Literature DB >> 12105380

Understanding the human condition: experimental strategies in mammalian genetics.

Kenneth Paigen1.   

Abstract

Mice have become the mammalian model of choice for the application of genetics in biomedical research due to the evolutionary conservation of physiological systems and their attendant pathologies among all mammals as well as the exceptional power of genetic research technologies in the species. Beginning from aberrant phenotypes, a large number of mouse mutants and natural polymorphisms have been cloned, providing much information about the molecular basis of physiological processes. Additionally, the variable expression of these mutations in different inbred strain backgrounds has demonstrated the importance of modifier genes, which are also susceptible to cloning. Research efforts are keeping pace with these developments. In the area of gene discovery, large, government-funded mutagenesis programs now exist, and as a matter of great practical importance, recent evidence suggests that the same genes may be involved in the natural polymorphisms affecting disease in mice and humans. In parallel, dramatic advances are also being made in our ability to measure physiological processes in mice, and the advent of expression profiling promises revolutionary advances in understanding phenotype at the molecular level. Gene-driven approaches have relied on engineering the mouse genome, including adding, subtracting, and replacing genes and, most recently, the ability to control gene activity reversibly. Together, these multiple advances in our technical abilities have created extraordinary opportunities for future discovery.

Entities:  

Mesh:

Year:  2002        PMID: 12105380     DOI: 10.1093/ilar.43.3.123

Source DB:  PubMed          Journal:  ILAR J        ISSN: 1084-2020


  8 in total

1.  One hundred years of mouse genetics: an intellectual history. II. The molecular revolution (1981-2002).

Authors:  Kenneth Paigen
Journal:  Genetics       Date:  2003-04       Impact factor: 4.562

2.  Quantitative trait loci for baseline white blood cell count, platelet count, and mean platelet volume.

Authors:  Luanne L Peters; Weidong Zhang; Amy J Lambert; Carlo Brugnara; Gary A Churchill; Orah S Platt
Journal:  Mamm Genome       Date:  2005-10-29       Impact factor: 2.957

3.  Insights from Genetic Model Systems of Retinal Degeneration: Role of Epsins in Retinal Angiogenesis and VEGFR2 Signaling.

Authors:  Yunzhou Dong; Xue Cai; Yong Wu; Yanjun Liu; Lin Deng; Hong Chen
Journal:  J Nat Sci       Date:  2017-01

Review 4.  Genetic modifiers as relevant biological variables of eye disorders.

Authors:  Kacie J Meyer; Michael G Anderson
Journal:  Hum Mol Genet       Date:  2017-08-01       Impact factor: 6.150

5.  Quantitative trait loci for baseline erythroid traits.

Authors:  Luanne L Peters; Amy J Lambert; Weidong Zhang; Gary A Churchill; Carlo Brugnara; Orah S Platt
Journal:  Mamm Genome       Date:  2006-04-04       Impact factor: 2.957

6.  Repeatability, reproducibility and standardisation of a laser Doppler imaging technique for the evaluation of normal mouse hindlimb perfusion.

Authors:  Adelaide Greco; Monica Ragucci; Raffaele Liuzzi; Sara Gargiulo; Matteo Gramanzini; Anna Rita Daniela Coda; Sandra Albanese; Marcello Mancini; Marco Salvatore; Arturo Brunetti
Journal:  Sensors (Basel)       Date:  2012-12-28       Impact factor: 3.576

7.  Mouse models and strain-dependency of Chédiak-Higashi syndrome-associated neurologic dysfunction.

Authors:  Adam Hedberg-Buenz; Laura M Dutca; Demelza R Larson; Kacie J Meyer; Dana A Soukup; Carly J van der Heide; Hannah E Mercer; Kai Wang; Michael G Anderson
Journal:  Sci Rep       Date:  2019-05-01       Impact factor: 4.379

8.  Deep short-read sequencing of chromosome 17 from the mouse strains A/J and CAST/Ei identifies significant germline variation and candidate genes that regulate liver triglyceride levels.

Authors:  Ian Sudbery; Jim Stalker; Jared T Simpson; Thomas Keane; Alistair G Rust; Matthew E Hurles; Klaudia Walter; Dee Lynch; Lydia Teboul; Steve D Brown; Heng Li; Zemin Ning; Joseph H Nadeau; Colleen M Croniger; Richard Durbin; David J Adams
Journal:  Genome Biol       Date:  2009-10-13       Impact factor: 13.583

  8 in total

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