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Van Puyvelde B, Hunter CL, Zhgamadze M, Savant S, Wang YO, Hoedt E, Raedschelders K, Pope M, Huynh CA, Ramanujan VK, Tourtellotte W, Razavi M, Anderson NL, Martens G, Deforce D, Fu Q, Dhaenens M, Van Eyk JE. Acoustic ejection mass spectrometry empowers ultra-fast protein biomarker quantification. Nat Commun 2024; 15:5114. [PMID: 38879593 PMCID: PMC11180209 DOI: 10.1038/s41467-024-48563-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2023] [Accepted: 05/07/2024] [Indexed: 06/19/2024] Open
Abstract
The global scientific response to COVID 19 highlighted the urgent need for increased throughput and capacity in bioanalytical laboratories, especially for the precise quantification of proteins that pertain to health and disease. Acoustic ejection mass spectrometry (AEMS) represents a much-needed paradigm shift for ultra-fast biomarker screening. Here, a quantitative AEMS assays is presented, employing peptide immunocapture to enrich (i) 10 acute phase response (APR) protein markers from plasma, and (ii) SARS-CoV-2 NCAP peptides from nasopharyngeal swabs. The APR proteins were quantified in 267 plasma samples, in triplicate in 4.8 h, with %CV from 4.2% to 10.5%. SARS-CoV-2 peptides were quantified in triplicate from 145 viral swabs in 10 min. This assay represents a 15-fold speed improvement over LC-MS, with instrument stability demonstrated across 10,000 peptide measurements. The combination of speed from AEMS and selectivity from peptide immunocapture enables ultra-high throughput, reproducible quantitative biomarker screening in very large cohorts.
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Affiliation(s)
- Bart Van Puyvelde
- ProGenTomics, Laboratory of Pharmaceutical Biotechnology, Ghent University, 9000, Ghent, Belgium
- Advanced Clinical Biosystems Research Institute, Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, CA, 90048, USA
| | | | - Maxim Zhgamadze
- Advanced Clinical Biosystems Research Institute, Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, CA, 90048, USA
| | | | - Y Oliver Wang
- Advanced Clinical Biosystems Research Institute, Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, CA, 90048, USA
| | - Esthelle Hoedt
- Advanced Clinical Biosystems Research Institute, Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, CA, 90048, USA
| | - Koen Raedschelders
- Advanced Clinical Biosystems Research Institute, Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, CA, 90048, USA
| | - Matt Pope
- SISCAPA Assay Technologies Inc., Box 53309, Washington, DC, 20009, USA
| | - Carissa A Huynh
- Cedars Sinai Biobank & Research Pathology Resource, Cedars-Sinai Medical Center, Los Angeles, CA, 90048, USA
| | - V Krishnan Ramanujan
- Cedars Sinai Biobank & Research Pathology Resource, Cedars-Sinai Medical Center, Los Angeles, CA, 90048, USA
| | - Warren Tourtellotte
- Cedars Sinai Biobank & Research Pathology Resource, Cedars-Sinai Medical Center, Los Angeles, CA, 90048, USA
| | - Morteza Razavi
- SISCAPA Assay Technologies Inc., Box 53309, Washington, DC, 20009, USA
| | - N Leigh Anderson
- SISCAPA Assay Technologies Inc., Box 53309, Washington, DC, 20009, USA
| | - Geert Martens
- AZ Delta Medical Laboratories, AZ Delta General Hospital, 8800, Roeselare, Belgium
| | - Dieter Deforce
- ProGenTomics, Laboratory of Pharmaceutical Biotechnology, Ghent University, 9000, Ghent, Belgium
| | - Qin Fu
- Advanced Clinical Biosystems Research Institute, Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, CA, 90048, USA
| | - Maarten Dhaenens
- ProGenTomics, Laboratory of Pharmaceutical Biotechnology, Ghent University, 9000, Ghent, Belgium.
| | - Jennifer E Van Eyk
- Advanced Clinical Biosystems Research Institute, Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, CA, 90048, USA.
