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Record W1973934708 · doi:10.2174/187153008783928361

Possible Roles of Reg Family Proteins in Pancreatic Islet Cell Growth

2008· article· en· W1973934708 on OpenAlexaff
Jun‐Li Liu, Wei Cui, Bing Li, Yarong Lu

Bibliographic record

VenueEndocrine Metabolic & Immune Disorders - Drug Targets · 2008
Typearticle
Languageen
FieldMedicine
TopicPancreatic function and diabetes
Canadian institutionsRoyal Victoria HospitalMcGill University
Fundersnot available
KeywordsNeogenesisIsletBiologyBeta cellPancreatic isletsCell biologyPancreasGenetically modified mouseGeneKnockout mouseFunction (biology)TransgeneGeneticsComputational biologyDiabetes mellitusEndocrinology

Abstract

fetched live from OpenAlex

Reg proteins constitute a conserved family in human and rodents; their production in the pancreas (including the islets of Langerhans) is induced upon beta-cell damage. While some members of the family (Reg1 and islet neogenesis-associated protein, i.e. INGAP) have been implicated in beta-cell replication and/or neogenesis, including from in vivo studies using transgenic and knockout mice; the roles of the other five members have yet to be characterized. Among them, Reg2 was recently proposed to serve as an autoantigen on beta-cells that elicits T-cell attack in type 1 diabetes mellitus. Elucidation of their actions and identification of their molecular targets should provide insight into the biology of these proteins and lead to the design and development of novel strategies aimed at promoting the survival and function of the pancreatic islets. As the current terminology used for mammalian Reg genes/proteins is very confusing, we also proposed a uniformed classification in human and rodents through sequence alignments.

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)0.001
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 score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.000
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 head0.008
GPT teacher head0.224
Teacher spread0.216 · 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

Citations54
Published2008
Admission routes1
Has abstractyes

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