Evidence map›Paper›PMID 36198772›Full record

ArticleNature biotechnology2023

Modular, programmable RNA sensing using ADAR editing in living cells.

K Eerik Kaseniit, Noa Katz, Natalie S Kolber, Connor C Call, Diego L Wengier, Will B Cody, Elizabeth S Sattely, Xiaojing J Gao

Erratum issuedAbstract read
In one paragraph

Article in Nature biotechnology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 80 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
80citing papers in PubMed, 1 pooled it
9.3field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

80 citing papers in PubMed, 1 synthesis or guideline pooled it, 120 citations in OpenAlex.

  1. Engineering CRISPR guide RNAs for programmable RNA sensors.Biochemical Society transactions · 2023
    Pooled it
  2. Article
  3. Article
  4. Review
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Evolution of Engineered ADAR-Based RNA Editing Systems.International journal of molecular sciences · 2026
    Review
  17. Article
  18. Article
  19. Article
  20. Protein engineering: status report.Protein engineering, design & selection : PEDS · 2026
    Review

20 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 3 institutions in 1 country.

K Eerik KaseniitDepartment of Bioengineering, Stanford University, Stanford, CA, USA.ORCID http://orcid.org/0000-0002-5589-1547
Noa KatzDepartment of Chemical Engineering, Stanford University, Stanford, CA, USA.ORCID http://orcid.org/0000-0003-2789-2128
Natalie S KolberDepartment of Bioengineering, Stanford University, Stanford, CA, USA.ORCID http://orcid.org/0000-0003-4498-9431
Connor C CallDepartment of Chemical Engineering, Stanford University, Stanford, CA, USA.
Diego L WengierDepartment of Chemical Engineering, Stanford University, Stanford, CA, USA.
Will B CodyDepartment of Chemical Engineering, Stanford University, Stanford, CA, USA.
Elizabeth S SattelyDepartment of Chemical Engineering, Stanford University, Stanford, CA, USA.ORCID http://orcid.org/0000-0002-7352-859X
Xiaojing J GaoDepartment of Chemical Engineering, Stanford University, Stanford, CA, USA. xjgao@stanford.edu.ORCID http://orcid.org/0000-0002-3094-1456
Stanford University · USInterface (United States) · USHoward Hughes Medical Institute · US

Funding

Synthetic DNA-free Circuits for “Scarless” Programming of Mammalian CellsR00EB027723 · NIBIB · STANFORD UNIVERSITY · PI GAO, XIAOJING J · 2020 to 2022
$747k
Cancer Classifiers Based on RNA Sensors in Living CellsR21EB033858 · NIBIB · STANFORD UNIVERSITY · PI GAO, XIAOJING J · 2022 to 2024
$619k
NIBIB NIH HHS R00 EB027723NIBIB NIH HHS R21 EB033858
6 · The paper itself

Abstract

With the increasing availability of single-cell transcriptomes, RNA signatures offer a promising basis for targeting living cells. Molecular RNA sensors would enable the study of and therapeutic interventions for specific cell types/states in diverse contexts, particularly in human patients and non-model organisms. Here we describe a modular, programmable system for live RNA sensing using adenosine deaminases acting on RNA (RADAR). We validate, and then expand, our basic design, characterize its performance, and analyze its compatibility with human and mouse transcriptomes. We identify strategies to boost output levels and improve the dynamic range. Additionally, we show that RADAR enables compact AND logic. In addition to responding to transcript levels, RADAR can distinguish disease-relevant sequence alterations of transcript identities, such as point mutations and fusions. Finally, we demonstrate that RADAR is a self-contained system with the potential to function in diverse organisms.

Indexed as

RNARNA EditingAdenosine DeaminaseAnimalsCell SurvivalHumansMiceAdenosine DeaminaseRNA

Identifiers

PMID36198772
PMCPMC12516989
OpenAlexW4302010806

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.