Evidence map›Paper›PMID 34155402›Full record

ArticleNature chemical biology2021

Predictable control of RNA lifetime using engineered degradation-tuning RNAs.

Qi Zhang, Duo Ma, Fuqing Wu, Kylie Standage-Beier, Xingwen Chen, Kaiyue Wu, Alexander A Green, Xiao Wang

Abstract read
In one paragraph

Article in Nature chemical biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
–field-weighted citation impact
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

24 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Trans-splicing for gene regulation.Nature chemical biology · 2025
    Article
  7. Review
  8. Article
  9. RNA Structure: Past, Future, and Gene Therapy Applications.International journal of molecular sciences · 2024
    Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Rapid and Finely-Tuned Expression for Deployable Sensing Applications.Advances in biochemical engineering/biotechnology · 2023
    Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Qi ZhangSchool of Biological and Health Systems Engineering, Arizona State University, Tempe, AZ, USA.ORCID http://orcid.org/0000-0002-8463-1322
Duo MaBiodesign Center for Molecular Design and Biomimetics, The Biodesign Institute and School of Molecular Sciences, Arizona State University, Tempe, AZ, USA.
Fuqing WuSchool of Biological and Health Systems Engineering, Arizona State University, Tempe, AZ, USA.
Kylie Standage-BeierSchool of Biological and Health Systems Engineering, Arizona State University, Tempe, AZ, USA.
Xingwen ChenSchool of Biological and Health Systems Engineering, Arizona State University, Tempe, AZ, USA.
Kaiyue WuDepartment of Biomedical Engineering, Boston University, Boston, MA, USA.
Alexander A GreenDepartment of Biomedical Engineering, Boston University, Boston, MA, USA. aagreen@bu.edu.ORCID http://orcid.org/0000-0003-2058-1204
Xiao WangSchool of Biological and Health Systems Engineering, Arizona State University, Tempe, AZ, USA. xiaowang@asu.edu.ORCID http://orcid.org/0000-0002-4056-0155

Funding

Programming cellular behavior by mechanical forcesR01EB037112 · NIBIB · YALE UNIVERSITY · PI Julien Berro, Alexander Arthur Green · 2024 to 2026
$7.2M
Molecular Fuses for Real-Time, Label-Free, Multiplexed Imaging of RNAs in Living CellsDP2GM126892 · NIGMS · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI GREEN, ALEXANDER ARTHUR · 2017 to 2017
$2.3M
Forward engineering to understand gene regulatory network topologiesR01GM106081 · NIGMS · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · PI WANG, XIAO · 2014 to 2018
$1.7M
Predictive Modeling of Pattern Formation Driven by Synthetic Gene NetworksR01GM131405 · NIGMS · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · PI KUANG, YANG · 2018 to 2021
$1.5M
Programmable electrochemical gene circuit sensors for infectious disease detectionR21AI136571 · NIAID · UNIVERSITY OF TORONTO · PI GREEN, ALEXANDER ARTHUR, KELLEY, SHANA O · 2018 to 2019
$300k
NIAID NIH HHS R21 AI136571NIBIB NIH HHS R01 EB037112NIGMS NIH HHS DP2 GM126892NIGMS NIH HHS R01 GM106081NIGMS NIH HHS R01 GM131405
6 · The paper itself

Abstract

The ability to tune RNA and gene expression dynamics is greatly needed for biotechnological applications. Native RNA stabilizers or engineered 5' stability hairpins have been used to regulate transcript half-life to control recombinant protein expression. However, these methods have been mostly ad hoc and hence lack predictability and modularity. Here, we report a library of RNA modules called degradation-tuning RNAs (dtRNAs) that can increase or decrease transcript stability in vivo and in vitro. dtRNAs enable modulation of transcript stability over a 40-fold dynamic range in Escherichia coli with minimal influence on translation initiation. We harness dtRNAs in messenger RNAs and noncoding RNAs to tune gene circuit dynamics and enhance CRISPR interference in vivo. Use of stabilizing dtRNAs in cell-free transcription-translation reactions also tunes gene and RNA aptamer production. Finally, we combine dtRNAs with toehold switch sensors to enhance the performance of paper-based norovirus diagnostics, illustrating the potential of dtRNAs for biotechnological applications.

Indexed as

Genetic EngineeringBiotechnologyEscherichia coliRNARNA

Identifiers

PMID34155402
PMCPMC8238901

What OpenQuestion holds

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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.