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Profiling stress-triggered RNA condensation with photocatalytic proximity labeling

Author

Listed:
  • Ziqi Ren

    (Peking University)

  • Wei Tang

    (Peking University)

  • Luxin Peng

    (Peking University)

  • Peng Zou

    (Peking University
    Peking University
    Chinese Institute for Brain Research (CIBR))

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.

Suggested Citation

  • Ziqi Ren & Wei Tang & Luxin Peng & Peng Zou, 2023. "Profiling stress-triggered RNA condensation with photocatalytic proximity labeling," Nature Communications, Nature, vol. 14(1), pages 1-16, December.
  • Handle: RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-43194-2
    DOI: 10.1038/s41467-023-43194-2
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    References listed on IDEAS

    as
    1. Fu Zheng & Chenxin Yu & Xinyue Zhou & Peng Zou, 2023. "Publisher Correction: Genetically encoded photocatalytic protein labeling enables spatially-resolved profiling of intracellular proteome," Nature Communications, Nature, vol. 14(1), pages 1-1, December.
    2. Yansheng Zhai & Xiaoyan Huang & Keren Zhang & Yuchen Huang & Yanlong Jiang & Jingwei Cui & Zhe Zhang & Cookson K. C. Chiu & Weiye Zhong & Gang Li, 2022. "Spatiotemporal-resolved protein networks profiling with photoactivation dependent proximity labeling," Nature Communications, Nature, vol. 13(1), pages 1-12, December.
    3. Eric L. Nostrand & Peter Freese & Gabriel A. Pratt & Xiaofeng Wang & Xintao Wei & Rui Xiao & Steven M. Blue & Jia-Yu Chen & Neal A. L. Cody & Daniel Dominguez & Sara Olson & Balaji Sundararaman & Liju, 2020. "A large-scale binding and functional map of human RNA-binding proteins," Nature, Nature, vol. 583(7818), pages 711-719, July.
    4. Ryan J. Ries & Sara Zaccara & Pierre Klein & Anthony Olarerin-George & Sim Namkoong & Brian F. Pickering & Deepak P. Patil & Hojoong Kwak & Jun Hee Lee & Samie R. Jaffrey, 2019. "m6A enhances the phase separation potential of mRNA," Nature, Nature, vol. 571(7765), pages 424-428, July.
    5. Fu Zheng & Chenxin Yu & Xinyue Zhou & Peng Zou, 2023. "Genetically encoded photocatalytic protein labeling enables spatially-resolved profiling of intracellular proteome," Nature Communications, Nature, vol. 14(1), pages 1-14, December.
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