UM
Cellular Regulatory Networks
Joughin B.A.1; Cheung E.2; Karuturi R.K.M.2; Saez-Rodriguez J.1; Lauffenburger D.A.2; Liu E.T.2
2010-12-01
AbstractThis chapter discusses the strategies and approaches used to develop understanding of complex signaling networks. It focuses on two layers as templates: transcriptional regulatory processes as an ultimate controller of cell function, and protein kinase pathways as a crucial upstream "information processing" governor located downstream of environmental stimuli. Earlier investigations on binary enzyme-substrates interactions have been superseded by studies of signaling networks associated with complex and diffuse processes often resulting in subtle biological consequences. In building such network maps for higher mammalian systems pertinent to medicine, protein-protein interactions and generalized enzyme-substrate databases have formed one foundation, and transcriptional regulatory networks have formed the second foundation. The challenges in making use of these datasets lie in uncovering hierarchy of effect, integration of heterogeneous data, and the incorporation of dynamical, time-dependent data to improve the predictive value of the models. A primary control point in the regulation of differential gene expression is transcription. The basis of mapping transcriptional regulatory networks began with the development of expression arrays. Transcription is controlled by a direct and specific interaction between a transcription factor and many discrete locations within the genome, guided by a DNA sequence recognition motif. Phosphorylation of proteins by protein kinases is regulated at several levels. First, the kinase and potential ligand must be colocalized in the cell. Second, the kinase activity is generally increased when the kinase is in an active structural conformation. Phosphoproteins are of tremendous importance in eukaryotic cellular signaling and regulation. © 2010 Elsevier Inc. All rights reserved.
ISBN9780123725509;
DOI10.1016/B978-0-12-372550-9.00004-3
URLView the original
Pages57-108
Language英語
Fulltext Access
Citation statistics
Document TypeBook
CollectionUniversity of Macau
Affiliation1.Massachusetts Institute of Technology
2.A-Star, Genome Institute of Singapore
Recommended Citation
GB/T 7714
Joughin B.A.,Cheung E.,Karuturi R.K.M.,et al. Cellular Regulatory Networks[M],2010.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Joughin B.A.]'s Articles
[Cheung E.]'s Articles
[Karuturi R.K.M.]'s Articles
Baidu academic
Similar articles in Baidu academic
[Joughin B.A.]'s Articles
[Cheung E.]'s Articles
[Karuturi R.K.M.]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Joughin B.A.]'s Articles
[Cheung E.]'s Articles
[Karuturi R.K.M.]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.