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Abstract IA17: Non-canonical aspects of ATM and p53 signaling pathways

2017· article· en· W2604806672 on OpenAlexaboutno aff
Michael B. Kastan, Peter M. Scarbrough, Jing Chen, Adam D. Brown, John Crutchley, Donald E. Fleenor

Bibliographic record

VenueMolecular Cancer Research · 2017
Typearticle
Languageen
FieldMedicine
TopicCancer-related Molecular Pathways
Canadian institutionsnot available
Fundersnot available
KeywordsDNA damageAtaxia-telangiectasiaBiologySignal transductionCancer researchCell biologyDNA repairNeurodegenerationKinaseGeneticsGeneDNADiseaseMedicine

Abstract

fetched live from OpenAlex

Abstract The ATM protein kinase and p53 protein are both central mediators of many aspects of DNA damage and cellular stress signaling. While there is a clear, direct relationship between ATM and p53, ATM has numerous substrates in addition to p53 and, conversely, p53 can be activated by selected stresses without ATM. We have identified novel aspects of stress response signaling independently involving either ATM or p53. Though ATM plays a central role in mediating cellular responses to DNA breakage, some of the clinical abnormalities in the cancer-prone disorder, Ataxia-telangiectasia (A-T), are difficult to attribute directly to alterations in DNA damage signaling, such as neurodegeneration (primarily cerebellar), immunodeficiency, insulin resistance, progressive lung disease, and telangiectasia development. Our recent data demonstrate that, in addition to its DNA damage signaling functions, the ATM protein kinase has critical, p53-independent, non-canonical roles in modulating mitochondrial function and affecting metabolic stress signaling. It is intriguing that one gene product seems to be at a nexus of DNA damage signaling and metabolic signaling, but perhaps it should not be surprising that these pathways would be linked and that a protein with a PI-3K domain and a protein in the mTOR kinase family would provide such a link. These insights suggest that Ataxia-telangiectasia should be considered, at least in part, as a mitochondrial dysfunction disease and provide links between cancer-related DNA damage signaling, general metabolic signaling pathways, and cancer development. We have also identified novel aspects of p53 regulation by DNA damage involving ATM-independent regulation of RNA splicing, a process which affects splicing of p53 and other gene products and modulates cellular outcome after DNA damage. This DNA damage-induced alternative splicing pathway expands the repertoire of gene products that modulate cellular stress responses. Citation Format: Michael B. Kastan, Peter Scarbrough, Jing Chen, Adam Brown, John Crutchley, Donald Fleenor. Non-canonical aspects of ATM and p53 signaling pathways [abstract]. In: Proceedings of the AACR Special Conference on DNA Repair: Tumor Development and Therapeutic Response; 2016 Nov 2-5; Montreal, QC, Canada. Philadelphia (PA): AACR; Mol Cancer Res 2017;15(4_Suppl):Abstract nr IA17.

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 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 score0.035
Threshold uncertainty score0.923

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.088
GPT teacher head0.401
Teacher spread0.314 · 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.

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
Published2017
Admission routes1
Has abstractyes

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