Inference of sigma factor controlled networks by using numerical modeling applied to microarray time series data of the germinating prokaryote

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61388971%3A_____%2F14%3A00428312" target="_blank" >RIV/61388971:_____/14:00428312 - isvavai.cz</a>

Result on the web

<a href="http://dx.doi.org/10.1093/nar/gkt917" target="_blank" >http://dx.doi.org/10.1093/nar/gkt917</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1093/nar/gkt917" target="_blank" >10.1093/nar/gkt917</a>

Result language

angličtina

Original language name

Inference of sigma factor controlled networks by using numerical modeling applied to microarray time series data of the germinating prokaryote

Original language description

A computational model of gene expression was applied to a novel test set of microarray time series measurements to reveal regulatory interactions between transcriptional regulators represented by 45 sigma factors and the genes expressed during germination of a prokaryote Streptomyces coelicolor. Using microarrays, the first 5.5 h of the process was recorded in 13 time points, which provided a database of gene expression time series on genome-wide scale. The computational modeling of the kinetic relations between the sigma factors, individual genes and genes clustered according to the similarity of their expression kinetics identified kinetically plausible sigma factorcontrolled networks. Using genome sequence annotations, functional groups of genes that were predominantly controlled by specific sigma factors were identified. Using external binding data complementing the modeling approach, specific genes involved in the control of the studied process were identified and their function s

Czech name

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Czech description

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Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

CE - Biochemistry

OECD FORD branch

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Project

<a href="/en/project/GAP302%2F11%2F0229" target="_blank" >GAP302/11/0229: Systems biology of streptomyces germination</a><br>

Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2014

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Nucleic Acids Research

ISSN

0305-1048

e-ISSN

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Volume of the periodical

42

Issue of the periodical within the volume

2

Country of publishing house

GB - UNITED KINGDOM

Number of pages

16

Pages from-to

748-763

UT code for WoS article

000331138100013

EID of the result in the Scopus database

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