Evidence map›Paper›PMID 39747656›Full record

ArticleNature chemical biology2025

Programmable trans-splicing riboregulators for complex cellular logic computation.

Yuanli Gao, Rizki Mardian, Jiaxin Ma, Yang Li, Christopher E French, Baojun Wang

Abstract read
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In one paragraph

Article in Nature chemical biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Programming Next-Generation Synthetic Biosensors by Genetic Circuit Design.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
  7. Article
  8. Article
  9. Review
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

6 authors.

Yuanli GaoCollege of Chemical and Biological Engineering, Zhejiang University, Hangzhou, China.ORCID http://orcid.org/0000-0002-0535-249X
Rizki MardianSchool of Biological Sciences, University of Edinburgh, Edinburgh, UK.
Jiaxin MaCollege of Chemical and Biological Engineering, Zhejiang University, Hangzhou, China.
Yang LiCollege of Chemical and Biological Engineering, Zhejiang University, Hangzhou, China.
Christopher E FrenchSchool of Biological Sciences, University of Edinburgh, Edinburgh, UK.
Baojun WangCollege of Chemical and Biological Engineering, Zhejiang University, Hangzhou, China. baojun.wang@zju.edu.cn.ORCID http://orcid.org/0000-0002-4858-8937

Funding

National Natural Science Foundation of China (National Science Foundation of China) 32271475National Natural Science Foundation of China (National Science Foundation of China) 32320103001
6 · The paper itself

Abstract

Synthetic genetic circuits program the cellular input-output relationships to execute customized functions. However, efforts to scale up these circuits have been hampered by the limited number of reliable regulatory mechanisms with high programmability, performance, predictability and orthogonality. Here we report a class of split-intron-enabled trans-splicing riboregulators (SENTRs) based on de novo designed external guide sequences. SENTR libraries provide low leakage expression, wide dynamic range, high predictability with machine learning and low crosstalk at multiple component levels. SENTRs can sense RNA targets, process signals by logic computation and transduce them into various outputs, either mRNAs or noncoding RNAs. We subsequently demonstrate that digital logic operation with up to six inputs can be implemented using multiple orthogonal SENTRs to regulate a single gene simultaneously and coupling SENTRs with split intein-mediated protein trans-splicing. SENTR represents a powerful and versatile regulatory tool at the post-transcriptional level in Escherichia coli, suggesting broad biotechnological applications.

Indexed as

Trans-SplicingEscherichia coliInteinsIntronsLogicMachine LearningRNA, MessengerSynthetic BiologyRNA, Messenger

Identifiers

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Registered trials

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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.