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Record W4416384763 · doi:10.1002/cbic.70115

Front Cover: Dominant‐Negative Effects of p53 R337 Variants in Li–Fraumeni Syndrome: Impact on Tetramer Formation and Transcriptional Activity (ChemBioChem 22/2025)

2025· article· en· W4416384763 on OpenAlexaff
Rui Kamada, Shuya Sakaguchi, Madoka Kanno, Natsumi Nakagawa, James G. Omichinski, Kazuyasu Sakaguchi

Bibliographic record

VenueChemBioChem · 2025
Typearticle
Languageen
FieldMedicine
TopicCancer-related Molecular Pathways
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsTetramerTranscriptional activityGermlineMechanism (biology)Front coverTranscriptional regulationDNAMutationProtein–protein interaction

Abstract

fetched live from OpenAlex

This cover highlights the dominant negative effects of Li–Fraumeni syndrome–associated germline TP53 variants at Arg337. Using a novel single-cell assay to visualize p53 heterotetramers and their transcriptional activities, the study reveals that R337H and R337C variants, despite forming heterotetramers with wild-type p53, drastically reduce its activity– especially at apoptosis-related response elements–uncovering a new mechanism underlying p53 dysfunction in cancer predisposition. More details can be found in the Research Article by Kazuyasu Sakaguchi and co-workers (DOI: 10.1002/cbic.202500330)

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.070
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0000.000

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 head0.006
GPT teacher head0.259
Teacher spread0.253 · 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 teacher head, not a consensus.

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
Published2025
Admission routes1
Has abstractyes

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