Literature DB >> 36198803

Programmable RNA sensing for cell monitoring and manipulation.

Yongjun Qian1,2, Jiayun Li2, Shengli Zhao1, Elizabeth A Matthews1,3, Michael Adoff1,3, Weixin Zhong1, Xu An1, Michele Yeo1,3, Christine Park1,3, Xiaolu Yang1, Bor-Shuen Wang2, Derek G Southwell1,3, Z Josh Huang4,5,6.   

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.
© 2022. The Author(s), under exclusive licence to Springer Nature Limited.

Entities:  

Year:  2022        PMID: 36198803     DOI: 10.1038/s41586-022-05280-1

Source DB:  PubMed          Journal:  Nature        ISSN: 0028-0836            Impact factor:   69.504


  50 in total

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Journal:  Nucleic Acids Res       Date:  2017-11-16       Impact factor: 16.971

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Authors:  Aviv Regev; Sarah A Teichmann; Eric S Lander; Ido Amit; Christophe Benoist; Ewan Birney; Bernd Bodenmiller; Peter Campbell; Piero Carninci; Menna Clatworthy; Hans Clevers; Bart Deplancke; Ian Dunham; James Eberwine; Roland Eils; Wolfgang Enard; Andrew Farmer; Lars Fugger; Berthold Göttgens; Nir Hacohen; Muzlifah Haniffa; Martin Hemberg; Seung Kim; Paul Klenerman; Arnold Kriegstein; Ed Lein; Sten Linnarsson; Emma Lundberg; Joakim Lundeberg; Partha Majumder; John C Marioni; Miriam Merad; Musa Mhlanga; Martijn Nawijn; Mihai Netea; Garry Nolan; Dana Pe'er; Anthony Phillipakis; Chris P Ponting; Stephen Quake; Wolf Reik; Orit Rozenblatt-Rosen; Joshua Sanes; Rahul Satija; Ton N Schumacher; Alex Shalek; Ehud Shapiro; Padmanee Sharma; Jay W Shin; Oliver Stegle; Michael Stratton; Michael J T Stubbington; Fabian J Theis; Matthias Uhlen; Alexander van Oudenaarden; Allon Wagner; Fiona Watt; Jonathan Weissman; Barbara Wold; Ramnik Xavier; Nir Yosef
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  1 in total

1.  Towards higher-resolution and in vivo understanding of lncRNA biogenesis and function.

Authors:  Ling-Ling Chen
Journal:  Nat Methods       Date:  2022-10       Impact factor: 47.990

  1 in total

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