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Record W3167648680 · doi:10.1016/j.xpro.2021.100602

ChIP-seq protocol for sperm cells and embryos to assess environmental impacts and epigenetic inheritance

2021· article· en· W3167648680 on OpenAlexafffund
Ariane Lismer, Romain Lambrot, Christine Lafleur, Vanessa Dumeaux, Sarah Kimmins

Bibliographic record

VenueSTAR Protocols · 2021
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicEpigenetics and DNA Methylation
Canadian institutionsConcordia UniversityMcGill University
FundersCanadian Institutes of Health Research
KeywordsChromatinEpigeneticsSpermBiologyEmbryoInheritance (genetic algorithm)Computational biologyGeneticsGene

Abstract

fetched live from OpenAlex

In the field of epigenetic inheritance, delineating molecular mechanisms implicated in the transfer of paternal environmental conditions to descendants has been elusive. This protocol details how to track sperm chromatin intergenerationally. We describe mouse model design to probe chromatin states in single mouse sperm and techniques to assess pre-implantation embryo chromatin and gene expression. We place emphasis on how to obtain high-quality and quantifiable data sets in sperm and embryos, as well as highlight the limitations of working with low input. For complete details on the use and execution of this protocol, please refer to Lismer et al. (2021).

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)0.002
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Protocol · Consensus signal: none
Teacher disagreement score0.040
Threshold uncertainty score0.133

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0020.003
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0020.002
Science and technology studies0.0030.001
Scholarly communication0.0020.001
Open science0.0030.002
Research integrity0.0020.006
Insufficient payload (model declined to judge)0.0400.037

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 head0.038
GPT teacher head0.343
Teacher spread0.305 · 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 designNot applicable
Domainnot available
GenreProtocol

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

Citations15
Published2021
Admission routes2
Has abstractyes

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