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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.
Afiliação
  • Chen A; BGI-Shenzhen, Shenzhen 518103, China; Department of Biology, University of Copenhagen, Copenhagen 2200, Denmark.
  • Liao S; BGI-Shenzhen, Shenzhen 518103, China.
  • Cheng M; BGI-Shenzhen, Shenzhen 518103, China; College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China.
  • Ma K; BGI-Shenzhen, Shenzhen 518103, China.
  • Wu L; BGI-Shenzhen, Shenzhen 518103, China; College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China; Shenzhen Key Laboratory of Single-Cell Omics, BGI-Shenzhen, Shenzhen 518120, China.
  • Lai Y; BGI-Shenzhen, Shenzhen 518103, China; Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou 510530, China.
  • Qiu X; Whitehead Institute for Biomedical Research, Cambridge, MA 02142, USA; Howard Hughes Medical Institute, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
  • Yang J; MGI, BGI-Shenzhen, Shenzhen 518083, China.
  • Xu J; BGI-Shenzhen, Shenzhen 518103, China; College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China.
  • Hao S; BGI-Shenzhen, Shenzhen 518103, China; College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China.
  • Wang X; BGI-Shenzhen, Shenzhen 518103, China.
  • Lu H; BGI-Shenzhen, Shenzhen 518103, China.
  • Chen X; BGI-Shenzhen, Shenzhen 518103, China.
  • Liu X; BGI-Shenzhen, Shenzhen 518103, China.
  • Huang X; BGI-Shenzhen, Shenzhen 518103, China; College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China.
  • Li Z; BGI-Shenzhen, Shenzhen 518103, China.
  • Hong Y; BGI-Shenzhen, Shenzhen 518103, China.
  • Jiang Y; BGI-Shenzhen, Shenzhen 518103, China; BGI College & Henan Institute of Medical and Pharmaceutical Sciences, Zhengzhou University, Zhengzhou 450000, China.
  • Peng J; BGI-Shenzhen, Shenzhen 518103, China.
  • Liu S; BGI-Shenzhen, Shenzhen 518103, China.
  • Shen M; BGI-Shenzhen, Shenzhen 518103, China.
  • Liu C; BGI-Shenzhen, Shenzhen 518103, China; Shenzhen Bay Laboratory, Shenzhen 518000, China.
  • Li Q; BGI-Shenzhen, Shenzhen 518103, China.
  • Yuan Y; BGI-Shenzhen, Shenzhen 518103, China.
  • Wei X; BGI-Shenzhen, Shenzhen 518103, China.
  • Zheng H; BGI-Shenzhen, Shenzhen 518103, China; BGI College & Henan Institute of Medical and Pharmaceutical Sciences, Zhengzhou University, Zhengzhou 450000, China.
  • Feng W; BGI-Shenzhen, Shenzhen 518103, China; College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China.
  • Wang Z; BGI-Shenzhen, Shenzhen 518103, China; Shenzhen Key Laboratory of Single-Cell Omics, BGI-Shenzhen, Shenzhen 518120, China.
  • Liu Y; BGI-Shenzhen, Shenzhen 518103, China.
  • Wang Z; BGI-Shenzhen, Shenzhen 518103, China.
  • Yang Y; BGI-Shenzhen, Shenzhen 518103, China; BGI College & Henan Institute of Medical and Pharmaceutical Sciences, Zhengzhou University, Zhengzhou 450000, China.
  • Xiang H; BGI-Shenzhen, Shenzhen 518103, China; College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China.
  • Han L; BGI-Shenzhen, Shenzhen 518103, China.
  • Qin B; Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou 510530, China.
  • Guo P; Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou 510530, China.
  • Lai G; Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou 510530, China.
  • Muñoz-Cánoves P; Department of Experimental and Health Sciences, Pompeu Fabra University (UPF), ICREA and CIBERNED, Barcelona 08003, Spain; Spanish National Center on Cardiovascular Research (CNIC), Madrid 28029, Spain.
  • Maxwell PH; Cambridge Institute for Medical Research, Department of Medicine, University of Cambridge, Cambridge CB2 0XY, UK.
  • Thiery JP; Guangzhou Laboratory, Guangzhou 510320, China.
  • Wu QF; State Key Laboratory of Molecular Development Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China.
  • Zhao F; BGI-Shenzhen, Shenzhen 518103, China.
  • Chen B; BGI-Shenzhen, Shenzhen 518103, China.
  • Li M; BGI-Shenzhen, Shenzhen 518103, China.
  • Dai X; BGI-Shenzhen, Shenzhen 518103, China; College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China.
  • Wang S; BGI-Shenzhen, Shenzhen 518103, China; College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China.
  • Kuang H; BGI-Shenzhen, Shenzhen 518103, China.
  • Hui J; BGI-Shenzhen, Shenzhen 518103, China.
  • Wang L; Department of Pathology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, China.
  • Fei JF; Department of Pathology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, China.
  • Wang O; BGI-Shenzhen, Shenzhen 518103, China.
Cell ; 185(10): 1777-1792.e21, 2022 05 12.
Article em En | MEDLINE | ID: mdl-35512705
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.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Organogênese / Transcriptoma Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Organogênese / Transcriptoma Idioma: En Ano de publicação: 2022 Tipo de documento: Article