Literature DB >> 19424863

Wild-derived mouse stocks: an underappreciated tool for aging research.

James M Harper1.   

Abstract

Virtually all biomedical research makes use of a relatively small pool of laboratory-adapted, inbred, isogenic stocks of mice. Although the advantages of these models are many, there are a number of disadvantages as well. When studying a multifaceted process such as aging, the problems associated with using laboratory stocks are greatly inflated. On the other hand, wild-derived mouse stocks, loosely defined here as either wild-caught individuals or the recent progeny of wild-caught individuals, have much to offer to biogerontology research. Hence, the aims of this review are threefold: (1) to (re)acquaint readers with the pros and cons of using a typical inbred laboratory mouse model for aging research; (2) to reintroduce the notion of using wild-derived mouse stocks in aging research as championed by Austad, Miller and others for more than a decade, and (3) to provide an overview of recent advances in biogerontology using wild-derived mouse stocks.

Entities:  

Year:  2008        PMID: 19424863      PMCID: PMC2527627          DOI: 10.1007/s11357-008-9057-0

Source DB:  PubMed          Journal:  Age (Dordr)        ISSN: 0161-9152


  77 in total

Review 1.  Exotic mice as models for aging research: polemic and prospectus.

Authors:  R A Miller; S Austad; D Burke; C Chrisp; R Dysko; A Galecki; A Jackson; V Monnier
Journal:  Neurobiol Aging       Date:  1999 Mar-Apr       Impact factor: 4.673

Review 2.  Growth versus lifespan: perspectives from evolutionary ecology.

Authors:  Neil B Metcalfe; Pat Monaghan
Journal:  Exp Gerontol       Date:  2003-09       Impact factor: 4.032

Review 3.  Role of glycation in aging.

Authors:  A T Lee; A Cerami
Journal:  Ann N Y Acad Sci       Date:  1992-11-21       Impact factor: 5.691

4.  Maximum life spans in mice are extended by wild strain alleles.

Authors:  S Klebanov; C M Astle; T H Roderick; K Flurkey; J R Archer; J Chen; D E Harrison
Journal:  Exp Biol Med (Maywood)       Date:  2001-10

5.  Assessment of hearing in 80 inbred strains of mice by ABR threshold analyses.

Authors:  Q Y Zheng; K R Johnson; L C Erway
Journal:  Hear Res       Date:  1999-04       Impact factor: 3.208

Review 6.  Retinal degeneration mutants in the mouse.

Authors:  B Chang; N L Hawes; R E Hurd; M T Davisson; S Nusinowitz; J R Heckenlively
Journal:  Vision Res       Date:  2002-02       Impact factor: 1.886

7.  Body weight, hormones and T cell subsets as predictors of life span in genetically heterogeneous mice.

Authors:  James M Harper; Andrzej T Galecki; David T Burke; Richard A Miller
Journal:  Mech Ageing Dev       Date:  2004-05       Impact factor: 5.432

8.  Longer life spans and delayed maturation in wild-derived mice.

Authors:  Richard A Miller; James M Harper; Robert C Dysko; Stephen J Durkee; Steven N Austad
Journal:  Exp Biol Med (Maywood)       Date:  2002-07

9.  The polymorphism architecture of mouse genetic resources elucidated using genome-wide resequencing data: implications for QTL discovery and systems genetics.

Authors:  Adam Roberts; Fernando Pardo-Manuel de Villena; Wei Wang; Leonard McMillan; David W Threadgill
Journal:  Mamm Genome       Date:  2007-08-03       Impact factor: 2.957

10.  Low rates of hydrogen peroxide production by isolated heart mitochondria associate with long maximum lifespan in vertebrate homeotherms.

Authors:  Adrian J Lambert; Helen M Boysen; Julie A Buckingham; Ting Yang; Andrej Podlutsky; Steven N Austad; Thomas H Kunz; Rochelle Buffenstein; Martin D Brand
Journal:  Aging Cell       Date:  2007-06-27       Impact factor: 9.304

View more
  19 in total

1.  Is oxidative stress a physiological cost of reproduction? An experimental test in house mice.

Authors:  Michael Garratt; Aphrodite Vasilaki; Paula Stockley; Francis McArdle; Malcolm Jackson; Jane L Hurst
Journal:  Proc Biol Sci       Date:  2010-10-06       Impact factor: 5.349

Review 2.  A novel strategy for genetic dissection of complex traits: the population of specific chromosome substitution strains from laboratory and wild mice.

Authors:  Junhua Xiao; Yinming Liang; Kai Li; Yuxuan Zhou; Wenqian Cai; Yumei Zhou; Ying Zhao; Zhenghong Xing; Guoqiang Chen; Li Jin
Journal:  Mamm Genome       Date:  2010-07-11       Impact factor: 2.957

Review 3.  Fine-mapping QTLs in advanced intercross lines and other outbred populations.

Authors:  Natalia M Gonzales; Abraham A Palmer
Journal:  Mamm Genome       Date:  2014-06-07       Impact factor: 2.957

Review 4.  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

5.  Life-prolonging measures for a dead theory?

Authors:  Ulrich R Ernst; Wouter De Haes; Dries Cardoen; Liliane Schoofs
Journal:  Age (Dordr)       Date:  2013-08-17

6.  Electrophysiological properties of medium spiny neurons in the nucleus accumbens core of prepubertal male and female Drd1a-tdTomato line 6 BAC transgenic mice.

Authors:  Jinyan Cao; David M Dorris; John Meitzen
Journal:  J Neurophysiol       Date:  2018-07-05       Impact factor: 2.714

7.  A mitohormetic response to pro-oxidant exposure in the house mouse.

Authors:  Yufeng Zhang; Frances Humes; Gregory Almond; Andreas N Kavazis; Wendy R Hood
Journal:  Am J Physiol Regul Integr Comp Physiol       Date:  2017-09-20       Impact factor: 3.619

Review 8.  Application of Mouse Models to Research in Hearing and Balance.

Authors:  Kevin K Ohlemiller; Sherri M Jones; Kenneth R Johnson
Journal:  J Assoc Res Otolaryngol       Date:  2016-10-17

9.  Interspecies Variation in the Susceptibility of a Wild-Derived Colony of Mice to Pinworms (Aspiculuris tetraptera).

Authors:  Ryan C Curtis; Jill K Murray; Polly Campbell; Yoko Nagamori; Adam Molnar; Todd A Jackson
Journal:  J Am Assoc Lab Anim Sci       Date:  2017-01-01       Impact factor: 1.232

Review 10.  The Power of Natural Variation for Model Organism Biology.

Authors:  Audrey P Gasch; Bret A Payseur; John E Pool
Journal:  Trends Genet       Date:  2016-01-07       Impact factor: 11.639

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.