Stochastic Modelling of the Interface between Regulatory
Enzymes and Transcription Initiation at Inducible Genes

k 2015

Stochastic Modelling of the Interface between Regulatory Enzymes and Transcription Initiation at Inducible Genes

ČEŠKA, Milan, Caroline SCHNEIDER, Abate ALESSANDRO, David ŠAFRÁNEK, Louis MAHADEVAN et. al.

Základní údaje

Originální název

Stochastic Modelling of the Interface between Regulatory Enzymes and Transcription Initiation at Inducible Genes

Autoři

ČEŠKA, Milan, Caroline SCHNEIDER, Abate ALESSANDRO, David ŠAFRÁNEK, Louis MAHADEVAN a Marta KWIATKOWSKA

Vydání

Fourth International Workshop on Hybrid Systems Biology, 2015

Další údaje

Jazyk

angličtina

Typ výsledku

Prezentace na konferencích

Obor

10201 Computer sciences, information science, bioinformatics

Stát vydavatele

Česká republika

Utajení

není předmětem státního či obchodního tajemství

Odkazy

URL

Organizační jednotka

Fakulta informatiky

Klíčová slova anglicky

stochastic modelling; mRNA transcription; immediate-early genes; formal methods

Příznaky

Mezinárodní význam, Recenzováno

Změněno: 19. 10. 2015 11:47, doc. RNDr. David Šafránek, Ph.D.

Anotace

V originále

Biological switches that control transcription of inducible genes can be thought of either as two-state or as continuously variable switches. We are developing a novel stochastic model of the interface between signal transduction and transcription initiation which accommodates both possibilities in order to compare both switching mechanisms in the context of immediate early (IE) gene induction. IE genes display quantitatively regulated expression linked to external stimuli via intracellular signalling pathways. The main modelling challenge lies at the interface between the large population of signalling molecules and a single copy of each gene. Our approach dissects the characteristics of the interface for the two types of switches. The model provides a range of reasonable predictions for transcriptional initiation and enables us to see IE gene inductio as a dynamically regulated quantitative process in which the turnover of phosphorylation of transcription factors (TF) may play a key role. This promises to support further experimental investigation and helps to elucidate quantitative understanding of this mechanism.

Návaznosti

CZ.1.07/2.3.00/30.0009, interní kód MU
(Kód CEP: EE2.3.30.0009)

Název: Zaměstnáním čerstvých absolventů doktorského studia k vědecké excelenci (Akronym: Postdoc I.)

Investor: Ministerstvo školství, mládeže a tělovýchovy ČR, Zaměstnáním čerstvých absolventů doktorského studia k vědecké excelenci, 2.3 Lidské zdroje ve výzkumu a vývoji

Citovat

ČEŠKA, Milan, Caroline SCHNEIDER, Abate ALESSANDRO, David ŠAFRÁNEK, Louis MAHADEVAN a Marta KWIATKOWSKA. Stochastic Modelling of the Interface between Regulatory Enzymes and Transcription Initiation at Inducible Genes. In Fourth International Workshop on Hybrid Systems Biology. 2015.

@proceedings{1314358,
   author = {Češka, Milan and Schneider, Caroline and Alessandro, Abate and Šafránek, David and Mahadevan, Louis and Kwiatkowska, Marta},
   booktitle = {Fourth International Workshop on Hybrid Systems Biology},
   keywords = {stochastic modelling; mRNA transcription; immediate-early genes; formal methods},
   language = {eng},
   title = {Stochastic Modelling of the Interface between Regulatory Enzymes and Transcription Initiation at Inducible Genes},
   url = {http://hsb2015.fi.muni.cz/#posters},
   year = {2015}
}

TY  - CONF
ID  - 1314358
AU  - Češka, Milan - Schneider, Caroline - Alessandro, Abate - Šafránek, David - Mahadevan, Louis - Kwiatkowska, Marta
PY  - 2015
TI  - Stochastic Modelling of the Interface between Regulatory Enzymes and Transcription Initiation at Inducible Genes
KW  - stochastic modelling
KW  - mRNA transcription
KW  - immediate-early genes
KW  - formal methods
UR  - http://hsb2015.fi.muni.cz/#posters
N2  - Biological switches that control transcription of inducible genes can be thought of either as two-state or as continuously variable switches. We are developing a novel stochastic model of the interface between signal transduction and transcription initiation which accommodates both possibilities in order to compare both switching mechanisms in the context of immediate early (IE) gene induction. IE genes display quantitatively regulated expression linked to external stimuli via intracellular signalling pathways. The main modelling challenge lies at the interface between the large population of signalling molecules and a single copy of each gene. Our approach dissects the characteristics of the interface for the two types of switches. The model provides a range of reasonable predictions for transcriptional initiation and enables us to see IE gene inductio as a dynamically regulated quantitative process in which the turnover of phosphorylation of transcription factors (TF) may play a key role. This promises to support further experimental investigation and helps to elucidate quantitative understanding of this mechanism.
ER  -

ČEŠKA, Milan, Caroline SCHNEIDER, Abate ALESSANDRO, David ŠAFRÁNEK, Louis MAHADEVAN a Marta KWIATKOWSKA. Stochastic Modelling of the Interface between Regulatory Enzymes and Transcription Initiation at Inducible Genes. In \textit{Fourth International Workshop on Hybrid Systems Biology}. 2015.

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