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Record W2138648988

Regulation of the multidrug resistance genes by stress signals.

2000· article· en· W2138648988 on OpenAlexaff
Mahadeo A. Sukhai, Micheline Piquette‐Miller

Bibliographic record

VenuePubMed · 2000
Typearticle
Languageen
FieldMedicine
TopicDrug Transport and Resistance Mechanisms
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMultiple drug resistanceEndogenyHeat shock proteinInflammationTransporterBiologyP-glycoproteinATP-binding cassette transporterProinflammatory cytokineCytotoxic T cellPharmacologyGeneDrug resistanceCell biologyImmunologyComputational biologyBiochemistryGenetics
DOInot available

Abstract

fetched live from OpenAlex

Transporters in the body play a large role in the distribution and elimination of many clinically important therapeutic substances. Of these, perhaps the one that has been best studied is P-Glycoprotein (PGP), a 170 kDa membrane-bound protein which has been implicated as a primary cause of multidrug-resistance in tumors. An understanding of the physiological regulation of these transporters is key to designing strategies for the improvement of therapeutic efficacy of drugs which are their substrates. To that end, we examine herein the current state of understanding of the molecular regulation of PGP by a variety of endogenous and environmental stimuli which evoke stress responses including cytotoxic agents, heat shock, irradiation, genotoxic stress, inflammation, inflammatory mediators, cytokines and growth factors.

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 score0.002
Threshold uncertainty score0.006

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)0.0020.001

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 head0.008
GPT teacher head0.191
Teacher spread0.182 · 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

Citations143
Published2000
Admission routes1
Has abstractyes

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