MétaCan
Menu
Back to cohort
Record W1987751337 · doi:10.1186/1756-8935-6-s1-p105

Coordinated epigenetic regulation of Engrailed-1 by the chromatin remodelers Smarca1 and Smarca5 mediates cerebellar morphogenesis

2013· article· en· W1987751337 on OpenAlexafffund
Matías Alvarez-Saavedra, Pamela S. Lagali, Keqin Yan, Lukas E. Hashem, Alan J. Mears, Yves De Repentigny, Valerie A. Wallace, Rashmi Kothary, Tomáš Stopka, Arthur I. Skoultchi, David J. Picketts

Bibliographic record

VenueEpigenetics & Chromatin · 2013
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenomics and Chromatin Dynamics
Canadian institutionsOttawa HospitalUniversity of Ottawa
FundersCanadian Institutes of Health Research
KeywordsengrailedBiologyCerebellumHomeotic geneCell biologyHomeoboxChromatinNeuroscienceGeneticsTranscription factorGene

Abstract

fetched live from OpenAlex

Background Morphological patterning of the cerebellum requires precise changes in Engrailed homeotic gene expression yet the mechanisms controlling this process remain elusive. Here, we show that the Iswi chromatin remodeling proteins, Smarca5 and Smarca1, are required for the dynamic regulation of Engrailed-1 (En1). Conditional Smarca5-null mice display abnormal cerebellar foliation, ataxia-like symptoms and young mortality. Postnatal granule neuron progenitor expansion and Purkinje cell (PC) development are compromised and attributed to loss of En1 expression. Mutants survive to early adulthood via upregulation of Smarca1 and restoration of En1 expression in PCs, while ablation of both Iswi genes results in lethality at birth. During late cerebellar development, we observe co-binding of the Iswi proteins at the En1 locus and an altered H2AZ/ H3.3 chromatin profile that accompanies changes in En1 expression.

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 score0.001
Threshold uncertainty score0.004

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 integrity0.0000.000
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 head0.004
GPT teacher head0.188
Teacher spread0.184 · 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

Citations3
Published2013
Admission routes2
Has abstractyes

Explore more

Same venueEpigenetics & ChromatinSame topicGenomics and Chromatin DynamicsFrench-language works237,207