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

k 2014

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

ČEŠKA, Milan; Caroline SCHNEIDER; Alessandro ABATE; 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; Alessandro ABATE; David ŠAFRÁNEK; Louis MAHADEVAN a Marta KWIATKOWSKA

Vydání

CMSB 2014, 2014

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

Označené pro přenos do RIV

Ano

Kód RIV

RIV/00216224:14330/14:00080020

Organizační jednotka

Fakulta informatiky

Klíčová slova anglicky

systems biology; probabilistic dynamical systems; RNA transcription; piece-wise deterministic Markov process

Příznaky

Mezinárodní význam, Recenzováno

Změněno: 27. 4. 2015 04:58, RNDr. Pavel Šmerk, Ph.D.

Anotace

V originále

Inducible genes controlled by signalling cascades may be regulated as continuously variable or as two-state on/off switche. We describe a novel stochastic model of the interface between signal transduction and transcription initiation that accommodates both possibilities. The main challenge has been the need to reconcile the dynamics of a single copy of each gene interacting with a large population of signalling molecules. Comparison of measurements of mRNA levels in live cells with the outputs of the model allows us to test its conformance with experimental data. Our approach dissects the characteristics of the interface, an essential mechanism driving the initiation as well as the production of mRNA. The model provides a range of predictions for initiation and mRNA profiles as a function of the interface parameters, and may now be more closely aligned with further experimental observations.

Návaznosti

EE2.3.20.0256, projekt VaV

Název: Vytvoření výzkumného týmu a mezinárodního konzorcia pro počítačový model buňky sinice

Citovat

ČEŠKA, Milan; Caroline SCHNEIDER; Alessandro ABATE; David ŠAFRÁNEK; Louis MAHADEVAN a Marta KWIATKOWSKA. Stochastic Modelling of the Interface between Regulatory Enzymes and Transcription Initiation at Inducible Genes. In CMSB 2014. 2014.

@proceedings{1297328,
   author = {Češka, Milan and Schneider, Caroline and Abate, Alessandro and Šafránek, David and Mahadevan, Louis and Kwiatkowska, Marta},
   booktitle = {CMSB 2014},
   keywords = {systems biology; probabilistic dynamical systems; RNA transcription; piece-wise deterministic Markov process},
   language = {eng},
   title = {Stochastic Modelling of the Interface between Regulatory Enzymes and Transcription Initiation at Inducible Genes},
   url = {http://www.comp-sys-bio.org/CMSB14/accepted.html},
   year = {2014}
}

TY  - CONF
ID  - 1297328
AU  - Češka, Milan - Schneider, Caroline - Abate, Alessandro - Šafránek, David - Mahadevan, Louis - Kwiatkowska, Marta
PY  - 2014
TI  - Stochastic Modelling of the Interface between Regulatory Enzymes and Transcription Initiation at Inducible Genes
KW  - systems biology
KW  - probabilistic dynamical systems
KW  - RNA transcription
KW  - piece-wise deterministic Markov process
UR  - http://www.comp-sys-bio.org/CMSB14/accepted.html
L2  - http://www.comp-sys-bio.org/CMSB14/accepted.html
N2  - Inducible genes controlled by signalling cascades may be regulated as continuously variable or as two-state on/off switche. We describe a novel stochastic model of the interface between signal transduction and transcription initiation that accommodates both possibilities. The main challenge has been the need to reconcile the dynamics of a single copy of each gene interacting with a large population of signalling molecules. Comparison of measurements of mRNA levels in live cells with the outputs of the model allows us to test its conformance with experimental data. Our approach dissects the characteristics of the interface, an essential mechanism driving the initiation as well as the production of mRNA. The model provides a range of predictions for initiation and mRNA profiles as a function of the interface parameters, and may now be more closely aligned with further experimental observations.
ER  -

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