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Spatiotemporal transcriptomic atlas of mouse organogenesis using DNA nanoball-patterned arrays

  • Ao Chen
  • , Sha Liao
  • , Mengnan Cheng
  • , Kailong Ma
  • , Liang Wu
  • , Yiwei Lai
  • , Xiaojie Qiu
  • , Jin Yang
  • , Jiangshan Xu
  • , Shijie Hao
  • , Xin Wang
  • , Huifang Lu
  • , Xi Chen
  • , Xing Liu
  • , Xin Huang
  • , Zhao Li
  • , Yan Hong
  • , Yujia Jiang
  • , Jian Peng
  • , Shuai Liu
  • Mengzhe Shen, Chuanyu Liu, Quanshui Li, Yue Yuan, Xiaoyu Wei, Huiwen Zheng, Weimin Feng, Zhifeng Wang, Yang Liu, Zhaohui Wang, Yunzhi Yang, Haitao Xiang, Lei Han, Baoming Qin, Pengcheng Guo, Guangyao Lai, Pura Muñoz-Cánoves, Patrick H. Maxwell, Jean Paul Thiery, Qing Feng Wu, Fuxiang Zhao, Bichao Chen, Mei Li, Xi Dai, Shuai Wang, Haoyan Kuang, Junhou Hui, Liqun Wang, Ji Feng Fei, Ou Wang, Xiaofeng Wei, Haorong Lu, Bo Wang, Shiping Liu, Ying Gu, Ming Ni, Wenwei Zhang, Feng Mu, Ye Yin, Huanming Yang, Michael Lisby, Richard J. Cornall, Jan Mulder, Mathias Uhlén, Miguel A. Esteban, Yuxiang Li, Longqi Liu, Xun Xu, Jian Wang
  • BGI-Shenzhen
  • University of Copenhagen
  • University of Chinese Academy of Sciences
  • CAS - Guangzhou Institute of Biomedicine and Health
  • Whitehead Institute
  • Massachusetts Institute of Technology
  • Zhengzhou University
  • Shenzhen Bay Laboratory
  • ICREA
  • Spanish National Center on Cardiovascular Research (CNIC)
  • University of Cambridge
  • Guangzhou Laboratory
  • CAS - Institute of Genetics and Developmental Biology
  • Guangdong Academy of Medical Sciences
  • Guangdong Provincial Key Laboratory of Genome Read and Write
  • Zhejiang University
  • University of Oxford
  • KTH Royal Institute of Technology
  • Karolinska Institutet
  • Chinese Academy of Sciences

Research output: Contribution to journalArticlepeer-review

1120 Scopus citations

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.

Original languageEnglish
Pages (from-to)1777-1792.e21
JournalCell
Volume185
Issue number10
DOIs
StatePublished - 12 May 2022
Externally publishedYes

Keywords

  • brain
  • cell atlas
  • cell differentiation
  • cell lineages
  • development
  • developmental diseases
  • mouse organogenesis
  • progenitors
  • single-cell
  • spatial transcriptomics

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