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Record W2028944165 · doi:10.1210/mend.16.6.0845

Growth Enhancement in Suppressor of Cytokine Signaling 2 (SOCS-2)-Deficient Mice Is Dependent on Signal Transducer and Activator of Transcription 5b (STAT5b)

2002· article· en· W2028944165 on OpenAlexaff
Christopher J. Greenhalgh, Patrick Bertolino, L. Sylvia, Donald Metcalf, Jason Corbin, Timothy E. Adams, Helen W. Davey, Nicos A. Nicola, Douglas J. Hilton, Warren S. Alexander

Bibliographic record

VenueMolecular Endocrinology · 2002
Typearticle
Languageen
FieldMedicine
TopicCytokine Signaling Pathways and Interactions
Canadian institutionsUniversity of TorontoUniversity Health Network
FundersNational Cancer Institute
KeywordsSTAT proteinBiologySignal transductionSuppressor of cytokine signallingActivator (genetics)CytokineSOCS2Suppressor of cytokine signaling 1SOCS3Transcription factorSTAT3EndocrinologyStimulationCell biologyInternal medicineSuppressorCancer researchImmunologyReceptorGeneMedicineGenetics

Abstract

fetched live from OpenAlex

Mice lacking suppressor of cytokine signaling-2 (SOCS-2) exhibit accelerated postnatal growth resulting in adult mice that are 1.3 to 1.5 times the size of normal mice. In this study we examined the somatotrophic pathway to determine whether the production or actions of GH or IGF-I are altered in these mice. We demonstrated that SOCS-2(-/-) mice do not have elevated GH levels and suffer no major pituitary dysmorphogenesis, and that SOCS-2-deficient embryonic fibroblasts do not have altered IGF-I signaling. Primary hepatocytes from SOCS-2(-/-) mice, however, did have moderately prolonged signal transducer and activator of transcription 5 signaling in response to GH stimulation. Furthermore, the deletion of SOCS-2 from mice also lacking signal transducer and activator of transcription 5b had little effect on growth, suggesting that the action of SOCS-2 may be the regulation of the GH signaling pathway.

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 score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.022
GPT teacher head0.259
Teacher spread0.237 · 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

Citations161
Published2002
Admission routes1
Has abstractyes

Explore more

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