Spatiotemporal transcriptomic atlas of mouse organogenesis using DNA nanoball-patterned arrays.
Year: 2022
Type: article
Abstract: Spatially resolved transcriptomic technologies are promising tools to study complex biological processes such as mammalian embryogenesis. However, the imbalance between resolution, gene capture, and field of view of current methodologies precludes their systematic application to analyze relatively large and three-dimensional mid- and late-gestation embryos. Here, we combined DNA nanoball (DNB)-patterned arrays and in situ RNA capture to create spatial enhanced resolution omics-sequencing (Stereo-seq). We applied Stereo-seq to generate the mouse organogenesis spatiotemporal transcriptomic atlas (MOSTA), which maps with single-cell resolution and high sensitivity the kinetics and directionality of transcriptional variation during mouse organogenesis. We used this information to gain insight into the molecular basis of spatial cell heterogeneity and cell fate specification in developing tissues such as the dorsal midbrain. Our panoramic atlas will facilitate in-depth investigation of longstanding questions concerning normal and abnormal mammalian development.
Source: Apollo (University of Cambridge)
Authors: Chen, Ao, Liao, Sha, Cheng, Mengnan, Ma, Kailong, Wu, Liang, Lai, Yiwei, Qiu, Xiaojie, Yang, Jin, Xu, Jiangshan, Hao, Shijie, Wang, Xin, Lu, Huifang, Chen, Xi, Liu, Xing, Huang, Xin, Li, Zhao, Hong, Yan, Jiang, Yujia, Peng, Jian, Liu, Shuai, Shen, Mengzhe, Liu, Chuanyu, Li, Quanshui, Yuan, Yue, Wei, Xiaoyu, Zheng, Huiwen, Feng, Weimin, Wang, Zhifeng, Liu, Yang, Wang, Zhaohui, Yang, Yunzhi, Xiang, Haitao, Han, Lei, Qin, Baoming, Guo, Pengcheng, Lai, Guangyao, Muñoz-Cánoves, Pura, Maxwell, Patrick H, Thiery, Jean Paul, Wu, Qing-Feng, Zhao, Fuxiang, Chen, Bichao, Li, Mei, Dai, Xi, Wang, Shuai, Kuang, Haoyan, Hui, Junhou, Wang, Liqun, Fei, Ji-Feng, Wang, Ou, Wei, Xiaofeng, Lu, Haorong, Wang, Bo, Liu, Shiping, Gu, Ying, Ni, Ming, Zhang, Wenwei, Mu, Feng, Yin, Ye, Yang, Huanming, Lisby, Michael, Cornall, Richard J, Mulder, Jan, Uhlén, Mathias, Esteban, Miguel A, Li, Yuxiang, Liu, Longqi, Xu, Xun, Wang, Jian
Institutions: BGI Group (China), University of Copenhagen, Chinese Academy of Sciences, University of Chinese Academy of Sciences, BGI Research, Guangzhou Institutes of Biomedicine and Health, Howard Hughes Medical Institute, Whitehead Institute for Biomedical Research, Massachusetts Institute of Technology, MGI, Zhengzhou University, Shenzhen Bay Laboratory, Institució Catalana de Recerca i Estudis Avançats, Universitat Pompeu Fabra, Spanish National Centre for Cardiovascular Research, Biomedical Research Networking Center on Neurodegenerative Diseases, Guangzhou Regenerative Medicine and Health Guangdong Laboratory, Institute of Genetics and Developmental Biology, State Key Laboratory of Molecular Developmental Biology, China National GeneBank, BGI Genomics, University of Oxford, MRC Human Immunology Unit, Medical Research Council, Science for Life Laboratory, Karolinska Institutet, KTH Royal Institute of Technology
Language: English
Subfield: Molecular Biology
Domain: Life Sciences
Open Access status: green
OpenAlex ID: W3210155372