Spatiotemporally resolved transcriptomics reveals the subcellular RNA kinetic landscape.

Spatiotemporally resolved transcriptomics reveals the subcellular RNA kinetic landscape.
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DOI:
10.1038/s41592-023-01829-8
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发表时间:
2023-05
期刊:
影响因子:
48
通讯作者:
Wang, Xiao
Wang, Xiao
中科院分区:
生物学1区
文献类型:
--
作者:
Ren, Jingyi;Zhou, Haowen;Zeng, Hu;Wang, Connie Kangni;Huang, Jiahao;Qiu, Xiaojie;Sui, Xin;Li, Qiang;Wu, Xunwei;Lin, Zuwan;Lo, Jennifer A.;Maher, Kamal;He, Yichun;Tang, Xin;Lam, Judson;Chen, Hongyu;Li, Brian;Fisher, David E.;Liu, Jia;Wang, Xiao

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Spatiotemporal regulation of the cellular transcriptome is crucial for proper protein expression and cellular function. However, the intricate subcellular dynamics of RNA remain obscured due to the limitations of existing transcriptomics methods. Here, we report TEMPOmap—a method that uncovers subcellular RNA profiles across time and space at the single-cell level. TEMPOmap integrates pulse-chase metabolic labeling with highly multiplexed three-dimensional in situ sequencing to simultaneously profile the age and location of individual RNA molecules. Using TEMPOmap, we constructed the subcellular RNA kinetic landscape in various human cells from transcription and translocation to degradation. Clustering analysis of RNA kinetic parameters across single cells revealed ‘kinetic gene clusters’ whose expression patterns were shaped by multistep kinetic sculpting. Importantly, these kinetic gene clusters are functionally segregated, suggesting that subcellular RNA kinetics are differentially regulated in a cell-state- and cell-type-dependent manner. Spatiotemporally resolved transcriptomics provides a gateway to uncovering new spatiotemporal gene regulation principles. TEMPOmap combines pulse-chase metabolic labeling with multiplexed three-dimensional in situ sequencing to simultaneously profile the age and subcellular location of individual RNA molecules from thousands of genes to reveal RNA kinetic landscapes.
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