DocumentCode
593662
Title
Identification of transcription factor binding sites in promoter databases
Author
Durasi, I.M. ; Dag, U. ; Gungor, B.B. ; Erdogan, B. ; Kurnaz, I.A. ; Ugur Sezerman, O.
Author_Institution
Dept. of Biol. Sci. & Bioeng., Sabanci Univ., İstanbul, Turkey
fYear
2011
fDate
2-5 May 2011
Firstpage
68
Lastpage
73
Abstract
Transcription factors (TFs) are the proteins which regulates the expression of their target genes either in a positive or negative manner. TFs realize this task by binding to a specific DNA sequence contained in promoter regions, via their DNA binding motifs. Among ETS family TFs, Pea3 proteins are involved in the regulation of expression of genes, which are important for cell growth, development, differentiation, oncogenic transformation and apoptosis. In silico studies should be done to find out the novel target genes for this TF. Even though a few bioinformatics tools are available for this purpose, the user needs to go back and forth between different tools, and to repeat these steps for each of their candidate gene. Here we combined these tools and constituted a new tool which examines the affinity of any TF towards the selected target genes´ promoter sequences. The tool is tested on several genes, which are predicted to be regulated by Pea3 TF.
Keywords
DNA; bioinformatics; biological techniques; cellular biophysics; molecular biophysics; proteins; DNA binding motifs; DNA sequence; ETS family TF; Pea3 TF; Pea3 proteins; TF affinity; TF binding sites; apoptosis; bioinformatics tools; cell growth; gene expression regulation; gene promoter sequences; oncogenic transformation; promoter databases; promoter regions; target genes; transcription factor;
fLanguage
English
Publisher
ieee
Conference_Titel
Health Informatics and Bioinformatics (HIBIT), 2011 6th International Symposium on
Conference_Location
Izmir
Print_ISBN
978-2-4673-4394-4
Type
conf
DOI
10.1109/HIBIT.2011.6450811
Filename
6450811
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