohio State University Comprehensive Cancer Center, Columbus, Ohio, USA
- Department of Biomedical Informatics, The Ohio State University Medical Center, Columbus, Ohio, USA
| | - Brian C Searle
- Ohio State Biochemistry Program, The Ohio State University, Columbus, Ohio, USA
- Pelotonia Institute for Immuno-Oncology, The Ohio State University Comprehensive Cancer Center, Columbus, Ohio, USA
- Department of Biomedical Informatics, The Ohio State University Medical Center, Columbus, Ohio, USA
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2
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Tan MS, Cheah PL, Chin AV, Looi LM, Chang SW. A multi-ethnic proteomic profiling analysis in Alzheimer's disease identifies the disparities in dysregulation of proteins and pathogenesis. PeerJ 2024; 12:e17643. [PMID: 39035156 PMCID: PMC11260413 DOI: 10.7717/peerj.17643] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2023] [Accepted: 06/06/2024] [Indexed: 07/23/2024] Open
Abstract
Background Alzheimer's disease (AD) is the most common type of dementia that affects the elderly population. Lately, blood-based proteomics have been intensively sought in the discovery of AD biomarkers studies due to the capability to link external environmental factors with the development of AD. Demographic differences have been shown to affect the expression of the proteins in different populations which play a vital role in the degeneration of cognitive function. Method In this study, a proteomic study focused on Malaysian Chinese and Malay prospects was conducted. Differentially expressed proteins (DEPs) in AD patients and normal controls for Chinese and Malays were identified. Functional enrichment analysis was conducted to further interpret the biological functions and pathways of the DEPs. In addition, a survey investigating behavioural practices among Chinese and Malay participants was conducted to support the results from the proteomic analysis. Result The variation of dysregulated proteins identified in Chinese and Malay samples suggested the disparities of pathways involved in this pathological condition for each respective ethnicity. Functional enrichment analysis supported this assumption in understanding the protein-protein interactions of the identified protein signatures and indicate that differentially expressed proteins identified from the Chinese group were significantly enriched with the functional terms related to Aβ/tau protein-related processes, oxidative stress and inflammation whereas neuroinflammation was associated with the Malay group. Besides that, a significant difference in sweet drinks/food intake habits between these two groups implies a relationship between sugar levels and the dysregulation of protein APOA4 in the Malay group. Additional meta-analysis further supported the dysregulation of proteins TF, AHSG, A1BG, APOA4 and C4A among AD groups. Conclusion These findings serve as a preliminary understanding in the molecular and demographic studies of AD in a multi-ethnic population.
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Affiliation(s)
- Mei Sze Tan
- Bioinformatics Programme, Institute of Biological Sciences, Faculty of Science, Universiti Malaya, Kuala Lumpur, Malaysia
| | - Phaik-Leng Cheah
- Department of Pathology, Faculty of Medicine, Universiti Malaya, Kuala Lumpur, Malaysia
| | - Ai-Vyrn Chin
- Department of Medicine, Faculty of Medicine, Universiti Malaya, Kuala Lumpur, Malaysia
| | - Lai-Meng Looi
- Department of Pathology, Faculty of Medicine, Universiti Malaya, Kuala Lumpur, Malaysia
| | - Siow-Wee Chang
- Bioinformatics Programme, Institute of Biological Sciences, Faculty of Science, Universiti Malaya, Kuala Lumpur, Malaysia
- Centre of Research in System Biology, Structural, Bioinformatics and Human Digital Imaging (CRYSTAL), Universiti Malaya, Kuala Lumpur, Malaysia
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3
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Topitsch A, Halstenbach T, Rothweiler R, Fretwurst T, Nelson K, Schilling O. Mass Spectrometry-Based Proteomics of Poly(methylmethacrylate)-Embedded Bone. J Proteome Res 2024; 23:1810-1820. [PMID: 38634750 DOI: 10.1021/acs.jproteome.4c00046] [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] [Indexed: 04/19/2024]
Abstract
Liquid chromatography-tandem mass spectrometry (LC-MS/MS) is a widely employed technique in proteomics research for studying the proteome biology of various clinical samples. Hard tissues, such as bone and teeth, are routinely preserved using synthetic poly(methyl methacrylate) (PMMA) embedding resins that enable histological, immunohistochemical, and morphological examination. However, the suitability of PMMA-embedded hard tissues for large-scale proteomic analysis remained unexplored. This study is the first to report on the feasibility of PMMA-embedded bone samples for LC-MS/MS analysis. Conventional workflows yielded merely limited coverage of the bone proteome. Using advanced strategies of prefractionation by high-pH reversed-phase liquid chromatography in combination with isobaric tandem mass tag labeling resulted in proteome coverage exceeding 1000 protein identifications. The quantitative comparison with cryopreserved samples revealed that each sample preparation workflow had a distinct impact on the proteomic profile. However, workflow replicates exhibited a high reproducibility for PMMA-embedded samples. Our findings further demonstrate that decalcification prior to protein extraction, along with the analysis of solubilization fractions, is not preferred for PMMA-embedded bone. The biological applicability of the proposed workflow was demonstrated using samples of human PMMA-embedded alveolar bone and the iliac crest, which revealed anatomical site-specific proteomic profiles. Overall, these results establish a crucial foundation for large-scale proteomics studies contributing to our knowledge of bone biology.
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Affiliation(s)
- Annika Topitsch
- Institute for Surgical Pathology, Faculty of Medicine, Medical Center - University of Freiburg, Breisacher Straße 115a, 79106 Freiburg, Germany
- Spemann Graduate School of Biology and Medicine (SGBM), University of Freiburg, Albertstraße 19a, 79104 Freiburg, Germany
- Faculty of Biology, University of Freiburg, Schänzlestraße 1, 79104 Freiburg, Germany
- Department of Oral and Maxillofacial Surgery/Translational Implantology, Faculty of Medicine, Medical Center - University of Freiburg, Hugstetter Straße 55, 79106 Freiburg, Germany
| | - Tim Halstenbach
- Department of Oral and Maxillofacial Surgery/Translational Implantology, Faculty of Medicine, Medical Center - University of Freiburg, Hugstetter Straße 55, 79106 Freiburg, Germany
| | - René Rothweiler
- Department of Oral and Maxillofacial Surgery/Translational Implantology, Faculty of Medicine, Medical Center - University of Freiburg, Hugstetter Straße 55, 79106 Freiburg, Germany
| | - Tobias Fretwurst
- Department of Oral and Maxillofacial Surgery/Translational Implantology, Faculty of Medicine, Medical Center - University of Freiburg, Hugstetter Straße 55, 79106 Freiburg, Germany
| | - Katja Nelson
- Department of Oral and Maxillofacial Surgery/Translational Implantology, Faculty of Medicine, Medical Center - University of Freiburg, Hugstetter Straße 55, 79106 Freiburg, Germany
| | - Oliver Schilling
- Institute for Surgical Pathology, Faculty of Medicine, Medical Center - University of Freiburg, Breisacher Straße 115a, 79106 Freiburg, Germany
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4
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Pade LR, Stepler KE, Portero EP, DeLaney K, Nemes P. Biological mass spectrometry enables spatiotemporal 'omics: From tissues to cells to organelles. MASS SPECTROMETRY REVIEWS 2024; 43:106-138. [PMID: 36647247 PMCID: PMC10668589 DOI: 10.1002/mas.21824] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/30/2022] [Revised: 09/14/2022] [Accepted: 09/17/2022] [Indexed: 06/17/2023]
Abstract
Biological processes unfold across broad spatial and temporal dimensions, and measurement of the underlying molecular world is essential to their understanding. Interdisciplinary efforts advanced mass spectrometry (MS) into a tour de force for assessing virtually all levels of the molecular architecture, some in exquisite detection sensitivity and scalability in space-time. In this review, we offer vignettes of milestones in technology innovations that ushered sample collection and processing, chemical separation, ionization, and 'omics analyses to progressively finer resolutions in the realms of tissue biopsies and limited cell populations, single cells, and subcellular organelles. Also highlighted are methodologies that empowered the acquisition and analysis of multidimensional MS data sets to reveal proteomes, peptidomes, and metabolomes in ever-deepening coverage in these limited and dynamic specimens. In pursuit of richer knowledge of biological processes, we discuss efforts pioneering the integration of orthogonal approaches from molecular and functional studies, both within and beyond MS. With established and emerging community-wide efforts ensuring scientific rigor and reproducibility, spatiotemporal MS emerged as an exciting and powerful resource to study biological systems in space-time.
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Affiliation(s)
- Leena R. Pade
- Department of Chemistry & Biochemistry, University of Maryland, 8051 Regents Drive, College Park, MD 20742
| | - Kaitlyn E. Stepler
- Department of Chemistry & Biochemistry, University of Maryland, 8051 Regents Drive, College Park, MD 20742
| | - Erika P. Portero
- Department of Chemistry & Biochemistry, University of Maryland, 8051 Regents Drive, College Park, MD 20742
| | - Kellen DeLaney
- Department of Chemistry & Biochemistry, University of Maryland, 8051 Regents Drive, College Park, MD 20742
| | - Peter Nemes
- Department of Chemistry & Biochemistry, University of Maryland, 8051 Regents Drive, College Park, MD 20742
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5
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Abdelkader Y, Perez-Davalos L, LeDuc R, Zahedi RP, Labouta HI. Omics approaches for the assessment of biological responses to nanoparticles. Adv Drug Deliv Rev 2023; 200:114992. [PMID: 37414362 DOI: 10.1016/j.addr.2023.114992] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2023] [Revised: 06/08/2023] [Accepted: 07/03/2023] [Indexed: 07/08/2023]
Abstract
Nanotechnology has enabled the development of innovative therapeutics, diagnostics, and drug delivery systems. Nanoparticles (NPs) can influence gene expression, protein synthesis, cell cycle, metabolism, and other subcellular processes. While conventional methods have limitations in characterizing responses to NPs, omics approaches can analyze complete sets of molecular entities that change upon exposure to NPs. This review discusses key omics approaches, namely transcriptomics, proteomics, metabolomics, lipidomics and multi-omics, applied to the assessment of biological responses to NPs. Fundamental concepts and analytical methods used for each approach are presented, as well as good practices for omics experiments. Bioinformatics tools are essential to analyze, interpret and visualize large omics data, and to correlate observations in different molecular layers. The authors envision that conducting interdisciplinary multi-omics analyses in future nanomedicine studies will reveal integrated cell responses to NPs at different omics levels, and the incorporation of omics into the evaluation of targeted delivery, efficacy, and safety will improve the development of nanomedicine therapies.
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Affiliation(s)
- Yasmin Abdelkader
- Unity Health Toronto - St. Michael's Hospital, University of Toronto, 209 Victoria St., Toronto, Ontario M5B 1T8, Canada; College of Pharmacy, Apotex Centre, University of Manitoba, 750 McDermot Av. W, Winnipeg, Manitoba R3E 0T5, Canada; Department of Cell Biology, Biotechnology Research Institute, National Research Centre, 33 El Buhouth St., Cairo 12622, Egypt
| | - Luis Perez-Davalos
- Unity Health Toronto - St. Michael's Hospital, University of Toronto, 209 Victoria St., Toronto, Ontario M5B 1T8, Canada; College of Pharmacy, Apotex Centre, University of Manitoba, 750 McDermot Av. W, Winnipeg, Manitoba R3E 0T5, Canada
| | - Richard LeDuc
- Children's Hospital Research Institute of Manitoba, 513 - 715 McDermot Av. W, Winnipeg, Manitoba R3E 3P4, Canada; Department of Biochemistry and Medical Genetics, University of Manitoba, 745 Bannatyne Av., Winnipeg, Manitoba R3E 0J9, Canada
| | - Rene P Zahedi
- Department of Biochemistry and Medical Genetics, University of Manitoba, 745 Bannatyne Av., Winnipeg, Manitoba R3E 0J9, Canada; Department of Internal Medicine, 715 McDermot Av., Winnipeg, Manitoba R3E 3P4, Canada; Manitoba Centre for Proteomics and Systems Biology, 799 JBRC, 715 McDermot Av., Winnipeg, Manitoba R3E 3P4, Canada; CancerCare Manitoba Research Institute, 675 McDermot Av., Manitoba R3E 0V9, Canada
| | - Hagar I Labouta
- Unity Health Toronto - St. Michael's Hospital, University of Toronto, 209 Victoria St., Toronto, Ontario M5B 1T8, Canada; College of Pharmacy, Apotex Centre, University of Manitoba, 750 McDermot Av. W, Winnipeg, Manitoba R3E 0T5, Canada; Leslie Dan Faculty of Pharmacy, University of Toronto, 144 College St., Toronto, Ontario M5S 3M2, Canada; Institute of Biomaterials and Biomedical Engineering, University of Toronto, Toronto, Ontario, M5S 3G9, Canada; Faculty of Pharmacy, Alexandria University, 1 Khartoum Square, Azarita, Alexandria, Egypt, 21521.
