Literature DB >> 12736192

Genetic Models in Applied Physiology. Functional genomics in the mouse: powerful techniques for unraveling the basis of human development and disease.

Clifford W Bogue1.   

Abstract

Now that near-complete DNA sequences of both the mouse and human genomes are available, the next major challenge will be to determine how each of these genes functions, both alone and in combination with other genes in the genome. The mouse has a long and rich history in biological research, and many consider it a model organism for the study of human development and disease. Over the past few years, exciting progress has been made in developing techniques for chromosome engineering, mutagenesis, mapping and maintenance of mutations, and identification of mutant genes in the mouse. In this mini-review, many of these powerful techniques will be presented along with their application to the study of development, physiology, and disease.

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Year:  2003        PMID: 12736192     DOI: 10.1152/japplphysiol.00209.2003

Source DB:  PubMed          Journal:  J Appl Physiol (1985)        ISSN: 0161-7567


  6 in total

1.  Terminological mapping for high throughput comparative biology of phenotypes.

Authors:  Y A Lussier; J Li
Journal:  Pac Symp Biocomput       Date:  2004

2.  Adriamycin-Induced Models of VACTERL Association.

Authors:  D Mc Laughlin; P Hajduk; P Murphy; P Puri
Journal:  Mol Syndromol       Date:  2013-02

3.  Expression and functional characterization of P2X receptors in mouse alveolar macrophages.

Authors:  Sarah Kessler; Wolfgang G Clauss; Andreas Günther; Wolfgang Kummer; Martin Fronius
Journal:  Pflugers Arch       Date:  2011-06-03       Impact factor: 3.657

4.  Epigenetic alterations at genomic loci modified by gene targeting in Arabidopsis thaliana.

Authors:  Michal Lieberman-Lazarovich; Cathy Melamed-Bessudo; Sylvia de Pater; Avraham A Levy
Journal:  PLoS One       Date:  2013-12-26       Impact factor: 3.240

5.  CGSEA: A Flexible Tool for Evaluating the Associations of Chemicals with Complex Diseases.

Authors:  Shiqiang Cheng; Mei Ma; Lu Zhang; Li Liu; Bolun Cheng; Xin Qi; Chujun Liang; Ping Li; Om Prakash Kafle; Yan Wen; Feng Zhang
Journal:  G3 (Bethesda)       Date:  2020-03-05       Impact factor: 3.154

6.  Age, but not experience, affects courtship gene expression in male Drosophila melanogaster.

Authors:  Elizabeth A Ruedi; Kimberly A Hughes
Journal:  PLoS One       Date:  2009-07-07       Impact factor: 3.240

  6 in total

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