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Record W4413993652 · doi:10.1242/dev.204697

Chd4 remodels chromatin to control retinal cell type specification and lineage termination

2025· article· en· W4413993652 on OpenAlexafffund
Sujay Shah, Suma Medisetti, José Alex Lourenço Fernandes, Pierre Mattar

Bibliographic record

VenueDevelopment · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicRetinal Development and Disorders
Canadian institutionsOttawa HospitalUniversity of Ottawa
FundersCanada Foundation for InnovationCanadian Institutes of Health ResearchUniversity of Ottawa
KeywordsBiologyCell biologyChromatinProgenitor cellNucleosomeProgenitorCellular differentiationNeural stem cellNeural developmentGeneticsNeuroscienceStem cellDNAGene

Abstract

fetched live from OpenAlex

During development, neural progenitor cells modify their output over time to produce different types of neurons and glia in chronological sequences. Epigenetic processes have been shown to regulate neural progenitor potential, but the underlying mechanisms are not well understood. Here, we generated retina-specific conditional mouse knockouts (cKOs) in the key nucleosome remodeller Chd4. Chd4 cKOs overproduced early-born retinal ganglion and amacrine cells. Postnatally, later-born rod photoreceptors were drastically underproduced. Progenitors failed to differentiate into Müller glia on schedule and continued to proliferate beyond their normal developmental window. Next, to determine how Chd4 regulates the genome, we performed CUT&RUN-seq and ATAC-seq, revealing that genome accessibility was significantly increased at ∼10,000 regulatory elements. Accordingly, multiplexed single-cell transcriptomics demonstrated that deletion of Chd4 led to corresponding increases in transcription. These results suggest that Chd4 restricts the genome to repress progenitor identity and promote differentiation. Taken together, our data suggest that Chd4-dependent nucleosome remodelling plays a crucial role in the temporal transition that governs lineage termination, but does not regulate earlier temporal transitions.

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 score0.430
Threshold uncertainty score0.431

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 studies0.0000.000
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 head0.005
GPT teacher head0.233
Teacher spread0.228 · 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

Citations7
Published2025
Admission routes2
Has abstractyes

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