Identification of a membrane proteomic signature for human embryonic stem cells independent of culture conditions

Harkness, Linda, Christiansen, Helle, Nehlin, Jan, Barington, Torben, Andersen, Jens S. and Kassem, Moustapha (2008) Identification of a membrane proteomic signature for human embryonic stem cells independent of culture conditions. Stem Cell Research, 1 3: 219-227. doi:10.1016/j.scr.2008.06.001


Author Harkness, Linda
Christiansen, Helle
Nehlin, Jan
Barington, Torben
Andersen, Jens S.
Kassem, Moustapha
Title Identification of a membrane proteomic signature for human embryonic stem cells independent of culture conditions
Journal name Stem Cell Research   Check publisher's open access policy
ISSN 1873-5061
1876-7753
Publication date 2008-09-01
Year available 2008
Sub-type Article (original research)
DOI 10.1016/j.scr.2008.06.001
Open Access Status DOI
Volume 1
Issue 3
Start page 219
End page 227
Total pages 9
Place of publication Amsterdam, Netherlands
Publisher Elsevier
Language eng
Formatted abstract
Proteomic profiling of human embryonic stem cells (hESC) can identify cell fate determination and self-renewal biomarkers. Employing Fourier transform LC-ESI-MS/MS and MS3 mass spectrometry, we obtained a membrane proteomic signature overlapping between hESC cultured on mouse embryonic fibroblast (MEF) feeders and those grown under MEF-free culture conditions. We identified 444 transmembrane or membrane-associated proteins, of which 157 were common between both culture conditions. Functional annotation revealed CD antigens (10%), adhesion proteins (4%), proliferation-associated proteins (4%), receptors (41%), transport proteins (21%), structural proteins (5%), and proteins with miscellaneous functions (15%). In addition, 15 CD antigens and a number of surface marker molecules not previously observed in hESC at a proteome level, e.g., Nodal modulator 1, CD222, transgelin-2, and CD81, were identified. In conclusion, we describe the first membrane proteome profile of hESC that is independent of culture conditions. These data can be used to define the phenotype of hESC.
Keyword Cell & Tissue Engineering
Biotechnology & Applied Microbiology
Cell Biology
Cell Biology
Biotechnology & Applied Microbiology
BIOTECHNOLOGY & APPLIED MICROBIOLOGY
CELL & TISSUE ENGINEERING
CELL BIOLOGY
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status Unknown

Document type: Journal Article
Sub-type: Article (original research)
Collection: Australian Institute for Bioengineering and Nanotechnology Publications
 
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Created: Thu, 24 Sep 2015, 01:41:13 EST by Linda Harkness on behalf of Aust Institute for Bioengineering & Nanotechnology