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

QTL analyses of lineage-negative mouse bone marrow cells labeled with Sca-1 and c-Kit Differences in the number of functionally and/or phenotypically defined bone marrow cells in inbred mouse strains have been exploited to map quantitative trait loci (QTL) that determine the variation in cell frequency. To extend this approach to the differences in the stem/progenitor cell compartment in CBA/H and C57BL/6 mice, we have exploited the resolution of flow cytometry and the power of QTL analyses in 124 F2 mice to analyze lineage-negative (Lin−) bone marrow cells according to the intensity of labeling with Sca-1 and c-Kit. In the Lin− Sca-1+ c-Kit+ enriched population, six QTL were identified: one significant and five suggestive. Whereas previous in vitro clonogenic, LTC-IC, day 35 CAFC, and flow cytometry each identified different QTL, our approach identified the same or very similar QTL at all three loci (chromosomes 1, 17, and 18) as well as QTL on chromosomes 6 and 10. In silico analyses implicate hematopoietic stem cell homing involving Cxcr4 and Cxcl12 as being the determining pathway. The mapping of the same or very similar QTL in independent studies using different assay(s) suggests a common genetic determinant, and thus reinforces the biological and genetic significance of the QTL. These data also suggest that mouse bone marrow cell subpopulations can be functionally, phenotypically, and genetically defined. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Mammalian Genome Springer Journals

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

Loading next page...
 
/lp/springer_journal/qtl-analyses-of-lineage-negative-mouse-bone-marrow-cells-labeled-with-iBQzLFU0Cg
Publisher
Springer Journals
Copyright
Copyright © 2008 by Springer Science+Business Media, LLC
Subject
Life Sciences; Zoology ; Anatomy ; Cell Biology
ISSN
0938-8990
eISSN
1432-1777
D.O.I.
10.1007/s00335-008-9097-x
Publisher site
See Article on Publisher Site

Abstract

Differences in the number of functionally and/or phenotypically defined bone marrow cells in inbred mouse strains have been exploited to map quantitative trait loci (QTL) that determine the variation in cell frequency. To extend this approach to the differences in the stem/progenitor cell compartment in CBA/H and C57BL/6 mice, we have exploited the resolution of flow cytometry and the power of QTL analyses in 124 F2 mice to analyze lineage-negative (Lin−) bone marrow cells according to the intensity of labeling with Sca-1 and c-Kit. In the Lin− Sca-1+ c-Kit+ enriched population, six QTL were identified: one significant and five suggestive. Whereas previous in vitro clonogenic, LTC-IC, day 35 CAFC, and flow cytometry each identified different QTL, our approach identified the same or very similar QTL at all three loci (chromosomes 1, 17, and 18) as well as QTL on chromosomes 6 and 10. In silico analyses implicate hematopoietic stem cell homing involving Cxcr4 and Cxcl12 as being the determining pathway. The mapping of the same or very similar QTL in independent studies using different assay(s) suggests a common genetic determinant, and thus reinforces the biological and genetic significance of the QTL. These data also suggest that mouse bone marrow cell subpopulations can be functionally, phenotypically, and genetically defined.

Journal

Mammalian GenomeSpringer Journals

Published: Feb 21, 2008

References

You’re reading a free preview. Subscribe to read the entire article.


DeepDyve is your
personal research library

It’s your single place to instantly
discover and read the research
that matters to you.

Enjoy affordable access to
over 18 million articles from more than
15,000 peer-reviewed journals.

All for just $49/month

Explore the DeepDyve Library

Search

Query the DeepDyve database, plus search all of PubMed and Google Scholar seamlessly

Organize

Save any article or search result from DeepDyve, PubMed, and Google Scholar... all in one place.

Access

Get unlimited, online access to over 18 million full-text articles from more than 15,000 scientific journals.

Your journals are on DeepDyve

Read from thousands of the leading scholarly journals from SpringerNature, Elsevier, Wiley-Blackwell, Oxford University Press and more.

All the latest content is available, no embargo periods.

See the journals in your area

DeepDyve

Freelancer

DeepDyve

Pro

Price

FREE

$49/month
$360/year

Save searches from
Google Scholar,
PubMed

Create lists to
organize your research

Export lists, citations

Read DeepDyve articles

Abstract access only

Unlimited access to over
18 million full-text articles

Print

20 pages / month

PDF Discount

20% off