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Record W2030418851 · doi:10.1210/en.2010-1065

Expression of Insulinoma-Associated 2 (INSM2) in Pancreatic Islet Cells Is Regulated by the Transcription Factors Ngn3 and NeuroD1

2011· article· en· W2030418851 on OpenAlexaff
Tao Cai, Xiang Chen, Rennian Wang, Huan Xu, Yuhui You, Tao Zhang, Michael S. Lan, Abner Louis Notkins

Bibliographic record

VenueEndocrinology · 2011
Typearticle
Languageen
FieldMedicine
TopicPancreatic function and diabetes
Canadian institutionsWestern University
FundersNational Institutes of Health
KeywordsIsletBiologyPancreasTranscription factorChromatin immunoprecipitationInsulinomaPancreatic isletsInternal medicineEctopic expressionCell biologyPAX4EndocrinologyMolecular biologyCancer researchPromoterGene expressionGeneHomeoboxInsulinGeneticsMedicine

Abstract

fetched live from OpenAlex

The insulinoma-associated 2 (Insm2) gene is a member of the Snail/Gfi1/Insm1 transcriptional repressor superfamily. However, little is known about how the expression of human INSM2 or mouse Insm2 in neuroendocrine tissues is regulated. Here we report the expression of INSM2/Insm2 in human fetal pancreas and mouse embryos, as well as adult pancreatic islets, and its regulation by two major islet transcription factors. Mutagenesis and chromatin immunoprecipitation analysis demonstrated that the proximal E-boxes of the mouse Insm2 promoter are direct targets of neurogenin 3 and neurogenic differentiation 1 (NeuroD1). Furthermore, we found that endogenous Insm2 expression was activated in Ngn3/NeuroD1-transduced pancreatic epithelial duct cells. Our results suggest that Insm2 plays an important role in the differentiation cascade of Ngn3/NeuroD1 signaling in pancreatic islets.

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 head0.027
GPT teacher head0.228
Teacher spread0.201 · 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

Citations23
Published2011
Admission routes1
Has abstractyes

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