{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["8(1)"],"submitter":["Zhang X"],"pubmed_abstract":["In mammalian oocytes, large-scale chromatin organization regulates transcription, nuclear architecture, and maintenance of chromosome stability in preparation for meiosis onset. Pre-ovulatory oocytes with distinct chromatin configurations exhibit profound differences in metabolic and transcriptional profiles that ultimately determine meiotic competence and developmental potential. Here, we developed a deep learning pipeline for the non-invasive prediction of chromatin structure and developmental potential in live mouse oocytes. Our Fluorescence prediction and Classification on Bright-field (Fluo-Cast-Bright) pipeline achieved 91.3% accuracy in the classification of chromatin state in fixed oocytes and 85.7% accuracy in live oocytes. Importantly, transcriptome analysis following non-invasiv"],"journal":["Communications biology"],"pagination":["141"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC11779945"],"repository":["biostudies-literature"],"pubmed_title":["Fluo-Cast-Bright: a deep learning pipeline for the non-invasive prediction of chromatin structure and developmental potential in live oocytes."],"pmcid":["PMC11779945"],"pubmed_authors":["Zhang X","Baumann C","De La Fuente R"],"additional_accession":[]},"is_claimable":false,"name":"Fluo-Cast-Bright: a deep learning pipeline for the non-invasive prediction of chromatin structure and developmental potential in live oocytes.","description":"In mammalian oocytes, large-scale chromatin organization regulates transcription, nuclear architecture, and maintenance of chromosome stability in preparation for meiosis onset. Pre-ovulatory oocytes with distinct chromatin configurations exhibit profound differences in metabolic and transcriptional profiles that ultimately determine meiotic competence and developmental potential. Here, we developed a deep learning pipeline for the non-invasive prediction of chromatin structure and developmental potential in live mouse oocytes. Our Fluorescence prediction and Classification on Bright-field (Fluo-Cast-Bright) pipeline achieved 91.3% accuracy in the classification of chromatin state in fixed oocytes and 85.7% accuracy in live oocytes. Importantly, transcriptome analysis following non-invasiv","dates":{"release":"2025-01-01T00:00:00Z","publication":"2025 Jan","modification":"2025-04-03T23:26:47.318Z","creation":"2025-04-03T23:26:47.318Z"},"accession":"S-EPMC11779945","cross_references":{"pubmed":["39880880"],"doi":["10.1038/s42003-025-07568-0"]}}