ReviewBiotechnology journal2013
The centrality of RNA for engineering gene expression.
Review in Biotechnology journal, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 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
36 citing papers in PubMed.
- RNA-DNA Fusomer Fibers With Customizable Physicochemical, Mechanical, and Biological Properties for Next-Generation Therapeutics.Small (Weinheim an der Bergstrasse, Germany) · 2026Article
- RATEX: A Scalable RNA-Based Platform for Logical and Multi-Layered Cellular Programming.Angewandte Chemie (International ed. in English) · 2026Article
- Burden-aware feedback control of microbial consortia.Nature communications · 2026Article
- Toehold-VISTA: a machine learning approach to decipher programmable RNA sensor-target interactions.Nucleic acids research · 2026Article
- SUPER: Upcycling Genetic Parts for Precise Gene Expression Control, Leakage Minimization, and Genetic Circuit Stability.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Tuning Ultrasensitivity in Genetic Logic Gates Using Antisense RNA Feedback.ACS synthetic biology · 2025Article
- Construction of multilayered gene circuits using de-novo-designed synthetic transcriptional regulators in cell-free systems.Journal of biological engineering · 2024Article
- Advances in machine-learning approaches to RNA-targeted drug design.Artificial intelligence chemistry · 2024Article
- DNA supercoiling and regulation of intrinsic β-lactamase in pathogenic Escherichia coli.Archives of microbiology · 2023Review
- Emerging technologies for genetic control systems in cellular therapies.Current opinion in biotechnology · 2022Review
- An Easy-to-Use Plasmid Toolset for Efficient Generation and Benchmarking of Synthetic Small RNAs in Bacteria.ACS synthetic biology · 2022Article
- DNA Input Classification by a Riboregulator-Based Cell-Free Perceptron.ACS synthetic biology · 2022Article
- Engineering synthetic RNA devices for cell control.Nature reviews. Genetics · 2022Review
- Predicting RNA Scaffolds with a Hybrid Method of Vfold3D and VfoldLA.Methods in molecular biology (Clifton, N.J.) · 2021Article
- Advances in engineered trans-acting regulatory RNAs and their application in bacterial genome engineering.Journal of industrial microbiology & biotechnology · 2019Review
- Cell-Free Synthetic Biology Platform for Engineering Synthetic Biological Circuits and Systems.Methods and protocols · 2019Review
- Applying a New REFINE Approach inFrontiers in microbiology · 2019Article
- Nucleotide Modifications Decrease Innate Immune Response Induced by Synthetic Analogs of snRNAs and snoRNAs.Genes · 2018Article
- High-throughput determination of RNA structures.Nature reviews. Genetics · 2018Review
- Spatially Restricting Bioorthogonal Nucleoside Biosynthesis Enables Selective Metabolic Labeling of the Mitochondrial Transcriptome.ACS chemical biology · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Synthetic biology holds promise as both a framework for rationally engineering biological systems and a way to revolutionize how we fundamentally understand them. Essential to realizing this promise is the development of strategies and tools to reliably and predictably control and characterize sophisticated patterns of gene expression. Here we review the role that RNA can play towards this goal and make a case for why this versatile, designable, and increasingly characterizable molecule is one of the most powerful substrates for engineering gene expression at our disposal. We discuss current natural and synthetic RNA regulators of gene expression acting at key points of control--transcription, mRNA degradation, and translation. We also consider RNA structural probing and computational RNA structure predication tools as a way to study RNA structure and ultimately function. Finally, we discuss how next-generation sequencing methods are being applied to the study of RNA and to the characterization of RNA's many properties throughout the cell.
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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.