Genetic background determines metabolic phenotypes in the mouse

Genetic background determines metabolic phenotypes in the mouse To evaluate the contribution of genetic background to phenotypic variation, we compared a large range of biochemical and metabolic parameters at different ages of four inbred mice strains, C57BL/6J, 129SvPas, C3HeB/FeJ, and Balb/cByJ. Our results demonstrate that important metabolic, hematologic, and biochemical differences exist between these different inbred strains. Most of these differences are gender independent and are maintained or accentuated throughout life. It is therefore imperative that the genetic background is carefully defined in phenotypic studies. Our results also argue that certain backgrounds are more suited to study a given physiologic phenomenon, as distinct mouse strains have a different propensity to develop particular biochemical, hematologic, and metabolic abnormalities. These genetic differences can furthermore be exploited to identify new genes/proteins that contribute to phenotypic abnormalities. The choice of the genetic background in which to generate and analyze genetically engineered mutant mice is important as it is, together with environmental factors, one of the most important contributors to the variability of phenotypic results. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Mammalian Genome Springer Journals
Loading next page...
 
/lp/springer_journal/genetic-background-determines-metabolic-phenotypes-in-the-mouse-2rrCI70ZR3
Publisher
Springer-Verlag
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/s00335-008-9107-z
Publisher site
See Article on Publisher Site

Abstract

To evaluate the contribution of genetic background to phenotypic variation, we compared a large range of biochemical and metabolic parameters at different ages of four inbred mice strains, C57BL/6J, 129SvPas, C3HeB/FeJ, and Balb/cByJ. Our results demonstrate that important metabolic, hematologic, and biochemical differences exist between these different inbred strains. Most of these differences are gender independent and are maintained or accentuated throughout life. It is therefore imperative that the genetic background is carefully defined in phenotypic studies. Our results also argue that certain backgrounds are more suited to study a given physiologic phenomenon, as distinct mouse strains have a different propensity to develop particular biochemical, hematologic, and metabolic abnormalities. These genetic differences can furthermore be exploited to identify new genes/proteins that contribute to phenotypic abnormalities. The choice of the genetic background in which to generate and analyze genetically engineered mutant mice is important as it is, together with environmental factors, one of the most important contributors to the variability of phenotypic results.

Journal

Mammalian GenomeSpringer Journals

Published: Apr 5, 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