Literature DB >> 12010793

Genetically determined variation in the number of phenotypically defined hematopoietic progenitor and stem cells and in their response to early-acting cytokines.

Els Henckaerts1, Hartmut Geiger, Jessica C Langer, Patricia Rebollo, Gary Van Zant, Hans-Willem Snoeck.   

Abstract

Quantitative trait analysis may shed light on mechanisms regulating hematopoiesis in vivo. Strain-dependent variation existed among C57BL/6 (B6), DBA/2, and BXD recombinant inbred mice in the responsiveness of primitive progenitor cells to the early-acting cytokines kit ligand, flt3 ligand, and thrombopoietin. A significant quantitative trait locus was found on chromosome 2 that could not be confirmed in congenic mice, however, probably because of epistasis. Because it has been shown that alleles of unknown X-linked genes confer a selective advantage to hematopoietic stem cells in vivo in humans and in cats, we also analyzed reciprocal male D2B6F1 and B6D2F1 mice, revealing an X-linked locus regulating the responsiveness of progenitor and stem cells to early-acting factors. Among DBA/2, B6, and BXD recombinant inbred mice, correlating genetic variation was found in the absolute number and frequency of Lin(-)Sca1(++)kit(+) cells, which are highly enriched in hematopoietic progenitor and stem cells, and in the number of Lin(-)Sca1(++)kit(-) cells, a population whose biologic significance is unknown, suggesting that both populations are functionally related. Suggestive quantitative trait loci (QTLs) for the number of Lin(-)Sca1(++) cells on chromosomes 2, 4, and 7 were confirmed in successive rounds of mapping. The locus on chromosome 2 was confirmed in congenic mice. We thus demonstrated genetic variation in the response to cytokines critical for hematopoiesis in vivo and in the pool size of cells belonging to a phenotype used to isolate essentially pure primitive progenitor and stem cells, and we identified loci that may be relevant to the regulation of hematopoiesis in steady state.

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Year:  2002        PMID: 12010793     DOI: 10.1182/blood.v99.11.3947

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


  23 in total

1.  Regulation of hematopoietic stem cell aging in vivo by a distinct genetic element.

Authors:  Hartmut Geiger; Gabriela Rennebeck; Gary Van Zant
Journal:  Proc Natl Acad Sci U S A       Date:  2005-03-23       Impact factor: 11.205

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.  Mapping temporally varying quantitative trait loci in time-to-failure experiments.

Authors:  Frank Johannes
Journal:  Genetics       Date:  2006-12-06       Impact factor: 4.562

4.  Hematopoietic fingerprints: an expression database of stem cells and their progeny.

Authors:  Stuart M Chambers; Nathan C Boles; Kuan-Yin K Lin; Megan P Tierney; Teresa V Bowman; Steven B Bradfute; Alice J Chen; Akil A Merchant; Olga Sirin; David C Weksberg; Mehveen G Merchant; C Joseph Fisk; Chad A Shaw; Margaret A Goodell
Journal:  Cell Stem Cell       Date:  2007-11       Impact factor: 24.633

Review 5.  Concise review: hematopoietic stem cell aging, life span, and transplantation.

Authors:  Gary Van Zant; Ying Liang
Journal:  Stem Cells Transl Med       Date:  2012-09-05       Impact factor: 6.940

6.  Analysis of expansion of myeloid progenitors in mice to identify leukemic susceptibility genes.

Authors:  Vincent E Sollars; Ed Pequignot; Jay L Rothstein; Arthur M Buchberg
Journal:  Mamm Genome       Date:  2006-08-04       Impact factor: 2.957

7.  CD201 and CD27 identify hematopoietic stem and progenitor cells across multiple murine strains independently of Kit and Sca-1.

Authors:  Sara E Vazquez; Matthew A Inlay; Thomas Serwold
Journal:  Exp Hematol       Date:  2015-04-16       Impact factor: 3.084

8.  Transforming growth factor-beta2 is involved in quantitative genetic variation in thymic involution.

Authors:  Ritu Kumar; Jessica C Langer; Hans-Willem Snoeck
Journal:  Blood       Date:  2005-11-10       Impact factor: 22.113

9.  Quantitative trait mapping reveals a regulatory axis involving peroxisome proliferator-activated receptors, PRDM16, transforming growth factor-β2 and FLT3 in hematopoiesis.

Authors:  Serine Avagyan; Francesca Aguilo; Kenjiro Kamezaki; Hans-Willem Snoeck
Journal:  Blood       Date:  2011-10-03       Impact factor: 22.113

10.  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

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