ReviewCurrent opinion in biotechnology2018
RNA-based dynamic genetic controllers: development strategies and applications.
Review in Current opinion in biotechnology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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.
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
12 citing papers in PubMed, 41 citations in OpenAlex.
- Trends of nucleic acid - based point-of-care diagnostics for infectious diseases.Journal of biological engineering · 2026Review
- Synthetic translational coupling element for multiplexed signal processing and cellular control.Nucleic acids research · 2024Article
- A single-vector intersectional AAV strategy for interrogating cellular diversity and brain function.Nature neuroscience · 2024Article
- Model-guided metabolic rewiring to bypass pyruvate oxidation for pyruvate derivative synthesis by minimizing carbon loss.mSystems · 2024Article
- Advances in ligand-specific biosensing for structurally similar molecules.Cell systems · 2023Review
- Exploring L-isoleucine riboswitches for enhancing 4-hydroxyisoleucine production in Corynebacterium glutamicum.Biotechnology letters · 2023Article
- Riboswitch RSApplied and environmental microbiology · 2022Article
- A programmable high-expression yeast platform responsive to user-defined signals.Science advances · 2022Article
- Production of Recombinant RNA in Escherichia coli Using Eggplant Latent Viroid as a Scaffold.Methods in molecular biology (Clifton, N.J.) · 2022Article
- Aptamer Applications in Emerging Viral Diseases.Pharmaceuticals (Basel, Switzerland) · 2021Review
- Developments of Riboswitches and Toehold Switches for Molecular Detection-Biosensing and Molecular Diagnostics.International journal of molecular sciences · 2020Review
- Tools and systems for evolutionary engineering of biomolecules and microorganisms.Journal of industrial microbiology & biotechnology · 2019Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Dynamic regulation of gene expression in response to various molecules is crucial for both basic science and practical applications. RNA is considered an attractive material for creating dynamic genetic controllers because of its specific binding to ligands, structural flexibility, programmability, and small size. Here, we review recent advances in strategies for developing RNA-based dynamic controllers and applications. First, we describe studies that re-engineered natural riboswitches to generate new dynamic controllers. Next, we summarize RNA-based regulatory mechanisms that have been exploited to build novel artificial dynamic controllers. We also discuss computational methods and high-throughput selection approaches for de novo design of dynamic RNA controllers. Finally, we explain applications of dynamic RNA controllers for metabolic engineering and synthetic biology.
Indexed as
Identifiers
What OpenQuestion holds
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.