Title
A multistep bioinformatic approach detects putative regulatory elements in gene promoters.
Abstract
Searching for approximate patterns in large promoter sequences frequently produces an exceedingly high numbers of results. Our aim was to exploit biological knowledge for definition of a sheltered search space and of appropriate search parameters, in order to develop a method for identification of a tractable number of sequence motifs.Novel software (COOP) was developed for extraction of sequence motifs, based on clustering of exact or approximate patterns according to the frequency of their overlapping occurrences. Genomic sequences of 1 Kb upstream of 91 genes differentially expressed and/or encoding proteins with relevant function in adult human retina were analyzed. Methodology and results were tested by analysing 1,000 groups of putatively unrelated sequences, randomly selected among 17,156 human gene promoters. When applied to a sample of human promoters, the method identified 279 putative motifs frequently occurring in retina promoters sequences. Most of them are localized in the proximal portion of promoters, less variable in central region than in lateral regions and similar to known regulatory sequences. COOP software and reference manual are freely available upon request to the Authors.The approach described in this paper seems effective for identifying a tractable number of sequence motifs with putative regulatory role.
Year
DOI
Venue
2005
10.1186/1471-2105-6-121
BMC Bioinformatics
Keywords
Field
DocType
sequence motif,expressed sequence tags,genome sequence,computational biology,gene expression regulation,cluster analysis,microarrays,response elements,bioinformatics,gene expression profiling,algorithms,search space,conserved sequence
Promoter,Conserved sequence,Transcription (biology),Expressed sequence tag,Biology,Sequence motif,Regulation of gene expression,Bioinformatics,Genetics,DNA microarray,Gene expression profiling
Journal
Volume
Issue
ISSN
6
1
1471-2105
Citations 
PageRank 
References 
28
0.85
14
Authors
5
Name
Order
Citations
PageRank
Stefania Bortoluzzi11497.90
Alessandro Coppe21466.30
Andrea Bisognin3984.13
Cinzia Pizzi413915.73
Gian Antonio Danieli5894.53