Literature DB >> 15619964

Genetically altered mice: phenotypes, no phenotypes, and Faux phenotypes.

Stephen W Barthold1.   

Abstract

'Phenotype' means different things, but whatever the measure, phenotype can be profoundly influenced by genetic, environmental and infectious variables. The laboratory mouse is a complex multisystemic organism which, despite its genetically inbred nature, as highly variable pathophysiologic characteristics. Mouse strains have background characteristics that can influence genomics research. In addition to the mouse itself, different approaches toward creating mutant mice each create variables that influence phenotype. Different background strains of mice are utilized for these different approaches, and various strains are preferred among different laboratories. Background genotype significantly influences phenotype of gene mutations, as can insufficient genetic stabilization of a mutation. Research programs engaged in functional mouse genomics not only must use genetically well-defined mice, but also must incorporate environmental and infectious disease quality assurance/prevention programs. Laboratory mice are subject to over 60 different infectious disease agents, including a wide variety of viruses, bacteria, protozoa, and metazoa. Although these agents can be readily diagnosed and prevented, a number of forces are resulting in their rise in prevalence in mouse colonies. Infectious disease, including clinically silent infections, can and do influence phenotype, and can jeopardize research considerably through lost time, wasted effort, cost, and even loss of valuable strains.

Entities:  

Mesh:

Year:  2004        PMID: 15619964     DOI: 10.1007/s10709-004-1439-3

Source DB:  PubMed          Journal:  Genetica        ISSN: 0016-6707            Impact factor:   1.082


  14 in total

1.  Ulcerative typhlocolitis associated with Helicobacter mastomyrinus in telomerase-deficient mice.

Authors:  K A Eaton; J S Opp; B M Gray; I L Bergin; V B Young
Journal:  Vet Pathol       Date:  2010-10-06       Impact factor: 2.221

Review 2.  New approaches to the representation and analysis of phenotype knowledge in human diseases and their animal models.

Authors:  Paul N Schofield; John P Sundberg; Robert Hoehndorf; Georgios V Gkoutos
Journal:  Brief Funct Genomics       Date:  2011-09       Impact factor: 4.241

3.  Injectable SN-38-loaded Polymeric Depots for Cancer Chemotherapy of Glioblastoma Multiforme.

Authors:  Chawan Manaspon; Norased Nasongkla; Khuanjit Chaimongkolnukul; Pinunta Nittayacharn; Ketpat Vejjasilpa; Kanchana Kengkoom; Atthaporn Boongird; Suradej Hongeng
Journal:  Pharm Res       Date:  2016-08-05       Impact factor: 4.200

Review 4.  Strain background effects and genetic modifiers of hearing in mice.

Authors:  Kenneth R Johnson; Qing Yin Zheng; Konrad Noben-Trauth
Journal:  Brain Res       Date:  2006-03-31       Impact factor: 3.252

Review 5.  In-depth metabolic phenotyping of genetically engineered mouse models in obesity and diabetes.

Authors:  Hui-Young Lee; Kyeong-Hoon Jeong; Cheol Soo Choi
Journal:  Mamm Genome       Date:  2014-05-03       Impact factor: 2.957

Review 6.  Endothelial Cell Development and Its Application to Regenerative Medicine.

Authors:  Jingyao Qiu; Karen K Hirschi
Journal:  Circ Res       Date:  2019-08-01       Impact factor: 17.367

7.  Pathology Principles and Practices for Analysis of Animal Models.

Authors:  Sue E Knoblaugh; Tobias M Hohl; Krista M D La Perle
Journal:  ILAR J       Date:  2018-12-01

8.  Where's the mouse info?

Authors:  J P Sundberg; J M Ward; P Schofield
Journal:  Vet Pathol       Date:  2009-07-15       Impact factor: 2.221

9.  1 + 1 = 3: Development and validation of a SNP-based algorithm to identify genetic contributions from three distinct inbred mouse strains.

Authors:  James D Gorham; Matthew S Ranson; Janebeth C Smith; Beverly J Gorham; Kristen-Ashley Muirhead
Journal:  J Biomol Tech       Date:  2012-12

10.  Hypothalamic-pituitary-adrenal axis abnormalities in response to deletion of 11beta-HSD1 is strain-dependent.

Authors:  R N Carter; J M Paterson; U Tworowska; D J Stenvers; J J Mullins; J R Seckl; M C Holmes
Journal:  J Neuroendocrinol       Date:  2009-07-07       Impact factor: 3.627

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