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Record W4378349452 · doi:10.1002/pmic.202200372

Hepatocyte nuclear factor 4α multiple isoforms, their functions, and their interactomes

2023· review· en· W4378349452 on OpenAlexafffund
Jehison Alirio Herrera‐Pulido, François‐Michel Boisvert, François Boudreau

Bibliographic record

VenuePROTEOMICS · 2023
Typereview
Languageen
FieldMedicine
TopicPancreatic function and diabetes
Canadian institutionsUniversité de Sherbrooke
FundersCanadian Institutes of Health Research
KeywordsGene isoformAlternative splicingTranscription factorBiologyComputational biologyHepatocyte nuclear factorsHepatocyte nuclear factor 4Nuclear receptorGeneticsRNA splicingGeneCell biologyFunction (biology)Regulation of gene expressionRNA

Abstract

fetched live from OpenAlex

Hepatocyte nuclear factor 4-alpha (HNF4α) is a master regulator gene belonging to the nuclear receptor superfamily and is involved in regulating a wide range of critical biological processes in different organs. Structurally, the HNF4A locus is organized into two independent promoters and is subjected to alternative splicing to produce twelve distinct isoforms. However, little is known about the biological impact of each isoform and the mechanisms by which they regulate transcription. Proteomic analyses have led to the identification of proteins that interact with specific HNF4α isoforms. The identification and validation of these interactions and their roles in the co-regulation of targeted gene expression are essential to better understand the role of this transcription factor in different biological processes and pathologies. This review addresses the discoveries of different HNF4α isoforms and the main functions of the P1 and P2 isoform subgroups. It also provides information on the most recent focus areas in research on the nature and function of proteins associated with each of the isoforms in some biological contexts.

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 score0.008

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 studies0.0000.000
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 head0.078
GPT teacher head0.309
Teacher spread0.231 · 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

Citations12
Published2023
Admission routes2
Has abstractyes

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Same venuePROTEOMICSSame topicPancreatic function and diabetesFrench-language works237,207