Literature DB >> 17693247

Is proteomics the new genomics?

Jürgen Cox1, Matthias Mann.   

Abstract

Mass spectrometry (MS)-based proteomics has become a formidable tool for the investigation of posttranslational modifications to proteins, protein interactions, and organelles. Is it now ready to tackle comprehensive protein expression analysis?

Mesh：

Year:  2007        PMID： 17693247     DOI： 10.1016/j.cell.2007.07.032

Source DB:  PubMed          Journal:  Cell        ISSN： 0092-8674            Impact factor:   41.582


  116 in total

Review 1.  The grand challenge to decipher the cancer proteome.

Authors:  Samir Hanash; Ayumu Taguchi
Journal:  Nat Rev Cancer       Date:  2010-09       Impact factor: 60.716

2.  A systemic network for Chlamydia pneumoniae entry into human cells.

Authors:  Anyou Wang; S Claiborne Johnston; Joyce Chou; Deborah Dean
Journal:  J Bacteriol       Date:  2010-03-16       Impact factor: 3.490

3.  The SILAC fly allows for accurate protein quantification in vivo.

Authors:  Matthias D Sury; Jia-Xuan Chen; Matthias Selbach
Journal:  Mol Cell Proteomics       Date:  2010-06-05       Impact factor: 5.911

Review 4.  Proteomics of spermatogenesis: from protein lists to understanding the regulation of male fertility and infertility.

Authors:  Xiao-Yan Huang; Jia-Hao Sha
Journal:  Asian J Androl       Date:  2010-11-15       Impact factor: 3.285

5.  Identification of NaCl stress-responsive apoplastic proteins in rice shoot stems by 2D-DIGE.

Authors:  Yun Song; Cuijun Zhang; Weina Ge; Yafang Zhang; Alma L Burlingame; Yi Guo
Journal:  J Proteomics       Date:  2011-03-21       Impact factor: 4.044

6.  A road map of cellular protein homeostasis.

Authors:  Xiaolu L Ang; J Wade Harper
Journal:  Nat Chem Biol       Date:  2009-01       Impact factor: 15.040

7.  A practical guide to the MaxQuant computational platform for SILAC-based quantitative proteomics.

Authors:  Jürgen Cox; Ivan Matic; Maximiliane Hilger; Nagarjuna Nagaraj; Matthias Selbach; Jesper V Olsen; Matthias Mann
Journal:  Nat Protoc       Date:  2009       Impact factor: 13.491

8.  Application of label-free quantitative peptidomics for the identification of urinary biomarkers of kidney chronic allograft dysfunction.

Authors:  Luis F Quintana; Josep M Campistol; Maria P Alcolea; Elisenda Bañon-Maneus; Amandaé Sol-González; Pedro R Cutillas
Journal:  Mol Cell Proteomics       Date:  2009-04-07       Impact factor: 5.911

Review 9.  Top Down proteomics: facts and perspectives.

Authors:  Adam D Catherman; Owen S Skinner; Neil L Kelleher
Journal:  Biochem Biophys Res Commun       Date:  2014-02-17       Impact factor: 3.575

10.  The knowledge-integrated network biomarkers discovery for major adverse cardiac events.

Authors:  Guangxu Jin; Xiaobo Zhou; Honghui Wang; Hong Zhao; Kemi Cui; Xiang-Sun Zhang; Luonan Chen; Stanley L Hazen; King Li; Stephen T C Wong
Journal:  J Proteome Res       Date:  2008-07-30       Impact factor: 4.466
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.