ArticleScience advances2025
Implementing complex nucleic acid circuits in living cells.
Article in Science advances, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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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.
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.
Who cites it
2 citing papers in PubMed.
- Reset-free DNA logic circuits for real-time input processing and memory.Science advances · 2026Article
- Intelligent molecular logic computing toolkits: nucleic acid-based construction, functionality, and enhanced biosensing applications.Chemical science · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
14 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Synthetic nucleic acid-based computing has demonstrated complex computational capabilities in vitro. However, translating these circuits into living cells remains challenging because of instability and cellular interference. We introduce an allosteric strand exchange (ASE) strategy for complex intracellular computing. Leveraging conformational cooperativity to regulate strand exchange, ASE offers a modular platform for designing intracellular circuits with flexible programmability. We engineer a scalable circuit architecture based on ASE that can execute AND and OR logic and scale to an eight-input expression. We demonstrate ASE-based circuits can detect messenger RNAs with high specificity in mammalian cells via AND logic computation. The capacity of ASE-based circuits to accept messenger RNAs as inputs enables integration of endogenous cellular information for efficient multi-input information processing, demonstrated by a multi-input molecular classifier monitoring key cell reprogramming events. Reprogramming ASE-based circuit to interface with CRISPR-Cas9 enables programmable control of Cas9-targeting activity for gene editing, highlighting their potential for advancing intracellular biocomputation.
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Registered trials
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.