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Mercuric chloride activates the Src‐family protein tyrosine kinase, Hck in myelomonocytic cells

2000· article· en· W1561582039 on OpenAlexaff
Stephen M. Robbins, Nancy Quintrell, J. Michael Bishop

Bibliographic record

VenueEuropean Journal of Biochemistry · 2000
Typearticle
Languageen
FieldImmunology and Microbiology
TopicT-cell and B-cell Immunology
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsTyrosine-protein kinase CSKProto-oncogene tyrosine-protein kinase SrcTyrosine kinaseTyrosine phosphorylationChemistryLYNPhosphorylationTyrosineKinaseProtein tyrosine phosphataseSH2 domainSykCell biologySrc family kinaseMolecular biologyCancer researchSignal transductionBiochemistryBiology

Abstract

fetched live from OpenAlex

Hck is a member of the Src-family of protein tyrosine kinases that appears to function in mature leukocytes to communicate a number of extracellular signals including various cytokines. In this study we show that the thiol-reactive heavy metal, mercuric chloride (HgCl2) induces rapid and robust activation of tyrosine phosphorylation within human myelomonocytic cells. This increase in tyrosine-phosphorylated proteins requires the activity of Hck because both kinase inactive alleles of Hck and pharmacological inhibitors selective for the Src-family kinases are able to abrogate the cellular response to HgCl2. Furthermore, ectopic expression of Hck in murine fibroblasts is able to confer HgCl2 responsiveness, as indicated by an increase in tyrosine-phosphorylated proteins to a normally nonresponsive cell line. Concomitant with the activation of Hck, there is a physical association of Hck with another cytoplasmic protein tyrosine kinase, Syk. The ability of HgCl2 to activate Src-family kinases such as Hck in hematopoietic cells may help explain why exposure to the heavy metal is associated with immune system dysfunction in rodents as well as humans.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
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 score0.046
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

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 communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.009
GPT teacher head0.198
Teacher spread0.189 · 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; both teacher heads agree on what is shown here.

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

Citations11
Published2000
Admission routes1
Has abstractyes

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