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Spatiotemporally resolved transcriptomics reveals subcellular RNA kinetic landscape

Authors: Jingyi Ren; Haowen Zhou; Zeng, Hu; Wang, Connie Kangni; Jiahao Huang; Xiaojie Qiu; Sui, Xin; +13 Authors

Spatiotemporally resolved transcriptomics reveals subcellular RNA kinetic landscape

Abstract

Spatiotemporal regulation of the cellular transcriptome is crucial for proper protein expression and cellular function. However, the intricate subcellular dynamics of RNA synthesis, decay, export, and translocation remain obscured due to the limitations of existing transcriptomics methods Here, we report a spatiotemporally resolved RNA mapping method (TEMPOmap) to uncover subcellular RNA profiles across time and space at the single-cell level in heterogeneous cell populations. TEMPOmap integrates pulse-chase metabolic labeling of the transcriptome with highly multiplexed three-dimensional (3D) in situ sequencing to simultaneously profile the age and location of individual RNA molecules. Using TEMPOmap, we constructed the subcellular RNA kinetic landscape of 991 genes in human HeLa cells from upstream transcription to downstream subcellular translocation. Clustering analysis of critical 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 to serve molecular and cellular functions in a cell-cycle-dependent manner. We further demonstrated that functionally segregated RNA kinetics could be seen in heterogeneous human primary cell cultures, revealing cell-type-dependent RNA dynamic regulation. Together, these single-cell spatiotemporally resolved transcriptomics measurements provide us the gateway to uncovering new gene regulation principles and understanding how kinetic strategies enable precise RNA expression in time and space. Please use the most recent version of the dataset.

Keywords

Spatial transcriptomics

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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