Literature DB >> 18392653

Genetic background determines metabolic phenotypes in the mouse.

Marie-France Champy1, Mohammed Selloum, Valérie Zeitler, Claudia Caradec, Barbara Jung, Stéphane Rousseau, Laurent Pouilly, Tania Sorg, Johan Auwerx.   

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.

Entities:  

Mesh:

Substances:

Year:  2008        PMID: 18392653     DOI: 10.1007/s00335-008-9107-z

Source DB:  PubMed          Journal:  Mamm Genome        ISSN: 0938-8990            Impact factor:   2.957


  19 in total

Review 1.  Comparative genomic analysis as a tool for biological discovery.

Authors:  Marcelo A Nobrega; Len A Pennacchio
Journal:  J Physiol       Date:  2004-01-01       Impact factor: 5.182

2.  SRC-1 and TIF2 control energy balance between white and brown adipose tissues.

Authors:  Frédéric Picard; Martine Géhin; Jean- Sébastien Annicotte; Stéphane Rocchi; Marie-France Champy; Bert W O'Malley; Pierre Chambon; Johan Auwerx
Journal:  Cell       Date:  2002-12-27       Impact factor: 41.582

3.  Mutant mice and neuroscience: recommendations concerning genetic background. Banbury Conference on genetic background in mice.

Authors: 
Journal:  Neuron       Date:  1997-10       Impact factor: 17.173

4.  Differences between inbred strains of mice in Morris water maze performance.

Authors:  M Upchurch; J M Wehner
Journal:  Behav Genet       Date:  1988-01       Impact factor: 2.805

5.  Deletion of nicotinamide nucleotide transhydrogenase: a new quantitive trait locus accounting for glucose intolerance in C57BL/6J mice.

Authors:  Helen C Freeman; Alison Hugill; Neil T Dear; Frances M Ashcroft; Roger D Cox
Journal:  Diabetes       Date:  2006-07       Impact factor: 9.461

6.  Mouse functional genomics requires standardization of mouse handling and housing conditions.

Authors:  Marie-France Champy; Mohammed Selloum; Laetitia Piard; Valerie Zeitler; Claudia Caradec; Pierre Chambon; Johan Auwerx
Journal:  Mamm Genome       Date:  2004-10       Impact factor: 2.957

7.  The knockout mouse project.

Authors:  Christopher P Austin; James F Battey; Allan Bradley; Maja Bucan; Mario Capecchi; Francis S Collins; William F Dove; Geoffrey Duyk; Susan Dymecki; Janan T Eppig; Franziska B Grieder; Nathaniel Heintz; Geoff Hicks; Thomas R Insel; Alexandra Joyner; Beverly H Koller; K C Kent Lloyd; Terry Magnuson; Mark W Moore; Andras Nagy; Jonathan D Pollock; Allen D Roses; Arthur T Sands; Brian Seed; William C Skarnes; Jay Snoddy; Philippe Soriano; David J Stewart; Francis Stewart; Bruce Stillman; Harold Varmus; Lyuba Varticovski; Inder M Verma; Thomas F Vogt; Harald von Melchner; Jan Witkowski; Richard P Woychik; Wolfgang Wurst; George D Yancopoulos; Stephen G Young; Brian Zambrowicz
Journal:  Nat Genet       Date:  2004-09       Impact factor: 38.330

8.  Variation in susceptibility to atherosclerosis among inbred strains of mice.

Authors:  B Paigen; A Morrow; C Brandon; D Mitchell; P Holmes
Journal:  Atherosclerosis       Date:  1985-10       Impact factor: 5.162

9.  EMPReSS: standardized phenotype screens for functional annotation of the mouse genome.

Authors:  S D M Brown; P Chambon; M Hrabé de Angelis
Journal:  Nat Genet       Date:  2005-11       Impact factor: 38.330

10.  The European dimension for the mouse genome mutagenesis program.

Authors:  Johan Auwerx; Phil Avner; Richard Baldock; Andrea Ballabio; Rudi Balling; Mariano Barbacid; Anton Berns; Allan Bradley; Steve Brown; Peter Carmeliet; Pierre Chambon; Roger Cox; Duncan Davidson; Kay Davies; Denis Duboule; Jiri Forejt; Francesca Granucci; Nick Hastie; Martin Hrabé de Angelis; Ian Jackson; Dimitris Kioussis; George Kollias; Mark Lathrop; Urban Lendahl; Marcos Malumbres; Harald von Melchner; Werner Müller; Juha Partanen; Paola Ricciardi-Castagnoli; Peter Rigby; Barry Rosen; Nadia Rosenthal; Bill Skarnes; A Francis Stewart; Janet Thornton; Glauco Tocchini-Valentini; Erwin Wagner; Walter Wahli; Wolfgang Wurst
Journal:  Nat Genet       Date:  2004-09       Impact factor: 38.330

