github link
Accession IconSRP139596

Temporal profiling of redox-dependent heterogeneity in single cells

Organism Icon Saccharomyces cerevisiae
Sample Icon No Downloadable Samples
Technology Badge IconNextSeq 500

Submitter Supplied Information

Description
The cellular redox status plays an essential role in diverse cellular functions, including proliferation, protein homeostasis, and aging. Thus even cells with identical genetic background but different redox status behave differently. Here, we propose a non-laborious and robust methodology to quantify cell-to- cell redox-dependent variability within thousands of cells, detect oxidation levels in cytosol, mitochondria, and peroxisome, and sort cells based on their redox status. We report that cells of the same age have a bi-modular distribution of reduced and oxidized cells starting in the late logarithmic phase. Although the ratio between the oxidized and reduced subpopulations changes during chronological aging, their growth, proteomic and transcriptomic features are conserved during their first days of chronological aging. A comparative proteomic analysis identified three key proteins, Hsp30, Dhh1, and Pnc1, which affect basal oxidation levels and may serve as first line of defense proteins in redox homeostasis. Overall design: The dataset includes 12 3''RNA-Seq samples.
PubMed ID
Total Samples
12
Submitter’s Institution
No associated institution
Alternate Accession IDs

Samples

Show of 0 Total Samples
Filter
Add/Remove
Accession Code
Title
Subject
Processing Information
Additional Metadata
No rows found
Loading...