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Record W2063762677 · doi:10.4161/isl.3.6.18158

The redundant role of JAK2 in regulating pancreatic β-cell mass

2011· article· en· W2063762677 on OpenAlexafffund
Diana Choi, Erica P. Cai, Minna Woo

Bibliographic record

VenueIslets · 2011
Typearticle
Languageen
FieldMedicine
TopicErythrocyte Function and Pathophysiology
Canadian institutionsSt. Michael's HospitalUniversity of Toronto
FundersCanadian Institutes of Health Research
KeywordsErythropoietinErythropoiesisJanus kinase 2Erythropoietin receptorEndocrinologyInternal medicineBiologyHaematopoiesisTyrosine kinaseReceptorReceptor tyrosine kinaseCancer researchCell biologySignal transductionAnemiaStem cellMedicine

Abstract

fetched live from OpenAlex

Janus kinase (JAK) 2 is a non-receptor tyrosine kinase that mediates the downstream effects of various growth factors, including growth hormone, prolactin, placental lactogen, and erythropoietin (EPO). EPO is a hematopoietic growth factor that is largely known for its role in promoting proliferation, differentiation and survival of cells in the erythroid lineage. Global loss of the EPO receptor (EPO-R) has been shown to be embryonically lethal in mice due to anemia attributed to defects in erythropoiesis. Interesting, mice with global deficiency of JAK2 share a similar developmental phenotype as the EPO-R knockout mice, demonstrating that JAK2 is essential in eliciting the biological effects of EPO, particularly in erythrocytosis. Recent studies from our group have shown that exogenous EPO protects mice against diabetes through direct effects on pancreatic β-cells, and these protective effects are dependent on the presence of JAK2 in the β-cells. Here, we briefly highlight the cytoprotective effects of exogenous EPO in the pancreatic β-cells as well as our new findings on the redundant role of JAK2 in β-cell expansion after high-fat feeding in mice.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.408
Threshold uncertainty score0.182

Codex and Gemma teacher scores by category

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)0.0000.000

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 head0.019
GPT teacher head0.232
Teacher spread0.212 · 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 teacher head, 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

Citations4
Published2011
Admission routes2
Has abstractyes

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