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6
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Gräwe C, Hernandez-Quiles M, Jansen PWTC, Brimmers A, Vermeulen M. Determining DNA-Protein Binding Affinities and Specificities from Crude Lysates Using a Combined SILAC/TMT Labeling Strategy. J Proteome Res 2023; 22:2683-2693. [PMID: 37466164 PMCID: PMC10407929 DOI: 10.1021/acs.jproteome.3c00248] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2023] [Indexed: 07/20/2023]
Abstract
In recent years, quantitative mass spectrometry-based interaction proteomics technology has proven very useful in identifying specific DNA-protein interactions using single pull-downs from crude lysates. Here, we applied a SILAC/TMT-based higher-order multiplexing approach to develop an interaction proteomics workflow called Protein-nucleic acid Affinity and Specificity quantification by MAss spectrometry in Nuclear extracts or PASMAN. In PASMAN, DNA pull-downs using a concentration range of specific and control DNA baits are performed in SILAC-labeled nuclear extracts. MS1-based quantification to determine specific DNA-protein interactions is then combined with sequential TMT-based quantification of fragmented SILAC peptides, allowing the generation of Hill-like curves and determination of apparent binding affinities. We benchmarked PASMAN using the SP/KLF motif and further applied it to gain insights into two CGCG-containing consensus DNA motifs. These motifs are recognized by two BEN domain-containing proteins, BANP and BEND3, which we find to interact with these motifs with distinct affinities. Finally, we profiled the BEND3 proximal proteome, revealing the NuRD complex as the major BEND3 proximal protein complex in vivo. In summary, PASMAN represents, to our knowledge, the first higher-order multiplexing-based interaction proteomics method that can be used to decipher specific DNA-protein interactions and their apparent affinities in various biological and pathological contexts.
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Affiliation(s)
- Cathrin Gräwe
- Department
of Molecular Biology, Faculty of Science, Radboud Institute for Molecular Life Sciences, Oncode Institute,
Radboud University Nijmegen, 6525 GA Nijmegen, The Netherlands
| | - Miguel Hernandez-Quiles
- Department
of Molecular Biology, Faculty of Science, Radboud Institute for Molecular Life Sciences, Oncode Institute,
Radboud University Nijmegen, 6525 GA Nijmegen, The Netherlands
- Division
of Molecular Genetics, The Netherlands Cancer
Institute, 1066CX Amsterdam, the Netherlands
| | - Pascal W. T. C. Jansen
- Department
of Molecular Biology, Faculty of Science, Radboud Institute for Molecular Life Sciences, Oncode Institute,
Radboud University Nijmegen, 6525 GA Nijmegen, The Netherlands
| | - Annika Brimmers
- Department
of Molecular Biology, Faculty of Science, Radboud Institute for Molecular Life Sciences, Oncode Institute,
Radboud University Nijmegen, 6525 GA Nijmegen, The Netherlands
| | - Michiel Vermeulen
- Department
of Molecular Biology, Faculty of Science, Radboud Institute for Molecular Life Sciences, Oncode Institute,
Radboud University Nijmegen, 6525 GA Nijmegen, The Netherlands
- Division
of Molecular Genetics, The Netherlands Cancer
Institute, 1066CX Amsterdam, the Netherlands
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7
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Révész Á, Hevér H, Steckel A, Schlosser G, Szabó D, Vékey K, Drahos L. Collision energies: Optimization strategies for bottom-up proteomics. MASS SPECTROMETRY REVIEWS 2023; 42:1261-1299. [PMID: 34859467 DOI: 10.1002/mas.21763] [Citation(s) in RCA: 14] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/11/2021] [Revised: 11/17/2021] [Accepted: 11/17/2021] [Indexed: 06/07/2023]
Abstract
Mass-spectrometry coupled to liquid chromatography is an indispensable tool in the field of proteomics. In the last decades, more and more complex and diverse biochemical and biomedical questions have arisen. Problems to be solved involve protein identification, quantitative analysis, screening of low abundance modifications, handling matrix effect, and concentrations differing by orders of magnitude. This led the development of more tailored protocols and problem centered proteomics workflows, including advanced choice of experimental parameters. In the most widespread bottom-up approach, the choice of collision energy in tandem mass spectrometric experiments has outstanding role. This review presents the collision energy optimization strategies in the field of proteomics which can help fully exploit the potential of MS based proteomics techniques. A systematic collection of use case studies is then presented to serve as a starting point for related further scientific work. Finally, this article discusses the issue of comparing results from different studies or obtained on different instruments, and it gives some hints on methodology transfer between laboratories based on measurement of reference species.
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Affiliation(s)
- Ágnes Révész
- MS Proteomics Research Group, Institute of Organic Chemistry, Research Centre for Natural Sciences, Budapest, Hungary
| | - Helga Hevér
- Chemical Works of Gedeon Richter Plc, Budapest, Hungary
| | - Arnold Steckel
- Department of Analytical Chemistry, MTA-ELTE Lendület Ion Mobility Mass Spectrometry Research Group, Institute of Chemistry, ELTE Eötvös Loránd University, Budapest, Hungary
| | - Gitta Schlosser
- Department of Analytical Chemistry, MTA-ELTE Lendület Ion Mobility Mass Spectrometry Research Group, Institute of Chemistry, ELTE Eötvös Loránd University, Budapest, Hungary
| | - Dániel Szabó
- MS Proteomics Research Group, Institute of Organic Chemistry, Research Centre for Natural Sciences, Budapest, Hungary
| | - Károly Vékey
- MS Proteomics Research Group, Institute of Organic Chemistry, Research Centre for Natural Sciences, Budapest, Hungary
| | - László Drahos
- MS Proteomics Research Group, Institute of Organic Chemistry, Research Centre for Natural Sciences, Budapest, Hungary
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8
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Bowser BL, Robinson RAS. Enhanced Multiplexing Technology for Proteomics. ANNUAL REVIEW OF ANALYTICAL CHEMISTRY (PALO ALTO, CALIF.) 2023; 16:379-400. [PMID: 36854207 DOI: 10.1146/annurev-anchem-091622-092353] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
The identification of thousands of proteins and their relative levels of expression has furthered understanding of biological processes and disease and stimulated new systems biology hypotheses. Quantitative proteomics workflows that rely on analytical assays such as mass spectrometry have facilitated high-throughput measurements of proteins partially due to multiplexing. Multiplexing allows proteome differences across multiple samples to be measured simultaneously, resulting in more accurate quantitation, increased statistical robustness, reduced analysis times, and lower experimental costs. The number of samples that can be multiplexed has evolved from as few as two to more than 50, with studies involving more than 10 samples being denoted as enhanced multiplexing or hyperplexing. In this review, we give an update on emerging multiplexing proteomics techniques and highlight advantages and limitations for enhanced multiplexing strategies.
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Affiliation(s)
- Bailey L Bowser
- Department of Chemistry, Vanderbilt University, Nashville, Tennessee, USA;
| | - Renã A S Robinson
- Department of Chemistry, Vanderbilt University, Nashville, Tennessee, USA;
- Department of Neurology, Vanderbilt University Medical Center, Vanderbilt University, Nashville, Tennessee, USA
- Vanderbilt Memory and Alzheimer's Center, Nashville, Tennessee, USA
- Vanderbilt Institute of Chemical Biology, Vanderbilt School of Medicine, Nashville, Tennessee, USA
- Vanderbilt Brain Institute, Vanderbilt School of Medicine, Nashville, Tennessee, USA
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9
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Patterson KL, Arul AB, Choi MJ, Oliver NC, Whitaker MD, Bodrick AC, Libby JB, Hansen S, Dumitrescu L, Gifford KA, Jefferson AL, Hohman TJ, Robinson RAS. Establishing Quality Control Procedures for Large-Scale Plasma Proteomics Analyses. JOURNAL OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY 2023. [PMID: 37163770 DOI: 10.1021/jasms.3c00050] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/12/2023]
Abstract
Proteomics research has been transformed due to high-throughput liquid chromatography (LC-MS/MS) tandem mass spectrometry instruments combined with highly sophisticated automated sample preparation and multiplexing workflows. However, scaling proteomics experiments to large sample cohorts (hundreds to thousands) requires thoughtful quality control (QC) protocols. Robust QC protocols can help with reproducibility, quantitative accuracy, and provide opportunities for more decisive troubleshooting. Our laboratory conducted a plasma proteomics study of a cohort of N = 335 patient samples using tandem mass tag (TMTpro) 16-plex batches. Over the course of a 10-month data acquisition period for this cohort we collected 271 pooled QC LC-MS/MS result files obtained from MS/MS analysis of a patient-derived pooled plasma sample, representative of the entire cohort population. This sample was tagged with TMTzero or TMTpro reagents and used to inform the daily performance of the LC-MS/MS instruments and to allow within and across sample batch normalization. Analytical variability of a number of instrumental and data analysis metrics including protein and peptide identifications, peptide spectral matches (PSMs), number of obtained MS/MS spectra, average peptide abundance, percent of peptides with a Δ m/z between ±0.003 Da, percent of MS/MS spectra obtained at the maximum injection time, and the retention time of selected tracking peptides were evaluated to help inform the design of a robust LC-MS/MS QC workflow for use in future cohort studies. This study also led to general tips for using selected metrics to inform real-time troubleshooting of LC-MS/MS performance issues with daily QC checks.
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Affiliation(s)
- Khiry L Patterson
- Department of Chemistry, Vanderbilt University, Nashville, Tennessee 37235, United States
| | - Albert B Arul
- Department of Chemistry, Vanderbilt University, Nashville, Tennessee 37235, United States
| | - Min Ji Choi
- Department of Chemistry, Vanderbilt University, Nashville, Tennessee 37235, United States
| | - Nekesa C Oliver
- Department of Chemistry, Vanderbilt University, Nashville, Tennessee 37235, United States
| | - Marsalas D Whitaker
- Department of Chemistry, Vanderbilt University, Nashville, Tennessee 37235, United States
| | - Angel C Bodrick
- Department of Chemistry, Vanderbilt University, Nashville, Tennessee 37235, United States
- Department of Biochemistry, Cancer Biology, Neuroscience, and Pharmacology, Meharry Medical College, Nashville, Tennessee 37208, United States
| | - Julia B Libby
- Department of Neurology, Vanderbilt University Medical Center, Nashville, Tennessee 37232, United States
| | - Shania Hansen
- Vanderbilt Memory and Alzheimer's Center, Vanderbilt University Medical Center, Nashville, Tennessee 37212, United States
| | - Logan Dumitrescu
- Department of Neurology, Vanderbilt University Medical Center, Nashville, Tennessee 37232, United States
| | - Katherine A Gifford
- Department of Neurology, Vanderbilt University Medical Center, Nashville, Tennessee 37232, United States
- Vanderbilt Memory and Alzheimer's Center, Vanderbilt University Medical Center, Nashville, Tennessee 37212, United States
| | - Angela L Jefferson
- Department of Neurology, Vanderbilt University Medical Center, Nashville, Tennessee 37232, United States
- Vanderbilt Brain Institute, Vanderbilt University Medical Center, Nashville, Tennessee 37232, United States
| | - Timothy J Hohman
- Vanderbilt Memory and Alzheimer's Center, Vanderbilt University Medical Center, Nashville, Tennessee 37212, United States
- Vanderbilt Brain Institute, Vanderbilt University Medical Center, Nashville, Tennessee 37232, United States
| | - Renã A S Robinson
- Department of Chemistry, Vanderbilt University, Nashville, Tennessee 37235, United States
- Vanderbilt Institute of Chemical Biology, Vanderbilt University, Nashville, Tennessee 37232, United States
- Vanderbilt Brain Institute, Vanderbilt University Medical Center, Nashville, Tennessee 37232, United States
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10
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Tian X, Permentier HP, Bischoff R. Chemical isotope labeling for quantitative proteomics. MASS SPECTROMETRY REVIEWS 2023; 42:546-576. [PMID: 34091937 PMCID: PMC10078755 DOI: 10.1002/mas.21709] [Citation(s) in RCA: 15] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/29/2021] [Revised: 03/22/2021] [Accepted: 05/17/2021] [Indexed: 05/05/2023]
Abstract
Advancements in liquid chromatography and mass spectrometry over the last decades have led to a significant development in mass spectrometry-based proteome quantification approaches. An increasingly attractive strategy is multiplex isotope labeling, which significantly improves the accuracy, precision and throughput of quantitative proteomics in the data-dependent acquisition mode. Isotope labeling-based approaches can be classified into MS1-based and MS2-based quantification. In this review, we give an overview of approaches based on chemical isotope labeling and discuss their principles, benefits, and limitations with the goal to give insights into fundamental questions and provide a useful reference for choosing a method for quantitative proteomics. As a perspective, we discuss the current possibilities and limitations of multiplex, isotope labeling approaches for the data-independent acquisition mode, which is increasing in popularity.
