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

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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

Název v anglickém jazyce

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

Popis výsledku anglicky

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

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

CE - Biochemie

OECD FORD obor

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Projekt

<a href="/cs/project/GAP302%2F11%2F0229" target="_blank" >GAP302/11/0229: Systémová biologie germinace streptomycet</a><br>

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2014

Kód důvěrnosti údajů

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

Název periodika

Nucleic Acids Research

ISSN

0305-1048

e-ISSN

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Svazek periodika

42

Číslo periodika v rámci svazku

2

Stát vydavatele periodika

GB - Spojené království Velké Británie a Severního Irska

Počet stran výsledku

16

Strana od-do

748-763

Kód UT WoS článku

000331138100013

EID výsledku v databázi Scopus

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