Literature DB >> 21999835

Quantitative proteomics of complex mixtures.

Kevin M Coombs1.   

Abstract

Measurement of biologically important effector protein molecules has been a long-standing essential component of biological research. Advances in biotechnology, in the form of high-resolution mass spectrometers, and in bioinformatics, now allow the simultaneous quantitative analysis of thousands of proteins. While these techniques still do not allow definitive identification of the entire proteome of complex mixtures, such as cells, quantitative analyses of hundreds to thousands of proteins in such complex mixtures provides a means to elucidate molecular alterations that occur during perturbation of cellular systems. This article will outline considerations of reducing sample complexity, by strategies such as multidimensional separations (gel-based and chromatography-based, including multidimensional protein identification technology). In addition, some of the most common methods used to quantitatively measure proteins in complex mixtures (2D difference in-gel electrophoresis, isotope-coded affinity tags, isotope-coded protein labeling, tandem mass tags, isobaric tags for relative and absolute quantitation, stable isotope labeling of amino acids in cell culture and label-free), as well as recent examples of each strategy, are described.

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Year:  2011        PMID: 21999835     DOI: 10.1586/epr.11.55

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


  15 in total

Review 1.  Cardiovascular redox and ox stress proteomics.

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Journal:  Antioxid Redox Signal       Date:  2012-08-10       Impact factor: 8.401

Review 2.  Proteomic approaches and identification of novel therapeutic targets for alcoholism.

Authors:  Giorgio Gorini; R Adron Harris; R Dayne Mayfield
Journal:  Neuropsychopharmacology       Date:  2013-07-31       Impact factor: 7.853

3.  Preprocessing significantly improves the peptide/protein identification sensitivity of high-resolution isobarically labeled tandem mass spectrometry data.

Authors:  Quanhu Sheng; Rongxia Li; Jie Dai; Qingrun Li; Zhiduan Su; Yan Guo; Chen Li; Yu Shyr; Rong Zeng
Journal:  Mol Cell Proteomics       Date:  2014-11-30       Impact factor: 5.911

4.  A relative quantitative positive/negative ion switching method for untargeted lipidomics via high resolution LC-MS/MS from any biological source.

Authors:  Susanne B Breitkopf; Stéphane J H Ricoult; Min Yuan; Ying Xu; David A Peake; Brendan D Manning; John M Asara
Journal:  Metabolomics       Date:  2017-02-07       Impact factor: 4.290

5.  Identification of the key flavonoid and lipid synthesis proteins in the pulp of two sea buckthorn cultivars at different developmental stages.

Authors:  Wei Du; Jian Ding; Shunguang Lu; Xiufeng Wen; Jianzhong Hu; Chengjiang Ruan
Journal:  BMC Plant Biol       Date:  2022-06-17       Impact factor: 5.260

6.  Improved detection of quantitative differences using a combination of spectral counting and MS/MS total ion current.

Authors:  Dana M Freund; Jessica E Prenni
Journal:  J Proteome Res       Date:  2013-03-12       Impact factor: 4.466

7.  Metastasis-associated cell surface oncoproteomics.

Authors:  Piia-Riitta Karhemo; Maija Hyvönen; Pirjo Laakkonen
Journal:  Front Pharmacol       Date:  2012-11-07       Impact factor: 5.810

8.  Non-Biased Enrichment Does Not Improve Quantitative Proteomic Delineation of Reovirus T3D-Infected HeLa Cell Protein Alterations.

Authors:  Jieyuan Jiang; Kolawole J Opanubi; Kevin M Coombs
Journal:  Front Microbiol       Date:  2012-09-20       Impact factor: 5.640

9.  Quantification of the host response proteome after mammalian reovirus T1L infection.

Authors:  Alicia R Berard; John P Cortens; Oleg Krokhin; John A Wilkins; Alberto Severini; Kevin M Coombs
Journal:  PLoS One       Date:  2012-12-11       Impact factor: 3.240

Review 10.  Open source libraries and frameworks for mass spectrometry based proteomics: a developer's perspective.

Authors:  Yasset Perez-Riverol; Rui Wang; Henning Hermjakob; Markus Müller; Vladimir Vesada; Juan Antonio Vizcaíno
Journal:  Biochim Biophys Acta       Date:  2013-03-01
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