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Marano P, Mouapi K, Kim A, Mastali M, van den Broek I, Manalo D, Fu Q, Cheng S, Shufelt C, Spiegel B, Bairey Merz CN, Van Eyk JE. Apolipoproteins Quantified Using Blood Volumetric Absorptive Microsampling and High-Throughput Mass Spectrometry for Risk Assessment in Ischemic Heart Disease. Circulation 2024; 149:970-972. [PMID: 38498608 PMCID: PMC10954092 DOI: 10.1161/circulationaha.123.066034] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/20/2024]
Affiliation(s)
- Paul Marano
- Barbra Streisand Women’s Heart Center, Smidt Heart Institute, Los Angeles, CA
| | - Kelly Mouapi
- Advanced Clinical Biosystems Research Institute, Cedars-Sinai Smidt Heart Institute, Los Angeles, CA
| | - Andy Kim
- Barbra Streisand Women’s Heart Center, Smidt Heart Institute, Los Angeles, CA
| | - Mitra Mastali
- Advanced Clinical Biosystems Research Institute, Cedars-Sinai Smidt Heart Institute, Los Angeles, CA
| | - Irene van den Broek
- Advanced Clinical Biosystems Research Institute, Cedars-Sinai Smidt Heart Institute, Los Angeles, CA
| | - Danica Manalo
- Advanced Clinical Biosystems Research Institute, Cedars-Sinai Smidt Heart Institute, Los Angeles, CA
| | - Qin Fu
- Advanced Clinical Biosystems Research Institute, Cedars-Sinai Smidt Heart Institute, Los Angeles, CA
| | - Susan Cheng
- Barbra Streisand Women’s Heart Center, Smidt Heart Institute, Los Angeles, CA
| | - Chrisandra Shufelt
- Barbra Streisand Women’s Heart Center, Smidt Heart Institute, Los Angeles, CA
| | - Brennan Spiegel
- Cedars-Sinai Center for Outcomes Research and Education (CS-CORE), Cedars-Sinai Medical Center, Los Angeles, CA
| | - C. Noel Bairey Merz
- Barbra Streisand Women’s Heart Center, Smidt Heart Institute, Los Angeles, CA
| | - Jennifer E. Van Eyk
- Barbra Streisand Women’s Heart Center, Smidt Heart Institute, Los Angeles, CA
- Advanced Clinical Biosystems Research Institute, Cedars-Sinai Smidt Heart Institute, Los Angeles, CA
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3
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Bowser BL, Patterson KL, Robinson RA. Evaluating cPILOT Data toward Quality Control Implementation. JOURNAL OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY 2023; 34:1741-1752. [PMID: 37459602 DOI: 10.1021/jasms.3c00179] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/03/2023]
Abstract
Multiplexing enables the monitoring of hundreds to thousands of proteins in quantitative proteomics analyses and increases sample throughput. In most mass-spectrometry-based proteomics workflows, multiplexing is achieved by labeling biological samples with heavy isotopes via precursor isotopic labeling or isobaric tagging. Enhanced multiplexing strategies, such as combined precursor isotopic labeling and isobaric tagging (cPILOT), combine multiple technologies to afford an even higher sample throughput. Critical to enhanced multiplexing analyses is ensuring that analytical performance is optimal and that missingness of sample channels is minimized. Automation of sample preparation steps and use of quality control (QC) metrics can be incorporated into multiplexing analyses and reduce the likelihood of missing information, thus maximizing the amount of usable quantitative data. Here, we implemented QC metrics previously developed in our laboratory to evaluate a 36-plex cPILOT experiment that encompassed 144 mouse samples of various tissue types, time points, genotypes, and biological replicates. The evaluation focuses on the use of a sample pool generated from all samples in the experiment to monitor the daily instrument performance and to provide a means for data normalization across sample batches. Our results show that tracking QC metrics enabled the quantification of ∼7000 proteins in each sample batch, of which ∼70% had minimal missing values across up to 36 sample channels. Implementation of QC metrics for future cPILOT studies as well as other enhanced multiplexing strategies will help yield high-quality data sets.
