4.8 Article

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

期刊

CELL
卷 185, 期 10, 页码 1777-+

出版社

CELL PRESS
DOI: 10.1016/j.cell.2022.04.003

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资金

  1. Top Ten Foundamental Research Institutes of Shenzhen
  2. Shenzhen Key Laboratory of Single-Cell Omics [ZDSYS20190902093613831]
  3. Guangdong Provincial Key Laboratory of Genome Read and Write [2017B030301011]
  4. National Natural Science Foundation of China [31900466, 92068106]
  5. Guangzhou Institutes of Biomedicine and Health by the Strategic Priority Research Program of the Chinese Academy of Sciences [XDA16030502]
  6. Guangdong Basic and Applied Basic Research Foundation [2021B1515120075]

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Spatially resolved transcriptomic technologies enable us to study complex biological processes such as mammalian embryogenesis. However, current methods have limitations in resolution, gene capture, and field of view, which hinders their systematic application to large and three-dimensional mid- and late-gestation embryos. In this study, we developed Stereo-seq, a spatially enhanced resolution omics-sequencing method, by combining DNA nanoball-patterned arrays and in situ RNA capture. We used Stereo-seq to generate the mouse organogenesis spatiotemporal transcriptomic atlas, MOSTA, which provides single cell resolution and high sensitivity for mapping the kinetics and directionality of transcriptional variation during mouse organogenesis. By utilizing this atlas, we investigated the molecular basis of spatial cell heterogeneity and cell fate specification in developing tissues like the dorsal midbrain. Our panoramic atlas will facilitate in-depth research into long-standing questions about normal and abnormal mammalian development.
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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