ReviewNature chemistry2026
Synthetic dynamic transcription frameworks and their applications.
Review in Nature chemistry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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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.
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Authors and funding
2 authors.
Funding
Abstract
Biological transcription uses dynamic machinery modulated by transcription factors and auxiliary environmental cues to control multiple biological processes. Misregulation of the transcription machinery leads to diverse genetic disorders and diseases. Here we discuss the application of DNA nanostructures and circuits in developing synthetic in vitro transcription frameworks that mimic dynamic features, such as switchable blockage of transcription by topological barriers, transcription machineries revealing transient dissipative kinetics, and bistable programs or oscillatory transcription circuits driven by feedback loops, paving the way to exploring and validating mechanisms in native transcription and their potential biological applications. Possible applications of the transcription frameworks for sensing, and future perspectives for autonomous therapeutics and the design of artificial cells, are discussed.
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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.