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Record W2806476124 · doi:10.1038/s41467-018-03020-6

BRE/BRCC45 regulates CDC25A stability by recruiting USP7 in response to DNA damage

2018· article· en· W2806476124 on OpenAlexfundno aff
Kajal Biswas, Subha Philip, Aditya Yadav, Betty K. Martin, Sandra Burkett, Vaibhav Singh, Anav Babbar, Susan L. North, Suhwan Chang, Shyam K. Sharan

Bibliographic record

VenueNature Communications · 2018
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicUbiquitin and proteasome pathways
Canadian institutionsnot available
FundersNational Cancer InstituteNational Institutes of HealthYork University
KeywordsCDC25ACarcinogenesisDNA damageBiologyLoss of heterozygosityRegulatorGenome instabilityDNA repairCell biologyMutationCancer researchMutagenesisCell cycleGeneGeneticsDNACell cycle checkpointAllele

Abstract

fetched live from OpenAlex

BRCA2 is essential for maintaining genomic integrity. BRCA2-deficient primary cells are either not viable or exhibit severe proliferation defects. Yet, BRCA2 deficiency contributes to tumorigenesis. It is believed that mutations in genes such as TRP53 allow BRCA2 heterozygous cells to overcome growth arrest when they undergo loss of heterozygosity. Here, we report the use of an insertional mutagenesis screen to identify a role for BRE (Brain and Reproductive organ Expressed, also known as BRCC45), known to be a part of the BRCA1-DNA damage sensing complex, in the survival of BRCA2-deficient mouse ES cells. Cell viability by BRE overexpression is mediated by deregulation of CDC25A phosphatase, a key cell cycle regulator and an oncogene. We show that BRE facilitates deubiquitylation of CDC25A by recruiting ubiquitin-specific-processing protease 7 (USP7) in the presence of DNA damage. Additionally, we uncovered the role of CDC25A in BRCA-mediated tumorigenesis, which can have implications in cancer treatment.

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 score0.001
Threshold uncertainty score0.003

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 communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.027
GPT teacher head0.315
Teacher spread0.288 · 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

Citations38
Published2018
Admission routes1
Has abstractyes

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Same venueNature CommunicationsSame topicUbiquitin and proteasome pathwaysFrench-language works237,207