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Record W2887000335

Coupling Temperature Sensing and Morphogenesis in the Pathogenic Fungus Candida albicans

2013· dissertation· en· W2887000335 on OpenAlexvenueno aff
Rebecca S. Shapiro

Bibliographic record

VenueLibrary and Archives Canada (Government of Canada) · 2013
Typedissertation
Languageen
FieldMedicine
TopicAntifungal resistance and susceptibility
Canadian institutionsnot available
Fundersnot available
KeywordsCandida albicansPathogenic fungusFungusMorphogenesisMicrobiologyCoupling (piping)BiologyMaterials scienceBotanyComposite materialGenetics
DOInot available

Abstract

fetched live from OpenAlex

Temperature is a critical environmental signal, which exerts powerful control over the development and virulence of diverse microbial pathogens. Fungi, along with other microbial species, exploit a diversity of mechanisms to sense and respond to temperature fluctuations that may be encountered in the host or under other conditions of temperature stress. For Candida albicans, the leading fungal pathogen of humans, temperature influences mating, phenotypic switching, resistance to antifungal drugs, and the morphogenetic transition from yeast to filamentous growth. C. albicans morphogenesis is strongly influenced by temperature, and most filament inducing cues depend on a concurrent increase of temperature to 37˚C before morphogenesis can occur. Further elevated temperature of 39˚C to 42˚C can serve as an independent filament-inducing cue, although the molecular mechanisms underpinning this temperature-dependent morphogenetic transition remain largely uncharacterized. Here, I provide the first comprehensive investigation of the molecular mechanisms mediating temperature-dependent morphogenesis in C. albicans. I establish that the thermally responsive molecular chaperone Hsp90 orchestrates temperature-dependent morphogenesis, and that Hsp90 functions as a key temperature sensor, such that elevated temperature is required to relieve Hsp90-mediated repression of the morphogenetic program. Further, I demonstrate that Hsp90 controls morphogenesis via at least two distinct cellular signaling cascades. First, Hsp90 and its co-chaperone Sgt1 physically interact, and together regulate protein kinase A (PKA) signaling via an interaction with the adenylyl cyclase of the PKA cascade, Cyr1, such that genetic depletion of either Hsp90 or Sgt1 activates PKA signaling and induces filamentation. Second, Hsp90 controls temperature-dependent morphogenesis via previously uncharacterized cellular circuitry comprised of the cyclin-dependent kinase Pho85, the cyclin Pcl1, and the transcriptional regulator Hms1. Together, this research illuminates the central role of Hsp90 in coupling temperature sensing and morphogenesis in the human fungal pathogen C. albicans.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.003
GPT teacher head0.167
Teacher spread0.163 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2013
Admission routes1
Has abstractyes

Explore more

Same venueLibrary and Archives Canada (Government of Canada)→Same topicAntifungal resistance and susceptibility→French-language works237,207→