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Record W2077167936 · doi:10.1126/science.1224339

Global Gene Deletion Analysis Exploring Yeast Filamentous Growth

2012· article· en· W2077167936 on OpenAlexafffund
Owen Ryan, Rebecca S. Shapiro, Christoph F. Kurat, David Mayhew, Anastasia Baryshnikova, Brian Chin, Zhen‐Yuan Lin, Michael J. Cox, Frederick S. Vizeacoumar, Doris Cheung, Sondra Bahr, Kyle Tsui, Faïza Tebbji, Adnane Sellam, Fabian Istel, Tobias Schwarzmüller, Todd B. Reynolds, Karl Kuchler, David K. Gifford, Malcolm Whiteway, Guri Giaever, Corey Nislow, Michael Costanzo, Anne‐Claude Gingras, Robi D. Mitra, Brenda Andrews, Gerald R. Fink, Leah E. Cowen, Charles Boone

Bibliographic record

VenueScience · 2012
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicFungal and yeast genetics research
Canadian institutionsMcGill UniversityBiotechnology Research InstituteLunenfeld-Tanenbaum Research InstituteMount Sinai HospitalUniversity of Toronto
FundersNational Institute of General Medical SciencesCanadian Institutes of Health ResearchHoward Hughes Medical Institute
KeywordsBiologySaccharomyces cerevisiaeCandida albicansGeneYeastGeneticsFilamentationGenomeCell biologyMicrobiology

Abstract

fetched live from OpenAlex

The dimorphic switch from a single-cell budding yeast to a filamentous form enables Saccharomyces cerevisiae to forage for nutrients and the opportunistic pathogen Candida albicans to invade human tissues and evade the immune system. We constructed a genome-wide set of targeted deletion alleles and introduced them into a filamentous S. cerevisiae strain, Σ1278b. We identified genes involved in morphologically distinct forms of filamentation: haploid invasive growth, biofilm formation, and diploid pseudohyphal growth. Unique genes appear to underlie each program, but we also found core genes with general roles in filamentous growth, including MFG1 (YDL233w), whose product binds two morphogenetic transcription factors, Flo8 and Mss11, and functions as a critical transcriptional regulator of filamentous growth in both S. cerevisiae and 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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.190
Threshold uncertainty score0.251

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.035
GPT teacher head0.301
Teacher spread0.266 · 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 teacher head, 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

Citations221
Published2012
Admission routes2
Has abstractyes

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