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Affiliation(s)
- Bailey L Bowser
- Department of Chemistry, Vanderbilt University, Nashville, Tennessee 37235, United States
| | - Khiry L Patterson
- Department of Chemistry, Vanderbilt University, Nashville, Tennessee 37235, United States
| | - Renã As Robinson
- Department of Chemistry, Vanderbilt University, Nashville, Tennessee 37235, United States
- Department of Neurology, Vanderbilt University Medical Center, Nashville, Tennessee 37232, United States
- Vanderbilt Memory & Alzheimer's Center, Nashville, Tennessee 37212, United States
- Vanderbilt Institute of Chemical Biology, Nashville, Tennessee 37232, United States
- Vanderbilt Brain Institute, Nashville, Tennessee 37232, United States
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4
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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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5
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Fu Q, Murray CI, Karpov OA, Van Eyk JE. Automated proteomic sample preparation: The key component for high throughput and quantitative mass spectrometry analysis. MASS SPECTROMETRY REVIEWS 2023; 42:873-886. [PMID: 34786750 DOI: 10.1002/mas.21750] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/05/2021] [Revised: 10/11/2021] [Accepted: 10/27/2021] [Indexed: 06/13/2023]
Abstract
Sample preparation for mass spectrometry-based proteomics has many tedious and time-consuming steps that can introduce analytical errors. In particular, the steps around the proteolytic digestion of protein samples are prone to inconsistency. One route for reliable sample processing is the development and optimization of a workflow utilizing an automated liquid handling workstation. Diligent assessment of the sample type, protocol design, reagents, and incubation conditions can significantly improve the speed and consistency of preparation. When combining robust liquid chromatography-mass spectrometry with either discovery or targeted methods, automated sample preparation facilitates increased throughput and reproducible quantitation of biomarker candidates. These improvements in analysis are also essential to process the large patient cohorts necessary to validate a candidate biomarker for potential clinical use. This article reviews the steps in the workflow, optimization strategies, and known applications in clinical, pharmaceutical, and research fields that demonstrate the broad utility for improved automation of sample preparation in the proteomic field.
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Affiliation(s)
- Qin Fu
- Smidt Heart Institute, Advanced Clinical Biosystems Research Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA
| | - Christopher I Murray
- Smidt Heart Institute, Advanced Clinical Biosystems Research Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA
| | - Oleg A Karpov
- Smidt Heart Institute, Advanced Clinical Biosystems Research Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA
| | - Jennifer E Van Eyk
- Smidt Heart Institute, Advanced Clinical Biosystems Research Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA
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Haymond S. System Performance Monitoring in Clinical Liquid Chromatography-Tandem Mass Spectrometry (LC-MS/MS). Methods Mol Biol 2022; 2546:13-25. [PMID: 36127574 DOI: 10.1007/978-1-0716-2565-1_2] [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: 11/29/2022]
Abstract
Quality assurance (QA) activities enable continuous improvement through ongoing post-implementation monitoring to identify, evaluate, and correct problems. QA for clinical liquid chromatography tandem mass spectrometry (LC-MS/MS) assays should include specific components that address the unique aspects of these methods. This chapter briefly describes approaches for clinical LC-MS/MS system performance monitoring using batch and peak review metrics, largely following CLSI-C62A guidance. Though routine checks ensure the quality of results reported for each run, there is also a need to evaluate metrics between runs over time. Post-implementation performance monitoring of LC-MS/MS methods is typically focused on calibration curves, retention times, peak intensities, and ion ratios.
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Affiliation(s)
- Shannon Haymond
- Department of Pathology and Laboratory Medicine, Ann & Robert H. Lurie Children's Hospital of Chicago, Chicago, IL, USA. .,Department of Pathology, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA.
