Literature DB >> 12200366

A genetic and genomic analysis identifies a cluster of genes associated with hematopoietic cell turnover.

Gerald de Haan1, Leonid V Bystrykh, Ellen Weersing, Bert Dontje, Hartmut Geiger, Natalia Ivanova, Ihor R Lemischka, Edo Vellenga, Gary Van Zant.   

Abstract

Hematopoietic stem cells from different strains of mice vary widely with respect to their cell cycle activity. In the present study we used complementary genetic and genomic approaches to identify molecular pathways affecting this complex trait. We identified a major quantitative trait locus (QTL) associated with variation in cell proliferation in C57BL/6 and DBA/2 mice to a 10 centimorgan (cM) region on chromosome 11. A congenic mouse model confirmed that a genomic interval on chromosome 11 in isolation confers the proliferation phenotype. To detect candidate genes we performed subtractive hybridizations and gene arrays using cDNA from highly enriched stem cells from parental strains. Intriguingly, a disproportionate number of differentially expressed genes mapped to chromosome 11 and, more specifically, these transcripts occurred in 3 distinct clusters. The largest cluster colocalized exactly with the cell cycling QTL. Such clustering suggested the involvement of genetic variation that affects higher-order chromosomal organization. This hypothesis was reinforced by the fact that differentially expressed genes mapped to recombination "coldspots," as a consequence of which clustered genes are collectively inherited. These findings suggest the functional interdependence of these closely linked genes. Our data are consistent with the hypothesis that this isolated cell cycle QTL does not result from a mutation in a single gene but rather is a consequence of variable expression of a collection of highly linked genes.

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Year:  2002        PMID: 12200366     DOI: 10.1182/blood-2002-03-0808

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


  24 in total

1.  Genomic mapping of direct and correlated responses to long-term selection for rapid growth rate in mice.

Authors:  Mark F Allan; Eugene J Eisen; Daniel Pomp
Journal:  Genetics       Date:  2005-06-08       Impact factor: 4.562

2.  QTL influencing baseline hematocrit in the C57BL/6J and DBA/2J lineage: age-related effects.

Authors:  Frank Johannes; David A Blizard; Arimantas Lionikas; Dena H Lang; David J Vandenbergh; Joseph T Stout; James A Strauss; Gerald E McClearn; George P Vogler
Journal:  Mamm Genome       Date:  2006-06-12       Impact factor: 2.957

3.  Quantitative trait loci analysis of structural and material skeletal phenotypes in C57BL/6J and DBA/2 second-generation and recombinant inbred mice.

Authors:  Dean H Lang; Neil A Sharkey; Holly A Mack; George P Vogler; David J Vandenbergh; David A Blizard; Joseph T Stout; Gerald E McClearn
Journal:  J Bone Miner Res       Date:  2004-10-11       Impact factor: 6.741

4.  The Polycomb group gene Ezh2 prevents hematopoietic stem cell exhaustion.

Authors:  Leonie M Kamminga; Leonid V Bystrykh; Aletta de Boer; Sita Houwer; José Douma; Ellen Weersing; Bert Dontje; Gerald de Haan
Journal:  Blood       Date:  2005-11-17       Impact factor: 22.113

5.  Of mice, genes and aging.

Authors:  James DeGregori
Journal:  Haematologica       Date:  2020-01-31       Impact factor: 9.941

6.  QTL analyses of lineage-negative mouse bone marrow cells labeled with Sca-1 and c-Kit.

Authors:  Mays Jawad; Clare Cole; Abigail Zanker; George Giotopoulos; Simon Fitch; Christopher J Talbot; Mark Plumb
Journal:  Mamm Genome       Date:  2008-02-21       Impact factor: 2.957

7.  Serious limitations of the QTL/microarray approach for QTL gene discovery.

Authors:  Ricardo A Verdugo; Charles R Farber; Craig H Warden; Juan F Medrano
Journal:  BMC Biol       Date:  2010-07-12       Impact factor: 7.431

Review 8.  Moving forward with chemical mutagenesis in the mouse.

Authors:  Timothy P O'Brien; Wayne N Frankel
Journal:  J Physiol       Date:  2004-01-01       Impact factor: 5.182

9.  PPARG by dietary fat interaction influences bone mass in mice and humans.

Authors:  Cheryl L Ackert-Bicknell; Serkalem Demissie; Caralina Marín de Evsikova; Yi-Hsiang Hsu; Victoria E DeMambro; David Karasik; L Adrienne Cupples; Jose M Ordovas; Katherine L Tucker; Kelly Cho; Ernesto Canalis; Beverly Paigen; Gary A Churchill; Jiri Forejt; Wesley G Beamer; Serge Ferrari; Mary L Bouxsein; Douglas P Kiel; Clifford J Rosen
Journal:  J Bone Miner Res       Date:  2008-09       Impact factor: 6.741

10.  Dissecting the pleiotropic consequences of a quantitative trait nucleotide.

Authors:  Hyun Seok Kim; Juyoung Huh; Justin C Fay
Journal:  FEMS Yeast Res       Date:  2009-04-23       Impact factor: 2.796

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