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Record W1984848300 · doi:10.1074/jbc.m306758200

SHP-2 Regulates SOCS-1-mediated Janus Kinase-2 Ubiquitination/Degradation Downstream of the Prolactin Receptor

2003· article· en· W1984848300 on OpenAlexaff
Samir Ali, Zaynab Nouhi, Naila Chughtai, Suhad Ali

Bibliographic record

VenueJournal of Biological Chemistry · 2003
Typearticle
Languageen
FieldMedicine
TopicCytokine Signaling Pathways and Interactions
Canadian institutionsMcGill UniversityRoyal Victoria Hospital
Fundersnot available
KeywordsJanus kinase 2Cell biologyUbiquitin ligaseJanus kinaseSTAT proteinCytokine receptorProtein tyrosine phosphataseSOCS3Prolactin receptorSignal transductionPhosphorylationUbiquitinBiologyChemistrySTAT3ProlactinBiochemistry

Abstract

fetched live from OpenAlex

The protein tyrosine phosphatase SHP-2 is an important regulator of the Janus kinase-2 (Jak2)/signal transducer and activator of transcription (Stat) pathway downstream of the cytokine/prolactin receptor family. We report that SHP-2 dephosphorylates tyrosine (Tyr-1007) of Jak2 kinase, a critical recruitment site for the ubiquitin ligase-associated inhibitory protein suppressor of cytokine signaling-1 (SOCS-1), thereby contributing to Jak2 stability. Inactivation of SHP-2 function by blocking receptor/SHP-2 association or by using a catalytically inactive mutant of SHP-2 led to a marked increase in Jak2 ubiquitination/degradation, Jak2 phosphorylation on Tyr-1007, and Jak2/SOCS-1 association. Furthermore, functional studies indicate that modulating the interaction of Jak2/SOCS-1 by SHP-2 is essential for prolactin/Stat5-mediated signaling. Together our results provide a novel function for SHP-2 as a positive regulator of cytokine receptor signaling by regulating ubiquitination/degradation pathways.

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 score0.005

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 head0.026
GPT teacher head0.260
Teacher spread0.235 · 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

Citations86
Published2003
Admission routes1
Has abstractyes

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