{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Wu Q"],"funding":["NICHD NIH HHS","NIDDK NIH HHS","National Institutes of Health","Institute of Human Development Child and Youth Health","National Institute of Diabetes and Digestive and Kidney Diseases Division of Diabetes Endocrinology and Metabolic Diseases","National Institute of General Medical Sciences","NIGMS NIH HHS"],"pagination":["100464"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC10794780"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["4(1)"],"pubmed_abstract":["Non-invasively evaluating gene expression products in human pre-implantation embryos remains a significant challenge. Here, we develop a non-invasive method for comprehensive characterization of the extracellular RNAs (exRNAs) in a single droplet of spent media that was used to culture human in vitro fertilization embryos. We generate the temporal extracellular transcriptome atlas (TETA) of human pre-implantation development. TETA consists of 245 exRNA sequencing datasets for five developmental stages. These data reveal approximately 4,000 exRNAs at each stage. The exRNAs of the developmentally arrested embryos are enriched with the genes involved in negative regulation of the cell cycle, revealing an exRNA signature of developmental arrest. Furthermore, a machine-learning model can approx"],"journal":["Cell genomics"],"pubmed_title":["A temporal extracellular transcriptome atlas of human pre-implantation development."],"pmcid":["PMC10794780"],"funding_grant_id":["R01GM138852","R01 HD107206","R01HD107206","DP1DK126138","R01 GM138852","DP1 DK126138"],"pubmed_authors":["Zhang W","Yeo A","Yan Z","Garzo G","Connel M","Zhong S","Wu Q","Su HI","Zhou Z"],"additional_accession":[]},"is_claimable":false,"name":"A temporal extracellular transcriptome atlas of human pre-implantation development.","description":"Non-invasively evaluating gene expression products in human pre-implantation embryos remains a significant challenge. Here, we develop a non-invasive method for comprehensive characterization of the extracellular RNAs (exRNAs) in a single droplet of spent media that was used to culture human in vitro fertilization embryos. We generate the temporal extracellular transcriptome atlas (TETA) of human pre-implantation development. TETA consists of 245 exRNA sequencing datasets for five developmental stages. These data reveal approximately 4,000 exRNAs at each stage. The exRNAs of the developmentally arrested embryos are enriched with the genes involved in negative regulation of the cell cycle, revealing an exRNA signature of developmental arrest. Furthermore, a machine-learning model can approx","dates":{"release":"2024-01-01T00:00:00Z","publication":"2024 Jan","modification":"2026-07-14T21:23:43.616Z","creation":"2025-04-04T21:57:30.883Z"},"accession":"S-EPMC10794780","cross_references":{"pubmed":["38216281"],"doi":["10.1016/j.xgen.2023.100464"]}}