Prediction of phenotype and gene expression for combinations of mutations

被引：37

作者：

Carter, Gregory W. ^{[1
]}

Prinz, Susanne ^{[1
]}

Neou, Christine ^{[1
]}

Shelby, J. Patrick ^{[1
]}

Marzolf, Bruz ^{[1
]}

Thorsson, Vesteinn ^{[1
]}

Galitski, Timothy ^{[1
]}

机构：

[1] Inst Syst Biol, Seattle, WA 98103 USA

来源：

MOLECULAR SYSTEMS BIOLOGY | 2007年 / 3卷 / 1期

关键词：

computational biology; data integration; gene expression; genetic interaction; network model;

D O I：

10.1038/msb4100137

中图分类号：

Q5 [生物化学]; Q7 [分子生物学];

学科分类号：

071010 ; 081704 ;

摘要：

Molecular interactions provide paths for information flows. Genetic interactions reveal active information flows and reflect their functional consequences. We integrated these complementary data types to model the transcription network controlling cell differentiation in yeast. Genetic interactions were inferred from linear decomposition of gene expression data and were used to direct the construction of a molecular interaction network mediating these genetic effects. This network included both known and novel regulatory influences, and predicted genetic interactions. For corresponding combinations of mutations, the network model predicted quantitative gene expression profiles and precise phenotypic effects. Multiple predictions were tested and verified.

引用

页码：1 / 9

页数：9

共 44 条

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