NCBI Logo
GEO Logo
   NCBI > GEO > Accession DisplayHelp Reviewer access | Sign OutHelp
GEO help: Mouse over screen elements for information.
          Go
Series GSE174687 Query DataSets for GSE174687
Status Public on May 20, 2021
Title SWI/SNF senses carbon starvation with a pH-sensitive low complexity sequence
Organism Saccharomyces cerevisiae
Experiment type Expression profiling by high throughput sequencing
Summary 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.
 
Overall design S.cerevisiae cells were grown in glucose or starvation conditions with the following genotypes: WT, delta-Q, HtoA-snf5 or starved at pH7.
Analysis scripts available: https://github.com/gbritt/Kallisto_DESeq2_Scripts_RNASeq_12.18.17
 
Contributor(s) Brittingham GP, Holt LJ, Gutierrez JI
Citation(s) 35129437
Submission date May 19, 2021
Last update date Mar 09, 2022
Contact name Gregory Brittingham
E-mail(s) gbritt91@gmail.com
Organization name NYU Institute for Systems Genetics
Department Cell Biology
Lab Liam Holt Lab
Street address 435 East 30th street
City New York
State/province NY
ZIP/Postal code 10016
Country USA
 
Platforms (1)
GPL17342 Illumina HiSeq 2500 (Saccharomyces cerevisiae)
Samples (21)
GSM5322530 WT_Dex_1
GSM5322531 dQ_snf5_Dex_1
GSM5322532 HtoA_snf5_Dex_1
Relations
BioProject PRJNA731118
SRA SRP320494

Download family Format
SOFT formatted family file(s) SOFTHelp
MINiML formatted family file(s) MINiMLHelp
Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE174687_051721_SWI_SNF_pH_Sensor_RNAseq_normalize_counts_matrix.txt.gz 778.1 Kb (ftp)(http) TXT
SRA Run SelectorHelp
Raw data are available in SRA
Processed data are available on Series record

| NLM | NIH | GEO Help | Disclaimer | Accessibility |
NCBI Home NCBI Search NCBI SiteMap