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Record W2164731286 · doi:10.5772/31685

Connexin 43 Enhances the Cisplatin-Induced Cytotoxicity in Mesothelioma Cells

2012· book-chapter· en· W2164731286 on OpenAlexfundno aff
Hiromi Satō, Koichi Ueno

Bibliographic record

VenueInTech eBooks · 2012
Typebook-chapter
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicConnexins and lens biology
Canadian institutionsnot available
FundersToyo UniversityUniversity of British Columbia
KeywordsConnexinMesotheliomaGap junctionCisplatinCell biologyCancer researchHomeostasisBiologyCytotoxicityChemistryPathologyMedicineChemotherapyIn vitroBiochemistryGenetics

Abstract

fetched live from OpenAlex

The direct cell-to-cell communication is performed by gap junctions (GJ) composed of connexin (Cx), a large protein family with a number of subtypes. GJ channels allow the propagation of electrical impulse and the transfer of small molecules (up to 1,000 to 1,500 Da) between two neighbouring cells (Figure 1). And it has also become clear that different combination of Cxs are expressed in different tissues with temporal specificity during development or tissue differentiation (Paul, 1995). By such a rigid regulation, Cxs contribute to maintain cellular homeostasis in many organs. On the contrary, expression levels of Cx proteins are often decreased in many cancers, and restoring their levels has been shown to have antitumor effects. In this concept, there is a possibility to establish a new cancer therapy based on tumor-suppressive functions of Cxs for refractory cancers, such as mesothelioma.

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)0.0000.000
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)0.0030.001

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 head0.021
GPT teacher head0.252
Teacher spread0.231 · 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

Citations0
Published2012
Admission routes1
Has abstractyes

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