READTHRUBACSYST

The Systems Biology of Transcriptional Read-Through in Bacteria: from Synthetic Networks to Genomic Studies

 Coordinatore Institute of Science and Technology Austria 

 Organization address address: Am Campus 1
city: Klosterneuburg
postcode: 3400

contact info
Titolo: Ms.
Nome: Carla
Cognome: Mazuheli-Chibidziura
Email: send email
Telefono: +43 224390001038
Fax: +43 224390002000

 Nazionalità Coordinatore Austria [AT]
 Totale costo 186˙783 €
 EC contributo 186˙783 €
 Programma FP7-PEOPLE
Specific programme "People" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013)
 Code Call FP7-PEOPLE-2013-IEF
 Funding Scheme MC-IEF
 Anno di inizio 2014
 Periodo (anno-mese-giorno) 2014-03-01   -   2017-02-25

 Partecipanti

# participant  country  role  EC contrib. [€] 
1    Institute of Science and Technology Austria

 Organization address address: Am Campus 1
city: Klosterneuburg
postcode: 3400

contact info
Titolo: Ms.
Nome: Carla
Cognome: Mazuheli-Chibidziura
Email: send email
Telefono: +43 224390001038
Fax: +43 224390002000

AT (Klosterneuburg) coordinator 186˙783.60

Mappa


 Word cloud

Esplora la "nuvola delle parole (Word Cloud) per avere un'idea di massima del progetto.

transcription    phenotypes    read    genetic    effect    elucidate    influence    networks    transcriptional    termination    inefficient    gene    regulation   

 Obiettivo del progetto (Objective)

'Control of transcription in bacteria is achieved at many levels, including regulation of transcription initiation and termination, as well as the availability and stability of mRNAs. While some of these mechanisms have been extensively studied and seem to be tightly controlled, transcription termination is often strikingly inefficient. Why such a central process should be inefficient is unclear, although in several cases transcriptional read-through has been reported to benefit the cell. Our aim is to investigate this process and to elucidate the role(s) of transcriptional read-through in bacterial gene regulation as well as its impact on the dynamics of genetic networks. Our approach will utilize established simple synthetic genetic networks, in which individual parameters such as induction, repression and transcriptional termination can be easily manipulated and their influence on transcription individually assessed. This experimental setting will allow us to address the question of the effect of transcriptional read-through in an environment with clearly defined inputs and outputs. We subsequently plan to assess the influence of modifying termination efficiency on characteristic phenotypes and overall fitness in Escherichia coli and Bacillus subtilis. Understanding the role of transcriptional read-through will help elucidate the effect of gene order on overall phenotypes.'

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