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Affiliation(s)
- Xiaobo Tian
- Department of Analytical Biochemistry and Interfaculty Mass Spectrometry Center, Groningen Research Institute of PharmacyUniversity of GroningenGroningenThe Netherlands
| | - Hjalmar P. Permentier
- Department of Analytical Biochemistry and Interfaculty Mass Spectrometry Center, Groningen Research Institute of PharmacyUniversity of GroningenGroningenThe Netherlands
| | - Rainer Bischoff
- Department of Analytical Biochemistry and Interfaculty Mass Spectrometry Center, Groningen Research Institute of PharmacyUniversity of GroningenGroningenThe Netherlands
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11
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Insights into protein post-translational modification landscapes of individual human cells by trapped ion mobility time-of-flight mass spectrometry. Nat Commun 2022; 13:7246. [PMID: 36433961 PMCID: PMC9700839 DOI: 10.1038/s41467-022-34919-w] [Citation(s) in RCA: 29] [Impact Index Per Article: 14.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2022] [Accepted: 11/11/2022] [Indexed: 11/26/2022] Open
Abstract
Single cell proteomics is a powerful tool with potential for markedly enhancing understanding of cellular processes. Here we report the development and application of multiplexed single cell proteomics using trapped ion mobility time-of-flight mass spectrometry. When employing a carrier channel to improve peptide signal, this method allows over 40,000 tandem mass spectra to be acquired in 30 min. Using a KRASG12C model human-derived cell line, we demonstrate the quantification of over 1200 proteins per cell with high relative sequence coverage permitting the detection of multiple classes of post-translational modifications in single cells. When cells were treated with a KRASG12C covalent inhibitor, this approach revealed cell-to-cell variability in the impact of the drug, providing insight missed by traditional proteomics. We provide multiple resources necessary for the application of single cell proteomics to drug treatment studies including tools to reduce cell cycle linked proteomic effects from masking pharmacological phenotypes.
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12
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Wu Z, Shen Y, Zhang X. TAG-TMTpro, a Hyperplexing Quantitative Approach for High-Throughput Proteomic Studies. Anal Chem 2022; 94:12565-12569. [PMID: 36066113 DOI: 10.1021/acs.analchem.2c02099] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
Isobaric labeling is the most widely used multiplexing quantitative approach in proteomic studies, enabling the comparison of up to 18 samples in a single MS analysis. Expanding the multiplexing capacity is of great necessity for high-throughput proteomic studies. Herein, we establish a novel TAG-TMTpro approach by introducing Ala or Gly residues to peptides prior to TMTpro labeling, which is able to triple the quantitative capacity of TMTpro. We systematically evaluated the Boc-Ala-OSu and Boc-Gly-OSu reaction and optimized the conditions for labeling, side-product elimination, and Boc deprotection. We validated the identification and quantification performance using E. coli and HeLa cell lysates. We demonstrated that the TAG-TMTpro approach resulted in good identification reproducibility and reliable quantitative accuracy. The TAG-TMTpro is able to triple the multiplexing capacity of TMTpro reagents and is a versatile quantitative approach for high-throughput proteomic studies. Data are available via ProteomeXchange with identifier PXD033711.
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Affiliation(s)
- Zhen Wu
- State Key Laboratory of Genetic Engineering, Department of Biochemistry and Biophysics, School of Life Sciences, Fudan University, Shanghai 200438, China
| | - Yi Shen
- State Key Laboratory of Genetic Engineering, Department of Biochemistry and Biophysics, School of Life Sciences, Fudan University, Shanghai 200438, China
| | - Xumin Zhang
- State Key Laboratory of Genetic Engineering, Department of Biochemistry and Biophysics, School of Life Sciences, Fudan University, Shanghai 200438, China
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13
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Li R, Bhandari S, Martinez-Zubiaurre I, Bruun JA, Urbarova I, Smedsrød B, Simón-Santamaría J, Sørensen KK. Changes in the proteome and secretome of rat liver sinusoidal endothelial cells during early primary culture and effects of dexamethasone. PLoS One 2022; 17:e0273843. [PMID: 36054185 PMCID: PMC9439253 DOI: 10.1371/journal.pone.0273843] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2021] [Accepted: 08/16/2022] [Indexed: 11/28/2022] Open
Abstract
Introduction Liver sinusoidal endothelial cells (LSECs) are specialized fenestrated scavenger endothelial cells involved in the elimination of modified plasma proteins and tissue turnover waste macromolecules from blood. LSECs also participate in liver immune responses. A challenge when studying LSEC biology is the rapid loss of the in vivo phenotype in culture. In this study, we have examined biological processes and pathways affected during early-stage primary culture of rat LSECs and checked for cell responses to the pro-inflammatory cytokine interleukin (IL)-1β and the anti-inflammatory drug dexamethasone. Methods LSECs from male Sprague Dawley rats were cultured on type I collagen in 5% oxygen atmosphere in DMEM with serum-free supplements for 2 and 24 h. Quantitative proteomics using tandem mass tag technology was used to examine proteins in cells and supernatants. Validation was done with qPCR, ELISA, multiplex immunoassay, and caspase 3/7 assay. Cell ultrastructure was examined by scanning electron microscopy, and scavenger function by quantitative endocytosis assays. Results LSECs cultured for 24 h showed a characteristic pro-inflammatory phenotype both in the presence and absence of IL-1β, with upregulation of cellular responses to cytokines and interferon-γ, cell-cell adhesion, and glycolysis, increased expression of fatty acid binding proteins (FABP4, FABP5), and downregulation of several membrane receptors (STAB1, STAB2, LYVE1, CLEC4G) and proteins in pyruvate metabolism, citric acid cycle, fatty acid elongation, amino acid metabolism, and oxidation-reduction processes. Dexamethasone inhibited apoptosis and improved LSEC viability in culture, repressed inflammatory and immune regulatory pathways and secretion of IL-1β and IL-6, and further upregulated FABP4 and FABP5 compared to time-matched controls. The LSEC porosity and endocytic activity were reduced at 24 h both with and without dexamethasone but the dexamethasone-treated cells showed a less stressed phenotype. Conclusion Rat LSECs become activated towards a pro-inflammatory phenotype during early culture. Dexamethasone represses LSEC activation, inhibits apoptosis, and improves cell viability.
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Affiliation(s)
- Ruomei Li
- Department of Medical Biology, UiT–The Arctic University of Norway, Tromsø, Norway
| | - Sabin Bhandari
- Department of Medical Biology, UiT–The Arctic University of Norway, Tromsø, Norway
| | | | - Jack-Ansgar Bruun
- Department of Medical Biology, UiT–The Arctic University of Norway, Tromsø, Norway
| | - Ilona Urbarova
- Department of Community Medicine, UiT–The Arctic University of Norway, Tromsø, Norway
| | - Bård Smedsrød
- Department of Medical Biology, UiT–The Arctic University of Norway, Tromsø, Norway
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14
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Armbruster M, Grady SF, Arnatt CK, Edwards JL. Isobaric 4-Plex Tagging for Absolute Quantitation of Biological Acids in Diabetic Urine Using Capillary LC-MS/MS. ACS MEASUREMENT SCIENCE AU 2022; 2:287-295. [PMID: 35726255 PMCID: PMC9204807 DOI: 10.1021/acsmeasuresciau.1c00061] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/22/2021] [Revised: 02/21/2022] [Accepted: 02/22/2022] [Indexed: 06/15/2023]
Abstract
Isobaric labeling in mass spectrometry enables multiplexed absolute quantitation and high throughput, while minimizing full scan spectral complexity. Here, we use 4-plex isobaric labeling with a fixed positive charge tag to improve quantitation and throughput for polar carboxylic acid metabolites. The isobaric tag uses an isotope-encoded neutral loss to create mass-dependent reporters spaced 2 Da apart and was validated for both single- and double-tagged analytes. Tags were synthesized in-house using deuterated formaldehyde and methyl iodide in a total of four steps, producing cost-effective multiplexing. No chromatographic deuterium shifts were observed for single- or double-tagged analytes, producing consistent reporter ratios across each peak. Perfluoropentanoic acid was added to the sample to drastically increase retention of double-tagged analytes on a C18 column. Excess tag was scavenged and extracted using hexadecyl chloroformate after reaction completion. This allowed for removal of excess tag that typically causes ion suppression and column overloading. A total of 54 organic acids were investigated, producing an average linearity of 0.993, retention time relative standard deviation (RSD) of 0.58%, and intensity RSD of 12.1%. This method was used for absolute quantitation of acid metabolites comparing control and type 1 diabetic urine. Absolute quantitation of organic acids was achieved by using one isobaric lane for standards, thereby allowing for analysis of six urine samples in two injections. Quantified acids showed good agreement with previous work, and six significant changes were found. Overall, this method demonstrated 4-plex absolute quantitation of acids in a complex biological sample.
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15
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Gabriel W, Giurcoiu V, Lautenbacher L, Wilhelm M. Predicting fragment intensities and retention time of iTRAQ- and TMTPro-labeled peptides with Prosit-TMT. Proteomics 2022; 22:e2100257. [PMID: 35578405 DOI: 10.1002/pmic.202100257] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2022] [Revised: 04/22/2022] [Accepted: 05/05/2022] [Indexed: 11/08/2022]
Abstract
Isobaric labeling increases the throughput of proteomics by enabling the parallel identification and quantification of peptides and proteins. Over the past decades, a variety of isobaric tags have been developed allowing the multiplexed analysis of up to 18 samples. However, experiments utilizing such tags often exhibit reduced identification rates and thus show decreased analytical depth. Re-scoring has been shown to rescue otherwise missed identifications but was not yet systematically applied on isobarically labeled data. Because iTRAQ 4/8-plex and the recently released TMTpro 16/18-plex share similar characteristics with TMT 6/10/11-plex, we hypothesized that Prosit-TMT, trained exclusively on 6/10/11-plex labeled peptides, may be applicable to these isobaric labeling strategies as well. To investigate this, we re-analyzed nine publicly available datasets covering iTRAQ and TMTpro labeling for samples with human and mouse origin. We highlight that Prosit-TMT shows remarkably good performance when comparing experimentally acquired and predicted fragmentation spectra (R of 0.84 - 0.9) and retention times (ΔRT95% of 3 - 10% gradient time) of peptides. Furthermore, re-scoring substantially increases the number of confidently identified spectra, peptides, and proteins. This article is protected by copyright. All rights reserved.
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Affiliation(s)
- Wassim Gabriel
- Computational Mass Spectrometry, Technical University of Munich, Freising, Germany
| | - Victor Giurcoiu
- Computational Mass Spectrometry, Technical University of Munich, Freising, Germany
| | - Ludwig Lautenbacher
- Computational Mass Spectrometry, Technical University of Munich, Freising, Germany
| | - Mathias Wilhelm
- Computational Mass Spectrometry, Technical University of Munich, Freising, Germany
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16
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Gabriel W, The M, Zolg DP, Bayer FP, Shouman O, Lautenbacher L, Schnatbaum K, Zerweck J, Knaute T, Delanghe B, Huhmer A, Wenschuh H, Reimer U, Médard G, Kuster B, Wilhelm M. Prosit-TMT: Deep Learning Boosts Identification of TMT-Labeled Peptides. Anal Chem 2022; 94:7181-7190. [PMID: 35549156 DOI: 10.1021/acs.analchem.1c05435] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
The prediction of fragment ion intensities and retention time of peptides has gained significant attention over the past few years. However, the progress shown in the accurate prediction of such properties focused primarily on unlabeled peptides. Tandem mass tags (TMT) are chemical peptide labels that are coupled to free amine groups usually after protein digestion to enable the multiplexed analysis of multiple samples in bottom-up mass spectrometry. It is a standard workflow in proteomics ranging from single-cell to high-throughput proteomics. Particularly for TMT, increasing the number of confidently identified spectra is highly desirable as it provides identification and quantification information with every spectrum. Here, we report on the generation of an extensive resource of synthetic TMT-labeled peptides as part of the ProteomeTools project and present the extension of the deep learning model Prosit to accurately predict the retention time and fragment ion intensities of TMT-labeled peptides with high accuracy. Prosit-TMT supports CID and HCD fragmentation and ion trap and Orbitrap mass analyzers in a single model. Reanalysis of published TMT data sets show that this single model extracts substantial additional information. Applying Prosit-TMT, we discovered that the expression of many proteins in human breast milk follows a distinct daily cycle which may prime the newborn for nutritional or environmental cues.
