Literature DB >> 22949036

Combination of FASP and fully automated 2D-LC-MS/MS allows in-depth proteomic characterization of mouse zymogen granules.

Xionghua Sun1, Xiaogang Jiang.   

Abstract

Zymogen granule (ZG) constituents play important roles in pancreatic injury and disease. In previous studies, proteomic analyses with rat zymogen granules were separated by two-dimensional gel electrophoresis or one-dimensional SDS-PAGE, followed by in-gel tryptic digestion. In order to overcome the disadvantage of in-gel digestion and to carry out further in-depth proteomic analysis of the zymogen granules, in this study, by combining a filter-aided sample preparation method and fully automated 2D-LC-MS/MS technique, 800 ZG proteins were identified with at least two unique peptides for each protein, 75% of which have not been previously reported. The identified proteins revealed broad diversity in protein identity and function. This is the largest dataset of ZG proteome, and also the first dataset of the mouse ZG proteome, which may help elucidate on the molecular architecture of ZGs and their functions.
Copyright © 2012 John Wiley & Sons, Ltd.

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Year:  2012        PMID: 22949036     DOI: 10.1002/bmc.2805

Source DB:  PubMed          Journal:  Biomed Chromatogr        ISSN: 0269-3879            Impact factor:   1.902


  3 in total

1.  MIST1 and PTF1 Collaborate in Feed-Forward Regulatory Loops That Maintain the Pancreatic Acinar Phenotype in Adult Mice.

Authors:  Mei Jiang; Ana C Azevedo-Pouly; Tye G Deering; Chinh Q Hoang; Daniel DiRenzo; David A Hess; Stephen F Konieczny; Galvin H Swift; Raymond J MacDonald
Journal:  Mol Cell Biol       Date:  2016-11-14       Impact factor: 4.272

2.  iFASP: combining isobaric mass tagging with filter-aided sample preparation.

Authors:  Gary S McDowell; Aleksandr Gaun; Hanno Steen
Journal:  J Proteome Res       Date:  2013-07-22       Impact factor: 4.466

3.  Quantitative proteomic analysis of intracerebral hemorrhage in rats with a focus on brain energy metabolism.

Authors:  Tao Liu; Jing Zhou; Hanjin Cui; Pengfei Li; Haigang Li; Yang Wang; Tao Tang
Journal:  Brain Behav       Date:  2018-10-11       Impact factor: 2.708

  3 in total

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