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Record W2130673418 · doi:10.1186/1756-8935-6-s1-p76

Profiling the impact of the embryonic microenvironment through global transcriptomic and DNA methylome surveying

2013· article· en· W2130673418 on OpenAlex
Habib A. Shojaei Saadi, Dominic Gagné, Éric Fournier, Isabelle Laflamme, Marc‐André Sirard, Claude Robert

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueEpigenetics & Chromatin · 2013
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicEpigenetics and DNA Methylation
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsBiologyDNA methylationTranscriptomeProfiling (computer programming)Computational biologyHuman geneticsEpigeneticsDNAGeneticsEmbryonic stem cellEvolutionary biologyGeneComputer scienceGene expression

Abstract

fetched live from OpenAlex

Transcriptomicanalyses have been conducted to study how mammalian early embryos cope with their immediate microenvironments especially when stressed from the application of assisted reproductive technologies, maternal nutrition or any other induced external factors. To study potential long term impacts from these stresses, description of early embryo epigenome is necessary. DNA methylation profiling of mammalian early embryo presents important challenges as they are rare biological material. Very recently, a genome-scale, base-resolution timeline of DNA methylation has been characterized for mouse embryo[1], however, such information has not been reported for treated embryos or for other species. We focus on bovine embryonic development since it follows a similar kinetic and developmental success rate as human. Using our transcriptomic platform[2] studies revealed that several key pathways seems to react when embryos are submitted to stress but it was also observed that long non-coding RNAs (IncRNAs) represent the class of RNA that are the most influenced by the embryonic environment further supporting the involvement of epigenetic mechanisms in the embryonic response. Commercial platform specific to the study of the bovine methylome do not exist yet. We therefore set to develop one with the constraints of enabling to survey the general topology of the genomic methylome using the limited amount of starting material offered by early embryos and also to provide a cost effective platform with a complete data analysis pipeline. We report the development of the Bovine Embryonic Global Methylome platform (BEGMP) which allows global DNA methylation from as little as 7-8 ng of gDNA starting material (representing 10 expanded blastocysts). Samples are processed through a modified HpaII Tiny Fragments (HTFs) enrichment by ligation-mediated PCR (HELP) assay. Initial surveying of the methylome found in Day-7 and Day-12 bovine embryos suggests a transition during development of methylation marks in repeat containing elements in a class-specific manner showing the potential of the platform to describe the ontology of the establishment of methylation marks during early embryogenesis. The platform was also used to study the impact of embryonic culture conditions where both the transcriptome and the methylome were surveyed from the same samples. Treatment of in vitro cultured embryos in presence of the methtyl donor S-adenosyl methionin showed that in addition to protein coding genes, IncRNAs were also impacted by the treatment. At the DNA methylation level, it showed global hypermethylation in treated embryos and parallel analysis revealed some similar function and network between early embryo transcriptome and methylome. Overall, BEGMP is the first developed and functional methylome platform for non-model spices which allows to survey the transcriptome and methylome from very restricted samples.

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.

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 score0.377
Threshold uncertainty score0.550

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 head0.011
GPT teacher head0.264
Teacher spread0.253 · 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