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第一次接触时空组学问题,想要问问有没有这方面的前沿综述推荐一下,觉得这方面研究很有代表性。

相关实验:单细胞多组学

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loveliufudan

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时空组学是近年发展迅速的前沿领域之一,有很多有代表性的综述文章可以推荐:

Wang, X., Allen, W. E., Wright, M. A., Sylwestrak, E. L., Samusik, N., Vesuna, S., ... & Lin, M. Z. (2018). Three-dimensional intact-tissue sequencing of single-cell transcriptional states. Science, 361(6400), eaat5691.

Ståhl, P. L., Salmén, F., Vickovic, S., Lundmark, A., Navarro, J. F., Magnusson, J., ... & Frisén, J. (2016). Visualization and analysis of gene expression in tissue sections by spatial transcriptomics. Science, 353(6294), 78-82.

Chen, K. H., Boettiger, A. N., Moffitt, J. R., Wang, S., & Zhuang, X. (2015). RNA imaging. Spatially resolved, highly multiplexed RNA profiling in single cells. Science, 348(6233), aaa6090.

Lin, J. R., Fallahi‐Sichani, M., & Sorger, P. K. (2018). Highly multiplexed imaging of single cells using a high‐throughput cyclic immunofluorescence method. Nature communications, 9(1), 1-13.

Rodriques, S. G., Stickels, R. R., Goeva, A., Martin, C. A., Murray, E., Vanderburg, C. R., ... & Stevens, B. (2019). Slide-seq: A scalable technology for measuring genome-wide expression at high spatial resolution. Science, 363(6434), 1463-1467.

这些文章涵盖时空组学的多方面,有单细胞、组织切片、RNA、蛋白质的空间分析。

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土井挞克树

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可以看看发表于国际期刊Journal of Genetics and Genomics上的综述文章《Spatially resolved transcriptomics: a comprehensive review of their technological advances, applications, and challenges》

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