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Affiliation(s)
- Wassim Gabriel
- Computational Mass Spectrometry, Technical University of Munich, 85354 Freising, Germany
| | - Matthew The
- Chair of Proteomics and Bioanalytics, Technical University of Munich, 85354 Freising, Germany
| | - Daniel P Zolg
- Chair of Proteomics and Bioanalytics, Technical University of Munich, 85354 Freising, Germany
| | - Florian P Bayer
- Chair of Proteomics and Bioanalytics, Technical University of Munich, 85354 Freising, Germany
| | - Omar Shouman
- Computational Mass Spectrometry, Technical University of Munich, 85354 Freising, Germany
| | - Ludwig Lautenbacher
- Computational Mass Spectrometry, Technical University of Munich, 85354 Freising, Germany
| | | | | | - Tobias Knaute
- JPT Peptide Technologies GmbH, 12489 Berlin, Germany
| | | | - Andreas Huhmer
- Thermo Fisher Scientific, San Jose, California 95134, United States
| | | | - Ulf Reimer
- JPT Peptide Technologies GmbH, 12489 Berlin, Germany
| | - Guillaume Médard
- Chair of Proteomics and Bioanalytics, Technical University of Munich, 85354 Freising, Germany
| | - Bernhard Kuster
- Chair of Proteomics and Bioanalytics, Technical University of Munich, 85354 Freising, Germany.,Bavarian Center for Biomolecular Mass Spectrometry, 85354 Freising, Germany
| | - Mathias Wilhelm
- Computational Mass Spectrometry, Technical University of Munich, 85354 Freising, Germany
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17
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Neutron encoded derivatization of endothelial cell lysates for quantitation of aldehyde metabolites using nESI-LC-HRMS. Anal Chim Acta 2022; 1190:339260. [PMID: 34857138 PMCID: PMC8646956 DOI: 10.1016/j.aca.2021.339260] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2021] [Revised: 10/27/2021] [Accepted: 11/06/2021] [Indexed: 01/17/2023]
Abstract
Biological aldehydes are difficult to analyze by electrospray ionization mass spectrometry due to their poor proton affinity and low biological concentrations. Chemical derivatization with stable isotope tags is used here for sample multiplexing, increased throughput, improved signal intensity, and quantitation. Nine quaternary amine tags with mass differences as low as 0.0058 Da had no observable chromatographic shifts, small amounts of ion suppression, and minimal matrix effects. Low concentration perfluoropentanoic acid was used as an ion pairing reagent to improve the retention of derivatized aldehydes. Perfluoropentanoic acid addition showed an average of three-fold improvement in limits of detection, 50% reduction in peak width, and 2.5 fold increase in analyte retention. Analysis of fifteen tagged aldehydes yielded an average of 13 nM limit of detection, 9 %RSD, R2 of 0.995, and linear dynamic range of 40-1000 nM. In a single 20 min separation, absolute quantitative data was obtained for 11 reactive aldehydes across 8 aortic endothelial cell samples. High glucose treatment produced significant changes to malondialdehyde, decanal, and (2E)-hexadecenal. These changes are consistent with glucose-induced oxidative stress. This method demonstrates that neutron encoded tagging of aldehydes is suitable for the analysis of complex samples.
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18
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Babu N, Bhat MY, John AE, Chatterjee A. The role of proteomics in the multiplexed analysis of gene alterations in human cancer. Expert Rev Proteomics 2021; 18:737-756. [PMID: 34602018 DOI: 10.1080/14789450.2021.1984884] [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: 10/20/2022]
Abstract
INTRODUCTION Proteomics has played a pivotal role in identifying proteins perturbed in disease conditions when compared with healthy samples. Study of dysregulated proteins aids in identifying diagnostic markers and potential therapeutic targets. Cancer is an outcome of interplay of several such disarrayed proteins and molecular pathways which perturb cellular homeostasis, resulting in transformation. In this review, we discuss various facets of proteomic approaches, including tools and technological advancements, aiding in understanding differentially expressed molecules and signaling mechanisms. AREAS COVERED In this review, we have taken the approach of documenting the different methods of proteomic studies, ranging from labeling techniques, data analysis methods, and the nature of molecule detected. We summarize each technique and provide a glimpse of cancer research carried out using them, highlighting the advantages and drawbacks in comparison with others. Literature search using online resources, such as PubMed and Google Scholar were carried out for this approach. EXPERT OPINION Technological advancements in proteomics studies have come a long way from the study of two-dimensional mapping of proteins separated on gels in the early 1970s. Higher precision in molecular identification and quantification (high throughput), and greater number of samples analyzed have been the focus of researchers.
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Affiliation(s)
- Niraj Babu
- Institute of Bioinformatics, International Technology Park, Bangalore, Bangalore, 560066, India.,Manipal Academy of Higher Education (MAHE), Manipal, India
| | - Mohd Younis Bhat
- Institute of Bioinformatics, International Technology Park, Bangalore, Bangalore, 560066, India
| | | | - Aditi Chatterjee
- Institute of Bioinformatics, International Technology Park, Bangalore, Bangalore, 560066, India.,Manipal Academy of Higher Education (MAHE), Manipal, India
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19
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Xing S, Pai A, Wu R, Lu Y. NHS-Ester Tandem Labeling in One Pot Enables 48-Plex Quantitative Proteomics. Anal Chem 2021; 93:12827-12832. [PMID: 34529408 DOI: 10.1021/acs.analchem.1c01314] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
Stable-isotope labeling strategies are extensively used for multiplex quantitative proteomics. Hybrid-isotope labeling strategies that combine the use of isotopic mass difference labeling and isobaric tags can greatly increase sample multiplexity. In this work, we present a novel hybrid-isotope labeling approach that we termed NHS-ester tandem labeling in one pot (NETLOP). We first optimized 16-plex isobaric TMTpro labeling of lysine residues followed by 2-plex or 3-plex isotopic mTRAQ labeling of peptide N-termini, both of which with commercially available NHS-ester reactive reagents. We then demonstrated the utility of the NETLOP approach by labeling HeLa cell samples and performing proof-of-principle quantitative 32-plex and 48-plex proteomic analyses, each in a single LC-MS/MS experiment. Compared to current hybrid-isotope labeling methods, our NETLOP approach requires no sample cleanup between different labeling steps to minimize sample loss, induces no retention time shifts that compromise quantification accuracy, can be adapted to other NHS-ester isotopic labeling reagents to further increase multiplexity, and is compatible with samples from any origin in a wide array of biological and clinical proteomics applications.
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Affiliation(s)
- Sansi Xing
- Department of Biochemistry and Biomedical Sciences, McMaster University, Michael G. DeGroote Centre for Learning and Centre, Room 5033, 1280 Main Street West, Hamilton, ON L8S 4K1, Canada
| | - Akshat Pai
- Department of Biochemistry and Biomedical Sciences, McMaster University, Michael G. DeGroote Centre for Learning and Centre, Room 5033, 1280 Main Street West, Hamilton, ON L8S 4K1, Canada
| | - Ruilin Wu
- Department of Biochemistry and Biomedical Sciences, McMaster University, Michael G. DeGroote Centre for Learning and Centre, Room 5033, 1280 Main Street West, Hamilton, ON L8S 4K1, Canada
| | - Yu Lu
- Department of Biochemistry and Biomedical Sciences, McMaster University, Michael G. DeGroote Centre for Learning and Centre, Room 5033, 1280 Main Street West, Hamilton, ON L8S 4K1, Canada
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20
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Sun F, Suttapitugsakul S, Wu R. An Azo Coupling-Based Chemoproteomic Approach to Systematically Profile the Tyrosine Reactivity in the Human Proteome. Anal Chem 2021; 93:10334-10342. [PMID: 34251175 PMCID: PMC8525517 DOI: 10.1021/acs.analchem.1c01935] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/23/2023]
Abstract
The tyrosine residue of proteins participates in a wide range of activities including enzymatic catalysis, protein-protein interaction, and protein-ligand binding. However, the functional annotation of the tyrosine residues on a large scale is still very challenging. Here, we report a novel method integrating azo coupling, bioorthogonal chemistry, and multiplexed proteomics to globally investigate the tyrosine reactivity in the human proteome. Based on the azo-coupling reaction between aryl diazonium salt and the tyrosine residue, two different probes were evaluated, and the probe with the best performance was employed to further study the tyrosine residues in the human proteome. Then, tagged tyrosine-containing peptides were selectively enriched using bioorthogonal chemistry, and after the cleavage, a small tag on the peptides perfectly fits for site-specific analysis by MS. Coupling with multiplexed proteomics, we quantified over 5000 tyrosine sites in MCF7 cells, and these quantified sites displayed a wide range of reactivity. The tyrosine residues with high reactivity were found on functionally and structurally diverse proteins, including those with the catalytic activity and binding property. This method can be extensively applied to advance our understanding of protein functions and facilitate the development of covalent drugs to regulate protein activity.
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Affiliation(s)
- Fangxu Sun
- School of Chemistry and Biochemistry and the Petit Institute for Bioengineering and Bioscience, Georgia Institute of Technology, Atlanta, Georgia 30332, United States
| | - Suttipong Suttapitugsakul
- School of Chemistry and Biochemistry and the Petit Institute for Bioengineering and Bioscience, Georgia Institute of Technology, Atlanta, Georgia 30332, United States
| | - Ronghu Wu
- School of Chemistry and Biochemistry and the Petit Institute for Bioengineering and Bioscience, Georgia Institute of Technology, Atlanta, Georgia 30332, United States
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21
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Michiels TJM, van Veen MA, Meiring HD, Jiskoot W, Kersten GFA, Metz B. Common Reference-Based Tandem Mass Tag Multiplexing for the Relative Quantification of Peptides: Design and Application to Degradome Analysis of Diphtheria Toxoid. JOURNAL OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY 2021; 32:1490-1497. [PMID: 33983728 PMCID: PMC8176455 DOI: 10.1021/jasms.1c00070] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/23/2021] [Revised: 04/23/2021] [Accepted: 04/23/2021] [Indexed: 06/12/2023]
Abstract
Currently, animal tests are being used to confirm the potency and lack of toxicity of toxoid vaccines. In a consistency approach, animal tests could be replaced if production consistency (compared to known good products) can be proven in a panel of in vitro assays. By mimicking the in vivo antigen processing in a simplified in vitro approach, it may be possible to distinguish aberrant products from good products. To demonstrate this, heat-exposed diphtheria toxoid was subjected to partial digestion by cathepsin S (an endoprotease involved in antigen processing), and the peptide formation/degradation kinetics were mapped for various heated toxoids. To overcome the limitations associated with the very large number of samples, we used common reference-based tandem mass tag (TMT) labeling. Instead of using one label per condition with direct comparison between the set of labels, we compared multiple labeled samples to a common reference (a pooled sample containing an aliquot of each condition). In this method, the number of samples is not limited by the number of unique TMT labels. This TMT multiplexing strategy allows for a 15-fold reduction of analysis time while retaining the reliability advantage of TMT labeling over label-free quantification. The formation of the most important peptides could be followed over time and compared among several conditions. The changes in enzymatic degradation kinetics of diphtheria toxoid revealed several suitable candidate peptides for use in a quality control assay that can distinguish structurally aberrant diphtheria toxoid from compliant toxoids.
