Cookies on this website
We use cookies to ensure that we give you the best experience on our website. If you click 'Continue' we'll assume that you are happy to receive all cookies and you won't see this message again. Click 'Find out more' for information on how to change your cookie settings.

Identifying the transcription factor interactions that are responsible for cell-specific gene expression programs is key to understanding the regulation of cell behaviors, such as self-renewal, proliferation, differentiation, and death. The rapidly increasing availability of microarray-derived global gene expression data sets, coupled with genome sequence information from multiple species, has driven the development of computational methods to reverse engineer and dynamically model genetic regulatory networks. An understanding of the architecture and behavior of transcriptional networks should lend insight into how the huge number of potential gene expression programs is constrained and facilitates efforts to direct or redirect cell fate.

Original publication

DOI

10.1196/annals.1392.018

Type

Journal article

Journal

Ann N Y Acad Sci

Publication Date

06/2007

Volume

1106

Pages

30 - 40

Keywords

Animals, Cell Differentiation, Cell Lineage, Computational Biology, Computer Simulation, GATA1 Transcription Factor, Gene Regulatory Networks, Hematopoietic Stem Cells, Hematopoietic System, Humans, Models, Biological, Models, Theoretical, Oligonucleotide Array Sequence Analysis, Software, Transcription, Genetic