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Metabolic Regulation of the Epigenome Drives Lethal Infantile Ependymoma
Kulandaimanuvel Antony Michealraj, Sachin Kumar, Leo J.Y. Kim, Florence M.G. Cavalli, David Przelicki, John Wojcik, Alberto Delaidelli, Andrea Bajic, Olivier Saulnier, Graham MacLeod, Ravi N. Vellanki, Maria Vladoiu, Paul Guilhamon, Winnie Ong, John J. Y. Lee, Yanqing Jiang, Borja Holgado, Alex Rasnitsyn, Ahmad Malik, Ricky Tsai, Cory M. Richman, Kyle Juraschka, Joonas Haapasalo, Evan Y. Wang, Pasqualino De Antonellis, Hiromichi Suzuki, Hamza Farooq, Polina Balin, Kaitlin Kharas, Randy Van Ommeren, Olga Sirbu, Avesta Rastan, Stacey Krumholtz, Michelle Ly, Moloud Ahmadi, Geneviève Deblois, Dilakshan Srikanthan, Betty Luu, James Loukides, Xiaochong Wu, Livia Garzia, Vijay Ramaswamy, Evgeny Kanshin, María Sánchez‐Osuna, Ibrahim El-Hamamy, Fiona J. Coutinho, Panagiotis Prinos, Sheila K. Singh, Laura Donovan, Craig Daniels, Daniel Schramek, Mike Tyers, Samuel Weiss, Lincoln Stein, Mathieu Lupien, Bradly G. Wouters, Benjamin A. Garcia, C.H. Arrowsmith, Poul H. Sorensen, Stéphane Angers, Nada Jabado, Peter B. Dirks, Stephen C. Mack, Sameer Agnihotri, Jeremy N. Rich, Michael D. Taylor
Bibliographic record
VenueCell · 2020
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicEpigenetics and DNA Methylation
Canadian institutionsMcMaster UniversityStructural Genomics ConsortiumOntario Institute for Cancer ResearchHospital for Sick ChildrenUniversité de MontréalMcGill UniversityMcGill University Health CentreUniversity of CalgaryLunenfeld-Tanenbaum Research InstituteMount Sinai HospitalPrincess Margaret Cancer CentreUniversity of TorontoUniversity Health NetworkInstitute for Research in Immunology and CancerUniversity of British Columbia
FundersNational Cancer InstituteCanadian Cancer Society Research InstituteNational Institutes of HealthBrain Tumour ResearchCanadian Institutes of Health ResearchTerry Fox Research InstituteBrain Tumour CharityEshelman Institute for Innovation, University of North Carolina at Chapel HillHospital for Sick ChildrenGenome British ColumbiaOntario Genomics InstituteGovernment of CanadaJanssen PharmaceuticalsCanadian Cancer SocietyBear Necessities Pediatric Cancer FoundationNational Institute of Neurological Disorders and StrokeStand Up To Cancer CanadaGovernment of OntarioBaylor College of MedicineOntario Research FoundationWorldwide Cancer ResearchMitacsOntario Institute for Cancer ResearchCancer Research UKWellcome TrustMerck KGaAGenome CanadaTakeda Pharmaceuticals U.S.A.Meso Scale DiagnosticsV Foundation for Cancer ResearchPfizerInnovative Medicines InitiativePediatric Brain Tumor FoundationNovartisUniversity of TorontoAlex's Lemonade Stand Foundation for Childhood CancerStand Up To CancerEntertainment Industry FoundationBoehringer IngelheimAmerican Association for Cancer ResearchChildren's Brain Tumor FoundationSwifty FoundationChildren's Cancer Research FundCancer Prevention and Research Institute of Texas
KeywordsBiologyEpigenomeEpendymomaMedulloblastomaEpigeneticsHistoneCancer researchAcetylationHistone H3Cell biologyDNA methylationGeneticsPathology
Abstract
No abstract in any covered source. Its absence is recorded, not treated as a negative.
No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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 score0.087
Threshold uncertainty score0.219
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 head0.010
GPT teacher head0.220
Teacher spread0.210 · how far apart the two teachers sit on this one work
Validation status
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine 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
Citations140
Published2020
Admission routes2
Has abstractno