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Record W4388588556 · doi:10.1093/neuonc/noad179.0479

EPCO-16. DISRUPTING DOT1L EPIGENETIC ACTIVITY REPROGRAMS GLIOBLASTOMA STEM CELLS TOWARDS A DOPAMINERGIC NEURONAL-LIKE STATE

2023· article· en· W4388588556 on OpenAlexaff
Samir Assaf, Danielle Bozek, H. Artee Luchman, Samuel Weiss

Bibliographic record

VenueNeuro-Oncology · 2023
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicEpigenetics and DNA Methylation
Canadian institutionsInstitute of Neurosciences, Mental Health and AddictionGovernment of CanadaUniversity of Calgary
Fundersnot available
KeywordsEpigeneticsBiologyChromatinNeural stem cellTranscription factorStem cellEpigenetic regulation of neurogenesisEpigenomicsEmbryonic stem cellGene silencingRegulation of gene expressionNeuroscienceGene expressionGeneticsCancer researchCell biologyDNA methylationChromatin remodelingGene

Abstract

fetched live from OpenAlex

Abstract Glioblastoma is the most common and aggressive primary adult brain tumor, remaining incurable despite current therapeutic strategies. Through a genome-wide essentiality screen, we previously identified disruptor of telomeric silencing-1-like (DOT1L) as one of the most important epigenetic regulators in glioblastoma stem cells (GSCs). Chemogenic inhibition of DOT1L epigenetic activity was found to increase the expression of neuronal markers while decreasing the expression of cancer stem cell markers at the transcriptional and protein level, suggesting GSC differentiation towards a neuronal lineage. Thus, we sought to investigate the mechanism of DOT1L in GSCs and whether disruption of DOT1L epigenetic activity promotes functional integration of GSCs into neural circuits. Here, we profiled the overall transcriptional and chromatin accessibility landscape of GSCs following DOT1L inhibition. Interestingly, we identified that DOT1L inhibition results in increased chromatin accessibility at key gene loci involved in neural differentiation, synaptic transmission, in addition to dopamine synthesis, packaging, and release, which correlated with upregulated gene expression. Furthermore, these gene loci exhibited alterations of the DOT1L epigenetic mark, H3K79me2. Transcriptional motif analysis of GSCs following DOT1L inhibition revealed dysregulated accessibility of transcription factor motifs known to be involved in regulating cellular response to neuronal signals. Cell viability assessment of GSCs treated with a DOT1L inhibitor and a panel of neurotransmitters further confirmed that DOT1L inhibition sensitizes GSCs to neuronal signals. These data suggest that disrupting the epigenetic activity of DOT1L reprograms the epigenetic landscape of GSCs to promote a functional, dopaminergic, neuronal-like state that exhibits enhanced responsiveness to neuronal signals. Future experiments aim to investigate the impact of disrupted DOT1L epigenetic activity on GSC-neuronal bidirectional communication and the mechanisms by which this influences the progression and aggressiveness of glioblastoma.

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 score0.008

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 integrity0.0000.001
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 head0.021
GPT teacher head0.295
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 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
Published2023
Admission routes1
Has abstractyes

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