| Literature DB >> 35512705 |
Ao Chen1, Sha Liao2, Mengnan Cheng3, Kailong Ma2, Liang Wu4, Yiwei Lai5, Xiaojie Qiu6, Jin Yang7, Jiangshan Xu3, Shijie Hao3, Xin Wang2, Huifang Lu2, Xi Chen2, Xing Liu2, Xin Huang3, Zhao Li2, Yan Hong2, Yujia Jiang8, Jian Peng2, Shuai Liu2, Mengzhe Shen2, Chuanyu Liu9, Quanshui Li2, Yue Yuan2, Xiaoyu Wei2, Huiwen Zheng8, Weimin Feng3, Zhifeng Wang10, Yang Liu2, Zhaohui Wang2, Yunzhi Yang8, Haitao Xiang3, Lei Han2, Baoming Qin11, Pengcheng Guo11, Guangyao Lai11, Pura Muñoz-Cánoves12, Patrick H Maxwell13, Jean Paul Thiery14, Qing-Feng Wu15, Fuxiang Zhao2, Bichao Chen2, Mei Li2, Xi Dai3, Shuai Wang3, Haoyan Kuang2, Junhou Hui2, Liqun Wang16, Ji-Feng Fei16, Ou Wang2, Xiaofeng Wei17, Haorong Lu17, Bo Wang17, Shiping Liu10, Ying Gu18, Ming Ni7, Wenwei Zhang19, Feng Mu7, Ye Yin20, Huanming Yang21, Michael Lisby22, Richard J Cornall23, Jan Mulder24, Mathias Uhlén24, Miguel A Esteban25, Yuxiang Li26, Longqi Liu27, Xun Xu28, Jian Wang29.
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.Entities:
Keywords: brain; cell atlas; cell differentiation; cell lineages; development; developmental diseases; mouse organogenesis; progenitors; single-cell; spatial transcriptomics
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Year: 2022 PMID: 35512705 DOI: 10.1016/j.cell.2022.04.003
Source DB: PubMed Journal: Cell ISSN: 0092-8674 Impact factor: 41.582