ReviewACS synthetic biology2023
Making the Next Generation of Therapeutics: mRNA Meets Synthetic Biology.
Review in ACS synthetic biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 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
7 citing papers in PubMed.
- mRNA-Encoded antibodies as a next-generation therapeutic paradigm: a rapid and adaptive platform for the prevention and treatment of emerging and re-emerging infectious diseases - A critical review.Immunologic research · 2026Review
- Next-generation miRNA therapeutics: from computational design to translational engineering.Naunyn-Schmiedeberg's archives of pharmacology · 2026Review
- Emerging technologies transforming the future of global biosecurity.Frontiers in digital health · 2025Review
- X-inactive specific transcript (XIST) can determine sex differences in cardiovascular drug responses: focus on RNA therapeutics.Frontiers in pharmacology · 2025Article
- Design of a self-regulating mRNA gene circuit.Scientific reports · 2024Article
- The impact and future of artificial intelligence in medical genetics and molecular medicine: an ongoing revolution.Functional & integrative genomics · 2024Review
- The whack-a-mole governance challenge for AI-enabled synthetic biology: literature review and emerging frameworks.Frontiers in bioengineering and biotechnology · 2024Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The development of mRNA-based therapeutics centers around the natural functioning of mRNA molecules to provide the genetic information required for protein translation. To improve the efficacy of these therapeutics and minimize side effects, researchers can focus on the features of mRNA itself or the properties of the delivery agent to achieve the desired response. The tools considered for mRNA manipulation can be improved in terms of targetability, tunability, and translatability to medicine. While ongoing studies are dedicated to improving conventional approaches, innovative approaches can also be considered to unleash the full potential of mRNA-based therapeutics. Here, we discuss the opportunities that emerged from introducing synthetic biology to mRNA therapeutics. It includes a discussion of modular self-assembled mRNA nanoparticles, logic gates on a single mRNA molecule, and other possibilities.
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.