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Programmable RNA sensing for cell monitoring and manipulation

Author

Listed:
  • Yongjun Qian

    (Duke University Medical Center
    Cold Spring Harbor)

  • Jiayun Li

    (Cold Spring Harbor)

  • Shengli Zhao

    (Duke University Medical Center)

  • Elizabeth A. Matthews

    (Duke University Medical Center
    Duke University Medical Center)

  • Michael Adoff

    (Duke University Medical Center
    Duke University Medical Center)

  • Weixin Zhong

    (Duke University Medical Center)

  • Xu An

    (Duke University Medical Center)

  • Michele Yeo

    (Duke University Medical Center
    Duke University Medical Center)

  • Christine Park

    (Duke University Medical Center
    Duke University Medical Center)

  • Xiaolu Yang

    (Duke University Medical Center)

  • Bor-Shuen Wang

    (Cold Spring Harbor)

  • Derek G. Southwell

    (Duke University Medical Center
    Duke University Medical Center)

  • Z. Josh Huang

    (Duke University Medical Center
    Cold Spring Harbor
    Duke University Pratt School of Engineering)

Abstract

RNA is a central and universal mediator of genetic information underlying the diversity of cell types and cell states, which together shape tissue organization and organismal function across species and lifespans. Despite numerous advances in RNA sequencing technologies and the massive accumulation of transcriptome datasets across the life sciences1,2, the dearth of technologies that use RNAs to observe and manipulate cell types remains a bottleneck in biology and medicine. Here we describe CellREADR (Cell access through RNA sensing by Endogenous ADAR), a programmable RNA-sensing technology that leverages RNA editing mediated by ADAR to couple the detection of cell-defining RNAs with the translation of effector proteins. Viral delivery of CellREADR conferred specific cell-type access in mouse and rat brains and in ex vivo human brain tissues. Furthermore, CellREADR enabled the recording and control of specific types of neurons in behaving mice. CellREADR thus highlights the potential for RNA-based monitoring and editing of animal cells in ways that are specific, versatile, simple and generalizable across organ systems and species, with wide applications in biology, biotechnology and programmable RNA medicine.

Suggested Citation

  • Yongjun Qian & Jiayun Li & Shengli Zhao & Elizabeth A. Matthews & Michael Adoff & Weixin Zhong & Xu An & Michele Yeo & Christine Park & Xiaolu Yang & Bor-Shuen Wang & Derek G. Southwell & Z. Josh Huan, 2022. "Programmable RNA sensing for cell monitoring and manipulation," Nature, Nature, vol. 610(7933), pages 713-721, October.
  • Handle: RePEc:nat:nature:v:610:y:2022:i:7933:d:10.1038_s41586-022-05280-1
    DOI: 10.1038/s41586-022-05280-1
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    Cited by:

    1. Raphaƫl V. Gayet & Katherine Ilia & Shiva Razavi & Nathaniel D. Tippens & Makoto A. Lalwani & Kehan Zhang & Jack X. Chen & Jonathan C. Chen & Jose Vargas-Asencio & James J. Collins, 2023. "Autocatalytic base editing for RNA-responsive translational control," Nature Communications, Nature, vol. 14(1), pages 1-10, December.
    2. Yu Zhou & Peike Sheng & Jiayi Li & Yudan Li & Mingyi Xie & Alexander A. Green, 2024. "Conditional RNA interference in mammalian cells via RNA transactivation," Nature Communications, Nature, vol. 15(1), pages 1-10, December.
    3. Min Zhang & Xue Zhang & Yongyue Xu & Yanhui Xiang & Bo Zhang & Zhen Xie & Qiong Wu & Chunbo Lou, 2024. "High-resolution and programmable RNA-IN and RNA-OUT genetic circuit in living mammalian cells," Nature Communications, Nature, vol. 15(1), pages 1-11, December.

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