Literature DB >> 17288513

Amino acid-coded tagging approaches in quantitative proteomics.

Xian Chen1, Liwei Sun, Yanbao Yu, Yan Xue, Pengyuan Yang.   

Abstract

To improve the efficiency, accuracy, reproducibility, throughput and proteome coverage of mass spectrometry-based quantitative approaches, both in vitro and in vivo tagging of particular amino acid residues of cellular proteins have been introduced to assist mass spectrometry for global-scale comparative studies of differentially expressed proteins/modifications between different biologically relevant cell states or cells at different pathological states. The basic features of these methods introduce pair-wise isotope signals of each individual peptide containing a particular type of tagged amino acid (amino acid-coded mass tagging) that originated from different cell states. In this review, the applications of major amino acid-coded mass tagging-based quantitative proteomics approaches, including isotope-coded affinity tag, isobaric tags for relative and absolute quantification (iTRAQ) and stable isotope labeling by amino acids in cell culture are summarized in the context of their respective strengths/weakness in identifying those differentially expressed or post-translational modified proteins regulated by particular cellular stress on a genomic scale in a high-throughput manner. Importantly, these gel-free, in-spectra quantitative mechanisms have been further explored to identify/characterize large-scale protein-protein interactions involving various functional pathways. Taken together, the information about quantitative proteome changes, including multiple regulated proteins and their interconnected relationships, will provide an important insight into the molecular mechanisms, where novel targets for diagnosis and therapeutic intervention will be identified.

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Year:  2007        PMID: 17288513     DOI: 10.1586/14789450.4.1.25

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


  21 in total

1.  Addressing accuracy and precision issues in iTRAQ quantitation.

Authors:  Natasha A Karp; Wolfgang Huber; Pawel G Sadowski; Philip D Charles; Svenja V Hester; Kathryn S Lilley
Journal:  Mol Cell Proteomics       Date:  2010-04-10       Impact factor: 5.911

Review 2.  Overcoming key technological challenges in using mass spectrometry for mapping cell surfaces in tissues.

Authors:  Noelle M Griffin; Jan E Schnitzer
Journal:  Mol Cell Proteomics       Date:  2010-06-14       Impact factor: 5.911

Review 3.  Quantitative strategies to fuel the merger of discovery and hypothesis-driven shotgun proteomics.

Authors:  Kelli G Kline; Greg L Finney; Christine C Wu
Journal:  Brief Funct Genomic Proteomic       Date:  2009-03

4.  Targeting and imaging signature caveolar molecules in lungs.

Authors:  Kerri A Massey; Jan E Schnitzer
Journal:  Proc Am Thorac Soc       Date:  2009-08-15

5.  iTRAQ quantitative proteomics in the analysis of tears in dry eye patients.

Authors:  Sruthi Srinivasan; Mirunalni Thangavelu; Liwen Zhang; Kari B Green; Kelly K Nichols
Journal:  Invest Ophthalmol Vis Sci       Date:  2012-07-31       Impact factor: 4.799

6.  Biotin tagging coupled with amino acid-coded mass tagging for efficient and precise screening of interaction proteome in mammalian cells.

Authors:  Yu-Fei He; Hui-Min Bao; Xiao-Feng Xiao; Shuai Zuo; Ru-Yun Du; Si-Wei Tang; Peng-Yuan Yang; Xian Chen
Journal:  Proteomics       Date:  2009-12       Impact factor: 3.984

7.  In vivo measurement of synthesis rate of individual skeletal muscle mitochondrial proteins.

Authors:  Abdul Jaleel; Kevin R Short; Yan W Asmann; Katherine A Klaus; Dawn M Morse; G Charles Ford; K Sreekumaran Nair
Journal:  Am J Physiol Endocrinol Metab       Date:  2008-09-02       Impact factor: 4.310

Review 8.  The use of neuroproteomics in drug abuse research.

Authors:  Melinda E Lull; Willard M Freeman; Heather D VanGuilder; Kent E Vrana
Journal:  Drug Alcohol Depend       Date:  2009-11-17       Impact factor: 4.492

Review 9.  Applications of proteomics in the study of inflammatory bowel diseases: Current status and future directions with available technologies.

Authors:  Philip Alex; Marjan Gucek; Xuhang Li
Journal:  Inflamm Bowel Dis       Date:  2009-04       Impact factor: 5.325

10.  Apolipoprotein A-IV, a putative satiety/antiatherogenic factor, rises after gastric bypass.

Authors:  Derek M Culnan; Robert N Cooney; Bruce Stanley; Christopher J Lynch
Journal:  Obesity (Silver Spring)       Date:  2008-10-23       Impact factor: 5.002

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