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Bioinformatics
Article . 2007 . Peer-reviewed
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Bioinformatics
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Bioinformatics
Article . 2007
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Genomic characterization of perturbation sensitivity

Authors: Jung Hun Ohn; Jihun Kim 0001; Ju Han Kim;

Genomic characterization of perturbation sensitivity

Abstract

Abstract Motivation: In determining the function of a gene, it provides much information to observe the changes in a biological system after disruption of the gene of interest through its knockout. Thanks to the microarray technology, it is now possible to profile transcriptional changes of the whole genome, thus differentiating genes that are significantly affected by the knockout. Based on microarray experiments of hundreds of different knockouts, we assigned the so called, ‘Perturbation Sensitivity’, to the Saccharomyces cerevisiae genome by the frequency of significant changes in the transcript level in hundreds of knockout conditions. Biologically, it reflects the degree of a gene's sensitivity to external perturbations. Results: Through gradually enriching gene sets with more perturbation sensitive genes, we show that perturbation sensitive genes are usually not essential and their coding proteins have fewer physical interaction partners and more transcription factors bind to their upstream sequences. And the two extreme gene groups, perturbation sensitive versus perturbation resistant, have mutually exclusive functional annotations. contact: juhan@snu.ac.kr

Related Organizations
Keywords

Proteome, Gene Expression Profiling, Chromosome Mapping, Models, Biological, Sensitivity and Specificity, Gene Expression Regulation, Computer Simulation, Oligonucleotide Array Sequence Analysis, Signal Transduction, Transcription Factors

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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!
14
Average
Top 10%
Average
gold