Literature DB >> 18846507

Quantitative phosphoproteome analysis of a mouse liver cell line reveals specificity of phosphatase inhibitors.

Cuiping Pan1, Florian Gnad, Jesper V Olsen, Matthias Mann.   

Abstract

The liver is a central organ involved in many aspects of physiology and disease. Signaling properties of hepatocytes, the main liver cell type, are of special interest in metabolic diseases and in regeneration. For this reason we investigated the phosphoproteome of the mouse liver cell line Hepa1-6 by stable isotope labeling by amino acids in cell culture (SILAC) and high resolution MS. Using stringent statistical evaluation criteria, we obtained 5433 phosphorylation sites on 1808 proteins. The phosphoproteome encompasses all major protein classes, including a large number of transcription factors. We compared control and phosphatase inhibitor treated cells by SILAC. This enabled ready identification of in vivo phosphorylation sites by sequencing the more abundant, inhibitor induced version of the peptide while still observing the endogenous version. We employed a mixture of pervanadate for blocking protein tyrosine phosphatases (PTPs) and calyculin A and deltamethrin for blocking the activities of serine/threonine phosphatases. Interestingly, these commonly used inhibitors in standard concentrations affected only 28% of the phosphopeptides by at least two-fold. The unaffected sites may be substrates of phosphatases that are not efficiently inhibited, have slow kinetic or sites that are almost stoichiometric in normally growing cells. Finally, we devised a triple labeling strategy comprising control cells, stimulated cells, and phosphatase treated cells to derive an upper bound on phosphorylation occupancy.

Entities:  

Mesh:

Substances:

Year:  2008        PMID: 18846507     DOI: 10.1002/pmic.200800105

Source DB:  PubMed          Journal:  Proteomics        ISSN: 1615-9853            Impact factor:   3.984


  40 in total

Review 1.  Decoding signalling networks by mass spectrometry-based proteomics.

Authors:  Chunaram Choudhary; Matthias Mann
Journal:  Nat Rev Mol Cell Biol       Date:  2010-05-12       Impact factor: 94.444

2.  Phosphoproteome analysis reveals regulatory sites in major pathways of cardiac mitochondria.

Authors:  Ning Deng; Jun Zhang; Chenggong Zong; Yueju Wang; Haojie Lu; Pengyuan Yang; Wenhai Wang; Glen W Young; Yibin Wang; Paavo Korge; Christopher Lotz; Philip Doran; David A Liem; Rolf Apweiler; James N Weiss; Huilong Duan; Peipei Ping
Journal:  Mol Cell Proteomics       Date:  2010-05-22       Impact factor: 5.911

3.  Phosphoproteomic analysis of protein phosphorylation networks in Tetrahymena thermophila, a model single-celled organism.

Authors:  Miao Tian; Xiulan Chen; Qian Xiong; Jie Xiong; Chuanle Xiao; Feng Ge; Fuquan Yang; Wei Miao
Journal:  Mol Cell Proteomics       Date:  2013-11-07       Impact factor: 5.911

4.  Online nanoflow multidimensional fractionation for high efficiency phosphopeptide analysis.

Authors:  Scott B Ficarro; Yi Zhang; Marlene J Carrasco-Alfonso; Brijesh Garg; Guillaume Adelmant; James T Webber; C John Luckey; Jarrod A Marto
Journal:  Mol Cell Proteomics       Date:  2011-07-25       Impact factor: 5.911

5.  New role for EMD (emerin), a key inner nuclear membrane protein, as an enhancer of autophagosome formation in the C16-ceramide autophagy pathway.

Authors:  Céline Deroyer; Anne-Françoise Rénert; Marie-Paule Merville; Marianne Fillet
Journal:  Autophagy       Date:  2014-05-07       Impact factor: 16.016

6.  Multiple myeloma phosphotyrosine proteomic profile associated with FGFR3 expression, ligand activation, and drug inhibition.

Authors:  Jonathan R St-Germain; Paul Taylor; Jiefei Tong; Lily L Jin; Ana Nikolic; Ian I Stewart; Robert M Ewing; Moyez Dharsee; Zhihua Li; Suzanne Trudel; Michael F Moran
Journal:  Proc Natl Acad Sci U S A       Date:  2009-11-09       Impact factor: 11.205

7.  The phosphoproteome of toll-like receptor-activated macrophages.

Authors:  Gabriele Weintz; Jesper V Olsen; Katja Frühauf; Magdalena Niedzielska; Ido Amit; Jonathan Jantsch; Jörg Mages; Cornelie Frech; Lars Dölken; Matthias Mann; Roland Lang
Journal:  Mol Syst Biol       Date:  2010-06-08       Impact factor: 11.429

8.  Global effects of kinase inhibitors on signaling networks revealed by quantitative phosphoproteomics.

Authors:  Cuiping Pan; Jesper V Olsen; Henrik Daub; Matthias Mann
Journal:  Mol Cell Proteomics       Date:  2009-08-03       Impact factor: 5.911

9.  Cooperativity within proximal phosphorylation sites is revealed from large-scale proteomics data.

Authors:  Regev Schweiger; Michal Linial
Journal:  Biol Direct       Date:  2010-01-26       Impact factor: 4.540

10.  Systems-wide analysis of a phosphatase knock-down by quantitative proteomics and phosphoproteomics.

Authors:  Maximiliane Hilger; Tiziana Bonaldi; Florian Gnad; Matthias Mann
Journal:  Mol Cell Proteomics       Date:  2009-05-09       Impact factor: 5.911

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.