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Record W17729363 · doi:10.1002/jmri.21067

Spy1 Regulation of the DNA Damage Response; Checkpoint Activation and Cellular Senescence

2013· article· en· W17729363 on OpenAlexfundno aff
Espanta Jalili

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicUbiquitin and proteasome pathways
Canadian institutionsnot available
FundersNational Center for Research ResourcesNational Institute of Biomedical Imaging and BioengineeringNational Cancer InstituteCanadian Breast Cancer Research AllianceCancer Research Society
KeywordsDNA damageG2-M DNA damage checkpointSenescenceCellular senescenceDNABiologyCHEK1Cell biologyCell cycle checkpointSOS responseCancer researchGeneticsCell cycleApoptosisGenePhenotype

Abstract

fetched live from OpenAlex

Cyclin-dependent kinases (Cdks) control progression through the cell cycle. Proper regulation of the events associated with each phase is critical for the cellular response to alterations induced by intrinsic and extrinsic signals. The requirement for tight, and highly-ordered control of the cell cycle is evident given the multi-mechanistic regulation of Cdks. Positive stimulation of Cdks is regulated by several means, such as activation by phosphorylation and interaction with cyclin proteins expressed only at specific times during the cell cycle. Negative regulation of Cdk activity involves interaction with Cdk inhibitors and modification at inhibitory residues. It is noteworthy, however, that regulation of Cdk activity is not exclusively accomplished through these mechanisms. The speedy/RINGO family of proteins is uniquely capable of activating Cdk1 and 2 in the absence of positive regulation. The originally identified human homolog of this family, Spy1, is expressed in a variety of human tissues and found at elevated levels in several human cancers. Abnormally elevated Spy1 bypasses checkpoint activation and suppresses apoptosis. A detailed understanding of how Spy1 is regulated is required to determine the contribution of Spy1 in normal cell cycle progression and cellular homeostasis. Here, I demonstrate that Spy1 is selectively regulated as part of the cellular response following DNA damage. Degradation of Spy1 depends on Chk2 and p53, and appears to occur via the ubiquitin/proteasome system. Moreover, Spy1 expression bypasses UV-induced premature senescence as well as replicative-induced senescence in the presence of p53 and p21. Knock-down of endogenous Spy1 accelerates the onset of senescence, suggesting a functional role for Spy1 in the regulation of cellular senescence. Furthermore, our work reports a unique mechanism of Cdk activation, in which Spy1 interacts with the Cdk2/p21 complex, promotes degradation of p21, and subsequently activates Cdk2. This level of cell cycle regulation may be explained as a "back-up" mechanism for cells to tolerate the alterations induced by various stimuli.

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)0.001
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 score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
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 head0.009
GPT teacher head0.208
Teacher spread0.199 · 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
Published2013
Admission routes1
Has abstractyes

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