Literature DB >> 16636111

New roles for model genetic organisms in understanding and treating human disease: report from the 2006 Genetics Society of America meeting.

Allan Spradling1, Barry Ganetsky, Phil Hieter, Mark Johnston, Maynard Olson, Terry Orr-Weaver, Janet Rossant, Alejandro Sanchez, Robert Waterston.   

Abstract

Fundamental biological knowledge and the technology to acquire it have been immeasurably advanced by past efforts to understand and manipulate the genomes of model organisms. Has the utility of bacteria, yeast, worms, flies, mice, plants, and other models now peaked and are humans poised to become the model organism of the future? The Genetics Society of America recently convened its 2006 meeting entitled "Genetic Analysis: Model Organisms to Human Biology" to examine the future role of genetic research. (Because of time limitations, the meeting was unable to cover the substantial contributions and future potential of research on model prokaryotic organisms.) In fact, the potential of model-organism-based studies has grown substantially in recent years. The genomics revolution has revealed an underlying unity between the cells and tissues of eukaryotic organisms from yeast to humans. No uniquely human biological mechanisms have yet come to light. This common evolutionary heritage makes it possible to use genetically tractable organisms to model important aspects of human medical disorders such as cancer, birth defects, neurological dysfunction, reproductive failure, malnutrition, and aging in systems amenable to rapid and powerful experimentation. Applying model systems in this way will allow us to identify common genes, proteins, and processes that underlie human medical conditions. It will allow us to systematically decipher the gene-gene and gene-environment interactions that influence complex multigenic disorders. Above all, disease models have the potential to address a growing gap between our ability to collect human genetic data and to productively interpret and apply it. If model organism research is supported with these goals in mind, we can look forward to diagnosing and treating human disease using information from multiple systems and to a medical science built on the unified history of life on earth.

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Year:  2006        PMID: 16636111      PMCID: PMC1456383          DOI: 10.1093/genetics/172.4.2025

Source DB:  PubMed          Journal:  Genetics        ISSN: 0016-6731            Impact factor:   4.562


  14 in total

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Authors:  Philip Hieter; Kym M Boycott
Journal:  Genetics       Date:  2014-10       Impact factor: 4.562

2.  Fruit flies in biomedical research.

Authors:  Michael F Wangler; Shinya Yamamoto; Hugo J Bellen
Journal:  Genetics       Date:  2015-01-26       Impact factor: 4.562

3.  Towards a membrane proteome in Drosophila: a method for the isolation of plasma membrane.

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Journal:  BMC Genomics       Date:  2010-05-12       Impact factor: 3.969

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Journal:  Exp Neurol       Date:  2015-08-06       Impact factor: 5.330

Review 5.  Progress in metabolic engineering of Saccharomyces cerevisiae.

Authors:  Elke Nevoigt
Journal:  Microbiol Mol Biol Rev       Date:  2008-09       Impact factor: 11.056

Review 6.  Cryptococcus neoformans constitutes an ideal model organism to unravel the contribution of cellular aging to the virulence of chronic infections.

Authors:  Tejas Bouklas; Bettina C Fries
Journal:  Curr Opin Microbiol       Date:  2013-04-27       Impact factor: 7.934

7.  Learning the common language of genetics.

Authors:  Allan C Spradling
Journal:  Genetics       Date:  2006-09       Impact factor: 4.562

8.  Making organisms model human behavior: situated models in North-American alcohol research, since 1950.

Authors:  Rachel A Ankeny; Sabina Leonelli; Nicole C Nelson; Edmund Ramsden
Journal:  Sci Context       Date:  2014-09       Impact factor: 0.425

9.  A novel electronic assessment strategy to support applied Drosophila genetics training in university courses.

Authors:  Maggy Fostier; Sanjai Patel; Samantha Clarke; Andreas Prokop
Journal:  G3 (Bethesda)       Date:  2015-02-25       Impact factor: 3.154

10.  Open questions: completing the parts list and finding the integrating signals.

Authors:  Aurelio A Teleman; Norbert Perrimon
Journal:  BMC Biol       Date:  2017-06-08       Impact factor: 7.431

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