Literature DB >> 12902159

Genomic analysis of gene expression relationships in transcriptional regulatory networks.

Haiyuan Yu1, Nicholas M Luscombe, Jiang Qian, Mark Gerstein.   

Abstract

From merging several data sources, we created an extensive map of the transcriptional regulatory network in Saccharomyces cerevisiae, comprising 7419 interactions connecting 180 transcription factors (TFs) with their target genes. We integrated this network with gene-expression data, relating the expression profiles of TFs and target genes. We found that genes targeted by the same TF tend to be co-expressed, with the degree of co-expression increasing if genes share more than one TF. Moreover, shared targets of a TF tend to have similar cellular functions. By contrast, the expression relationships between the TFs and their targets are much more complicated, often exhibiting time-shifted or inverted behavior. Further information is available at http://bioinfo.mbb.yale.edu/regulation/TIG/

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Year:  2003        PMID: 12902159     DOI: 10.1016/S0168-9525(03)00175-6

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


  93 in total

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Journal:  Genomics       Date:  2011-10-02       Impact factor: 5.736

5.  Assessing the limits of genomic data integration for predicting protein networks.

Authors:  Long J Lu; Yu Xia; Alberto Paccanaro; Haiyuan Yu; Mark Gerstein
Journal:  Genome Res       Date:  2005-07       Impact factor: 9.043

6.  Genomic analysis of the hierarchical structure of regulatory networks.

Authors:  Haiyuan Yu; Mark Gerstein
Journal:  Proc Natl Acad Sci U S A       Date:  2006-09-26       Impact factor: 11.205

Review 7.  Vision from next generation sequencing: multi-dimensional genome-wide analysis for producing gene regulatory networks underlying retinal development, aging and disease.

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Authors:  Denise N Stephens; Rachel Herndon Klein; Michael L Salmans; William Gordon; Hsiang Ho; Bogi Andersen
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9.  Expression Atlas of Selaginella moellendorffii Provides Insights into the Evolution of Vasculature, Secondary Metabolism, and Roots.

Authors:  Camilla Ferrari; Devendra Shivhare; Bjoern Oest Hansen; Asher Pasha; Eddi Esteban; Nicholas J Provart; Friedrich Kragler; Alisdair Fernie; Takayuki Tohge; Marek Mutwil
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10.  Disease progression and solid tumor survival: a transcriptome decoherence model.

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