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
Link To Document :
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