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Record W2767946275 · doi:10.1093/neuonc/nox168.398

GENE-24. ATRX DEFICIENCY IN GLIOMA CELLS OF ORIGIN PROMOTES DISEASE-DEFINING PHENOTYPES BY WAY OF GLOBAL EPIGENOMIC REMODELING

2017· article· en· W2767946275 on OpenAlexaff
Carla Danussi, Promita Bose, Prasanna Tamarapu Parthasarathy, Pedro C. Silberman, John S. Van Arnam, Mark Vitucci, Oliver Y. Tang, Adriana Heguy, Timothy A. Chan, Erik P. Sulman, F. Lang, Chad J. Creighton, Benjamin Deneen, C. Ryan Miller, David J. Picketts, Kasthuri Kannan, Jason T. Huse

Bibliographic record

VenueNeuro-Oncology · 2017
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicChromatin Remodeling and Cancer
Canadian institutionsOttawa Hospital
Fundersnot available
KeywordsATRXBiologyEpigenomicsEpigeneticsGeneticsCarcinogenesisHistoneCancer researchDNA methylationMutationGeneGene expression

Abstract

fetched live from OpenAlex

Epigenomic abnormalities are increasingly recognized as driver mechanisms in cancer, and somatic mutations in genes encoding epigenetic regulators have now been widely reported across a number of cancer types. Diffusely infiltrating gliomas, feature loss-of function mutations in the SWI/SNF chromatin remodeler gene ATRX as defining molecular alterations delineating major adult and pediatric disease subtypes. Within this disease context, ATRX deficiency invariably co-occurs with mutations in TP53 and in genes encoding either IDH1/2 in adults or H3.3 histone in children. So far, ATRX deficiency has been linked to a wide spectrum of physiological dysfunction, including aberrant gene regulation, abnormal telomere maintenance, genomic instability, and aneuploidy, but the molecular mechanism(s) by which ATRX deficiency promotes oncogenesis are still largely unknown, particularly those involving epigenomic dysregulation. To model these events in putative glioma cells of origin, we inactivated Atrx in primary murine neuroepithelial progenitors (mNPCs). Interestingly, Atrx loss induced NPCs to stop growing as neurospheres and adopt an adherent phenotype, while also exhibiting significantly increased motility. Moreover, when cultured in differentiation conditions, Atrx deficient cells displayed upregulation of astrocyte markers and downregulation of neuronal and oligodendrocyte markers, suggesting that Atrx directly regulates NPCs differentiation state and potential. Notably, the observed phenotypes correlated with altered gene expression profiles involving molecular networks implicated in development, regulation of signal transduction and cellular motility and invasion. Integrating these transcriptional changes with shifts in chromatin accessibility occurring with Atrx deficiency and genome-wide Atrx distribution, as determined by ChIP-seq, revealed highly significant spatial correlations between differentially expressed genes, regions of altered chromatin compaction, histone composition and genomic sites normally occupied by Atrx. Taken together, these findings demonstrate that Atrx deficiency induces widespread disruptions in chromatin organization, which in turn lead to dramatic shifts in gene expression and acquisition of disease-relevant phenotypes in putative glioma cells of origin.

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)0.000
metaresearch head score (Gemma)0.000
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 score0.009
Threshold uncertainty score0.724

Codex and Gemma teacher scores by category

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)0.0000.000

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 head0.017
GPT teacher head0.291
Teacher spread0.274 · 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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