2022
DOI: 10.1016/j.isci.2022.103904
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Mining RNAseq data reveals dynamic metaboloepigenetic profiles in human, mouse and bovine pre-implantation embryos

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Cited by 9 publications
(5 citation statements)
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“…The pyruvate metabolism occupies a central position in the blastocyst energy generation as it connects two of the most important pathways in this stage, the glycolytic pathway, and the TCA cycle. Also, TCA cycle was recently described as an important regulator of the embryonic epigenome 33 . In this work, we address the consequences of manipulating the pyruvate metabolism during the embryo development and propose a comprehensive profiling of embryonic metabolic, epigenetic, and molecular adaptation to these alterations.…”
Section: Discussionmentioning
confidence: 99%
“…The pyruvate metabolism occupies a central position in the blastocyst energy generation as it connects two of the most important pathways in this stage, the glycolytic pathway, and the TCA cycle. Also, TCA cycle was recently described as an important regulator of the embryonic epigenome 33 . In this work, we address the consequences of manipulating the pyruvate metabolism during the embryo development and propose a comprehensive profiling of embryonic metabolic, epigenetic, and molecular adaptation to these alterations.…”
Section: Discussionmentioning
confidence: 99%
“…In addition to the methods described above, pre-implantation bovine embryos have been studied using a variety of other tools too (Table 10). Ribosome profile High-resolution ribosome fractionation, polysome profiling, RNA-seq [198] DNA methylation landscape Anti-5-methylcytosine (5-MeC) antibody, methylation-sensitive high-resolution melting analysis (MS-HRM), bisulfite sequencing [75,[242][243][244][245][246][247][248] mRNA localization In situ hybridization [63,80,249,250] Chromosomal abnormalities 5% Giemsa staining (1250× magnification) [251] Automation/artificial intelligence (AI)-based microscopy Use of genetic algorithms, artificial neural networks, automatic feature extraction from images and supervised learning to formulate AI-based computer-assisted scoring systems (CASS)/predictive models [1,[252][253][254][255][256] Gene knockdown Cytosine base editing, CRISPR/Cas-9 gene editing, siRNA-mediated gene knockdown [79,182,196,197,257] Characterization of extracellular vesicles Nanoparticle tracking analysis, electron microscopy, small RNA sequencing [258][259][260] Multi-omics approaches Integrating transcriptomic and epigenetic data and integrating metabolomics and epigenetic data [261,262]…”
Section: Less Commonly Used Toolsmentioning
confidence: 99%
“…Although the preferred metabolic pathways to produce energy are variable between species (Milazzotto et al 2022b), one thing is clear: embryos are dynamic and present high ability to adjust their metabolism to the environment surrounding them. The concept of embryo plasticity has been vastly explored, and modifications in temperature, osmolality, composition, and pH of the culture media have been extensively investigated (Coticchio et al 2021).…”
Section: F17mentioning
confidence: 99%
“…As a result, basic knowledge is limited, but we know that early mammalian gametes and embryos present a very peculiar metabolism in comparison with somatic/ differentiated cells. In different species, metabolic requirements vary according to the developmental stage of the embryo, particularly during first cleavages and up to the blastocyst stage (Krisher et al 2015, Milazzotto et al 2022b. During this peri-implantation stage, there is a remarkable shift in the way cells utilize metabolites to produce the energy and the substrates that will be used for cell division, growth, and differentiation.…”
Section: Introductionmentioning
confidence: 99%