Recent advances in isobaric labeling and applications in quantitative proteomics

Abstract: Mass spectrometry (MS) has emerged at the forefront of quantitative proteomic techniques. Liquid chromatography‐mass spectrometry (LC‐MS) can be used to determine abundances of proteins and peptides in complex biological samples. Several methods have been developed and adapted for accurate quantification based on chemical isotopic labeling. Among various chemical isotopic labeling techniques, isobaric tagging approaches rely on the analysis of peptides from MS2‐based quantification rather than MS1‐based quantification. In this review, we will provide an overview of several isobaric tags along with some recent developments including complementary ion tags, improvements in sensitive quantitation of analytes with lower abundance, strategies to increase multiplexing capabilities, and targeted analysis strategies. We will also discuss limitations of isobaric tags and approaches to alleviate these restrictions through bioinformatic tools and data acquisition methods. This review will highlight several applications of isobaric tags, including biomarker discovery and validation, thermal proteome profiling, cross‐linking for structural investigations, single‐cell analysis, top‐down proteomics, along with applications to different molecules including neuropeptides, glycans, metabolites, and lipids, while providing considerations and evaluations to each application.

Location
Deutsche Nationalbibliothek Frankfurt am Main
Extent
Online-Ressource
Language
Englisch

Bibliographic citation
Recent advances in isobaric labeling and applications in quantitative proteomics ; day:22 ; month:06 ; year:2022 ; extent:17
Proteomics ; (22.06.2022) (gesamt 17)

Creator
Sivanich, Michael K.
Gu, Ting‐Jia
Tabang, Dylan Nicholas
Li, Lingjun

DOI
10.1002/pmic.202100256
URN
urn:nbn:de:101:1-2022062315122753330259
Rights
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
Last update
15.08.2025, 7:23 AM CEST

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Associated

  • Sivanich, Michael K.
  • Gu, Ting‐Jia
  • Tabang, Dylan Nicholas
  • Li, Lingjun

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