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Record W4379598232 · doi:10.1242/dev.201606

DNA methylation dynamic in male rat germ cells during gametogenesis

2023· article· en· W4379598232 on OpenAlexafffund
Rhizlane El Omri-Charai, Isabelle Gilbert, Julien Prunier, Rebecka Desmarais, Mariana Gabriela Ghinet, Claude Robert, Guylain Boissonneault, Géraldine Delbès

Bibliographic record

VenueDevelopment · 2023
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicEpigenetics and DNA Methylation
Canadian institutionsUniversité de SherbrookeCentre hospitalier universitaire de QuébecUniversité LavalInstitut National de la Recherche Scientifique
FundersDivision of Materials ResearchFonds de recherche du Québec – Nature et technologiesAlliance de recherche numérique du CanadaPerelman School of Medicine, University of PennsylvaniaUniversity of Pennsylvania
KeywordsBiologyEpigenomeReprogrammingEpigeneticsDNA methylationGermlineGerm cellGametogenesisSpermatogenesisGeneticsChromatinGameteEpigenomicsReproductive technologyCell biologyEmbryoSpermDNAGeneEmbryogenesisGene expressionEndocrinology

Abstract

fetched live from OpenAlex

In mammals, a near complete resetting of DNA methylation (DNAme) is observed during germline establishment. This wave of epigenetic reprogramming is sensitive to the environment, which could impair the establishment of an optimal state of the gamete epigenome, hence proper embryo development. Yet, we lack a comprehensive understanding of DNAme dynamics during spermatogenesis, especially in rats, the model of choice for toxicological studies. Using a combination of cell sorting and DNA methyl-seq capture, we generated a stage-specific mapping of DNAme in nine populations of differentiating germ cells from perinatal life to spermiogenesis. DNAme was found to reach its lowest level at gestational day 18, the last demethylated coding regions being associated with negative regulation of cell movement. The following de novo DNAme displayed three different kinetics with common and distinct genomic enrichments, suggesting a non-random process. DNAme variations were also detected at key steps of chromatin remodeling during spermiogenesis, revealing potential sensitivity. These methylome datasets for coding sequences during normal spermatogenesis in rat provide an essential reference for studying epigenetic-related effects of disease or environmental factors on the male germline.

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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.162
Threshold uncertainty score0.499

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 head0.010
GPT teacher head0.250
Teacher spread0.240 · 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

Citations17
Published2023
Admission routes2
Has abstractyes

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