Quantitative Proteomics Reveals Posttranslational Control As a Regulatory Factor in Primary Hematopoietic Stem Cells.
From: Stem Cell and Leukaemia Proteomics Laboratory, Faculty of Medical and Human Sciences, University of Manchester, Manchester M20 4QL, UK.
Blood
- Publish Date: Jun 2006
- ISSN: 0006-4971
- Volume: 107
- Issue: 12
- Pages: 4687-94
- Medium: Print
- Language: English
- Citation (JAMA): Unwin Richard D, Smith Duncan L, Blinco David, et al. Quantitative Proteomics Reveals Posttranslational Control As a Regulatory Factor in Primary Hematopoietic Stem Cells.. Blood Jun 2006;107:4687-94
Abstract
The proteome is determined by rates of transcription, translation, and protein turnover. Definition of stem cell populations therefore requires a stem cell proteome signature. However, the limit to the number of primary cells available has restricted extensive proteomic analysis. We present a mass spectrometric method using an isobaric covalent modification of peptides for relative quantification (iTRAQ), which was employed to compare the proteomes of approximately 1 million long-term reconstituting hematopoietic stem cells (Lin(-)Sca(+)Kit(+); LSK(+)) and non-long-term reconstituting progenitor cells (Lin(-)Sca(+)Kit(-); LSK(-)), respectively. Extensive 2-dimensional liquid chromatography (LC) peptide separation prior to mass spectrometry (MS) enabled enhanced proteome coverage with relative quantification of 948 proteins. Of the 145 changes in the proteome, 54% were not seen in the transcriptome. Hypoxia-related changes in proteins controlling metabolism and oxidative protection were observed, indicating that LSK(+) cells are adapted for anaerobic environments. This approach can define proteomic changes in primary samples, thereby characterizing the molecular signature of stem cells and their progeny.
Mesh Headings (Keywords): Animals, Cell Hypoxia, Chromatography, Liquid, Hematopoietic Stem Cells, Mass Spectrometry, Mice, Oxidation-Reduction, Protein Processing, Post-Translational, Proteome, Proteomics
Check for Full Text / PubMed Unique Identifier (PMID): 16507774
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