Literature DB >> 28418607

Current trends in quantitative proteomics - an update.

H Li1, J Han1, J Pan1, T Liu1, C E Parker1, C H Borchers1,2,3,4.   

Abstract

Proteins can provide insights into biological processes at the functional level, so they are very promising biomarker candidates. The quantification of proteins in biological samples has been routinely used for the diagnosis of diseases and monitoring the treatment. Although large-scale protein quantification in complex samples is still a challenging task, a great amount of effort has been made to advance the technologies that enable quantitative proteomics. Seven years ago, in 2009, we wrote an article about the current trends in quantitative proteomics. In writing this current paper, we realized that, today, we have an even wider selection of potential tools for quantitative proteomics. These tools include new derivatization reagents, novel sampling formats, new types of analyzers and scanning techniques, and recently developed software to assist in assay development and data analysis. In this review article, we will discuss these innovative methods, and their current and potential applications in proteomics.
Copyright © 2017 John Wiley & Sons, Ltd. Copyright © 2017 John Wiley & Sons, Ltd.

Keywords:  Orbitrap; SWATH; mass spectrometry; proteomics; quantitation; standardization

Mesh:

Substances:

Year:  2017        PMID: 28418607     DOI: 10.1002/jms.3932

Source DB:  PubMed          Journal:  J Mass Spectrom        ISSN: 1076-5174            Impact factor:   1.982


  24 in total

1.  Absolute Quantitation of Oxidizable Peptides by Coulometric Mass Spectrometry.

Authors:  Pengyi Zhao; Richard N Zare; Hao Chen
Journal:  J Am Soc Mass Spectrom       Date:  2019-08-19       Impact factor: 3.109

2.  Label-free absolute protein quantification with data-independent acquisition.

Authors:  Bing He; Jian Shi; Xinwen Wang; Hui Jiang; Hao-Jie Zhu
Journal:  J Proteomics       Date:  2019-03-14       Impact factor: 4.044

3.  Impact of the Identification Strategy on the Reproducibility of the DDA and DIA Results.

Authors:  Carolina Fernández-Costa; Salvador Martínez-Bartolomé; Daniel B McClatchy; Anthony J Saviola; Nam-Kyung Yu; John R Yates
Journal:  J Proteome Res       Date:  2020-06-19       Impact factor: 4.466

4.  iTRAQ quantitative proteomic analysis differentially expressed proteins and signal pathways in henoch-schönlein purpura nephritis.

Authors:  Ran Gao; Xueli Niu; Lili Zhu; Ruiqun Qi; Liang He
Journal:  Am J Transl Res       Date:  2020-12-15       Impact factor: 4.060

5.  Chromobodies to Quantify Changes of Endogenous Protein Concentration in Living Cells.

Authors:  Bettina-Maria Keller; Julia Maier; Kathy-Ann Secker; Stefanie-Maria Egetemaier; Yana Parfyonova; Ulrich Rothbauer; Bjoern Traenkle
Journal:  Mol Cell Proteomics       Date:  2018-09-18       Impact factor: 5.911

6.  The proteome and its dynamics: A missing piece for integrative multi-omics in schizophrenia.

Authors:  Karin E Borgmann-Winter; Kai Wang; Sabyasachi Bandyopadhyay; Abolfazl Doostparast Torshizi; Ian A Blair; Chang-Gyu Hahn
Journal:  Schizophr Res       Date:  2019-08-13       Impact factor: 4.662

Review 7.  Employing proteomics to understand the effects of nutritional intervention in cancer treatment.

Authors:  Monica M Schroll; Amanda B Hummon
Journal:  Anal Bioanal Chem       Date:  2018-07-04       Impact factor: 4.478

8.  Authentication of pork in meat mixtures using PRM mass spectrometry of myosin peptides.

Authors:  Xiao-Dong Pan; Jiang Chen; Qing Chen; Bai-Fen Huang; Jian-Long Han
Journal:  RSC Adv       Date:  2018-03-21       Impact factor: 3.361

9.  Quantification of Cardiovascular Disease Biomarkers in Human Platelets by Targeted Mass Spectrometry.

Authors:  Sebastian Malchow; Christina Loosse; Albert Sickmann; Christin Lorenz
Journal:  Proteomes       Date:  2017-11-15

10.  Quantitative Proteomics Analysis of Membrane Proteins in Enterococcus faecalis With Low-Level Linezolid-Resistance.

Authors:  Jia Yan; Yun Xia; Mi Yang; Jiaqi Zou; Yingzhu Chen; Dawei Zhang; Liang Ma
Journal:  Front Microbiol       Date:  2018-07-27       Impact factor: 5.640

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