Dataset Information

SWI/SNF senses carbon starvation with a pH-sensitive low complexity sequence

ABSTRACT: Purpose: It is increasingly appreciated that intracellular pH changes are important biological signals. This motivates the elucidation of molecular mechanisms of pH-sensing. We determined that a nucleocytoplasmic pH oscillation was required for the transcriptional response to carbon starvation in S. cerevisiae. Methods: We performed RNA sequencing analysis to determine the extent of the requirement for theSNF5 QLC in the activation of glucose-repressed genes. Total RNA was extracted from WT, ΔQ-snf5 and HtoA-snf5 strains during exponentially growth (+Glu) and after 4 hours of glucose starvation. Next, Poly-A selection was performed using Dynabeads and libraries were performed following manufactures indications. Sequencing of the 32 samples was performed on an Illumina Hi-seq on two lanes. RNA-seq data were aligned to the University of California, Santa Cruz (UCSC), sacCer2 genome using Kallisto (0.43.0,http://www.nature.com/nbt/journal/v34/n5/full/nbt.3519.html) and downstream visualization and analysis was done using R (3.2.2). Differential gene expression analysis, heat maps and volcano plots were created using DESeq2 where a wald test was used to determine differentially expressed genes and Euclidean distance to calculate clustering for heat maps. Conclusions: We found that pH changes and the SNF5 QLC are required for correct transcriptional reprogramming upon carbon starvation, but the dependencies are nuanced.

ORGANISM(S): Saccharomyces cerevisiae

PROVIDER: GSE174687 | GEO | 2021/05/20

REPOSITORIES: GEO

ACCESS DATA

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Project description:Cultivation methods used to investigate microbial calorie restriction often result in carbon and energy starvation. This study aims to dissect cellular responses to calorie restriction and starvation in Saccharomyces cerevisiae by using retentostat cultivation. In retentostats, cells are continuously supplied with a small, constant carbon and energy supply, sufficient for maintenance of cellular viability and integrity but insufficient for growth. When glucose-limited retentostats cultivated under extreme calorie restriction were subjected to glucose starvation, calorie-restricted and glucose-starved cells were found to share characteristics such as increased heat-shock tolerance and expression of quiescence-related genes. However, they also displayed strikingly different features. While calorie-restricted yeast cultures remained metabolically active and viable for prolonged periods of time, glucose starvation resulted in rapid consumption of reserve carbohydrates, population heterogeneity due to appearance of senescent cells and, ultimately, loss of viability. Moreover, during starvation, calculated rates of ATP synthesis from storage carbohydrates were 2-3 orders of magnitude lower than steady-state ATP-turnover rates calculated under extreme calorie restriction in retentostats. Stringent reduction of ATP turnover during glucose starvation was accompanied by a strong down-regulation of genes involved in protein synthesis. These results demonstrate that extreme calorie restriction and carbon starvation represent different physiological states in S. cerevisiae. The yeast was first grown for 14 days under extreme calorie restriction in anaerobic, glucose-limited retentostats (Boender et al., 2009, Appl.Environ.Microbiol., 75: 5607-5614.). Subsequently, starvation was started by terminating the glucose feed. Yeast transcriptional reprogramming in response to calorie restriction and starvation was monitored by microarray analysis. Independent duplicate retentostat cultures, and subsequently starvation, were sampled for transcriptome analysis using Affymetrix microarrays. One time-point was sampled during calorie restriction (T0) and four time points were sampled during the starvation phase 10, 30, 60 and 120 minutes after switching of the feed, resulting in a dataset of 10 arrays.

Dataset Information

SWI/SNF senses carbon starvation with a pH-sensitive low complexity sequence

Dataset's files

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets