Cryptococcus Neoformans CO2 Fitness Data from a Near Genome-Wide Screen

A dataset from a competitive growth assay screening 4,692 deletion mutants of the fungal pathogen Cryptococcus neoformans for altered fitness under high CO2 conditions. The work identified 301 mutants with altered CO2 tolerance and proposes a physiological model linking CO2 stress to metabolic remodeling. The dataset was authored by Laura C. Ristow and last updated in May 2026.

Use Cases

• Identify genetic determinants of CO2 tolerance in Cryptococcus neoformans based on the competitive growth assay results.
• Study the integrated stress response involving central carbon metabolism and membrane homeostasis based on the proposed physiological model.
• Validate or compare findings from the near genome-wide screen with other omics datasets, such as the mentioned metabolomic analysis.

Strengths

• Screens a large genetic library of 4,692 deletion mutants.
• Identifies a specific set of 301 mutants with altered CO2 tolerance (245 reduced, 56 increased fitness).
• Dataset is associated with a proposed mechanistic model integrating TOR-Ypk1 signaling, metabolism, and oxidative stress.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for specific analyses.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

figshare, authored by Laura C. Ristow.

Collection Method

Near genome-wide screen using a competitive growth assay of deletion mutants.

Time Range

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Freshness

Last updated 2026-05-05 17:37:20; freshness should be verified.

Geography

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