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Record W2899848229 · doi:10.1093/neuonc/noy148.447

GENE-21. A COMMON FETAL DEVELOPMENTAL ORIGIN FOR PFA EPENDYMOMA, PFB EPENDYMOMA, AND CEREBELLAR PILOCYTIC ASTROCYTOMAS?

2018· article· en· W2899848229 on OpenAlexaff
Maria Vladoiu, Ibrahim El-Hamamy, Laura Donovan, Borja Holgado Lopez, Hamza Farooq, Claudia L. Kleinman, Nada Jabado, Sheila K. Singh, Jennifer A. Chan, Faiyaz Notta, Vijay Ramaswamy, Lincoln Stein, Michael D. Taylor

Bibliographic record

VenueNeuro-Oncology · 2018
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPhytoplasmas and Hemiptera pathogens
Canadian institutionsMcMaster UniversityUniversity of CalgaryMcGill UniversityHospital for Sick ChildrenMontreal Children's HospitalOntario Institute for Cancer ResearchUniversity of Toronto
Fundersnot available
KeywordsBiologyProgenitor cellEpendymomaPopulationStem cellProgenitorCerebellumNeuroscienceCell biologyPathology

Abstract

fetched live from OpenAlex

Single cell RNA-sequencing (scRNAseq) of murine cerebellum at nine fetal and immediate post-natal (E10-P14) times points on >60,000 individual cells to identified >30 transcriptionally distinct cell clusters. Based on marker gene expression, many clusters resemble known cerebellar stem, progenitor, and differentiated cell types, while other clusters are more novel. Pseudo-time trajectory assisted in the reconstruction of known and novel developmental lineages, including the lineage of the cerebellar radial glia. A population of stem cells in the ventricular zone (VZ) gives rise to the progenitors of the GABAergic cerebellar interneurons, as well as the gliogenic progenitor cells, which subsequently become Bergmann glia and astrocytes. A novel, but clearly distinct and robust cluster of cells with transcriptional similarity to both the roof plate and the rhombic lip was identified. Comparison of bulk RNA-seq from human PFA, PFB, and cerebellar pilocytic astrocytomas (C-PA) reveals that all three-tumor types best transcriptionally match the gliogenic progenitor cells, with some similarity to VZ stem cells and the ‘roof plate like’ stem cells. Furthermore, all three tumor types are transcriptionally much more similar to the gliogenic progenitors at E16 than at E14 or E18. Subclustering of gliogenic progenitors reveals significant intra-cluster heterogeneity, with the ependymomas transcriptionally matching one subcluster, and the C-PA clearly matching a very different subcluster. scRNAseq of human PFA and PFB ependymomas reveals multiple tumor cell clusters within a given human ependymoma, with some clusters matching most closely to the gliogenic progenitors, and others matching best to the ‘roof plate like’ stem cells. Similarity to the ‘roof plate stem cells’ (E10-E14), and gliogenic progenitors (E14-E18) suggests an embryonic origin for PFA, PFB, and C-PA, suggests specific novel cells of origin, and offers a novel opportunity to understand posterior fossa tumor transcriptomic targets for novel therapy.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.680
Threshold uncertainty score0.579

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 studies0.0010.000
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 head0.035
GPT teacher head0.270
Teacher spread0.235 · 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
Published2018
Admission routes1
Has abstractyes

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