Imperial College London
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ProfessorBorisLenhard

Faculty of Medicine, Institute of Clinical Sciences

Professor of Computational Biology
 
 
 
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Contact

 

+44 (0)20 7594 0911b.lenhard Website

 
 
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Assistant

 

Mr Alastair Douglas Ivor Williams +44 (0)20 3313 4318

 
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Location

 

6.12CLMS BuildingHammersmith Campus

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Summary

 

Publications

Citation

BibTex format

@misc{Börlin:2018:10.1101/393447,
author = {Börlin, CS and Cvetesic, N and Holland, P and Bergenholm, D and Siewers, V and Lenhard, B and Nielsen, J},
doi = {10.1101/393447},
title = {<i>Saccharomyces cerevisiae</i> displays a stable transcription start site landscape in multiple conditions},
type = {Other},
url = {http://dx.doi.org/10.1101/393447},
year = {2018}
}
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RIS format (EndNote, RefMan)

TY  - GEN
AB  - <jats:title>ABSTRACT</jats:title><jats:p>One of the fundamental processes that determine cellular fate is regulation of gene transcription. Understanding these regulatory processes is therefore essential for understanding cellular responses to changes in environmental conditions. At the core promoter, the regulatory region containing the transcription start site (TSS), all inputs regulating transcription are integrated. Here, we used Cap Analysis of Gene Expression (CAGE) to analyze the pattern of transcription start sites at four different environmental conditions (limited in ethanol, limited in nitrogen, limited in glucose and limited in glucose under anaerobic conditions) using the Saccharomyces cerevisiae strain CEN.PK113-7D. With this experimental setup we were able to show that the TSS landscape in yeast is stable at different metabolic states of the cell. We also show that the shape index, a characteristic feature of each TSS describing the spatial distribution of transcription initiation events, has a surprisingly strong negative correlation with the measured expression levels. Our analysis supplies a set of high quality TSS annotations useful for metabolic engineering and synthetic biology approaches in the industrially relevant laboratory strain CEN.PK113-7D, and provides novel insights into yeast TSS dynamics and gene regulation.</jats:p>
AU  - Börlin,CS
AU  - Cvetesic,N
AU  - Holland,P
AU  - Bergenholm,D
AU  - Siewers,V
AU  - Lenhard,B
AU  - Nielsen,J
DO  - 10.1101/393447
PY  - 2018///
TI  - <i>Saccharomyces cerevisiae</i> displays a stable transcription start site landscape in multiple conditions
UR  - http://dx.doi.org/10.1101/393447
ER  -
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