View more
  51 in total

1.  CREB and ChREBP oppositely regulate SIRT1 expression in response to energy availability.

Authors:  Lilia G Noriega; Jérôme N Feige; Carles Canto; Hiroyasu Yamamoto; Jiujiu Yu; Mark A Herman; Chikage Mataki; Barbara B Kahn; Johan Auwerx
Journal:  EMBO Rep       Date:  2011-09-30       Impact factor: 8.807

2.  The glucocorticoid receptor agonistic modulators CpdX and CpdX-D3 do not generate the debilitating effects of synthetic glucocorticoids.

Authors:  Guoqiang Hua; Naimah Zein; Laetitia Paulen; Pierre Chambon
Journal:  Proc Natl Acad Sci U S A       Date:  2019-06-20       Impact factor: 11.205

3.  Phosphorylation of the nuclear receptor corepressor 1 by protein kinase B switches its corepressor targets in the liver in mice.

Authors:  Young Suk Jo; Dongryeol Ryu; Adriano Maida; Xu Wang; Ronald M Evans; Kristina Schoonjans; Johan Auwerx
Journal:  Hepatology       Date:  2015-07-22       Impact factor: 17.425

4.  Assessment of feeding behavior in laboratory mice.

Authors:  Kate L J Ellacott; Gregory J Morton; Stephen C Woods; Patrick Tso; Michael W Schwartz
Journal:  Cell Metab       Date:  2010-07-07       Impact factor: 27.287

5.  Systems genetics of metabolism: the use of the BXD murine reference panel for multiscalar integration of traits.

Authors:  Pénélope A Andreux; Evan G Williams; Hana Koutnikova; Riekelt H Houtkooper; Marie-France Champy; Hugues Henry; Kristina Schoonjans; Robert W Williams; Johan Auwerx
Journal:  Cell       Date:  2012-08-30       Impact factor: 41.582

6.  Analysis of Mitochondrial Respiratory Chain Supercomplexes Using Blue Native Polyacrylamide Gel Electrophoresis (BN-PAGE).

Authors:  Pooja Jha; Xu Wang; Johan Auwerx
Journal:  Curr Protoc Mouse Biol       Date:  2016-03-01

Review 7.  Dietary restriction in rats and mice: a meta-analysis and review of the evidence for genotype-dependent effects on lifespan.

Authors:  William R Swindell
Journal:  Ageing Res Rev       Date:  2011-12-23       Impact factor: 10.895

8.  A guide to analysis of mouse energy metabolism.

Authors:  Matthias H Tschöp; John R Speakman; Jonathan R S Arch; Johan Auwerx; Jens C Brüning; Lawrence Chan; Robert H Eckel; Robert V Farese; Jose E Galgani; Catherine Hambly; Mark A Herman; Tamas L Horvath; Barbara B Kahn; Sara C Kozma; Eleftheria Maratos-Flier; Timo D Müller; Heike Münzberg; Paul T Pfluger; Leona Plum; Marc L Reitman; Kamal Rahmouni; Gerald I Shulman; George Thomas; C Ronald Kahn; Eric Ravussin
Journal:  Nat Methods       Date:  2011-12-28       Impact factor: 28.547

9.  NAD+ repletion improves muscle function in muscular dystrophy and counters global PARylation.

Authors:  Dongryeol Ryu; Hongbo Zhang; Eduardo R Ropelle; Vincenzo Sorrentino; Davi A G Mázala; Laurent Mouchiroud; Philip L Marshall; Matthew D Campbell; Amir Safi Ali; Gary M Knowels; Stéphanie Bellemin; Shama R Iyer; Xu Wang; Karim Gariani; Anthony A Sauve; Carles Cantó; Kevin E Conley; Ludivine Walter; Richard M Lovering; Eva R Chin; Bernard J Jasmin; David J Marcinek; Keir J Menzies; Johan Auwerx
Journal:  Sci Transl Med       Date:  2016-10-19       Impact factor: 17.956

Review 10.  Crosstalk between poly(ADP-ribose) polymerase and sirtuin enzymes.

Authors:  Carles Cantó; Anthony A Sauve; Peter Bai
Journal:  Mol Aspects Med       Date:  2013-01-25
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.