生物
计算生物学
模式生物
原肠化
器官发生
外代谢
胚胎
细胞生物学
基因组学
基因
胚胎发生
遗传学
基因组
作者
Mai-Linh Ton,Daniel Keitley,Bart Theeuwes,Carolina Guibentif,Jonas Ahnfelt-Rønne,Troels T. Andreassen,Fernando J. Calero‐Nieto,Iván Imaz-Rosshandler,Blanca Pijuan-Sala,Jennifer Nichols,Inna Dubchak,John C. Marioni,Berthold Göttgens
标识
DOI:10.1038/s41556-023-01174-0
摘要
Traditionally, the mouse has been the favoured vertebrate model for biomedical research, due to its experimental and genetic tractability. However, non-rodent embryological studies highlight that many aspects of early mouse development, such as its egg-cylinder gastrulation and method of implantation, diverge from other mammals, thus complicating inferences about human development. Like the human embryo, rabbits develop as a flat-bilaminar disc. Here we constructed a morphological and molecular atlas of rabbit development. We report transcriptional and chromatin accessibility profiles for over 180,000 single cells and high-resolution histology sections from embryos spanning gastrulation, implantation, amniogenesis and early organogenesis. Using a neighbourhood comparison pipeline, we compare the transcriptional landscape of rabbit and mouse at the scale of the entire organism. We characterize the gene regulatory programmes underlying trophoblast differentiation and identify signalling interactions involving the yolk sac mesothelium during haematopoiesis. We demonstrate how the combination of both rabbit and mouse atlases can be leveraged to extract new biological insights from sparse macaque and human data. The datasets and computational pipelines reported here set a framework for a broader cross-species approach to decipher early mammalian development, and are readily adaptable to deploy single-cell comparative genomics more broadly across biomedical research. Ton, Keitley et al. provide a morphological and molecular atlas of rabbit development. Comparative studies reveal that combining rabbit and mouse atlases can serve as a model for dissecting early primate development.
科研通智能强力驱动
Strongly Powered by AbleSci AI