دورية أكاديمية

A temporal extracellular transcriptome atlas of human pre-implantation development

التفاصيل البيبلوغرافية
العنوان: A temporal extracellular transcriptome atlas of human pre-implantation development
المؤلفون: Qiuyang Wu, Zixu Zhou, Zhangming Yan, Megan Connel, Gabriel Garzo, Analisa Yeo, Wei Zhang, H. Irene Su, Sheng Zhong
المصدر: Cell Genomics, Vol 4, Iss 1, Pp 100464- (2024)
بيانات النشر: Elsevier, 2024.
سنة النشر: 2024
المجموعة: LCC:Genetics
LCC:Internal medicine
مصطلحات موضوعية: IVF, embryo, embryo quality, extracellular RNA, non-invasive, sequencing, Genetics, QH426-470, Internal medicine, RC31-1245
الوصف: Summary: 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 approximate the morphology-based rating of embryo quality based on the exRNA levels. These data reveal the widespread presence of coding gene-derived exRNAs at every stage of human pre-implantation development, and these exRNAs provide rich information on the physiology of the embryo.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 2666-979X
Relation: http://www.sciencedirect.com/science/article/pii/S2666979X23003087; https://doaj.org/toc/2666-979X
DOI: 10.1016/j.xgen.2023.100464
URL الوصول: https://doaj.org/article/f7670820d6504acd8e55c86903eccb7d
رقم الأكسشن: edsdoj.f7670820d6504acd8e55c86903eccb7d
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:2666979X
DOI:10.1016/j.xgen.2023.100464