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The Signature of Maternal Rearing in the Methylome in Rhesus Macaque Prefrontal Cortex and T Cells

2012· article· en· W2092363037 on OpenAlexafffund
Nadine Provençal, Matthew Suderman, Claire Guillemin, Renaud Massart, Angela Ruggiero, Dongsha Wang, Allyson J. Bennett, Philippe Pierre, David P. Friedman, Sylvana M. Côté, Michael Hallett, Richard E. Tremblay, Stephen J. Suomi, Moshe Szyf

Bibliographic record

VenueJournal of Neuroscience · 2012
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicEpigenetics and DNA Methylation
Canadian institutionsUniversité de MontréalMcGill UniversityResearch Unit on Children's Psychosocial Maladjustment
FundersCanadian Institutes of Health ResearchNHLBI Division of Intramural ResearchNational Institutes of HealthMcGill UniversityCanadian Institute for Advanced Research
KeywordsEpigeneticsDNA methylationPrefrontal cortexMacaqueRhesus macaquePsychologyBiologyMethylationNeuroscienceGeneGeneticsGene expressionCognition

Abstract

fetched live from OpenAlex

Early-life adversity is associated with a broad scope of life-long health and behavioral disorders. Particularly critical is the role of the mother. A possible mechanism is that these effects are mediated by "epigenetic" mechanisms. Studies in rodents suggest a causal relationship between early-life adversity and changes in DNA methylation in several "candidate genes" in the brain. This study examines whether randomized differential rearing (maternal vs surrogate-peer rearing) of rhesus macaques is associated with differential methylation in early adulthood. The data presented here show that differential rearing leads to differential DNA methylation in both prefrontal cortex and T cells. These differentially methylated promoters tend to cluster by both chromosomal region and gene function. The broad impact of maternal rearing on DNA methylation in both the brain and T cells supports the hypothesis that the response to early-life adversity is system-wide and genome-wide and persists to adulthood. Our data also point to the feasibility of studying the impact of the social environment in peripheral T-cell DNA methylation.

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)0.001
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 score0.594
Threshold uncertainty score0.108

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 head0.013
GPT teacher head0.265
Teacher spread0.252 · 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

Citations312
Published2012
Admission routes2
Has abstractyes

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