Literature DB >> 11256576

Generation of mouse mutants as a tool for functional genomics.

P M Nolan1.   

Abstract

As sequence information becomes available from the Human Genome Project, key developments include systematic methods for assigning function to each of the 100,000 or so genes. Strategies for coping with this sequence information, including microarray analysis and proteomics, will further our understanding of how genes function and interact. Ultimately, however, the simplest way to understand how a gene works is to examine the consequences of interference with its function: mutational analysis. The mouse represents the model organism of choice in the analysis of gene function; close enough to human to represent a satisfactory model organism, yet relatively easy to manipulate at a genetic level. Two complementary approaches, genotype- and phenotype-based, have been established in the mouse genetics and genomics communities to systematically generate new mouse mutations. Genotype-based approaches are advantageous in that molecular analysis of mutations is facilitated. Phenotypic analysis, however, is often assumed based on gene expression patterns, often leading to unexpected results. Phenotype-based approaches do not make prior assumptions about gene function. Often, however, it may be difficult to define the underlying genetic lesion. Progress in each of these approaches will be considered and situations in which they might be mutually beneficial will be investigated.

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Year:  2000        PMID: 11256576     DOI: 10.1517/14622416.1.3.243

Source DB:  PubMed          Journal:  Pharmacogenomics        ISSN: 1462-2416            Impact factor:   2.533


  1 in total

1.  The International Gene Trap Consortium Website: a portal to all publicly available gene trap cell lines in mouse.

Authors:  Alex S Nord; Patricia J Chang; Bruce R Conklin; Antony V Cox; Courtney A Harper; Geoffrey G Hicks; Conrad C Huang; Susan J Johns; Michiko Kawamoto; Songyan Liu; Elaine C Meng; John H Morris; Janet Rossant; Patricia Ruiz; William C Skarnes; Philippe Soriano; William L Stanford; Doug Stryke; Harald von Melchner; Wolfgang Wurst; Ken-ichi Yamamura; Stephen G Young; Patricia C Babbitt; Thomas E Ferrin
Journal:  Nucleic Acids Res       Date:  2006-01-01       Impact factor: 16.971

  1 in total

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