Literature DB >> 12792846

From phenomenon to phenotype and from phenotype to gene: forward genetics and the problem of sepsis.

Bruce Beutler1, Xin Du, Kasper Hoebe.   

Abstract

Genetic tools (especially classical tools) have enlightened our understanding of biology as no other approach could. Mendel, Morgan, Bridges, and their heirs began with phenotypic traits and ended with genes. At first, the chemical identity of genes was not known, and even after years of methodologic refinement, more years of effort were needed to find the gene and the mutational difference that caused a particular phenotype. Chemistry has now outraced phenotypic analysis; all the genes are suddenly known, but most of their functions are not. The greatest challenge confronting all fields in biology is to establish correspondence between genes and discrete biologic functions. Sepsis is a devastating problem that has eluded a solution, despite the introduction of highly effective antimicrobial agents. Sepsis is an orchestrated process, understood in broad outline, but not in all details. Which genes are involved in the pathogenesis of sepsis? As in the golden age of genetics, the answer requires the solution of phenotypic puzzles, which, in turn, requires the creation of phenotypes.

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Year:  2003        PMID: 12792846     DOI: 10.1086/374757

Source DB:  PubMed          Journal:  J Infect Dis        ISSN: 0022-1899            Impact factor:   5.226


  4 in total

Review 1.  Dissecting immunity by germline mutagenesis.

Authors:  Onjee Choi; Sophie Rutschmann
Journal:  Immunology       Date:  2012-10       Impact factor: 7.397

Review 2.  Dissecting innate immunity by germline mutagenesis.

Authors:  Sophie Rutschmann; Kasper Hoebe
Journal:  Immunology       Date:  2008-01-18       Impact factor: 7.397

3.  Removing the cloak of invisibility: phenotyping the mouse.

Authors:  Monica J Justice
Journal:  Dis Model Mech       Date:  2008 Sep-Oct       Impact factor: 5.758

Review 4.  Wild-derived mice: from genetic diversity to variation in immune responses.

Authors:  Alexander Poltorak; Svetlana Apalko; Sergei Sherbak
Journal:  Mamm Genome       Date:  2018-07-28       Impact factor: 3.224

  4 in total

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