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Affiliation(s)
- Thomas J. M. Michiels
- Division
of BioTherapeutics, Leiden Academic Centre for Drug Research (LACDR), Leiden University, 2333 CC Leiden, The Netherlands
- Intravacc, Institute for Translational Vaccinology, 3721 MA Bilthoven, The Netherlands
| | - Madelief A. van Veen
- Division
of BioTherapeutics, Leiden Academic Centre for Drug Research (LACDR), Leiden University, 2333 CC Leiden, The Netherlands
| | - Hugo D. Meiring
- Intravacc, Institute for Translational Vaccinology, 3721 MA Bilthoven, The Netherlands
| | - Wim Jiskoot
- Division
of BioTherapeutics, Leiden Academic Centre for Drug Research (LACDR), Leiden University, 2333 CC Leiden, The Netherlands
| | - Gideon F. A. Kersten
- Division
of BioTherapeutics, Leiden Academic Centre for Drug Research (LACDR), Leiden University, 2333 CC Leiden, The Netherlands
- Intravacc, Institute for Translational Vaccinology, 3721 MA Bilthoven, The Netherlands
| | - Bernard Metz
- Intravacc, Institute for Translational Vaccinology, 3721 MA Bilthoven, The Netherlands
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22
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Pumford AD, Arul AB, Ford KI, Robinson RAS. Automation of On-Resin Enrichment of S-Nitrosylated Proteins for Oxidized Cysteine-Selective cPILOT. VANDERBILT UNDERGRADUATE RESEARCH JOURNAL : VURJ 2021; 11:43-51. [PMID: 35615079 PMCID: PMC9129232 DOI: 10.15695/vurj.v11i1.5096] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
S-Nitrosylation (SNO) is a cysteine post-translational modification that increases with normal aging and is present in Alzheimer's disease and other aging-related illnesses. Detection of SNO-modified proteins can be challenging; however, we previously developed a robust quantitative proteomics approach termed "Oxidized Cysteine-Selective combined precursor isobaric labeling and isobaric tagging (OxcyscPILOT)" that allows for detection of endogenous SNO-modified proteins. OxcyscPILOT involves enrichment of SNO-modified proteins using a thiol-based resin. This enrichment is performed manually, and wash steps with the resin require numerous stages and buffer reagents. The goal of this study is to transfer the manual protocol to an automated liquid handler system in order to reduce wash steps, increase sample throughput, and minimize experimental error. In order to accomplish this, we evaluated the Biomek i7 liquid handler automated workstation and a Positive Pressure ALP (PPA) apparatus to conduct automated on-resin enrichment. Our findings provide starting pressure conditions for the use of PPA in an automated OxcyscPILOT proteomics workflow that could be transferred to other robotic liquid handling systems.
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23
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12-Plex UHPLC-MS/MS analysis of sarcosine in human urine using integrated principle of multiplex tags chemical isotope labeling and selective imprint enriching. Talanta 2021; 224:121788. [PMID: 33379017 DOI: 10.1016/j.talanta.2020.121788] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2020] [Revised: 10/09/2020] [Accepted: 10/16/2020] [Indexed: 12/16/2022]
Abstract
Urinary sarcosine was considered to be a potential biomarker for prostate cancer (Pca). In this work, an integrated strategy of multiplex tags chemical isotope labeling (MTCIL) combined with magnetic dispersive solid phase extraction (MDSPE), was proposed for specific extraction and high-throughput determination of sarcosine by ultra high performance liquid chromatography tandem mass spectrometry (UHPLC-MS/MS). In the past three months, we have developed 8-plex MTCIL reagents with excellent qualitative and quantitative performance. In this work, the multiplexing capacity of MTCIL reagents (MTCIL360/361/362/363/364/365/366/375/376/378/379/381) was increased 1.5-fold from 8-plex to 12-plex. MTCIL359 was prepared and used to label sarcosine standard as internal standard (IS). The structural analogue derivative (MTCIL373-sarcosine) of all targeted MTCIL-sarcosine derivatives was synthesized and used as a novel dummy template to prepare dummy magnetic molecularly imprinted polymers (DMMIPs). The integration of MTCIL and DMMIPs procedures were extremely favorable to excellent chromatographic separation and efficient mass spectrometric detection. The labeling efficiency, chromatographic retention and mass spectrometry responses of MTCIL reagents were consistent for sarcosine. In a single UHPLC-MS/MS run (2.0 min), this method can simultaneously quantify sarcosine in 12-plex urine samples and achieve unbiased concentrations comparison between different urine samples. Analytical parameters including linearity (R2 0.989-0.997), detection limits (0.02 nM), precision (2.6-11.5%), accuracy (96.1-107.4%), matrix effect, labeling and extraction efficiency were carefully validated. The proposed method was successfully applied for urinary sarcosine determination of healthy male individuals and Pca patients. It was found that the sarcosine concentrations in these two groups were statistically extremely significantly different (P < 0.001). The developed method was a powerful analytical tool to substantially promote the analysis throughput and large-scale experiments about the potential biomarker research.
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24
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Diz AP, Sánchez-Marín P. A Primer and Guidelines for Shotgun Proteomic Analysis in Non-model Organisms. Methods Mol Biol 2021; 2259:77-102. [PMID: 33687710 DOI: 10.1007/978-1-0716-1178-4_6] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/04/2022]
Abstract
During the last decade, we have witnessed outstanding advances in proteomics led mostly by great technological improvements in mass spectrometry field allowing high-throughput production of high-quality data used for massive protein identification and quantification. From a practical viewpoint, these advances have been mainly exploited in research projects involving model organisms with abundant genomic and proteomic information available in public databases. However, there is a growing number of organisms of high interest in different disciplines, such as ecological, biotechnological, and evolutionary research, yet poorly represented in these databases. Important advances in massive parallel sequencing technology and easy accessibility of this technology to many research laboratories have made nowadays possible to produce customized genomic and proteomic databases of any organism. Along this line, the use of proteogenomic approaches by combining in the same analysis the data obtained from different omic levels has emerged as a very useful and powerful strategy to run shotgun proteomic experiments specially focused on non-model organisms. In this chapter, we provide detailed procedures to undertake shotgun quantitative proteomic experiments following either a label-free or an isobaric labeling approach in non-model organisms, emphasizing also a few key aspects related to experimental design and data analysis.
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Affiliation(s)
- Angel P Diz
- Department of Biochemistry, Genetics and Immunology, University of Vigo, Vigo, Spain. .,Marine Research Center, University of Vigo (CIM-UVIGO), Vigo, Spain.
| | - Paula Sánchez-Marín
- Centro Oceanográfico de Vigo, Instituto Español de Oceanografía, Vigo, Spain
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25
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Dermit M, Peters-Clarke TM, Shishkova E, Meyer JG. Peptide Correlation Analysis (PeCorA) Reveals Differential Proteoform Regulation. J Proteome Res 2020; 20:1972-1980. [PMID: 33325715 DOI: 10.1021/acs.jproteome.0c00602] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Shotgun proteomics techniques infer the presence and quantity of proteins using peptide proxies produced by cleavage of the proteome with a protease. Most protein quantitation strategies assume that multiple peptides derived from a protein will behave quantitatively similar across treatment groups, but this assumption may be false due to (1) heterogeneous proteoforms and (2) technical artifacts. Here we describe a strategy called peptide correlation analysis (PeCorA) that detects quantitative disagreements between peptides mapped to the same protein. PeCorA fits linear models to assess whether a peptide's change across treatment groups differs from all other peptides assigned to the same protein. PeCorA revealed that ∼15% of proteins in a mouse microglia stress data set contain at least one discordant peptide. Inspection of the discordant peptides shows the utility of PeCorA for the direct and indirect detection of regulated post-translational modifications (PTMs) and also for the discovery of poorly quantified peptides. The exclusion of poorly quantified peptides before protein quantity summarization decreased false-positives in a benchmark data set. Finally, PeCorA suggests that the inactive isoform of prothrombin, a coagulation cascade protease, is more abundant in plasma from COVID-19 patients relative to non-COVID-19 controls. PeCorA is freely available as an R package that works with arbitrary tables of quantified peptides.
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Affiliation(s)
- Maria Dermit
- Centre for Cancer Cell and Molecular Biology, Barts Cancer Institute, Queen Mary University of London, Charterhouse Square, London EC1M 6BQ, United Kingdom
| | - Trenton M Peters-Clarke
- Department of Chemistry, University of Wisconsin-Madison, Madison, Wisconsin 53706, United States
| | - Evgenia Shishkova
- National Center for Quantitative Biology of Complex Systems, Madison, Wisconsin 53706, United States.,Department of Biomolecular Chemistry, University of Wisconsin-Madison, Madison, Wisconsin 53706, United States
| | - Jesse G Meyer
- Department of Biomolecular Chemistry, University of Wisconsin-Madison, Madison, Wisconsin 53706, United States.,Department of Biochemistry, Medical College of Wisconsin, 8701 Watertown Plank Road, Milwaukee, Wisconsin 53226, United States
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26
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Derivatization-based sample-multiplexing for enhancing throughput in liquid chromatography/tandem mass spectrometry quantification of metabolites: an overview. J Chromatogr A 2020; 1634:461679. [DOI: 10.1016/j.chroma.2020.461679] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2020] [Revised: 10/02/2020] [Accepted: 11/01/2020] [Indexed: 12/13/2022]
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27
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Tian X, de Vries MP, Permentier HP, Bischoff R. A Versatile Isobaric Tag Enables Proteome Quantification in Data-Dependent and Data-Independent Acquisition Modes. Anal Chem 2020; 92:16149-16157. [PMID: 33256395 PMCID: PMC7745205 DOI: 10.1021/acs.analchem.0c03858] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
![]()
Quantifying proteins based on peptide-coupled
reporter ions is
a multiplexed quantitative strategy in proteomics that alleviates
the problem of ratio distortion caused by peptide cofragmentation,
as commonly observed in other reporter-ion-based approaches, such
as TMT and iTRAQ. Data-independent acquisition (DIA) is an attractive
alternative to data-dependent acquisition (DDA) due to its better
reproducibility. While multiplexed labeling is widely used in DDA,
it is rarely used in DIA, presumably because current approaches lead
to more complex MS2 spectra, severe ratio distortion, or to a reduction
in quantification accuracy and precision. Herein, we present a versatile
acetyl-alanine-glycine (Ac-AG) tag that conceals quantitative information
in isobarically labeled peptides and reveals it upon tandem MS in
the form of peptide-coupled reporter ions. Since the peptide-coupled
reporter ion is precursor-specific while fragment ions of the peptide
backbone originating from different labeling channels are identical,
the Ac-AG tag is compatible with both DDA and DIA. By isolating the
monoisotopic peak of the precursor ion in DDA, intensities of the
peptide-coupled reporter ions represent the relative ratios between
constituent samples, whereas in DIA, the ratio can be inferred after
deconvoluting the peptide-coupled reporter ion isotopes. The proteome
quantification capability of the Ac-AG tag was demonstrated by triplex
labeling of a yeast proteome spiked with bovine serum albumin (BSA)
over a 10-fold dynamic range. Within this complex proteomics background,
BSA spiked at 1:5:10 ratios was detected at ratios of 1.00:4.87:10.13
in DDA and 1.16:5.20:9.64 in DIA.
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Affiliation(s)
- Xiaobo Tian
- Department of Analytical Biochemistry and Interfaculty Mass Spectrometry Center, Groningen Research Institute of Pharmacy, University of Groningen, A. Deusinglaan 16, 9713 AV Groningen, The Netherlands
| | - Marcel P de Vries
- Department of Pediatrics, University Medical Center Groningen, University of Groningen, Hanzeplein 1, 9713 GZ Groningen, The Netherlands
| | - Hjalmar P Permentier
- Department of Analytical Biochemistry and Interfaculty Mass Spectrometry Center, Groningen Research Institute of Pharmacy, University of Groningen, A. Deusinglaan 16, 9713 AV Groningen, The Netherlands
| | - Rainer Bischoff
- Department of Analytical Biochemistry and Interfaculty Mass Spectrometry Center, Groningen Research Institute of Pharmacy, University of Groningen, A. Deusinglaan 16, 9713 AV Groningen, The Netherlands
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28
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Aso S, Ogawa S, Nishimoto-Kusunose S, Satoh M, Ishige T, Nomura F, Higashi T. Derivatization-based quadruplex LC/ESI-MS/MS method for high throughput quantification of serum dehydroepiandrosterone sulfate. Biomed Chromatogr 2020; 35:e5027. [PMID: 33179271 DOI: 10.1002/bmc.5027] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2020] [Revised: 10/30/2020] [Accepted: 11/08/2020] [Indexed: 01/22/2023]
Abstract
The quantification of the circulating dehydroepiandrosterone sulfate (DHEAS) might be of diagnostic help for several diseases. For the DHEAS quantification, LC/ESI-MS/MS has the advantage of a high specificity compared with immunoassay, whereas LC/ESI-MS/MS has room to improve the analysis throughput. One of the promising solutions to enhance the analysis throughput is sample-multiplexing in the same injection, which can reduce the total LC/ESI-MS/MS run time. In this study, a quadruplex LC/ESI-MS/MS method was developed to quantify DHEAS in four different serum samples in a single run. After the four samples were separately deproteinized and derivatized with one of four Girard reagents (Girard reagent T, P and their isotopologs), the resulting samples were mixed, then injected into the LC/ESI-MS/MS. The applicability and advantage of the developed method were evaluated based on the analysis of nine batches of serum samples from healthy subjects (total 36 samples). The limit of quantitation was 0.050 μg/ml, which was sensitive enough for clinical laboratory use. The method was precise (intra- and inter-assay RSDs ≤ 3.6%), accurate (94.4-108.1%) and robust for the matrix effects. The analysis time was also shortened by about 60% for 36 samples by the introduced method compared with the conventional method.
