Literature DB >> 25478288

Current Bioinformatics Challenges in Proteome Dynamics using Heavy Water-based Metabolic Labeling.

Takhar Kasumov1, Belinda Willard2, Rovshan G Sadygov3.   

Abstract

Entities:  

Keywords:  heavy water labeling; high resolution and mass accuracy mass spectrometry; mass spectral profile integration; proteome dynamics; stable isotope labeling

Year:  2014        PMID： 25478288      PMCID： PMC4251496          DOI： 10.4172/2153-0602.1000e112

Source DB:  PubMed          Journal:  J Data Mining Genomics Proteomics


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  11 in total

Review 1.  Measuring in vivo metabolism using heavy water.

Authors:  Danielle Dufner; Stephen F Previs
Journal:  Curr Opin Clin Nutr Metab Care       Date:  2003-09       Impact factor: 4.294

2.  Determination of protein replacement rates by deuterated water: validation of underlying assumptions.

Authors:  Emmanuelle Belloto; Frédérique Diraison; Alexandra Basset; Gwenola Allain; Pauline Abdallah; Michel Beylot
Journal:  Am J Physiol Endocrinol Metab       Date:  2007-01-16       Impact factor: 4.310

Review 3.  Proteome dynamics: revisiting turnover with a global perspective.

Authors:  Amy J Claydon; Robert Beynon
Journal:  Mol Cell Proteomics       Date:  2012-11-02       Impact factor: 5.911

4.  Plasma proteome dynamics: analysis of lipoproteins and acute phase response proteins with 2H2O metabolic labeling.

Authors:  Ling Li; Belinda Willard; Nadia Rachdaoui; John P Kirwan; Rovshan G Sadygov; William C Stanley; Stephen Previs; Arthur J McCullough; Takhar Kasumov
Journal:  Mol Cell Proteomics       Date:  2012-03-05       Impact factor: 5.911

5.  Comparison of Programmatic Approaches for Efficient Accessing to mzML Files.

Authors:  Miroslaw J Gilski; Rovshan G Sadygov
Journal:  J Data Mining Genomics Proteomics       Date:  2011-01-01

6.  Using power spectrum analysis to evaluate (18)O-water labeling data acquired from low resolution mass spectrometers.

Authors:  Rovshan G Sadygov; Yingxin Zhao; Sigmund J Haidacher; Jonathan M Starkey; Ronald G Tilton; Larry Denner
Journal:  J Proteome Res       Date:  2010-08-06       Impact factor: 4.466

7.  Metabolic labeling reveals proteome dynamics of mouse mitochondria.

Authors:  Tae-Young Kim; Ding Wang; Allen K Kim; Edward Lau; Amanda J Lin; David A Liem; Jun Zhang; Nobel C Zong; Maggie P Y Lam; Peipei Ping
Journal:  Mol Cell Proteomics       Date:  2012-08-21       Impact factor: 5.911

8.  2H2O-based high-density lipoprotein turnover method for the assessment of dynamic high-density lipoprotein function in mice.

Authors:  Takhar Kasumov; Belinda Willard; Ling Li; Min Li; Heather Conger; Jennifer A Buffa; Stephen Previs; Arthur McCullough; Stanley L Hazen; Jonathan D Smith
Journal:  Arterioscler Thromb Vasc Biol       Date:  2013-06-13       Impact factor: 8.311

9.  The PINK1-Parkin pathway promotes both mitophagy and selective respiratory chain turnover in vivo.

Authors:  Evelyn S Vincow; Gennifer Merrihew; Ruth E Thomas; Nicholas J Shulman; Richard P Beyer; Michael J MacCoss; Leo J Pallanck
Journal:  Proc Natl Acad Sci U S A       Date:  2013-03-18       Impact factor: 11.205

10.  A quantitative spatial proteomics analysis of proteome turnover in human cells.

Authors:  François-Michel Boisvert; Yasmeen Ahmad; Marek Gierliński; Fabien Charrière; Douglas Lamont; Michelle Scott; Geoff Barton; Angus I Lamond
Journal:  Mol Cell Proteomics       Date:  2011-09-21       Impact factor: 5.911
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