Literature DB >> 22188275

Systematic comparison of label-free, metabolic labeling, and isobaric chemical labeling for quantitative proteomics on LTQ Orbitrap Velos.

Zhou Li1, Rachel M Adams, Karuna Chourey, Gregory B Hurst, Robert L Hettich, Chongle Pan.   

Abstract

A variety of quantitative proteomics methods have been developed, including label-free, metabolic labeling, and isobaric chemical labeling using iTRAQ or TMT. Here, these methods were compared in terms of the depth of proteome coverage, quantification accuracy, precision, and reproducibility using a high-performance hybrid mass spectrometer, LTQ Orbitrap Velos. Our results show that (1) the spectral counting method provides the deepest proteome coverage for identification, but its quantification performance is worse than labeling-based approaches, especially the quantification reproducibility; (2) metabolic labeling and isobaric chemical labeling are capable of accurate, precise, and reproducible quantification and provide deep proteome coverage for quantification; isobaric chemical labeling surpasses metabolic labeling in terms of quantification precision and reproducibility; and (3) iTRAQ and TMT perform similarly in all aspects compared in the current study using a CID-HCD dual scan configuration. On the basis of the unique advantages of each method, we provide guidance for selection of the appropriate method for a quantitative proteomics study.

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Year:  2012        PMID: 22188275     DOI: 10.1021/pr200748h

Source DB:  PubMed          Journal:  J Proteome Res        ISSN: 1535-3893            Impact factor:   4.466


  111 in total

Review 1.  A Biologist's Field Guide to Multiplexed Quantitative Proteomics.

Authors:  Corey E Bakalarski; Donald S Kirkpatrick
Journal:  Mol Cell Proteomics       Date:  2016-02-12       Impact factor: 5.911

2.  Analysis of the Surface, Secreted, and Intracellular Proteome of Propionibacterium acnes.

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Journal:  EuPA Open Proteom       Date:  2015-06-16

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Authors:  Hasmik Keshishian; Michael W Burgess; Michael A Gillette; Philipp Mertins; Karl R Clauser; D R Mani; Eric W Kuhn; Laurie A Farrell; Robert E Gerszten; Steven A Carr
Journal:  Mol Cell Proteomics       Date:  2015-02-27       Impact factor: 5.911

Review 4.  The spectra count label-free quantitation in cancer proteomics.

Authors:  Weidong Zhou; Lance A Liotta; Emanuel F Petricoin
Journal:  Cancer Genomics Proteomics       Date:  2012 May-Jun       Impact factor: 4.069

5.  Global protein differential expression profiling of cerebrospinal fluid samples pooled from Chinese sporadic CJD and non-CJD patients.

Authors:  Cao Chen; Di Xiao; Wei Zhou; Qi Shi; Hui-Fang Zhang; Jin Zhang; Chan Tian; Jian-Zhong Zhang; Xiao-Ping Dong
Journal:  Mol Neurobiol       Date:  2013-08-04       Impact factor: 5.590

6.  Integrative Metabolic Pathway Analysis Reveals Novel Therapeutic Targets in Osteoarthritis.

Authors:  Beatriz Rocha; Berta Cillero-Pastor; Gert Eijkel; Valentina Calamia; Patricia Fernandez-Puente; Martin R L Paine; Cristina Ruiz-Romero; Ron M A Heeren; Francisco J Blanco
Journal:  Mol Cell Proteomics       Date:  2020-01-24       Impact factor: 5.911

Review 7.  A Review on Quantitative Multiplexed Proteomics.

Authors:  Nishant Pappireddi; Lance Martin; Martin Wühr
Journal:  Chembiochem       Date:  2019-04-18       Impact factor: 3.164

8.  ANPELA: analysis and performance assessment of the label-free quantification workflow for metaproteomic studies.

Authors:  Jing Tang; Jianbo Fu; Yunxia Wang; Bo Li; Yinghong Li; Qingxia Yang; Xuejiao Cui; Jiajun Hong; Xiaofeng Li; Yuzong Chen; Weiwei Xue; Feng Zhu
Journal:  Brief Bioinform       Date:  2020-03-23       Impact factor: 11.622

Review 9.  Microbial metaproteomics for characterizing the range of metabolic functions and activities of human gut microbiota.

Authors:  Weili Xiong; Paul E Abraham; Zhou Li; Chongle Pan; Robert L Hettich
Journal:  Proteomics       Date:  2015-05-28       Impact factor: 3.984

Review 10.  Proteomic analysis of fatty-acylated proteins.

Authors:  Tao Peng; Emmanuelle Thinon; Howard C Hang
Journal:  Curr Opin Chem Biol       Date:  2015-12-02       Impact factor: 8.822

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