Literature DB >> 15711547

Uncovering regulatory pathways that affect hematopoietic stem cell function using 'genetical genomics'.

Leonid Bystrykh1, Ellen Weersing, Bert Dontje, Sue Sutton, Mathew T Pletcher, Tim Wiltshire, Andrew I Su, Edo Vellenga, Jintao Wang, Kenneth F Manly, Lu Lu, Elissa J Chesler, Rudi Alberts, Ritsert C Jansen, Robert W Williams, Michael P Cooke, Gerald de Haan.   

Abstract

We combined large-scale mRNA expression analysis and gene mapping to identify genes and loci that control hematopoietic stem cell (HSC) function. We measured mRNA expression levels in purified HSCs isolated from a panel of densely genotyped recombinant inbred mouse strains. We mapped quantitative trait loci (QTLs) associated with variation in expression of thousands of transcripts. By comparing the physical transcript position with the location of the controlling QTL, we identified polymorphic cis-acting stem cell genes. We also identified multiple trans-acting control loci that modify expression of large numbers of genes. These groups of coregulated transcripts identify pathways that specify variation in stem cells. We illustrate this concept with the identification of candidate genes involved with HSC turnover. We compared expression QTLs in HSCs and brain from the same mice and identified both shared and tissue-specific QTLs. Our data are accessible through WebQTL, a web-based interface that allows custom genetic linkage analysis and identification of coregulated transcripts.

Entities:  

Mesh:

Substances:

Year:  2005        PMID: 15711547     DOI: 10.1038/ng1497

Source DB:  PubMed          Journal:  Nat Genet        ISSN: 1061-4036            Impact factor:   38.330


  169 in total

1.  Gfer is a critical regulator of HSC proliferation.

Authors:  Uma Sankar; Anthony R Means
Journal:  Cell Cycle       Date:  2011-07-15       Impact factor: 4.534

Review 2.  Systems genetics, bioinformatics and eQTL mapping.

Authors:  Hong Li; Hongwen Deng
Journal:  Genetica       Date:  2010-09-03       Impact factor: 1.082

3.  Identifying Genomic Regulators of Set-Wise Co-Expression.

Authors:  Jung Hoon Woo; Tian Zheng; Ju Han Kim
Journal:  Proc IEEE Int Symp Bioinformatics Bioeng       Date:  2007-10

Review 4.  Overview of techniques to account for confounding due to population stratification and cryptic relatedness in genomic data association analyses.

Authors:  M J Sillanpää
Journal:  Heredity (Edinb)       Date:  2010-07-14       Impact factor: 3.821

5.  A genetical genomics approach to genome scans increases power for QTL mapping.

Authors:  Guoying Sun; Paul Schliekelman
Journal:  Genetics       Date:  2010-12-31       Impact factor: 4.562

6.  A systems genetic analysis of alcohol drinking by mice, rats and men: influence of brain GABAergic transmission.

Authors:  Laura M Saba; Beth Bennett; Paula L Hoffman; Kelsey Barcomb; Takao Ishii; Katerina Kechris; Boris Tabakoff
Journal:  Neuropharmacology       Date:  2010-12-23       Impact factor: 5.250

Review 7.  Computational tools for discovery and interpretation of expression quantitative trait loci.

Authors:  Fred A Wright; Andrey A Shabalin; Ivan Rusyn
Journal:  Pharmacogenomics       Date:  2012-02       Impact factor: 2.533

8.  A statistical multiprobe model for analyzing cis and trans genes in genetical genomics experiments with short-oligonucleotide arrays.

Authors:  Rudi Alberts; Peter Terpstra; Leonid V Bystrykh; Gerald de Haan; Ritsert C Jansen
Journal:  Genetics       Date:  2005-08-03       Impact factor: 4.562

9.  Optimal design and analysis of genetic studies on gene expression.

Authors:  Jingyuan Fu; Ritsert C Jansen
Journal:  Genetics       Date:  2005-12-15       Impact factor: 4.562

Review 10.  A review of statistical methods for expression quantitative trait loci mapping.

Authors:  Christina Kendziorski; Ping Wang
Journal:  Mamm Genome       Date:  2006-06-12       Impact factor: 2.957

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.