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Affiliation(s)
- Saki Aso
- Faculty of Pharmaceutical Sciences, Tokyo University of Science, Noda-shi, Chiba, Japan
| | - Shoujiro Ogawa
- Faculty of Pharmaceutical Sciences, Tokyo University of Science, Noda-shi, Chiba, Japan.,Faculty of Pharmacy and Pharmaceutical Sciences, Fukuyama University, Fukuyama-shi, Hiroshima, Japan
| | | | - Mamoru Satoh
- Division of Clinical Mass Spectrometry, Chiba University Hospital, Chiba-shi, Chiba, Japan
| | - Takayuki Ishige
- Division of Laboratory Medicine, Chiba University Hospital, Chiba-shi, Chiba, Japan
| | - Fumio Nomura
- Division of Clinical Genetics, Chiba University Hospital, Chiba-shi, Chiba, Japan
| | - Tatsuya Higashi
- Faculty of Pharmaceutical Sciences, Tokyo University of Science, Noda-shi, Chiba, Japan
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29
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Liu R, Wei P, Keller C, Orefice NS, Shi Y, Li Z, Huang J, Cui Y, Frost DC, Han S, Cross TWL, Rey FE, Li L. Integrated Label-Free and 10-Plex DiLeu Isobaric Tag Quantitative Methods for Profiling Changes in the Mouse Hypothalamic Neuropeptidome and Proteome: Assessment of the Impact of the Gut Microbiome. Anal Chem 2020; 92:14021-14030. [PMID: 32926775 DOI: 10.1021/acs.analchem.0c02939] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/13/2023]
Abstract
Gut microbiota can regulate host physiological and pathological status through gut-brain communications or pathways. However, the impact of the gut microbiome on neuropeptides and proteins involved in regulating brain functions and behaviors is still not clearly understood. To address the problem, integrated label-free and 10-plex DiLeu isobaric tag-based quantitative methods were implemented to compare the profiling of neuropeptides and proteins in the hypothalamus of germ-free (GF)- vs conventionally raised (ConvR)-mice. A total of 2943 endogenous peptides from 63 neuropeptide precursors and 3971 proteins in the mouse hypothalamus were identified. Among these 368 significantly changed peptides (fold changes over 1.5 and a p-value of <0.05), 73.6% of the peptides showed higher levels in GF-mice than in ConvR-mice, and 26.4% of the peptides had higher levels in ConvR-mice than in GF-mice. These peptides were mainly from secretogranin-2, phosphatidylethanolamine-binding protein-1, ProSAAS, and proenkephalin-A. A quantitative proteomic analysis employing DiLeu isobaric tags revealed that 282 proteins were significantly up- or down-regulated (fold changes over 1.2 and a p-value of <0.05) among the 3277 quantified proteins. These neuropeptides and proteins were mainly involved in regulating behaviors, transmitter release, signaling pathways, and synapses. Interestingly, pathways including long-term potentiation, long-term depression, and circadian entrainment were involved. In the present study, a combined label-free and 10-plex DiLeu-based quantitative method enabled a comprehensive profiling of gut microbiome-induced dynamic changes of neuropeptides and proteins in the hypothalamus, suggesting that the gut microbiome might mediate a range of behavioral changes, brain development, and learning and memory through these neuropeptides and proteins.
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Affiliation(s)
- Rui Liu
- School of Pharmacy, University of Wisconsin-Madison, Madison, Wisconsin 53705, United States.,School of Pharmacy, Nanjing University of Chinese Medicine, Nanjing 210023, P. R. China.,Jiangsu Collaborative Innovation Center of Chinese Medicinal Resources Industrialization, and National and Local Collaborative Engineering Center of Chinese Medicinal Resources Industrialization and Formulae Innovative Medicine, Nanjing 210023, P. R. China.,Jiangsu Key Laboratory of Research and Development in Marine Bio-resource Pharmaceutics, Nanjing University of Chinese Medicine, Nanjing 210023, P. R. China
| | - Pingli Wei
- Department of Chemistry, University of Wisconsin-Madison, Madison, Wisconsin 53706, United States
| | - Caitlin Keller
- Department of Chemistry, University of Wisconsin-Madison, Madison, Wisconsin 53706, United States
| | - Nicola Salvatore Orefice
- Department of Medicine, University of Wisconsin-Madison, Madison, Wisconsin 53705, United States.,Waisman Center, University of Wisconsin-Madison, Madison, Wisconsin 53705, United States
| | - Yatao Shi
- School of Pharmacy, University of Wisconsin-Madison, Madison, Wisconsin 53705, United States
| | - Zihui Li
- Department of Chemistry, University of Wisconsin-Madison, Madison, Wisconsin 53706, United States
| | - Junfeng Huang
- School of Pharmacy, University of Wisconsin-Madison, Madison, Wisconsin 53705, United States
| | - Yusi Cui
- School of Pharmacy, University of Wisconsin-Madison, Madison, Wisconsin 53705, United States
| | - Dustin C Frost
- School of Pharmacy, University of Wisconsin-Madison, Madison, Wisconsin 53705, United States
| | - Shuying Han
- School of Pharmacy, University of Wisconsin-Madison, Madison, Wisconsin 53705, United States.,School of Pharmacy, Nanjing University of Chinese Medicine, Nanjing 210023, P. R. China.,Jiangsu Collaborative Innovation Center of Chinese Medicinal Resources Industrialization, and National and Local Collaborative Engineering Center of Chinese Medicinal Resources Industrialization and Formulae Innovative Medicine, Nanjing 210023, P. R. China
| | - Tzu-Wen L Cross
- Department of Bacteriology, University of Wisconsin-Madison, Madison, Wisconsin 53705, United States.,Cardiovascular Research Center, University of Wisconsin-Madison, Madison, Wisconsin 53706, United States
| | - Federico E Rey
- Department of Bacteriology, University of Wisconsin-Madison, Madison, Wisconsin 53705, United States
| | - Lingjun Li
- School of Pharmacy, University of Wisconsin-Madison, Madison, Wisconsin 53705, United States.,Department of Chemistry, University of Wisconsin-Madison, Madison, Wisconsin 53706, United States
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30
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Garay-Baquero DJ, White CH, Walker NF, Tebruegge M, Schiff HF, Ugarte-Gil C, Morris-Jones S, Marshall BG, Manousopoulou A, Adamson J, Vallejo AF, Bielecka MK, Wilkinson RJ, Tezera LB, Woelk CH, Garbis SD, Elkington P. Comprehensive plasma proteomic profiling reveals biomarkers for active tuberculosis. JCI Insight 2020; 5:137427. [PMID: 32780727 PMCID: PMC7526553 DOI: 10.1172/jci.insight.137427] [Citation(s) in RCA: 28] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2020] [Accepted: 07/31/2020] [Indexed: 12/12/2022] Open
Abstract
BACKGROUNDTuberculosis (TB) kills more people than any other infection, and new diagnostic tests to identify active cases are required. We aimed to discover and verify novel markers for TB in nondepleted plasma.METHODSWe applied an optimized quantitative proteomics discovery methodology based on multidimensional and orthogonal liquid chromatographic separation combined with high-resolution mass spectrometry to study nondepleted plasma of 11 patients with active TB compared with 10 healthy controls. Prioritized candidates were verified in independent UK (n = 118) and South African cohorts (n = 203).RESULTSWe generated the most comprehensive TB plasma proteome to date, profiling 5022 proteins spanning 11 orders-of-magnitude concentration range with diverse biochemical and molecular properties. We analyzed the predominantly low-molecular weight subproteome, identifying 46 proteins with significantly increased and 90 with decreased abundance (peptide FDR ≤ 1%, q ≤ 0.05). Verification was performed for novel candidate biomarkers (CFHR5, ILF2) in 2 independent cohorts. Receiver operating characteristics analyses using a 5-protein panel (CFHR5, LRG1, CRP, LBP, and SAA1) exhibited discriminatory power in distinguishing TB from other respiratory diseases (AUC = 0.81).CONCLUSIONWe report the most comprehensive TB plasma proteome to date, identifying novel markers with verification in 2 independent cohorts, leading to a 5-protein biosignature with potential to improve TB diagnosis. With further development, these biomarkers have potential as a diagnostic triage test.FUNDINGColciencias, Medical Research Council, Innovate UK, NIHR, Academy of Medical Sciences, Program for Advanced Research Capacities for AIDS, Wellcome Centre for Infectious Diseases Research.
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Affiliation(s)
- Diana J Garay-Baquero
- School of Clinical and Experimental Sciences, Faculty of Medicine, and.,Institute for Life Sciences, University of Southampton, Southampton, United Kingdom.,Proteome Exploration Laboratory, Beckman Institute, California Institute of Technology, Pasadena, California, USA
| | - Cory H White
- School of Clinical and Experimental Sciences, Faculty of Medicine, and
| | - Naomi F Walker
- Wellcome Centre for Infectious Diseases Research in Africa, Institute of Infectious Disease and Molecular Medicine, University of Cape Town, Observatory 7925, South Africa.,Department of Clinical Sciences, Liverpool School of Tropical Medicine, Liverpool, United Kingdom.,Department of Medicine, University of Cape Town, Observatory 7925, South Africa.,TB Centre and Department of Clinical Research, London School of Hygiene & Tropical Medicine, London, United Kingdom
| | - Marc Tebruegge
- Department of Paediatric Infectious Diseases & Immunology, Evelina London Children's Hospital, Guy's and St Thomas' NHS Foundation Trust, London, United Kingdom.,Department of Infection, Immunity and Inflammation, UCL Great Ormond Street Institute of Child Health, University College London, London, United Kingdom.,Department of Paediatrics, University of Melbourne, Parkville, Australia
| | - Hannah F Schiff
- School of Clinical and Experimental Sciences, Faculty of Medicine, and
| | - Cesar Ugarte-Gil
- TB Centre and Department of Clinical Research, London School of Hygiene & Tropical Medicine, London, United Kingdom.,Instituto de Medicina Tropical Alexander von Humboldt, School of Medicine, Universidad Peruana Cayetano Heredia, Lima, Peru
| | - Stephen Morris-Jones
- Department of Microbiology, University College London Hospitals NHS Trust, London, United Kingdom.,Division of Infection and Immunity, University College London, London, United Kingdom
| | - Ben G Marshall
- School of Clinical and Experimental Sciences, Faculty of Medicine, and.,National Institute for Health Research (NIHR) Biomedical Research Centre, University Hospital NHS Foundation Trust, Southampton, Southampton, United Kingdom
| | | | - John Adamson
- Pharmacology Core, Africa Health Research Institute (AHRI), Durban, South Africa
| | - Andres F Vallejo
- School of Clinical and Experimental Sciences, Faculty of Medicine, and
| | | | - Robert J Wilkinson
- Wellcome Centre for Infectious Diseases Research in Africa, Institute of Infectious Disease and Molecular Medicine, University of Cape Town, Observatory 7925, South Africa.,Department of Medicine, University of Cape Town, Observatory 7925, South Africa.,The Francis Crick Institute, London, United Kingdom.,Department of Infectious Diseases, Faculty of Medicine, Imperial College, London, United Kingdom
| | - Liku B Tezera
- School of Clinical and Experimental Sciences, Faculty of Medicine, and.,Institute for Life Sciences, University of Southampton, Southampton, United Kingdom
| | | | - Spiros D Garbis
- Institute for Life Sciences, University of Southampton, Southampton, United Kingdom.,Proteome Exploration Laboratory, Beckman Institute, California Institute of Technology, Pasadena, California, USA.,Cancer Sciences Division, Faculty of Medicine, University of Southampton, United Kingdom
| | - Paul Elkington
- School of Clinical and Experimental Sciences, Faculty of Medicine, and.,Institute for Life Sciences, University of Southampton, Southampton, United Kingdom.,National Institute for Health Research (NIHR) Biomedical Research Centre, University Hospital NHS Foundation Trust, Southampton, Southampton, United Kingdom
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31
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Hu J, Chen SE, Zhu S, Jia W, Sun J, Zhao XE, Liu H. 13-Plex UHPLC-MS/MS Analysis of Hexanal and Heptanal Using Multiplex Tags Chemical Isotope Labeling Technology. JOURNAL OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY 2020; 31:1965-1973. [PMID: 32840365 DOI: 10.1021/jasms.0c00222] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/11/2023]
Abstract
In this work, a new series of chemical isotope labeling reagents, levofloxacin-hydrazide-based mass tags (LHMTs) named as LHMT359/360/361/362/363/364/365/366/373/375/376/378/379/381 were first designed and synthesized for the high-throughput analysis of potential biomarkers containing hexanal and heptanal of lung cancer. We exploited a new core structure of levofloxacin-d3, which significantly enhanced the multiplexing capability. Among them, LHMT359 was used for labeling standard compounds as internal standards for quantification. Using LHMT373-heptanal as dummy template, dummy magnetic molecularly imprinted polymers (DMMIPs) were prepared for magnetic dispersive solid-phase extraction after derivatization procedure. Other 12 LHMTs were established for high-throughput labeling hexanal and heptanal in human serum samples. The presynthesized DMMIPs can selectively extract LHMTs-derivatives of hexanal and heptanal from equally mixed derivatization solutions. The enriched derivatives of hexanal and heptanal were quantified by ultrahigh-performance liquid chromatography tandem mass spectrometry (UHPLC-MS/MS). A single UHPLC-MS/MS run enabled simultaneously quantifying hexanal and heptanal from 12 serum samples only within 2 min. The limits of detection were all 0.5 pM for hexanal and heptanal. The accuracies from human serum samples ranged from -10.2% to +11.0% with the intra- and interday precisions less than 11.3%. Meanwhile, this method was successfully applied for the analysis of hexanal and heptanal in serum samples from healthy people and lung cancer patients. The results show that this method has the significant advantages of high sensitivity, accuracy, selectivity, and analysis-throughput. The method application indicates that the developed method is promising in the screening of suspected lung cancer patients.