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Rappold BA. Review of the Use of Liquid Chromatography-Tandem Mass Spectrometry in Clinical Laboratories: Part II-Operations. Ann Lab Med 2022; 42:531-557. [PMID: 35470272 PMCID: PMC9057814 DOI: 10.3343/alm.2022.42.5.531] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2021] [Revised: 02/08/2022] [Accepted: 04/13/2022] [Indexed: 11/19/2022] Open
Abstract
Liquid chromatography-tandem mass spectrometry (LC-MS/MS) is increasingly utilized in clinical laboratories because it has advantages in terms of specificity and sensitivity over other analytical technologies. These advantages come with additional responsibilities and challenges given that many assays and platforms are not provided to laboratories as a single kit or device. The skills, staff, and assays used in LC-MS/MS are internally developed by the laboratory, with relatively few exceptions. Hence, a laboratory that deploys LC-MS/MS assays must be conscientious of the practices and procedures adopted to overcome the challenges associated with the technology. This review discusses the post-development landscape of LC-MS/MS assays, including validation, quality assurance, operations, and troubleshooting. The content knowledge of LC-MS/MS users is quite broad and deep and spans multiple scientific fields, including biology, clinical chemistry, chromatography, engineering, and MS. However, there are no formal academic programs or specific literature to train laboratory staff on the fundamentals of LC-MS/MS beyond the reports on method development. Therefore, depending on their experience level, some readers may be familiar with aspects of the laboratory practices described herein, while others may be not. This review endeavors to assemble aspects of LC-MS/MS operations in the clinical laboratory to provide a framework for the thoughtful development and execution of LC-MS/MS applications.
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Affiliation(s)
- Brian A Rappold
- Laboratory Corporation of America Holdings, Research Triangle Park, NC, USA
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8
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Integrated mass spectrometry-based multi-omics for elucidating mechanisms of bacterial virulence. Biochem Soc Trans 2021; 49:1905-1926. [PMID: 34374408 DOI: 10.1042/bst20191088] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2021] [Revised: 07/19/2021] [Accepted: 07/21/2021] [Indexed: 11/17/2022]
Abstract
Despite being considered the simplest form of life, bacteria remain enigmatic, particularly in light of pathogenesis and evolving antimicrobial resistance. After three decades of genomics, we remain some way from understanding these organisms, and a substantial proportion of genes remain functionally unknown. Methodological advances, principally mass spectrometry (MS), are paving the way for parallel analysis of the proteome, metabolome and lipidome. Each provides a global, complementary assay, in addition to genomics, and the ability to better comprehend how pathogens respond to changes in their internal (e.g. mutation) and external environments consistent with infection-like conditions. Such responses include accessing necessary nutrients for survival in a hostile environment where co-colonizing bacteria and normal flora are acclimated to the prevailing conditions. Multi-omics can be harnessed across temporal and spatial (sub-cellular) dimensions to understand adaptation at the molecular level. Gene deletion libraries, in conjunction with large-scale approaches and evolving bioinformatics integration, will greatly facilitate next-generation vaccines and antimicrobial interventions by highlighting novel targets and pathogen-specific pathways. MS is also central in phenotypic characterization of surface biomolecules such as lipid A, as well as aiding in the determination of protein interactions and complexes. There is increasing evidence that bacteria are capable of widespread post-translational modification, including phosphorylation, glycosylation and acetylation; with each contributing to virulence. This review focuses on the bacterial genotype to phenotype transition and surveys the recent literature showing how the genome can be validated at the proteome, metabolome and lipidome levels to provide an integrated view of organism response to host conditions.
