Počet záznamů: 1

Kinetic modelling and meta-analysis of the B. subtilis SigA regulatory network during spore germination and outgrowth

SYSNO ASEP	0477942
Druh ASEP	J - Článek v odborném periodiku
Zařazení RIV	J - Článek v odborném periodiku
Poddruh J	Článek ve WOS
Název	Kinetic modelling and meta-analysis of the B. subtilis SigA regulatory network during spore germination and outgrowth
Tvůrce(i)	Ramaniuk, Olga (MBU-M)_ORCID Černý, Martin (MBU-M) Krásný, Libor (MBU-M)_{RID, ORCID} Vohradský, Jiří (MBU-M)_{RID, ORCID}
Zdroj.dok.	Biochimica et Biophysica Acta-Gene Regulatory Mechanisms. - : Elsevier - ISSN 1874-9399 Roč. 1860, č. 8 (2017), s. 894-904
Poč.str.	11 s.
Jazyk dok.	eng - angličtina
Země vyd.	NL - Nizozemsko
Klíč. slova	Sigma A ; Kinetic modelling ; Regulatory network
Vědní obor RIV	EE - Mikrobiologie, virologie
Obor OECD	Microbiology
CEP	LM2015055 GA MŠMT - Ministerstvo školství, mládeže a tělovýchovy
	GA13-16842S GA ČR - Grantová agentura ČR
	NV17-29680A GA MZd - Ministerstvo zdravotnictví
Institucionální podpora	MBU-M - RVO:61388971
UT WOS	000407658800008
EID SCOPUS	85024900599
DOI	10.1016/j.bbagrm.2017.06.003
Anotace	This study describes the meta-analysis and kinetic modelling of gene expression control by sigma factor SigA of Bacillus subtilis during germination and outgrowth based on microarray data from 14 time points. The analysis computationally models the direct interaction among SigA, SigA-controlled sigma factor genes (sigh, sigH, sigD, sigX), and their target genes. Of the > 800 known genes in the SigA regulon, as extracted from databases, 311 genes were analysed, and 190 were confirmed by the kinetic model as being controlled by SigA. For the remaining genes, alternative regulators satisfying kinetic constraints were suggested. The kinetic analysis suggested another 214 genes as potential SigA targets. The modelling was able to (i) create a particular SigA-controlled gene expression network that is active under the conditions for which the expression time series was obtained, and where SigA is the dominant regulator, (ii) suggest new potential SigA target genes, and (iii) fmd other possible regulators of a given gene or suggest a new mechanism of its control by identifying a matching profile of unknown regulator(s). Selected predicted regulatory interactions were experimentally tested, thus validating the model.
Pracoviště	Mikrobiologický ústav
Kontakt	Eliška Spurná, eliska.spurna@biomed.cas.cz, Tel.: 241 062 231
Rok sběru	2018

Počet záznamů: 1