Literature DB >> 14662320

The potential for proteomic definition of stem cell populations.

Richard D Unwin1, Simon J Gaskell, Caroline A Evans, Anthony D Whetton.   

Abstract

Embryonic and adult stem cell populations have great potential value in medicine, and hematopoietic stem cells are already being used in transplantation. Definition of these populations to increase our understanding of the programs that control differentiation, self-renewal, and possibly plasticity would be of great interest. The relative quantitation of transcriptional activity in stem cells and other populations has defined a profile of gene expression activity in stem cells. Confirmation that these differences have an impact on protein levels within stem cells via their complete protein complement and protein interactions will enable further understanding of regulatory processes in these cells. The recent developments in proteomics and their potential application to the definition of the stem cell proteome are discussed, and examples are given. Advances in mass spectrometry, subcellular prefractionation protocols, and electrophoresis that make stem cell proteomics a tractable problem are discussed. Beyond the proteome per se, advances in post-translational modification profiling mean that comparative analysis of phosphorylation patterns between stem cells and other populations can be approached.

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Year:  2003        PMID: 14662320     DOI: 10.1016/j.exphem.2003.08.012

Source DB:  PubMed          Journal:  Exp Hematol        ISSN: 0301-472X            Impact factor:   3.084


  9 in total

1.  Large scale phosphoproteome profiles comprehensive features of mouse embryonic stem cells.

Authors:  Qing-Run Li; Xiao-Bin Xing; Tao-Tao Chen; Rong-Xia Li; Jie Dai; Quan-Hu Sheng; Shun-Mei Xin; Li-Li Zhu; Ying Jin; Gang Pei; Jiu-Hong Kang; Yi-Xue Li; Rong Zeng
Journal:  Mol Cell Proteomics       Date:  2010-12-13       Impact factor: 5.911

2.  Protruding disordered loop of gC1qR is specifically exposed and related to antiapoptotic property in germ cell lineage.

Authors:  Sohei Kitazawa; Atsushi Takenaka; Takeshi Kondo; Akira Mizoguchi; Riko Kitazawa
Journal:  Histochem Cell Biol       Date:  2006-07-27       Impact factor: 4.304

3.  An efficient method of sorting liver stem cells by using immuno-magnetic microbeads.

Authors:  Yu-Fei He; Yin-Kun Liu; Dong-Mei Gao; Jun Chen; Peng-Yuan Yang
Journal:  World J Gastroenterol       Date:  2006-05-21       Impact factor: 5.742

4.  Distinct cardiogenic preferences of two human embryonic stem cell (hESC) lines are imprinted in their proteomes in the pluripotent state.

Authors:  Jennifer C Moore; Jidong Fu; Yau-Chi Chan; Dawei Lin; Ha Tran; Hung-Fat Tse; Ronald A Li
Journal:  Biochem Biophys Res Commun       Date:  2008-05-27       Impact factor: 3.575

Review 5.  Deeply dissecting stemness: making sense to non-coding RNAs in stem cells.

Authors:  Shizuka Uchida; Pascal Gellert; Thomas Braun
Journal:  Stem Cell Rev Rep       Date:  2012-03       Impact factor: 5.739

Review 6.  Transcriptomics and proteomics in stem cell research.

Authors:  Hai Wang; Qian Zhang; Xiangdong Fang
Journal:  Front Med       Date:  2014-06-27       Impact factor: 4.592

Review 7.  Protein kinases and associated pathways in pluripotent state and lineage differentiation.

Authors:  Melina Shoni; Kathy O Lui; Demetrios G Vavvas; Michael G Muto; Ross S Berkowitz; Nikolaos Vlahos; Shu-Wing Ng
Journal:  Curr Stem Cell Res Ther       Date:  2014       Impact factor: 3.828

8.  Comparative proteomic analysis of supportive and unsupportive extracellular matrix substrates for human embryonic stem cell maintenance.

Authors:  Despina Soteriou; Banu Iskender; Adam Byron; Jonathan D Humphries; Simon Borg-Bartolo; Marie-Claire Haddock; Melissa A Baxter; David Knight; Martin J Humphries; Susan J Kimber
Journal:  J Biol Chem       Date:  2013-05-08       Impact factor: 5.157

9.  Effect of 5-azacytidine on the protein expression of porcine bone marrow mesenchymal stem cells in vitro.

Authors:  Neng-Sheng Ye; Rong-Li Zhang; Yan-Feng Zhao; Xue Feng; Yi-Ming Wang; Guo-An Luo
Journal:  Genomics Proteomics Bioinformatics       Date:  2006-02       Impact factor: 7.691

  9 in total

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