Genome-Wide In Silico Identification of Transcriptional Regulators Controlling the Cell Cycle in Human Cells

2003/12/02

Speaker: 魏正岷

Abstract

The computational methods are developed for identifying putative binding sites of transcription factors and for evaluating the statistical significance of their prevalence in a given set of promoters. Focusing on transcriptional mechanisms that control cell cycle progression, this computational analyses revealed eight transcription factors whose binding sites are significantly overrepresented in promoters of genes whose expression is cell-cycle-dependent.

The methods presented here are general and can be applied to the analysis of transcriptional networks controlling any biological process.

Source

Genome research Vol. 13, Issue 5, 773-780, May 2003

Reference

http://genome-www.stanford.edu/Human-CellCycle/Hela/data.shtml; human cell cycle microarray data set.

http://www.cs.tau.ac.il/~rshamir/prima/PRIMA.htm; PRIMA Web site.

http://www.gene-regulation.de; TRANSFAC database.