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Assigning numbers to the arrows: Parameterizing a gene regulation network by using accurate
 

Summary: Assigning numbers to the arrows: Parameterizing a
gene regulation network by using accurate
expression kinetics
Michal Ronen
, Revital Rosenberg
, Boris I. Shraiman
, and Uri Alon§¶
Departments of Molecular Cell Biology and §Physics of Complex Systems, Weizmann Institute of Science, Rehovot 76100, Israel; and Bell Laboratories,
Lucent Technologies, Murray Hill, NJ 07974
Edited by David Botstein, Stanford University School of Medicine, Stanford, CA, and approved June 5, 2002 (received for review January 28, 2002)
A basic challenge in systems biology is to understand the dynam-
ical behavior of gene regulation networks. Current approaches aim
at determining the network structure based on genomic-scale data.
However, the network connectivity alone is not sufficient to define
its dynamics; one needs to also specify the kinetic parameters for
the regulation reactions. Here, we ask whether effective kinetic
parameters can be assigned to a transcriptional network based on
expression data. We present a combined experimental and theo-
retical approach based on accurate high temporal-resolution mea-
surement of promoter activities from living cells by using green

  

Source: Alon, Uri - Departments of Molecular Cell Biology & Physics of Complex Systems, Weizmann Institute of Science

 

Collections: Biology and Medicine