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Record W2081215964 · doi:10.1039/c3mb70493a

Electrochemical detection of the Fc-STAT3 phosphorylation and STAT3–Fc-STAT3 dimerization and inhibition

2013· article· en· W2081215964 on OpenAlexafffund
Sanela Martić, Meghan K. Rains, Sina Haftchenary, Vijay Shahani, Dziyana Kraskouskaya, Daniel P. Ball, Patrick T. Gunning, Heinz‐Bernhard Kraatz

Bibliographic record

VenueMolecular BioSystems · 2013
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicChemical Synthesis and Analysis
Canadian institutionsDairy Farmers of OntarioThe Scarborough HospitalUniversity of Toronto
FundersNatural Sciences and Engineering Research Council of CanadaUniversity of Toronto
KeywordsSTAT proteinSTAT3ChemistryFerroceneElectrochemistryRedoxActivator (genetics)PhosphorylationBiophysicsBiochemistryCell biologyCombinatorial chemistryBiologyReceptorElectrodeInorganic chemistry

Abstract

fetched live from OpenAlex

Signal transducer and activator of transcription 3 (STAT3) protein is involved in regulatory functions in cell proliferation, differentiation and survival, and is linked to cancer phenotype and tumorigenesis. Towards developing new methodologies for screening STAT3 interactions, the electrochemical method based on the use of redox active protein was proposed. The electrochemical signal, due to the redox (ferrocene)-labeled STAT3 protein immobilized on a gold surface, was modulated due to protein dimerization with the unlabeled STAT3 molecule. The dramatic decrease in current density from 2.7 μA cm(-2) to 0.5 μA cm(-2) was observed following the STAT3-ferrocene-STAT3 dimerization. The electrochemical approach was further extended for screening the potential dimerization inhibitors. Previously published potent salicylic acid derivatives were the most promising candidates for inhibition of STAT3 dimerization in this assay. We expect that other SH2-containing proteins may be monitored by the proposed electrochemical method.

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)0.001
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 score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
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 head0.002
GPT teacher head0.171
Teacher spread0.169 · 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

Citations5
Published2013
Admission routes2
Has abstractyes

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