Large field of view-spatially resolved transcriptomics at nanoscale resolution

Chen, A.; Liao, S.; cheng, M.; Ma, K.; Wu, L.; Lai, Y.; Yang, J.; Li, W.; Xu, J.; Hao, S.; Chen, X.; Liu, X.; Huang, X.; Lin, F.; Tang, X.; Li, Z.; Hong, Y.; Fu, D.; Jiang, Y.; Peng, J.; Liu, S.; Shen, M.; Liu, C.; Li, Q.; Wang, Z.; Yuan, Y.; Volpe, G.; Ward, C.; Munoz-Canoves, P.; Thiery, J. P.; Zhao, F.; Li, M.; Kuang, H.; Wang, O.; Lu, H.; Wang, B.; Ni, M.; Zhang, W.; Mu, F.; Yin, Y.; Yang, H.; Lisby, M.; Cornall, R. J.; Uhlen, M.; Esteban, M. A.; Li, Y.; Liu, L.; Wang, J.; Xu, X.

doi:10.1101/2021.01.17.427004

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bioRxiv · 10.1101/2021.01.17.427004

Large field of view-spatially resolved transcriptomics at nanoscale resolution

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Abstract

Spatially resolved transcriptomic technologies are promising tools to study cell fate decisions in a physical microenvironment, which is fundamental for enhancing our knowledge of mammalian development. However, the imbalance between resolution, transcript capture and field of view of current methodologies precludes their systematic application to analyze relatively large and three-dimensional mid- and late-gestation mammalian embryos. Here, we combined DNA nanoball (DNB) patterned arrays and tissue RNA capture to create SpaTial Enhanced REsolution Omics-sequencing (Stereo-seq). This approach allows transcriptomic profiling of large histological sections with high resolution and sensitivity. We have applied Stereo-seq to study the kinetics and directionality of transcriptional variation in a time course of mouse organogenesis. We used this information to gain insight into the molecular basis of regional specification, neuronal migration and differentiation in the developing brain. Furthermore, we mapped the expression of a panel of developmental disease-related loci on our global transcriptomic maps to define the spatiotemporal windows of tissue vulnerability. Our panoramic atlas constitutes an essential resource to investigate longstanding questions concerning normal and abnormal mammalian development.

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Chen, A., Liao, S., cheng, M., Ma, K., Wu, L., Lai, Y., Yang, J., Li, W., Xu, J., Hao, S., Chen, X., Liu, X., Huang, X., Lin, F., Tang, X., Li, Z., Hong, Y., Fu, D., Jiang, Y., Peng, J., Liu, S., Shen, M., Liu, C., Li, Q., Wang, Z., Yuan, Y., Volpe, G., Ward, C., Munoz-Canoves, P., Thiery, J. P., Zhao, F., Li, M., Kuang, H., Wang, O., Lu, H., Wang, B., Ni, M., Zhang, W., Mu, F., Yin, Y., Yang, H., Lisby, M., Cornall, R. J., Uhlen, M., Esteban, M. A., Li, Y., Liu, L., Wang, J., Xu, X.. 2021-01-19. Large field of view-spatially resolved transcriptomics at nanoscale resolution. https://doi.org/10.1101/2021.01.17.427004

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