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Affiliation(s)
- Jingwen Hu
- Key Laboratory of Life-organic Analysis of Shandong Province & Key Laboratory of Pharmaceutical Intermediates and Natural Medicine Analysis, College of Chemistry and Chemical Engineering, Qufu Normal University, Qufu 273165, Shandong, P. R. China
| | - Shi-En Chen
- Key Laboratory of Life-organic Analysis of Shandong Province & Key Laboratory of Pharmaceutical Intermediates and Natural Medicine Analysis, College of Chemistry and Chemical Engineering, Qufu Normal University, Qufu 273165, Shandong, P. R. China
| | - Shuyun Zhu
- Key Laboratory of Life-organic Analysis of Shandong Province & Key Laboratory of Pharmaceutical Intermediates and Natural Medicine Analysis, College of Chemistry and Chemical Engineering, Qufu Normal University, Qufu 273165, Shandong, P. R. China
| | - Wenhui Jia
- Key Laboratory of Life-organic Analysis of Shandong Province & Key Laboratory of Pharmaceutical Intermediates and Natural Medicine Analysis, College of Chemistry and Chemical Engineering, Qufu Normal University, Qufu 273165, Shandong, P. R. China
| | - Jing Sun
- Qinghai Key Laboratory of Qinghai-Tibet Plateau Biological Resources, Northwest Institute of Plateau Biology, Chinese Academy of Sciences, Xining 810001, Qinghai, P. R. China
| | - Xian-En Zhao
- Key Laboratory of Life-organic Analysis of Shandong Province & Key Laboratory of Pharmaceutical Intermediates and Natural Medicine Analysis, College of Chemistry and Chemical Engineering, Qufu Normal University, Qufu 273165, Shandong, P. R. China
| | - Huwei Liu
- Beijing National Laboratory for Molecular Sciences, Institute of Analytical Chemistry, College of Chemistry and Molecular Engineering, Peking University, Beijing 100871, P. R. China
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32
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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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33
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Tian X, de Vries MP, Permentier HP, Bischoff R. A Collision-Induced Dissociation Cleavable Isobaric Tag for Peptide Fragment Ion-Based Quantification in Proteomics. J Proteome Res 2020; 19:3817-3824. [PMID: 32786690 PMCID: PMC7476077 DOI: 10.1021/acs.jproteome.0c00371] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
Quantifying peptides based on unique peptide fragment ions avoids the issue of ratio distortion that is commonly observed for reporter ion-based quantification approaches. Herein, we present a collision-induced dissociation-cleavable, isobaric acetyl-isoleucine-proline-glycine (Ac-IPG) tag, which conserves the merits of quantifying peptides based on unique fragments while reducing the complexity of the b-ion series compared to conventional fragment ion-based quantification methods thus facilitating data processing. Multiplex labeling is based on selective N-terminal dimethylation followed by derivatization of the ε-amino group of the C-terminal Lys residue of LysC peptides with isobaric Ac-IPG tags having complementary isotope distributions on Pro-Gly and Ac-Ile. Upon fragmentation between Ile and Pro, the resulting y ions, with the neutral loss of Ac-Ile, can be distinguished between the different labeling channels based on different numbers of isotope labels on the Pro-Gly part and thus contain the information for relative quantification, while b ions of different labeling channels have the same m/z values. The proteome quantification capability of this method was demonstrated by triplex labeling of a yeast proteome spiked with bovine serum albumin (BSA) over a 10-fold dynamic range. With the yeast proteins as the background, BSA was detected at ratios of 1.14:5.06:9.78 when spiked at 1:5:10 ratios. The raw mass data is available on the ProteomeXchange with the identifier PXD 018790.
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Affiliation(s)
- Xiaobo Tian
- Department of Analytical Biochemistry and Interfaculty Mass Spectrometry Center, Groningen Research Institute of Pharmacy, University of Groningen, Groningen 9713 AV, The Netherlands
| | - Marcel P de Vries
- Department of Pediatrics, University Medical Center Groningen, University of Groningen, Groningen 9713 GZ, The Netherlands
| | - Hjalmar P Permentier
- Department of Analytical Biochemistry and Interfaculty Mass Spectrometry Center, Groningen Research Institute of Pharmacy, University of Groningen, Groningen 9713 AV, The Netherlands
| | - Rainer Bischoff
- Department of Analytical Biochemistry and Interfaculty Mass Spectrometry Center, Groningen Research Institute of Pharmacy, University of Groningen, Groningen 9713 AV, The Netherlands
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34
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Chen SE, Zhu S, Hu J, Sun J, Zheng Z, Zhao XE, Liu H. 8-Plex stable isotope labeling absolute quantitation strategy combined with dual-targeted recognizing function material for simultaneous separation and determination of glucosylsphingosine and galactosylsphingosine in human plasma. Anal Chim Acta 2020; 1124:40-51. [DOI: 10.1016/j.aca.2020.05.032] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2020] [Revised: 05/09/2020] [Accepted: 05/12/2020] [Indexed: 02/01/2023]
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35
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Derivatization-based magnetic dummy molecularly imprinted polymers integrated with 4-plex stable isotope labeling derivatization strategy for specific and rapid determination of L-hydroxyproline in human serum. Anal Chim Acta 2020; 1127:57-68. [DOI: 10.1016/j.aca.2020.06.045] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2020] [Revised: 06/16/2020] [Accepted: 06/19/2020] [Indexed: 12/17/2022]
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36
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Sun L, Zhu S, Zheng Z, Sun J, Zhao XE, Liu H. 9-Plex ultra high performance liquid chromatography tandem mass spectrometry determination of free hydroxyl polycyclic aromatic hydrocarbons in human plasma and urine. J Chromatogr A 2020; 1623:461182. [DOI: 10.1016/j.chroma.2020.461182] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2020] [Revised: 04/27/2020] [Accepted: 04/29/2020] [Indexed: 02/07/2023]
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37
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Multiplexed derivatization strategy-based dummy molecularly imprinted polymers as sorbents for magnetic dispersive solid phase extraction of globotriaosylsphingosine prior to UHPLC-MS/MS quantitation. Mikrochim Acta 2020; 187:373. [DOI: 10.1007/s00604-020-04341-4] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2020] [Accepted: 05/18/2020] [Indexed: 12/16/2022]
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38
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Aggarwal S, Kumar A, Jamwal S, Midha MK, Talukdar NC, Yadav AK. HyperQuant-A Computational Pipeline for Higher Order Multiplexed Quantitative Proteomics. ACS OMEGA 2020; 5:10857-10867. [PMID: 32455206 PMCID: PMC7240821 DOI: 10.1021/acsomega.0c00515] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/05/2020] [Accepted: 04/09/2020] [Indexed: 06/11/2023]
Abstract
Quantitative proteomics has evolved considerably over the last decade with the advent of higher order multiplexing (HOM) techniques. With the development of methods such as-multitagging, cPILOT, hyperplexing, BONPlex, and MITNCAT, the HOM technique is rapidly taking the center stage in multiplexed quantitative proteomics. These studies combined MS1 and MS2 labels in a single experiment enabling higher sample throughput. While HOM is highly promising, the computational analysis is still a big challenge, as the available tools cannot harness its power completely. We have developed a new quantitative pipeline, HyperQuant to aid in accurately quantitating complex HOM data. The pipeline uses identification results from either MaxQuant or any other search engine and quantitation results from QuantWizIQ. The Mapper and Combiner modules of HyperQuant allow facile integration of the labeled data, along with peptide spectrum match (PSM) intensity/ratio integration for proteins, respectively, for each PSM label combination. This also includes appropriate combination of replicates/fractions before summarizing the protein intensity/ratio, leading to robust quantitation. To the best of our knowledge, this is the first tool for the quantitation of HOM data with flexibility for any combination of MS1 and MS2 labels. We demonstrate its utility in analyzing two 18-plex data sets from the hyperplexing and the BONplex studies. The tool is open source and freely available for noncommercial use. HyperQuant is a highly valuable tool that will help in advancing the field of multiplexed quantitative proteomics.
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Affiliation(s)
- Suruchi Aggarwal
- Translational
Health Science and Technology Institute, NCR Biotech Science Cluster, 3rd Milestone, Faridabad−Gurgaon
Expressway, Faridabad 121001, Haryana, India
- Division
of Life Sciences, Institute of Advanced
Study in Science and Technology, Vigyan Path, Paschim Boragaon, Garchuk, Guwahati, Assam 781035, India
- Department
of Molecular Biology and Biotechnology, Cotton University, Panbazar, Guwahati, Assam 781001, India
| | - Ajay Kumar
- Translational
Health Science and Technology Institute, NCR Biotech Science Cluster, 3rd Milestone, Faridabad−Gurgaon
Expressway, Faridabad 121001, Haryana, India
| | - Shilpa Jamwal
- Translational
Health Science and Technology Institute, NCR Biotech Science Cluster, 3rd Milestone, Faridabad−Gurgaon
Expressway, Faridabad 121001, Haryana, India
| | - Mukul Kumar Midha
- Translational
Health Science and Technology Institute, NCR Biotech Science Cluster, 3rd Milestone, Faridabad−Gurgaon
Expressway, Faridabad 121001, Haryana, India
| | - Narayan Chandra Talukdar
- Division
of Life Sciences, Institute of Advanced
Study in Science and Technology, Vigyan Path, Paschim Boragaon, Garchuk, Guwahati, Assam 781035, India
- Department
of Molecular Biology and Biotechnology, Cotton University, Panbazar, Guwahati, Assam 781001, India
| | - Amit Kumar Yadav
- Translational
Health Science and Technology Institute, NCR Biotech Science Cluster, 3rd Milestone, Faridabad−Gurgaon
Expressway, Faridabad 121001, Haryana, India
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39
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Quadruplex stable isotope derivatization strategy for the determination of panaxadiol and panaxatriol in foodstuffs and medicinal materials using ultra high performance liquid chromatography tandem mass spectrometry. J Chromatogr A 2020; 1616:460794. [DOI: 10.1016/j.chroma.2019.460794] [Citation(s) in RCA: 59] [Impact Index Per Article: 14.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2019] [Revised: 12/07/2019] [Accepted: 12/14/2019] [Indexed: 12/17/2022]
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40
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Lombard-Banek C, Schiel JE. Mass Spectrometry Advances and Perspectives for the Characterization of Emerging Adoptive Cell Therapies. Molecules 2020; 25:E1396. [PMID: 32204371 PMCID: PMC7144572 DOI: 10.3390/molecules25061396] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2020] [Revised: 03/06/2020] [Accepted: 03/11/2020] [Indexed: 12/12/2022] Open
Abstract
Adoptive cell therapy is an emerging anti-cancer modality, whereby the patient's own immune cells are engineered to express T-cell receptor (TCR) or chimeric antigen receptor (CAR). CAR-T cell therapies have advanced the furthest, with recent approvals of two treatments by the Food and Drug Administration of Kymriah (trisagenlecleucel) and Yescarta (axicabtagene ciloleucel). Recent developments in proteomic analysis by mass spectrometry (MS) make this technology uniquely suited to enable the comprehensive identification and quantification of the relevant biochemical architecture of CAR-T cell therapies and fulfill current unmet needs for CAR-T product knowledge. These advances include improved sample preparation methods, enhanced separation technologies, and extension of MS-based proteomic to single cells. Innovative technologies such as proteomic analysis of raw material quality attributes (MQA) and final product quality attributes (PQA) may provide insights that could ultimately fuel development strategies and lead to broad implementation.
