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Molecular Systems Biology
Article . 2007 . Peer-reviewed
License: Wiley Online Library User Agreement
Data sources: Crossref
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Molecular Systems Biology
Article
License: CC BY
Data sources: UnpayWall
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PubMed Central
Other literature type . 2007
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Tissue‐specific regulatory elements in mammalian promoters

Authors: Smith, A. D.; Sumazin, P.; Zhang, M. Q.;

Tissue‐specific regulatory elements in mammalian promoters

Abstract

Transcription factor-binding sites and the cis-regulatory modules they compose are central determinants of gene expression. We previously showed that binding site motifs and modules in proximal promoters can be used to predict a significant portion of mammalian tissue-specific transcription. Here, we report on a systematic analysis of promoters controlling tissue-specific expression in heart, kidney, liver, pancreas, skeletal muscle, testis and CD4 T cells, for both human and mouse. We integrated multiple sources of expression data to compile sets of transcripts with strong evidence for tissue-specific regulation. The analysis of the promoters corresponding to these sets produced a catalog of predicted tissue-specific motifs and modules, and cis-regulatory elements. Predicted regulatory interactions are supported by statistical evidence, and provide a foundation for targeted experiments that will improve our understanding of tissue-specific regulatory networks. In a broader context, methods used to construct the catalog provide a model for the analysis of genomic regions that regulate differentially expressed genes.

Country
United States
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Keywords

CD4-Positive T-Lymphocytes, Male, 570, databases, Statistics, Nonparametric, Mice, Report, organs types and functions, Databases, Genetic, Animals, Humans, human, RNA, Messenger, Regulatory Elements, Transcriptional, Muscle, Skeletal, Promoter Regions, Genetic, Pancreas, mouse, Oligonucleotide Array Sequence Analysis, database optimization, Gene Expression Profiling, Myocardium, Computational Biology, Sequence Analysis, DNA, Systems Integration, Liver, transcription, Algorithms

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    popularity
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
58
Top 10%
Top 10%
Top 10%
Green
gold