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Record W2991556904 · doi:10.1071/rdv32n2ab79

79 MicroRNAs of extracellular vesicles secreted by embryos as an early biomarker of competence

2019· article· en· W2991556904 on OpenAlexaboutno aff
B. Melo-Báez, Yat Sen Wong, J. Cabezas, C. Aguilera, Fidel Ovídio Castro, L. Rodríguez-Álvarez

Bibliographic record

VenueReproduction Fertility and Development · 2019
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicExtracellular vesicles in disease
Canadian institutionsnot available
Fundersnot available
KeywordsBlastocystMicrovesiclesEmbryoNanoparticle tracking analysisCD63Cell biologyBiologyExtracellular vesicleEmbryonic stem cellEmbryogenesisExosomeAndrologymicroRNAGeneGenetics

Abstract

fetched live from OpenAlex

Extracellular vesicles (EVs), including exosomes and microvesicles, are secreted by different cell types and participate in cellular communication by carrying molecules as microRNAs (miRNAs) that can interfere with gene expression of target cells. Extracellular vesicles have become relevant as a mechanism of embryo-maternal communication. The aim of this study was to evaluate miRNA content in EVs secreted after embryonic genome activation, by bovine embryos with different developmental potential. Bovine embryos were produced in vitro and cultured in group until Day 3.5 in synthetic oviductal fluid (SOF) medium. Only 8-16-cell embryos were cultured individually in EVs-depleted SOF until Day 5. The SOF was EV depleted by ultrafiltration. Culture media (CM) were collected at Day 5 and embryos continued in culture until Day 7 with fresh SOF. Collected media were conserved individually and identified with the corresponding embryo. Then, CM were classified according to capacity of its embryo to reach blastocyst stage at Day 7: G1-CM (blocked embryos in 8-16 cell) and G2-CM (embryos that reach blastocyst stage). The EV isolation was carried out using the protocol described by Mellisho et al. (2017). Recovered EVs were evaluated by nanoparticle tracking analysis (NTA), Transmission electron microscopy and the presence of surface markers (CD9, CD63, CD81, and CD40L). After NTA, individual CM were pooled to organise 3 replicates of 10 CM each, for G1 and G2. The whole miRNA isolation, library preparation, and sequencing was performed by Norgen Biotek facilities (Canada). The quality of libraries was analysed using the FastQC program platform followed by Trimmomatic to remove remnant adapters. For the miRNA library it accepted reads with value above 30 Phreads and 22 to 30 bp length. The reads were mapped against the reference genome ARS-UCD1.2 using Bowtie2 software and miRDeep2 mapper, and the gene counts were calculated using HTSeq. Differential expression analysis was performed in EdgeR package. To expand this information, principal component analysis, Heatmap, and Volcano plot were plotted and pathway enrichment analysis was conducted. The NTA, transmission electron microscopy, and flow cytometry confirmed the presence of exosomes and microvesicles in isolated EVs. According to NTA, the mean size of EVs was 102.1-176.2 nm and concentration of 8.4 × 107-8.6 × 108 particles mL−1 in G1 and G2, respectively. We identified 96 miRNAs significantly expressed across the samples. Only eight miRNAs in EVs were differentially expressed between groups (G2 vs. G1). The bta-miR-103, bta-miR-502a, bta-miR-100, and bta-miR-1 were up-regulated (Log2 fold-change > 1), whereas bta-miR-92a, bta-miR-140, bta-miR-2285a, and bta-miR-222 were down-regulated (Log2 fold-change < 1). The more significant (P-value < 0.01) up-regulated Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways were fatty acid biosynthesis and metabolism, lysine degradation, gap junction, and signaling pathways regulating pluripotency of stem cells. The EVs secreted by embryos to culture environment carry miRNAs that can reflect the molecular state of their parental cell. This lets us suggest culture media derived-EVs and their miRNA cargo as early biomarkers to select more competent bovine embryos. This research was supported by FONDECYT, Chile (1170310).

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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 score0.184
Threshold uncertainty score0.597

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 head0.012
GPT teacher head0.239
Teacher spread0.227 · 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".

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Citations0
Published2019
Admission routes1
Has abstractyes

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