Literature DB >> 27341553

Clinical translation of MS-based, quantitative plasma proteomics: status, challenges, requirements, and potential.

Andrew J Percy1, Simon Byrns2, Stephen R Pennington3, Daniel T Holmes4,5, N Leigh Anderson6, Tasha M Agreste1, Maureen A Duffy1.   

Abstract

INTRODUCTION: Aided by the advent of advanced mass spectrometry (MS)-based technologies and methodologies, quantitative proteomics has emerged as a viable technique to capture meaningful data for candidate biomarker evaluation. To aid clinical translation, these methods generally utilize a bottom-up strategy with isotopically labeled standards and a targeted form of MS measurement. AREAS COVERED: This article reviews the status, challenges, requirements, and potential of translating current, MS-based methods to the clinical laboratory. The described methods are discussed and contrasted within a fit-for-purpose approach, while different resources for quality control, quantitative analysis, and data interpretation are additionally provided. Expert commentary: Although great strides have been made over the past five years in developing reliable quantitative assays for plasma protein biomarkers, it is crucial for investigators to have an understanding of the clinical validation process, a major roadblock in translational research. Continued progress in method design and validation of protein assays is necessary to ultimately achieve widespread adoption and regulatory approval.

Keywords:  Biomarker; MRM; MS; PRM; clinic; disease; protein; proteomics; quantification; translation

Mesh:

Substances:

Year:  2016        PMID: 27341553     DOI: 10.1080/14789450.2016.1205950

Source DB:  PubMed          Journal:  Expert Rev Proteomics        ISSN: 1478-9450            Impact factor:   3.940


  9 in total

1.  Detailed Method for Performing the ExSTA Approach in Quantitative Bottom-Up Plasma Proteomics.

Authors:  Andrew J Percy; Christoph H Borchers
Journal:  Methods Mol Biol       Date:  2021

2.  Quick 96FASP for high throughput quantitative proteome analysis.

Authors:  Yanbao Yu; Shiferaw Bekele; Rembert Pieper
Journal:  J Proteomics       Date:  2017-06-29       Impact factor: 4.044

3.  Mass Spectrometry-Based Plasma Proteomics: Considerations from Sample Collection to Achieving Translational Data.

Authors:  Vera Ignjatovic; Philipp E Geyer; Krishnan K Palaniappan; Jessica E Chaaban; Gilbert S Omenn; Mark S Baker; Eric W Deutsch; Jochen M Schwenk
Journal:  J Proteome Res       Date:  2019-10-11       Impact factor: 4.466

Review 4.  Clinical applications of quantitative proteomics using targeted and untargeted data-independent acquisition techniques.

Authors:  Jesse G Meyer; Birgit Schilling
Journal:  Expert Rev Proteomics       Date:  2017-05       Impact factor: 3.940

Review 5.  Platelet Proteomes, Pathways, and Phenotypes as Informants of Vascular Wellness and Disease.

Authors:  Joseph E Aslan
Journal:  Arterioscler Thromb Vasc Biol       Date:  2021-01-14       Impact factor: 8.311

6.  Use of MS-GUIDE for identification of protein biomarkers for risk stratification of patients with prostate cancer.

Authors:  Sandra Goetze; Peter Schüffler; Alcibiade Athanasiou; Anika Koetemann; Cedric Poyet; Christian Daniel Fankhauser; Peter J Wild; Ralph Schiess; Bernd Wollscheid
Journal:  Clin Proteomics       Date:  2022-04-27       Impact factor: 5.000

7.  Personalized Proteomics: The Future of Precision Medicine.

Authors:  Trevor T Duarte; Charles T Spencer
Journal:  Proteomes       Date:  2016-10-01

8.  Absolute Quantification of Apolipoproteins Following Treatment with Omega-3 Carboxylic Acids and Fenofibrate Using a High Precision Stable Isotope-labeled Recombinant Protein Fragments Based SRM Assay.

Authors:  Andreas Hober; Fredrik Edfors; Maria Ryaboshapkina; Jonas Malmqvist; Louise Rosengren; Andrew J Percy; Lars Lind; Björn Forsström; Mathias Uhlén; Jan Oscarsson; Tasso Miliotis
Journal:  Mol Cell Proteomics       Date:  2019-10-07       Impact factor: 5.911

Review 9.  Microfluidic Point-of-Care (POC) Devices in Early Diagnosis: A Review of Opportunities and Challenges.

Authors:  Shih-Mo Yang; Shuangsong Lv; Wenjun Zhang; Yubao Cui
Journal:  Sensors (Basel)       Date:  2022-02-18       Impact factor: 3.576

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.