Profiling stress-triggered RNA condensation with photocatalytic proximity labeling

Ziqi Ren, Wei Tang, Luxin Peng and Peng Zou ()
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Ziqi Ren: Peking University
Wei Tang: Peking University
Luxin Peng: Peking University
Peng Zou: Peking University

Nature Communications, 2023, vol. 14, issue 1, 1-16

Abstract: Abstract Stress granules (SGs) are highly dynamic cytoplasmic membrane-less organelles that assemble when cells are challenged by stress. RNA molecules are sorted into SGs where they play important roles in maintaining the structural stability of SGs and regulating gene expression. Herein, we apply a proximity-dependent RNA labeling method, CAP-seq, to comprehensively investigate the content of SG-proximal transcriptome in live mammalian cells. CAP-seq captures 457 and 822 RNAs in arsenite- and sorbitol-induced SGs in HEK293T cells, respectively, revealing that SG enrichment is positively correlated with RNA length and AU content, but negatively correlated with translation efficiency. The high spatial specificity of CAP-seq dataset is validated by single-molecule FISH imaging. We further apply CAP-seq to map dynamic changes in SG-proximal transcriptome along the time course of granule assembly and disassembly processes. Our data portray a model of AU-rich and translationally repressed SG nanostructure that are memorized long after the removal of stress.

Date: 2023
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DOI: 10.1038/s41467-023-43194-2

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