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Record W2188516465 · doi:10.1002/iub.1441

Molecular basis of the regulation of iron homeostasis in fission and filamentous yeasts

2015· review· en· W2188516465 on OpenAlexafffund
Ariane Brault, Thierry Mourer, Simon Labbé

Bibliographic record

VenueIUBMB Life · 2015
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicFungal and yeast genetics research
Canadian institutionsUniversité de Sherbrooke
FundersFonds de recherche du Québec – Nature et technologiesFaculty of Medicine and Health, University of SydneyNatural Sciences and Engineering Research Council of Canada
KeywordsTranscription factorIron homeostasisBiologyGeneCell biologyPsychological repressionRepertoireFissionRegulation of gene expressionComputational biologyGeneticsGene expression

Abstract

fetched live from OpenAlex

When iron load exceeds that needed by fission and filamentous yeasts, iron-regulatory GATA-type transcription factors repress genes encoding iron acquisition systems. In contrast, under iron starvation, optimization of cellular iron utilization is coordinated by a specialized regulatory subunit of the CCAAT-binding factor that fosters repression of genes encoding iron-using proteins. Despite these findings, there is still limited knowledge concerning the mechanisms by which these iron-responsive regulators respond to high- or low-iron availability. To provide a framework for understanding common and distinct properties of iron-dependent transcriptional regulators, a repertoire of their functional domains in different fungal species is presented here. In addition, discovery of interacting partners of these iron-responsive factors contributes to provide additional insight into their properties.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.002

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 head0.327
Teacher spread0.292 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations36
Published2015
Admission routes2
Has abstractyes

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