Literature DB >> 16507774

Quantitative proteomics reveals posttranslational control as a regulatory factor in primary hematopoietic stem cells.

Richard D Unwin1, Duncan L Smith, David Blinco, Claire L Wilson, Crispin J Miller, Caroline A Evans, Ewa Jaworska, Stephen A Baldwin, Kay Barnes, Andrew Pierce, Elaine Spooncer, Anthony D Whetton.   

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.

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Year:  2006        PMID: 16507774     DOI: 10.1182/blood-2005-12-4995

Source DB:  PubMed          Journal:  Blood        ISSN: 0006-4971            Impact factor:   22.113


  68 in total

1.  In silico analyses of proteomic data suggest a role for heat shock proteins in umbilical cord blood hematopoietic stem cells.

Authors:  Angelo D'Alessandro; Giuliano Grazzini; Bruno Giardina; Lello Zolla
Journal:  Stem Cell Rev Rep       Date:  2010-12       Impact factor: 5.739

2.  Simultaneous analysis of relative protein expression levels across multiple samples using iTRAQ isobaric tags with 2D nano LC-MS/MS.

Authors:  Richard D Unwin; John R Griffiths; Anthony D Whetton
Journal:  Nat Protoc       Date:  2010-08-26       Impact factor: 13.491

3.  A multiplexed proteomics approach to differentiate neurite outgrowth patterns.

Authors:  Tong Liu; Veera D'mello; Longwen Deng; Jun Hu; Michael Ricardo; Sanqiang Pan; Xiaodong Lu; Scott Wadsworth; John Siekierka; Raymond Birge; Hong Li
Journal:  J Neurosci Methods       Date:  2006-06-23       Impact factor: 2.390

4.  Transcriptome and proteome profiling to understanding the biology of high productivity CHO cells.

Authors:  Peter Morin Nissom; Arleen Sanny; Yee Jiun Kok; Yeo Thong Hiang; Song Hui Chuah; Tan Kher Shing; Yih Yean Lee; Kathy Tin Kam Wong; Wei-Shou Hu; Miranda Yap Gek Sim; Robin Philp
Journal:  Mol Biotechnol       Date:  2006-10       Impact factor: 2.695

5.  CD34+ hematopoietic stem-progenitor cell microRNA expression and function: a circuit diagram of differentiation control.

Authors:  Robert W Georgantas; Richard Hildreth; Sebastien Morisot; Jonathan Alder; Chang-gong Liu; Shelly Heimfeld; George A Calin; Carlo M Croce; Curt I Civin
Journal:  Proc Natl Acad Sci U S A       Date:  2007-02-09       Impact factor: 11.205

6.  Distribution of hematopoietic stem cells in the bone marrow according to regional hypoxia.

Authors:  Kalindi Parmar; Peter Mauch; Jo-Anne Vergilio; Robert Sackstein; Julian D Down
Journal:  Proc Natl Acad Sci U S A       Date:  2007-03-20       Impact factor: 11.205

Review 7.  Proteomics: applications in transfusion medicine.

Authors:  Giancarlo Maria Liumbruno
Journal:  Blood Transfus       Date:  2008-04       Impact factor: 3.443

8.  Quantitative proteomics analysis of chondrogenic differentiation of C3H10T1/2 mesenchymal stem cells by iTRAQ labeling coupled with on-line two-dimensional LC/MS/MS.

Authors:  Yu-hua Ji; Ju-ling Ji; Fen-yong Sun; Yao-ying Zeng; Xian-hui He; Jing-xian Zhao; Yu Yu; Shou-he Yu; Wei Wu
Journal:  Mol Cell Proteomics       Date:  2009-12-15       Impact factor: 5.911

9.  Quantification of protein expression changes in the aging left ventricle of Rattus norvegicus.

Authors:  Jennifer E Grant; Amy D Bradshaw; John H Schwacke; Catalin F Baicu; Michael R Zile; Kevin L Schey
Journal:  J Proteome Res       Date:  2009-09       Impact factor: 4.466

10.  Quantitative proteomic profiling of host-pathogen interactions: the macrophage response to Mycobacterium tuberculosis lipids.

Authors:  Wenqing Shui; Sarah A Gilmore; Leslie Sheu; Jun Liu; Jay D Keasling; Carolyn R Bertozzi
Journal:  J Proteome Res       Date:  2009-01       Impact factor: 4.466

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