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

Ao Chen, Sha Liao, Mengnan Cheng, Kailong Ma, Liang Li Wu, Yiwei Lai, Xiaojie Qiu, Jin Yang, Jiangshan Xu, Shijie Hao, Xin Wang, Huifang Lü, Xi Xian Chen, Xing Liu, Xin Huang, Li Zhao, Hong Yan, Yujia Jiang, Jian Peng, Shuai Liu, Mengzhe Shen, Chuanyu Liu, Quanshui Li, Yue Yuan, Xiaoyu Wei, and 44 more

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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.

Abstract of "Spatiotemporal transcriptomic atlas of mouse organogenesis using DNA nanoball-patterned arrays" by Ao Chen, Sha Liao, Mengnan Cheng et al., https://doi.org/10.1016/j.cell.2022.04.003, used under its Creative Commons Attribution license (CC-BY); markup removed, otherwise unmodified.

Record

Archive ID
doi:10.1016/j.cell.2022.04.003
Published
May 1, 2022
Venue
Cell
DOI
10.1016/j.cell.2022.04.003
PubMed
35512705
Categories
Single-cell and spatial transcriptomics
License
cc-by
Provenance
openalex

Topics