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Record W6946258964 · doi:10.3204/pubdb-2020-03226

p63 uses a switch-like mechanism to set the threshold for induction of apoptosis

2020· article· en· W6946258964 on OpenAlexfundno aff

Bibliographic record

VenueDESY Publication Database (PUBDB) (Deutsches Elektronen-Synchrotron) · 2020
Typearticle
Languageen
FieldMedicine
TopicCancer-related Molecular Pathways
Canadian institutionsnot available
FundersKnut och Alice Wallenbergs StiftelseMax-Planck-GesellschaftKarolinska InstitutetZonMwStiftelsen för Strategisk ForskningGlaxoSmithKlineOntario Innovation TrustDeutsche ForschungsgemeinschaftOntario Genomics InstituteOntario GenomicsGenome CanadaWellcome TrustBundesministerium für Bildung und Forschung
KeywordsPhosphorylationTetramerPhosphorylation cascadeRegulatorKineticsDNAKinaseSubstrate-level phosphorylation

Abstract

fetched live from OpenAlex

The p53 homolog TAp63$α$ is the transcriptional key regulator of genome integrity in oocytes. After DNA damage, TAp63$α$ is activated by multistep phosphorylation involving multiple phosphorylation events by the kinase CK1, which triggers the transition from a dimeric and inactive conformation to an open and active tetramer that initiates apoptosis. By measuring activation kinetics in ovaries and single-site phosphorylation kinetics in vitro with peptides and full-length protein, we show that TAp63$α$ phosphorylation follows a biphasic behavior. Although the first two CK1 phosphorylation events are fast, the third one, which constitutes the decisive step to form the active conformation, is slow. Structure determination of CK1 in complex with differently phosphorylated peptides reveals the structural mechanism for the difference in the kinetic behavior based on an unusual CK1/TAp63$α$ substrate interaction in which the product of one phosphorylation step acts as an inhibitor for the following one.

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)0.001
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 score0.263
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.002
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
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 head0.062
GPT teacher head0.291
Teacher spread0.228 · 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
Published2020
Admission routes1
Has abstractyes

Explore more

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