Literature DB >> 32067523

Progress and pitfalls of using isobaric mass tags for proteome profiling.

Loïc Dayon1,2, Michael Affolter1.   

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.

Keywords:  Proteomics; quantification; tagging

Mesh:

Year:  2020        PMID: 32067523     DOI: 10.1080/14789450.2020.1731309

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


  4 in total

1.  Optimized sample preparation and data analysis for TMT proteomic analysis of cerebrospinal fluid applied to the identification of Alzheimer's disease biomarkers.

Authors:  Sophia Weiner; Mathias Sauer; Pieter Jelle Visser; Betty M Tijms; Egor Vorontsov; Kaj Blennow; Henrik Zetterberg; Johan Gobom
Journal:  Clin Proteomics       Date:  2022-05-14       Impact factor: 5.000

Review 2.  A Critical Review of Proteomic Studies in Gestational Diabetes Mellitus.

Authors:  Tao Zhou; Lu Huang; Min Wang; Daozhen Chen; Zhong Chen; Shi-Wen Jiang
Journal:  J Diabetes Res       Date:  2020-07-14       Impact factor: 4.011

Review 3.  Quantitative Proteomics Using Isobaric Labeling: A Practical Guide.

Authors:  Xiulan Chen; Yaping Sun; Tingting Zhang; Lian Shu; Peter Roepstorff; Fuquan Yang
Journal:  Genomics Proteomics Bioinformatics       Date:  2022-01-08       Impact factor: 6.409

4.  Interval-Based Secretomics Unravels Acute-Phase Response in Hepatocyte Model Systems.

Authors:  Sascha Knecht; H Christian Eberl; Marcus Bantscheff
Journal:  Mol Cell Proteomics       Date:  2022-05-05       Impact factor: 7.381

  4 in total

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