MétaCan
Menu
Back to cohort

Abstract LB-022: The E3-ligase CHIP negatively regulates the expression and function of the tumor suppressor TAp63 through ubiquitination and subsequent proteasome-mediated degradation

2016· article· en· W2483872834 on OpenAlexaff
Stephen Armstrong, Benfan Wang, Yasser Abuetabh, Roger Leng

Bibliographic record

VenueCancer Research · 2016
Typearticle
Languageen
FieldMedicine
TopicCancer-related Molecular Pathways
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsUbiquitin ligaseUbiquitinProteasomeBiologyEctopic expressionMdm2Cell biologyTranscription factorRegulatorTransfectionCancer researchMolecular biologyApoptosisCell cultureGeneticsGene

Abstract

fetched live from OpenAlex

Abstract The p53 tumor suppressor family is comprised of three members: p53, p63, and p73. These transcription factors can negatively regulate cell proliferation by inducing the expression of proteins related to apoptosis (ex. bax) and cell cycle arrest (ex. p21). Isoforms of the p63 protein can be divided into two major groups, the transcriptionally active TAp63 variants, and the dominant-negative ΔNp63 variants. The TAp63 variants are considered to be tumor suppressor proteins that can cooperate with p53 and p73 to prevent cancer development. Unlike p53, which is frequently mutated in cancer, TAp63 is rarely mutated, and its transcription function is primarily regulated at the protein level. One such method of regulation at this level is proteasome-mediated degradation, initiated by tagging the substrate protein with a poly-ubiquitin chain recognized by the proteasome. This ubiquitination is mediated by E-3 ligases such as Mdm2 and AIP4, two previously characterized regulators of the p53 family. In this study, we report that CHIP, an E-3 ligase involved in protein chaperoning during the heat shock response is a negative regulator of TAp63. The purpose of this study was to characterize CHIP as a TAp63-interacting protein that negatively regulates TAp63 expression and function. Using transient transfection assays, we found that CHIP can bind to, ubiquitinate, and reduce the expression of TAp63 in H1299 lung carcinoma cells. Stably knocking down CHIP expression in these cells using anti-CHIP shRNA restores endogenous p63 expression. This negative regulation of TAp63 by CHIP is associated with a decrease in p21 promoter transcription (measured by a luciferase reporter assay), cell cycle arrest and cellular apoptosis (measured by flow cytometry), and accompanied by an increase in cell survival (measured by colony forming assay) and invasive capacity (measured by a cell scattering assay). An immunoblot analysis of carcinoma cell lines and invasive prostate cancer tissue samples also demonstrates a negative correlation between CHIP and TAp63 expression levels. We conclude that CHIP is a negative regulator of TAp63 expression and function, and, therefore, has an oncogenic role in context with TAp63. Citation Format: Stephen R. Armstrong, Benfan Wang, Yasser Abuetabh, Roger Leng. The E3-ligase CHIP negatively regulates the expression and function of the tumor suppressor TAp63 through ubiquitination and subsequent proteasome-mediated degradation. [abstract]. In: Proceedings of the 107th Annual Meeting of the American Association for Cancer Research; 2016 Apr 16-20; New Orleans, LA. Philadelphia (PA): AACR; Cancer Res 2016;76(14 Suppl):Abstract nr LB-022.

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 score0.002
Threshold uncertainty score0.006

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)0.0020.001

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 head0.055
GPT teacher head0.335
Teacher spread0.280 · 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
Published2016
Admission routes1
Has abstractyes

Explore more

Same venueCancer ResearchSame topicCancer-related Molecular PathwaysFrench-language works237,207