Spatiotemporal transcriptomic atlas of mouse organogenesis using DNA nanoball-patterned arrays
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Spatiotemporal transcriptomic atlas of mouse organogenesis using DNA nanoball-patterned arrays. / 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.
In: Cell, Vol. 185, No. 10, 2022, p. 1777-1792.e21.Research output: Contribution to journal › Journal article › Research › peer-review
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TY - JOUR
T1 - Spatiotemporal transcriptomic atlas of mouse organogenesis using DNA nanoball-patterned arrays
AU - Chen, Ao
AU - Liao, Sha
AU - Cheng, Mengnan
AU - Ma, Kailong
AU - Wu, Liang
AU - Lai, Yiwei
AU - Qiu, Xiaojie
AU - Yang, Jin
AU - Xu, Jiangshan
AU - Hao, Shijie
AU - Wang, Xin
AU - Lu, Huifang
AU - Chen, Xi
AU - Liu, Xing
AU - Huang, Xin
AU - Li, Zhao
AU - Hong, Yan
AU - Jiang, Yujia
AU - Peng, Jian
AU - Liu, Shuai
AU - Shen, Mengzhe
AU - Liu, Chuanyu
AU - Li, Quanshui
AU - Yuan, Yue
AU - Wei, Xiaoyu
AU - Zheng, Huiwen
AU - Feng, Weimin
AU - Wang, Zhifeng
AU - Liu, Yang
AU - Wang, Zhaohui
AU - Yang, Yunzhi
AU - Xiang, Haitao
AU - Han, Lei
AU - Qin, Baoming
AU - Guo, Pengcheng
AU - Lai, Guangyao
AU - Muñoz-Cánoves, Pura
AU - Maxwell, Patrick H
AU - Thiery, Jean Paul
AU - Wu, Qing-Feng
AU - Zhao, Fuxiang
AU - Chen, Bichao
AU - Li, Mei
AU - Dai, Xi
AU - Wang, Shuai
AU - Kuang, Haoyan
AU - Hui, Junhou
AU - Wang, Liqun
AU - Fei, Ji-Feng
AU - Wang, Ou
AU - Wei, Xiaofeng
AU - Lu, Haorong
AU - Wang, Bo
AU - Liu, Shiping
AU - Gu, Ying
AU - Ni, Ming
AU - Zhang, Wenwei
AU - Mu, Feng
AU - Yin, Ye
AU - Yang, Huanming
AU - Lisby, Michael
AU - Cornall, Richard J
AU - Mulder, Jan
AU - Uhlén, Mathias
AU - Esteban, Miguel A.
AU - Li, Yuxiang
AU - Liu, Longqi
AU - Xu, Xun
AU - Wang, Jian
N1 - Copyright © 2022 The Author(s). Published by Elsevier Inc. All rights reserved.
PY - 2022
Y1 - 2022
N2 - 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.
AB - 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.
KW - Animals
KW - DNA/genetics
KW - Embryo, Mammalian
KW - Female
KW - Gene Expression Profiling/methods
KW - Mammals/genetics
KW - Mice
KW - Organogenesis/genetics
KW - Pregnancy
KW - Sequence Analysis, RNA/methods
KW - Single-Cell Analysis/methods
KW - Transcriptome/genetics
U2 - 10.1016/j.cell.2022.04.003
DO - 10.1016/j.cell.2022.04.003
M3 - Journal article
C2 - 35512705
VL - 185
SP - 1777-1792.e21
JO - Cell
JF - Cell
SN - 0092-8674
IS - 10
ER -
ID: 310380245