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Record W3119055739 · doi:10.1071/rdv33n2ab3

3 Modulation of glycolysis alters histone acetylation and gene expression in bovine blastocysts produced in vitro

2021· article· en· W3119055739 on OpenAlexaff
Aldcejam Martins da Fonseca, Erika Paulson, Daniel E. Goszczynski, Jéssica Ispada, Érika Cristina dos Santos, Camila Bruna de Lima, J. V. A. Silva, Pablo J. Ross, Marcella Pecora Milazzotto

Bibliographic record

VenueReproduction Fertility and Development · 2021
Typearticle
Languageen
FieldMedicine
TopicReproductive Biology and Fertility
Canadian institutionsUniversité LavalSNC-Lavalin (Canada)
Fundersnot available
KeywordsAcetylationHistoneGlycolysisBiologyGene expressionMolecular biologyChemistryAndrologyBiochemistryGeneMetabolismMedicine

Abstract

fetched live from OpenAlex

Changes in the dynamics of energy metabolism can affect the sophisticated molecular control of different cell types including embryonic stem cells (Zhang et al. 2018 Cell Metab. 27, 332-338; https://doi.org/10.1016/j.cmet.2018.01.008). In this study, we modulated pathways related to acetyl-CoA generation, the major donor for histone acetylation, and explored how this affects histone acetylation and the transcriptional profile of bovine blastocysts. Embryos were produced in vitro by conventional protocols. On Day 4 of culture (Fertilization = Day 0), embryos were randomly allocated into 3 experimental groups according to culture medium [synthetic oviductal fluid with amino acids (SOFaa) + 4% bovine serum albumin] supplementation: Control (no additional supplementation), sodium iodoacetate (IA; 2 µM; glycolysis inhibitor), and sodium dichloroacetate (DCA; 2 mM; acetyl-CoA conversion stimulator). Expanded blastocysts were collected on Day 7 and assessed for ATP levels (luminescence), mitochondrial activity (MitoTracker Red CMXRos; ThermoFisher Scientific), histone 3 lysine 9 and 27 acetylation (H3K9ac and H3K27ac; immunostaining) and transcriptional profiling by RNA sequencing (RNA-Seq) of isolated inner cell mass. Data were submitted to normality test and treatment groups were compared to control using t-test or Mann–Whitney test for non-parametric data (mean ± s.e.) considering P < 0.05. RNA-Seq data were analysed by DESEqn 2 and transcripts with Padj <0.05 were submitted to gene ontology by DAVID (https://david.ncifcrf.gov/). Mitochondrial activity was higher in DCA compared with Control (control: 53078 ± 2747 AU vs. DCA: 57520 ± 902 AU; P = 0.0034), which explains the higher ATP levels found in this group (control: 1.49 ± 0.65 µM vs. DCA: 41.56 ± 15.69 µM; P = 0.03). However, although mitochondrial activity was expectedly lower in IA compared to control (control: 53078 ± 2747 A.U. vs. DCA: 36249 ± 3200 A.U.; P = 0.0013), we did not observe a decrease in ATP levels (control: 1.49 ± 0.65 µM vs. IA: 3.23 ± 1.13 µM; P = 0.12). Confirming our hypothesis, modulation of acetyl-CoA generation affected histone acetylation, with levels of H3K9ac and H3K27ac being higher in DCA and lower in IA compared with Control (H3K9ac Control: 988.3 ± 22.82 AU, DCA: 1301 ± 32.28 AU, IA: 684 ± 23.7 AU; P < 0.0001 and H3K27ac Control: 502.5 ± 13.64 AU, DCA: 667.2 ± 12.19 AU, IA: 417.2 ± 12.03 AU; P < 0.0001). Finally, 905 genes were differentially expressed, 599 up- and 306 downregulated in DCA compared with Control. Another 675 genes were differentially expressed between control and IA, (385 up- and 290 downregulated in IA). Gene ontology indicated that, compared with control, the biological functions upregulated in DCA were related to developmental process and the downregulated functions were associated with metabolism regulation, indicating a role of metabolic pathways in the developmental competence of the embryo. IA, in contrast, had catabolic activity upregulated and nucleotide metabolism downregulated compared with control, supporting the depletion of metabolic activity and lower acetylation. Taken together, our results demonstrate that the modulation of energy metabolism affects the epigenetic status of bovine embryos with consequences for the transcriptional profile of pathways involved in embryo quality and viability.

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)0.001
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 score0.367
Threshold uncertainty score0.521

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 head0.025
GPT teacher head0.280
Teacher spread0.255 · 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
Published2021
Admission routes1
Has abstractyes

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