Systematic Proteome and Transcriptome Analysis of Stem Cell Populations.
From: Stem Cell and Leukaemia Proteomics Laboratory, University of Manchester, Kinnaird House, Manchester, UK.
Cell cycle (Georgetown, Tex.)
- Publish Date: Aug 2006
- ISSN: 1551-4005
- Volume: 5
- Issue: 15
- Pages: 1587-91
- Medium: Internet
- Language: English
- Citation (JAMA): Unwin Richard D, Whetton Anthony D, et al. Systematic Proteome and Transcriptome Analysis of Stem Cell Populations.. Cell Cycle Aug 2006;5:1587-91
Abstract
Methods for relative assessment of the transcriptional activity of the cell are now routinely employed and obtain large amounts of information regarding process such as transformation or development. These approaches have great impact and are of significant value. Nonetheless, mRNA is an intermediate in the process of protein synthesis and changes in mRNA expression do not reflect absolute or relative changes in protein levels. The mechanisms which translate mRNA to protein are highly regulated, and it remains unclear how the transcriptome reflects the functional state of the cell, as defined by its protein output. Large scale analyses of the proteome are now becoming a reality due to technical advances in protein arrays and mass spectrometry. Thus for the first time data on large numbers of mRNA transcripts and the levels of expression of their associated proteins is available in dynamic systems. Analysis of one such comparison, the transcriptome and proteome of primary haematopoietic stem cells, reveals post-translational regulation of the proteome in stem cell populations. The factors which must be considered when comparing two systematically acquired ‘omics’ datasets are reviewed and the relative merits of transcriptome and proteome approaches are discussed.
Mesh Headings (Keywords): Animals, Humans, Proteome, Proteomics, Stem Cells, Transcription, Genetic
Check for Full Text / PubMed Unique Identifier (PMID): 16861929
This abstract is part of PubMed, a service of the U.S. National Library of Medicine. PubMed includes more than 17 million citations from MEDLINE and other life science journals for biomedical articles. See Copyright and Disclaimers.
Linked medical terms appearing on this page are added by Healia to help readers find more information and are not part of the original PubMed document.
The data herein was last updated on July 8th, 2008 and may not reflect the most current and accurate data available from NLM.