Spatiotemporally resolved transcriptomics reveals subcellular RNA kinetic landscape
Creators
- 1. Department of Chemistry, Massachusetts Institute of Technology; Broad Institute of MIT and Harvard
- 2. Broad Institute of MIT and Harvard
- 3. Whitehead Institute for Biomedical Research Cambridge; Howard Hughes Medical Institute, Massachusetts Institute of Technology
- 4. John A. Paulson School of Engineering and Applied Sciences, Harvard University
- 5. Cutaneous Biology Research Center, Massachusetts General Hospital, Harvard Medical School
- 6. Broad Institute of MIT and Harvard; John A. Paulson School of Engineering and Applied Sciences, Harvard University
- 7. Broad Institute of MIT and Harvard; Computational and Systems Biology Program, Massachusetts Institute of Technology,
- 8. Department of Chemistry, Massachusetts Institute of Technology
Description
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.
Files
2022-03-28-TEMPOmap-images.zip
Files
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