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Human promoter genomic composition demonstrates non-random groupings that reflect general cellular function.
Markey C McNutt1, Ron Tongbai, Wenwu Cui
1The Advanced Technology Center, Laboratory of Receptor Biology and Gene Expression, National Cancer Institute, Bethesda, Maryland 20892-4605, USA. markey.mcnutt@utsouthwestern.edu
BMC Bioinformatics
|October 20, 2005
Summary
Gene promoters exhibit nonrandom cis-regulatory element grouping, reflecting cellular function. This promoter composition predicts gene function independently of expression data.
Area of Science:
- Genomics
- Bioinformatics
- Molecular Biology
Background:
- Investigating the organizational principles of cis-regulatory elements within gene promoters.
- Exploring potential correlations between promoter structure and gene biological function.
Purpose of the Study:
- To determine if cis-regulatory elements in gene promoters form nonrandom groups.
- To assess if this grouping correlates with gene function, independent of gene expression data.
Main Methods:
- Utilized ProSpector, a web-based tool, for promoter analysis.
- Analyzed transcription factor binding site frequencies in 1400 bp promoter regions of 7298 human genes.
- Applied partitional clustering to promoter segments.
Main Results:
- Identified distinct gene groups based on transcription factor binding site composition.
- Observed enrichment of specific gene ontology terms within these groups, aligning with cellular functions.
- Found significant overlap between gene ontology terms of transcription factors and their regulated genes within clusters.
Conclusions:
- Gene sorting by promoter composition alone yields functional groupings.
- Demonstrated that transcription factor binding site distribution in promoters is nonrandom.
- Showed that promoter composition reflects and partially defines gene class function.