Literature DB >> 18774198

Generalizing genetical genomics: getting added value from environmental perturbation.

Yang Li1, Rainer Breitling, Ritsert C Jansen.   

Abstract

Genetical genomics is a useful approach for studying the effect of genetic perturbations on biological systems at the molecular level. However, molecular networks depend on the environmental conditions and, thus, a comprehensive understanding of biological systems requires studying them across multiple environments. We propose a generalization of genetical genomics, which combines genetic and sensibly chosen environmental perturbations, to study the plasticity of molecular networks. This strategy forms a crucial step toward understanding why individuals respond differently to drugs, toxins, pathogens, nutrients and other environmental influences. Here we outline a strategy for selecting and allocating individuals to particular treatments, and we discuss the promises and pitfalls of the generalized genetical genomics approach.

Mesh:

Year:  2008        PMID: 18774198     DOI: 10.1016/j.tig.2008.08.001

Source DB:  PubMed          Journal:  Trends Genet        ISSN: 0168-9525            Impact factor:   11.639


  24 in total

1.  System-wide molecular evidence for phenotypic buffering in Arabidopsis.

Authors:  Jingyuan Fu; Joost J B Keurentjes; Harro Bouwmeester; Twan America; Francel W A Verstappen; Jane L Ward; Michael H Beale; Ric C H de Vos; Martijn Dijkstra; Richard A Scheltema; Frank Johannes; Maarten Koornneef; Dick Vreugdenhil; Rainer Breitling; Ritsert C Jansen
Journal:  Nat Genet       Date:  2009-01-25       Impact factor: 38.330

2.  Genetical toxicogenomics in Drosophila identifies master-modulatory loci that are regulated by developmental exposure to lead.

Authors:  Douglas M Ruden; Lang Chen; Debra Possidente; Bernard Possidente; Parsa Rasouli; Luan Wang; Xiangyi Lu; Mark D Garfinkel; Helmut V B Hirsch; Grier P Page
Journal:  Neurotoxicology       Date:  2009-09-06       Impact factor: 4.294

Review 3.  Quantitative trait loci from identification to exploitation for crop improvement.

Authors:  Jitendra Kumar; Debjyoti Sen Gupta; Sunanda Gupta; Sonali Dubey; Priyanka Gupta; Shiv Kumar
Journal:  Plant Cell Rep       Date:  2017-03-28       Impact factor: 4.570

Review 4.  Systems genetics in "-omics" era: current and future development.

Authors:  Hong Li
Journal:  Theory Biosci       Date:  2012-11-09       Impact factor: 1.919

5.  Advances in genetical genomics of plants.

Authors:  R V L Joosen; W Ligterink; H W M Hilhorst; J J B Keurentjes
Journal:  Curr Genomics       Date:  2009-12       Impact factor: 2.236

6.  From QTL to candidate gene: genetical genomics of simple and complex traits in potato using a pooling strategy.

Authors:  Bjorn Kloosterman; Marian Oortwijn; Jan uitdeWilligen; Twan America; Ric de Vos; Richard G F Visser; Christian W B Bachem
Journal:  BMC Genomics       Date:  2010-03-08       Impact factor: 3.969

7.  SYSGENET: a meeting report from a new European network for systems genetics.

Authors:  Klaus Schughart
Journal:  Mamm Genome       Date:  2010-07-11       Impact factor: 2.957

8.  DiffCoEx: a simple and sensitive method to find differentially coexpressed gene modules.

Authors:  Bruno M Tesson; Rainer Breitling; Ritsert C Jansen
Journal:  BMC Bioinformatics       Date:  2010-10-06       Impact factor: 3.169

9.  designGG: an R-package and web tool for the optimal design of genetical genomics experiments.

Authors:  Yang Li; Morris A Swertz; Gonzalo Vera; Jingyuan Fu; Rainer Breitling; Ritsert C Jansen
Journal:  BMC Bioinformatics       Date:  2009-06-18       Impact factor: 3.169

10.  Expression quantitative trait loci are highly sensitive to cellular differentiation state.

Authors:  Alice Gerrits; Yang Li; Bruno M Tesson; Leonid V Bystrykh; Ellen Weersing; Albertina Ausema; Bert Dontje; Xusheng Wang; Rainer Breitling; Ritsert C Jansen; Gerald de Haan
Journal:  PLoS Genet       Date:  2009-10-16       Impact factor: 5.917

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