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Record W7161787274 · doi:10.82308/35715

Neuronal activity represses oncologic transformation of cerebellar external granule cells in medulloblastoma

2022· dissertation· en· W7161787274 on OpenAlexaboutno aff
Claire Chabot

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldNeuroscience
TopicNeuroscience and Neuropharmacology Research
Canadian institutionsnot available
Fundersnot available
KeywordsGlutamate receptorCerebellumMedulloblastomaGranule cellPremovement neuronal activityNeuronCellGranule (geology)

Abstract

fetched live from OpenAlex

Medulloblastoma (MB) is the most prevalent, metastatic pediatric brain tumor and has the highest mortality rate for childhood cancers. In Canada alone, the 25 – 50 children that are diagnosed with MB annually account for 15-25% of all pediatric brain tumours. This research focuses on the SHH MB subgroup which is prevalent in 30% of MB tumors. The cells of origin for SHH MB are cerebellar granule neuron precursors (cGNPs) in the external granule cell layer (EGL) on the surface of the cerebellum. During brain development, cGNPs migrate tangentially and actively proliferate in response to SHH, then migrate radially towards the internal granule cell layer (IGL) to differentiate. Our lab’s previous work demonstrated that a glutamate gradient, originating from the differentiated cells of the IGL may be diffusing towards undifferentiated cGNPs to initiate membrane depolarization, cell cycle exit, and differentiation. We hypothesized that neural activity impairs oncogenic transformation of cerebral granule neuron precursors and is tumor suppressive in SHH MB. We began by characterising the effects of neurotransmitters such as Glutamate and Gaba on cGNPs from P7 mice. The addition of Glutamate and GABA to cGNP cultures demonstrated an anti-proliferative effect despite the presence of a Shh agonist (SAG). Following this, glutamate production in P7 cerebellar cultures in vitro was measured to delineate the effect of glutamate on differential neural activity at different times of postnatal mouse cerebellum development. The results displayed a significant increase in glutamate production by P15 and P21 while simultaneously displaying glutamate’s presence in the post-natal brain as early as P5. Lastly, we measured spontaneous neural activity during development using RNA in-situ hybridization with c-fos and math1/atoh1 probes to understand whether that the in vivo glutamate gradient translates into increased neural activity. Early expression of the c-fos marker in undifferentiated cells demonstrated the presence of depolarising events in the EGL before synapses are formed in the IGL. Co-expression of math1 and c-fos in the int-EGL indicates the expression and manifestation of neural activity is an early event in differentiation in granule cells and the quantification of fluorescence using ImageJ compounded these results. Results from this thesis indicate that a glutamate gradient drives spontaneous neural activity in the cerebellum to counterbalance Shh induced proliferation and drive cell-cycle exit and differentiation

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 score0.005

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)0.0010.000

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 head0.042
GPT teacher head0.358
Teacher spread0.316 · 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
Published2022
Admission routes1
Has abstractyes

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