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Melby JA, Roberts DS, Larson EJ, Brown KA, Bayne EF, Jin S, Ge Y. Novel Strategies to Address the Challenges in Top-Down Proteomics. JOURNAL OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY 2021; 32:1278-1294. [PMID: 33983025 PMCID: PMC8310706 DOI: 10.1021/jasms.1c00099] [Citation(s) in RCA: 93] [Impact Index Per Article: 31.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/03/2023]
Abstract
Top-down mass spectrometry (MS)-based proteomics is a powerful technology for comprehensively characterizing proteoforms to decipher post-translational modifications (PTMs) together with genetic variations and alternative splicing isoforms toward a proteome-wide understanding of protein functions. In the past decade, top-down proteomics has experienced rapid growth benefiting from groundbreaking technological advances, which have begun to reveal the potential of top-down proteomics for understanding basic biological functions, unraveling disease mechanisms, and discovering new biomarkers. However, many challenges remain to be comprehensively addressed. In this Account & Perspective, we discuss the major challenges currently facing the top-down proteomics field, particularly in protein solubility, proteome dynamic range, proteome complexity, data analysis, proteoform-function relationship, and analytical throughput for precision medicine. We specifically review the major technology developments addressing these challenges with an emphasis on our research group's efforts, including the development of top-down MS-compatible surfactants for protein solubilization, functionalized nanoparticles for the enrichment of low-abundance proteoforms, strategies for multidimensional chromatography separation of proteins, and a new comprehensive user-friendly software package for top-down proteomics. We have also made efforts to connect proteoforms with biological functions and provide our visions on what the future holds for top-down proteomics.
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Affiliation(s)
- Jake A Melby
- Department of Chemistry, University of Wisconsin-Madison, Madison, Wisconsin 53706, United States
| | - David S Roberts
- Department of Chemistry, University of Wisconsin-Madison, Madison, Wisconsin 53706, United States
| | - Eli J Larson
- Department of Chemistry, University of Wisconsin-Madison, Madison, Wisconsin 53706, United States
| | - Kyle A Brown
- Department of Chemistry, University of Wisconsin-Madison, Madison, Wisconsin 53706, United States
- Department of Surgery, University of Wisconsin-Madison, Madison, Wisconsin 53705, United States
| | - Elizabeth F Bayne
- Department of Chemistry, University of Wisconsin-Madison, Madison, Wisconsin 53706, United States
| | - Song Jin
- Department of Chemistry, University of Wisconsin-Madison, Madison, Wisconsin 53706, United States
| | - Ying Ge
- Department of Chemistry, University of Wisconsin-Madison, Madison, Wisconsin 53706, United States
- Department of Cell and Regenerative Biology, University of Wisconsin-Madison, Madison, Wisconsin 53705, United States
- Human Proteomics Program, University of Wisconsin-Madison, Madison, Wisconsin 53705, United States
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Smit NPM, Ruhaak LR, Romijn FPHTM, Pieterse MM, van der Burgt YEM, Cobbaert CM. The Time Has Come for Quantitative Protein Mass Spectrometry Tests That Target Unmet Clinical Needs. JOURNAL OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY 2021; 32:636-647. [PMID: 33522792 PMCID: PMC7944566 DOI: 10.1021/jasms.0c00379] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/09/2020] [Revised: 12/22/2020] [Accepted: 01/19/2021] [Indexed: 05/04/2023]
Abstract
Protein mass spectrometry (MS) is an enabling technology that is ideally suited for precision diagnostics. In contrast to immunoassays with indirect readouts, MS quantifications are multiplexed and include identification of proteoforms in a direct manner. Although widely used for routine measurements of drugs and metabolites, the number of clinical MS-based protein applications is limited. In this paper, we share our experience and aim to take away the concerns that have kept laboratory medicine from implementing quantitative protein MS. To ensure added value of new medical tests and guarantee accurate test results, five key elements of test evaluation have been established by a working group within the European Federation for Clinical Chemistry and Laboratory Medicine. Moreover, it is emphasized to identify clinical gaps in the contemporary clinical pathways before test development is started. We demonstrate that quantitative protein MS tests that provide an additional layer of clinical information have robust performance and meet long-term desirable analytical performance specifications as exemplified by our own experience. Yet, the adoption of quantitative protein MS tests into medical laboratories is seriously hampered due to its complexity, lack of robotization and high initial investment costs. Successful and widespread implementation in medical laboratories requires uptake and automation of this next generation protein technology by the In-Vitro Diagnostics industry. Also, training curricula of lab workers and lab specialists should include education on enabling technologies for transitioning to precision medicine by quantitative protein MS tests.
