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Record W2615919113 · doi:10.2217/epi-2016-0184

DNA Methylation and Transcription Onset in the Brain

2017· article· en· W2615919113 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueEpigenomics · 2017
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicEpigenetics and DNA Methylation
Canadian institutionsUniversité de MontréalHôpital du Sacré-Cœur de MontréalMcGill University
FundersCanadian Institutes of Health Research
KeywordsMethylationDNA methylationTranscription (linguistics)BiologyMolecular biologyMethylated DNA immunoprecipitationDNABisulfite sequencingPromoterGeneticsGeneGene expression

Abstract

fetched live from OpenAlex

AIM: The goal of this study was to test the state of methylation of transcription start positions in DNA that are actively involved in transcription. MATERIALS & METHODS: We used sequential ChIP-bisulfite-sequencing with an antibody to RNpolII-PS5 to map the state of methylation of actively transcribing transcription start sites (TSS). RESULTS: TSS that RNApolII-PS5 physically bind to, are ubiquitously unmethylated. TSS that appear to be both heavily methylated and transcriptionally active are truly a mixture of unmethylated TSS with bound RNApolII-PS5 in some nuclei and unbound methylated TSS in other nuclei. CONCLUSION: TSS DNA methylation is universally inconsistent with transcription onset and could therefore serve as a digital count of the fraction of nuclei with methylation-silenced TSS.

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.

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)0.001
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 score0.723
Threshold uncertainty score0.249

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 integrity0.0000.000
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 head0.021
GPT teacher head0.282
Teacher spread0.261 · 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