Evidence map›Paper›PMID 40952960›Full record

ArticleJournal of visualized experiments : JoVE2025

An Optimized LIVE/DEAD Assay Coupled with Flow Cytometry for Quantifying Post-Stress Survival in Yeast Cells.

Hanxi Tang, Jessica Miller, Bin Z He

Abstract readVideo-Audio Media
In one paragraph

Article in Journal of visualized experiments : JoVE, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Hanxi TangDepartment of Biology, University of Iowa; Department of Chemical and Systems Biology, Stanford University.
Jessica MillerDepartment of Biology, University of Iowa.
Bin Z HeDepartment of Biology, University of Iowa; bin-he@uiowa.edu.

Funding

Evolution of Stress Response Gene Regulatory Network in a Commensal and Opportunistic Yeast PathogenR35GM137831 · NIGMS · UNIVERSITY OF IOWA · PI HE, BIN Z · 2020 to 2024
$1.9M
NIGMS NIH HHS R35 GM137831
6 · The paper itself

Abstract

Quantifying survival is a common and critical task in yeast research. LIVE/DEAD stains based on plasma membrane integrity provide a rapid and high-throughput assay for yeast survival when coupled with flow cytometry. However, variations in staining buffer, dye concentration, incubation time, and flow cytometry settings can impact data quality and reproducibility. This protocol presents a standardized LIVE/DEAD assay for post-stress survival quantification in yeast using flow cytometry. After treating Candida glabrata, an opportunistic yeast pathogen, with different doses of hydrogen peroxide, the post-stress samples were stained with a two-component LIVE/DEAD stain consisting of SYTO 9 and propidium iodide (PI). Flow cytometry was used to distinguish live, damaged, and dead cell populations and quantify their percentages in each sample. Survival estimates based on the percent live statistic were compared to the Colony Forming Unit (CFU) result on the same sample. The two methods yielded consistent results for the mock- and lethal dose (1 M H2O2)-treated samples. At the sublethal dose of 100 mM H2O2, SYTO 9/PI estimated a higher survival rate than CFU, reflecting a key difference between the two, where the protocol presented here evaluates cell survival immediately after the stress, while CFU quantifies the percent of cells able to recover and reproduce. Hence, this protocol measures viability at an earlier stage of the cell-death process. In summary, the protocol described here provides a fast and scalable alternative to CFU for post-stress survival quantification in yeast. Its results provide complementary information to CFU by evaluating survival at an earlier stage and distinguishing between dead and damaged cells.

Indexed as

Candida glabrataFlow CytometryHydrogen PeroxideHydrogen Peroxide

Identifiers

PMID40952960
PMCPMC12453624

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.