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Record W2899768010 · doi:10.1093/neuonc/noz036.198

MEDU-40. MATCHING OF SINGLE CELL TRANSCRIPTOMICS FROM CEREBELLAR DEVELOPMENT IDENTIFIES PUTATIVE SUBGROUP SPECIFIC CELLS OF ORIGIN FOR MEDULLOBLASTOMA

2019· article· en· W2899768010 on OpenAlexaff
Ibrahim El-Hamamy, Maria Vladoiu, Laura Donovan, Hamza Farooq, Borja Holgado, Vijay Ramaswamy, Florence M.G. Cavalli, Betty Luu, Jennifer A. Chan, Claudia L. Kleinman, Alexandra L. Joyner, Nada Jabado, Lincoln Stein, Michael D. Taylor

Bibliographic record

VenueNeuro-Oncology · 2019
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCancer-related molecular mechanisms research
Canadian institutionsMcGill UniversityUniversity of CalgaryHospital for Sick ChildrenUniversity of TorontoOntario Institute for Cancer Research
Fundersnot available
KeywordsBiologyMedulloblastomaPopulationCerebellumLineage markersSingle-cell analysisCell sortingProgenitor cellStem cellGeneticsCellNeuroscience

Abstract

fetched live from OpenAlex

We isolated cells from various points in murine embryonic and early post-ntal cerebellar development (E10 to P14) and undertook single cell RNA sequencing to identify >30 transcriptionally distinct cell populations. Reconstruction of developmental lineages in the developing cerebellum through pseudotemporal analysis demonstrate that a progenitor cell population from the upper rhombic lip gives rise to both the external granule cell layer (EGL) and the previously under-studied unipolar brush cells (UBC). Unipolar brush cells are a glutamatergic interneuron most prevalent in the inferior and lateral cerebellum. Transcriptional matching of bulk human tumor RNA-seq data from human patients demonstrates subgroup specific transcriptional resemblances. As expected, Shh MBs resemble the developing EGL. Fascinatingly, only Shh tumors that transcriptionally mirror earlier, but not later EGL developmental time points were found to be metastatic in human patients. Group 3 tumors have a resemblance to early Nestin +ve stem cells across the entire subgroup, with additional similarities to the EGL, UBC, and GABAergic interneurons. Unexpectedly, Group 4 tumors were vastly most similar to UBCs, and on further analysis to a single known subset of UBCs (Calb2+ve UBCs). Single cell RNA-seq from human medulloblastomas (Shh, Group 3, and Group 4 MB) largely confirms the transcriptional similarities to murine cerebellar developmental lineages observed in the bulk RNA-seq data, but also demonstrates that most medulloblastomas have multiple distinct tumor cell clusters. Distinct single cell expression clusters from an individual MB demonstrate that there is a developmental lineage or hierarchy of cells with most tumors, that this hierarchy is likely hardwired from normal development, and that bulk tumor data in fact reflects a heterogeneous cell population. These data pinpoint possible cells of origin for medulloblastoma subgroups, illustrate a further layer of MB heterogeneity, and allow a comparison of normal and MB transcriptomes to further understand MB biology.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.002

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 head0.018
GPT teacher head0.270
Teacher spread0.252 · 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 designObservational
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

Citations1
Published2019
Admission routes1
Has abstractyes

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