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Record W4307549833 · doi:10.3390/ijms232112887

Basic Leucine Zipper Transcription Factors as Important Regulators of Leydig Cells’ Functions

2022· review· en· W4307549833 on OpenAlexafffund
Luc J. Martin, Ha Tuyen Nguyen

Bibliographic record

VenueInternational Journal of Molecular Sciences · 2022
Typereview
Languageen
FieldMedicine
TopicSperm and Testicular Function
Canadian institutionsUniversité de Moncton
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsCREB1Leucine zipperbZIP domainBiologyTranscription factorCell biologyATF3CREBActivating transcription factorBasic helix-loop-helix leucine zipper transcription factorsUnfolded protein responsePromoterEndoplasmic reticulumGeneticsDNA-binding proteinGeneGene expression

Abstract

fetched live from OpenAlex

Transcription factors members of the basic leucine zipper (bZIP) class play important roles in the regulation of genes and functions in testicular Leydig cells. Many of these factors, such as cAMP responsive element binding protein 1 (CREB1) and CCAAT enhancer binding protein beta (CEBPB), are regulated by the cAMP/protein kinase A (PKA) pathway, the main signaling pathway activated following the activation of the luteinizing hormone/choriogonadotropin membrane receptor LHCGR by the - hormone LH. Others, such as X-box binding protein 1 (XBP1) and members of the cAMP responsive element binding protein 3 (CREB3)-like superfamily, are implicated in the endoplasmic reticulum stress by regulating the unfolded protein response. In this review, the influences of bZIP transcription factors, including CREB1, CEBPB and activator protein 1 (AP-1) family members, on the regulation of genes important for cell proliferation, steroidogenesis and Leydig cell communication will be covered. In addition, unresolved questions regarding the mechanisms of actions of bZIP members in gene regulation will be identified.

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 score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.050
GPT teacher head0.326
Teacher spread0.276 · 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

Citations29
Published2022
Admission routes2
Has abstractyes

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Same venueInternational Journal of Molecular SciencesSame topicSperm and Testicular FunctionFrench-language works237,207