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Affiliation(s)
- Camille Lombard-Banek
- National Institute of Standards and Technology, Gaithersburg, MD 20899, USA;
- Institute for Bioscience and Biotechnology Research, Rockville, MD 20850, USA
| | - John E. Schiel
- National Institute of Standards and Technology, Gaithersburg, MD 20899, USA;
- Institute for Bioscience and Biotechnology Research, Rockville, MD 20850, USA
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41
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Tong M, Smeekens JM, Xiao H, Wu R. Systematic quantification of the dynamics of newly synthesized proteins unveiling their degradation pathways in human cells. Chem Sci 2020; 11:3557-3568. [PMID: 34109028 PMCID: PMC8152571 DOI: 10.1039/c9sc06479f] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2019] [Accepted: 03/09/2020] [Indexed: 12/29/2022] Open
Abstract
Proteins are continuously synthesized during cell growth and proliferation. At the same time, excessive and misfolded proteins have to be degraded, otherwise they are a burden to cells. Protein degradation is essential to maintain proteostasis in cells, and dysfunction of protein degradation systems results in numerous diseases such as cancer and neurodegenerative diseases. Despite the importance of protein degradation, the degradation pathways of many proteins remain to be explored. Here, we comprehensively investigated the degradation of newly synthesized proteins in human cells by integrating metabolic labeling, click chemistry, and multiplexed proteomics, and systematic and quantitative analysis of newly synthesized proteins first revealed the degradation pathways of many proteins. Bioinformatic analysis demonstrates that proteins degraded through two major pathways have distinct properties and functions. Proteins degraded through the ubiquitin-proteasome pathway contain more disordered structures, whereas those through the autophagy-lysosome pathway have significantly higher hydrophobicity. Systematic and quantitative investigation of the dynamics of newly synthesized proteins provides unprecedented and valuable information about protein degradation, which leads to a better understanding of protein properties and cellular activities.
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Affiliation(s)
- Ming Tong
- School of Chemistry and Biochemistry and the Petit Institute for Bioengineering and Bioscience, Georgia Institute of Technology Atlanta Georgia 30332 USA +1-404-894-7452 +1-404-385-1515
| | - Johanna M Smeekens
- School of Chemistry and Biochemistry and the Petit Institute for Bioengineering and Bioscience, Georgia Institute of Technology Atlanta Georgia 30332 USA +1-404-894-7452 +1-404-385-1515
| | - Haopeng Xiao
- School of Chemistry and Biochemistry and the Petit Institute for Bioengineering and Bioscience, Georgia Institute of Technology Atlanta Georgia 30332 USA +1-404-894-7452 +1-404-385-1515
| | - Ronghu Wu
- School of Chemistry and Biochemistry and the Petit Institute for Bioengineering and Bioscience, Georgia Institute of Technology Atlanta Georgia 30332 USA +1-404-894-7452 +1-404-385-1515
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42
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Dayon L, Affolter M. Progress and pitfalls of using isobaric mass tags for proteome profiling. Expert Rev Proteomics 2020; 17:149-161. [PMID: 32067523 DOI: 10.1080/14789450.2020.1731309] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
Introduction: Quantitative proteomics using mass spectrometry is performed via label-free or label-based approaches. Labeling strategies rely on the incorporation of stable heavy isotopes by metabolic, enzymatic, or chemical routes. Isobaric labeling uses chemical labels of identical masses but of different fragmentation behaviors to allow the relative quantitative comparison of peptide/protein abundances between biological samples.Areas covered: We have carried out a systematic review on the use of isobaric mass tags in proteomic research since their inception in 2003. We focused on their quantitative performances, their multiplexing evolution, as well as their broad use for relative quantification of proteins in pre-clinical models and clinical studies. Current limitations, primarily linked to the quantitative ratio distortion, as well as state-of-the-art and emerging solutions to improve their quantitative readouts are discussed.Expert opinion: The isobaric mass tag technology offers a unique opportunity to compare multiple protein samples simultaneously, allowing higher sample throughput and internal relative quantification for improved trueness and precision. Large studies can be performed when shared reference samples are introduced in multiple experiments. The technology is well suited for proteome profiling in the context of proteomic discovery studies.
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Affiliation(s)
- Loïc Dayon
- Proteomics, Nestlé Institute of Food Safety & Analytical Sciences, Nestlé Research, Lausanne, Switzerland.,Institut des Sciences et Ingénierie Chimiques, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
| | - Michael Affolter
- Proteomics, Nestlé Institute of Food Safety & Analytical Sciences, Nestlé Research, Lausanne, Switzerland
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43
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King CD, Robinson RAS. Evaluating Combined Precursor Isotopic Labeling and Isobaric Tagging Performance on Orbitraps To Study the Peripheral Proteome of Alzheimer's Disease. Anal Chem 2020; 92:2911-2916. [PMID: 31940168 PMCID: PMC7932850 DOI: 10.1021/acs.analchem.9b01974] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
Combined precursor isotopic labeling and isobaric tagging (cPILOT) is an enhanced multiplexing strategy currently capable of analyzing up to 24 samples simultaneously. This capability is especially helpful when studying multiple tissues and biological replicates in models of disease, such as Alzheimer's disease (AD). Here, cPILOT was used to study proteomes from heart, liver, and brain tissues in a late-stage amyloid precursor protein/presenilin-1 (APP/PS-1) human transgenic double-knock-in mouse model of AD. The original global cPILOT assay developed on an Orbitrap Velos instrument was transitioned to an Orbitrap Fusion Lumos instrument. The advantages of faster scan rates, lower limits of detection, and synchronous precursor selection on the Fusion Lumos afford greater numbers of isobarically tagged peptides to be quantified in comparison to the Orbitrap Velos. Parameters such as LC gradient, m/z isolation window, dynamic exclusion, targeted mass analyses, and synchronous precursor scan were optimized leading to >600 000 PSMs, corresponding to 6074 proteins. Overall, these studies inform of system-wide changes in brain, heart, and liver proteins from a mouse model of AD.
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Affiliation(s)
- Christina D King
- Department of Chemistry , Vanderbilt University , Nashville , Tennessee 37235 , United States
| | - Renã A S 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 , Vanderbilt University Medical Center , Nashville , Tennessee 37212 , United States
- Vanderbilt Institute of Chemical Biology , Vanderbilt University , Nashville , Tennessee 37232 , United States
- Vanderbilt Brain Institute , Vanderbilt University , Nashville , Tennessee 37232 , United States
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Affiliation(s)
| | | | - Ronghu Wu
- School of Chemistry and Biochemistry and the Parker H. Petit Institute for Bioengineering and Bioscience, Georgia Institute of Technology, Atlanta, Georgia 30332, United States
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45
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Xia L, Yang J, Su R, Zhou W, Zhang Y, Zhong Y, Huang S, Chen Y, Li G. Recent Progress in Fast Sample Preparation Techniques. Anal Chem 2019; 92:34-48. [DOI: 10.1021/acs.analchem.9b04735] [Citation(s) in RCA: 60] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Affiliation(s)
- Ling Xia
- School of Chemistry, Sun Yat-sen University, Guangzhou 510275, China
| | - Jiani Yang
- School of Chemistry, Sun Yat-sen University, Guangzhou 510275, China
| | - Rihui Su
- School of Chemistry, Sun Yat-sen University, Guangzhou 510275, China
| | - Wanjun Zhou
- School of Chemistry, Sun Yat-sen University, Guangzhou 510275, China
| | - Yanshu Zhang
- School of Chemistry, Sun Yat-sen University, Guangzhou 510275, China
| | - Yanhui Zhong
- School of Chemistry, Sun Yat-sen University, Guangzhou 510275, China
| | - Simin Huang
- School of Chemistry, Sun Yat-sen University, Guangzhou 510275, China
| | - Yanlong Chen
- School of Chemistry, Sun Yat-sen University, Guangzhou 510275, China
| | - Gongke Li
- School of Chemistry, Sun Yat-sen University, Guangzhou 510275, China
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46
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Aggarwal S, Talukdar NC, Yadav AK. Advances in Higher Order Multiplexing Techniques in Proteomics. J Proteome Res 2019; 18:2360-2369. [DOI: 10.1021/acs.jproteome.9b00228] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/12/2023]
Affiliation(s)
- Suruchi Aggarwal
- Drug Discovery Research Centre, Translational Health Science and Technology Institute, NCR Biotech Science Cluster, Third Milestone, Faridabad − Gurgaon Expressway, Faridabad, Haryana 121001, India
- Division of Life Sciences, Institute of Advanced Study in Science and Technology, Vigyan Path, Paschim Boragaon, Garchuk, Guwahati, Assam 781035, India
- Department of Molecular Biology and Biotechnology, Cotton University, Panbazar, Guwahati, Assam 781001, India
| | - Narayan C. Talukdar
- Division of Life Sciences, Institute of Advanced Study in Science and Technology, Vigyan Path, Paschim Boragaon, Garchuk, Guwahati, Assam 781035, India
- Department of Molecular Biology and Biotechnology, Cotton University, Panbazar, Guwahati, Assam 781001, India
| | - Amit K. Yadav
- Drug Discovery Research Centre, Translational Health Science and Technology Institute, NCR Biotech Science Cluster, Third Milestone, Faridabad − Gurgaon Expressway, Faridabad, Haryana 121001, India
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47
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Bąchor R, Waliczek M, Stefanowicz P, Szewczuk Z. Trends in the Design of New Isobaric Labeling Reagents for Quantitative Proteomics. Molecules 2019; 24:molecules24040701. [PMID: 30781343 PMCID: PMC6412310 DOI: 10.3390/molecules24040701] [Citation(s) in RCA: 45] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2018] [Revised: 02/12/2019] [Accepted: 02/13/2019] [Indexed: 12/23/2022] Open
Abstract
Modern mass spectrometry is one of the most frequently used methods of quantitative proteomics, enabling determination of the amount of peptides in a sample. Although mass spectrometry is not inherently a quantitative method due to differences in the ionization efficiency of various analytes, the application of isotope-coded labeling allows relative quantification of proteins and proteins. Over the past decade, a new method for derivatization of tryptic peptides using isobaric labels has been proposed. The labels consist of reporter and balanced groups. They have the same molecular weights and chemical properties, but differ in the distribution of stable heavy isotopes. These tags are designed in such a way that during high energy collision induced dissociation (CID) by tandem mass spectrometry, the isobaric tag is fragmented in the specific linker region, yielding reporter ions with different masses. The mass shifts among the reporter groups are compensated by the balancing groups so that the overall mass is the same for all forms of the reagent. Samples of peptides are labeled with the isobaric mass tags in parallel and combined for analysis. Quantification of individual peptides is achieved by comparing the intensity of reporter ions in the tandem mass (MS/MS) spectra. Isobaric markers have found a wide range of potential applications in proteomics. However, the currently available isobaric labeling reagents have some drawbacks, such as high cost of production, insufficient selectivity of the derivatization, and relatively limited enhancement of sensitivity of the analysis. Therefore, efforts have been devoted to the development of new isobaric markers with increased usability. The search for new isobaric markers is focused on developing a more selective method of introducing a tag into a peptide molecule, increasing the multiplexicity of markers, lowering the cost of synthesis, and increasing the sensitivity of measurement by using ionization tags containing quaternary ammonium salts. Here, the trends in the design of new isobaric labeling reagents for quantitative proteomics isobaric derivatization strategies in proteomics are reviewed, with a particular emphasis on isobaric ionization tags. The presented review focused on different types of isobaric reagents used in quantitative proteomics, their chemistry, and advantages offer by their application.
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Affiliation(s)
- Remigiusz Bąchor
- Faculty of Chemistry, University of Wrocław, F. Joliot-Curie 14, 50-383 Wrocław, Poland.
| | - Mateusz Waliczek
- Faculty of Chemistry, University of Wrocław, F. Joliot-Curie 14, 50-383 Wrocław, Poland.
| | - Piotr Stefanowicz
- Faculty of Chemistry, University of Wrocław, F. Joliot-Curie 14, 50-383 Wrocław, Poland.
| | - Zbigniew Szewczuk
- Faculty of Chemistry, University of Wrocław, F. Joliot-Curie 14, 50-383 Wrocław, Poland.
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