henhaobio
Sign in

FEMS Yeast ResearchSystems BiologyPeer-reviewed journal article

Saccharomyces cerevisiae displays a stable transcription start site landscape in multiple conditions

Christoph S BörliniD, Nevena CvetešićiD, Petter HollandiD, David BergenholmiD, Verena SiewersiD, Boris LenhardiD, Jens NielseniD

PDFDOIPreprint

Abstract

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.

Citations
10
FWCI
0.71
Field percentile
top 33%

Reproducibility ledger

Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.

Sign in to file a reproducibility report.

Similarity Map
SelectedSame fieldCross-field
THISLu '19Thodberg '18McMillan '19Siddiq '26Bailey '22Duveau '21
74% semantic matchGenomics
Zhaolian Lu, Zhenguo Lin·Genome Research·Jul 1, 2019· 68 citations