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Affiliation(s)
- Nico P. M. Smit
- Department of Clinical Chemistry and
Laboratory Medicine, Leiden University Medical
Center, Albinusdreef 2, 2333 ZA Leiden, The Netherlands
| | - L. Renee Ruhaak
- Department of Clinical Chemistry and
Laboratory Medicine, Leiden University Medical
Center, Albinusdreef 2, 2333 ZA Leiden, The Netherlands
| | - Fred P. H. T. M. Romijn
- Department of Clinical Chemistry and
Laboratory Medicine, Leiden University Medical
Center, Albinusdreef 2, 2333 ZA Leiden, The Netherlands
| | - Mervin M. Pieterse
- Department of Clinical Chemistry and
Laboratory Medicine, Leiden University Medical
Center, Albinusdreef 2, 2333 ZA Leiden, The Netherlands
| | - Yuri E. M. van der Burgt
- Department of Clinical Chemistry and
Laboratory Medicine, Leiden University Medical
Center, Albinusdreef 2, 2333 ZA Leiden, The Netherlands
| | - Christa M. Cobbaert
- Department of Clinical Chemistry and
Laboratory Medicine, Leiden University Medical
Center, Albinusdreef 2, 2333 ZA Leiden, The Netherlands
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11
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Han Y, Wood SD, Wright JM, Dostal V, Lau E, Lam MPY. Computation-assisted targeted proteomics of alternative splicing protein isoforms in the human heart. J Mol Cell Cardiol 2021; 154:92-96. [PMID: 33549679 DOI: 10.1016/j.yjmcc.2021.01.007] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/30/2020] [Revised: 01/17/2021] [Accepted: 01/19/2021] [Indexed: 02/06/2023]
Abstract
Alternative splicing is prevalent in the heart and implicated in many cardiovascular diseases, but not every alternative transcript is translated and detecting non-canonical isoforms at the protein level remains challenging. Here we show the use of a computation-assisted targeted proteomics workflow to detect protein alternative isoforms in the human heart. We build on a recent strategy to integrate deep RNA-seq and large-scale mass spectrometry data to identify candidate translated isoform peptides. A machine learning approach is then applied to predict their fragmentation patterns and design protein isoform-specific parallel reaction monitoring detection (PRM) assays. As proof-of-principle, we built PRM assays for 29 non-canonical isoform peptides and detected 22 peptides in a human heart lysate. The predictions-aided PRM assays closely mirrored synthetic peptide standards for non-canonical sequences. This approach may be useful for validating non-canonical protein identification and discovering functionally relevant isoforms in the heart.
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Affiliation(s)
- Yu Han
- Department of Medicine-Cardiology, University of Colorado Anschutz Medical Campus, Aurora, CO, 80045, United States of America; Department of Consortium for Fibrosis Research & Translation, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, 80045, United States of America
| | - Silas D Wood
- Department of Medicine-Cardiology, University of Colorado Anschutz Medical Campus, Aurora, CO, 80045, United States of America
| | - Julianna M Wright
- Department of Medicine-Cardiology, University of Colorado Anschutz Medical Campus, Aurora, CO, 80045, United States of America
| | - Vishantie Dostal
- Department of Medicine-Cardiology, University of Colorado Anschutz Medical Campus, Aurora, CO, 80045, United States of America; Department of Consortium for Fibrosis Research & Translation, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, 80045, United States of America
| | - Edward Lau
- Department of Medicine-Cardiology, University of Colorado Anschutz Medical Campus, Aurora, CO, 80045, United States of America; Department of Consortium for Fibrosis Research & Translation, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, 80045, United States of America
| | - Maggie P Y Lam
- Department of Medicine-Cardiology, University of Colorado Anschutz Medical Campus, Aurora, CO, 80045, United States of America; Department of Biochemistry & Molecular Genetics, University of Colorado Anschutz Medical Campus, Aurora, CO, 80045, United States of America; Department of Consortium for Fibrosis Research & Translation, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, 80045, United States of America.
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