ReviewJournal of biological engineering2025
Cell-free protein synthesis and vesicle systems for programmable therapeutic manufacturing and delivery.
Review in Journal of biological engineering, 2025. 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.
- Eukaryotic cell-free protein synthesis: Chassis diversification, system engineering, and emerging applications.Synthetic and systems biotechnology · 2026Review
- Article
- Article
- A molecular grammar for programmable multiphase protein-RNA vesicles.bioRxiv : the preprint server for biology · 2026Article
- Smart Biosensing Nanomaterials for Alzheimer's Disease: Advances in Design and Drug Delivery Strategies to Overcome the Blood-Brain Barrier.Biosensors · 2026Review
- Wetware network-based AI: a chemical approach to embodied cognition for robotics and artificial intelligence.Frontiers in robotics and AI · 2025Article
- Synthetic cells for phage therapy: a perspective.Frontiers in cellular and infection microbiology · 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
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The convergence of cell-free protein synthesis (CFPS) and vesicle-based delivery platforms presents a promising avenue for therapeutic development. The open environment of CFPS offers precise control over protein synthesis by enabling the modulation of synthetic conditions. Additionally, vesicle-based platforms provide enhanced stability, bioavailability, and targeted delivery. This synergy facilitates the efficient production of complex proteins-including membrane proteins, antibody fragments, and proteins requiring post-translational modifications (PTMs)-and supports novel drug delivery strategies. While existing reviews have covered synthetic cells and biomanufacturing broadly, a dedicated analysis of CFPS system-containing vesicles (CFVs) for therapeutic applications remains absent from the literature. This review addresses this knowledge gap by providing a comprehensive examination of CFVs, highlighting their potential as programmable drug delivery platforms through the integration of genetic circuits. It emphasizes the advantages of CFPS over traditional cell-based approaches and explores the synergistic benefits of combining CFPS with various vesicle systems. These systems offer dynamic control over therapeutic protein production and targeted delivery, enabling precise responses to specific signals in complex environments. Although challenges such as low protein yield and imperfect targeting remain, potential optimization strategies are discussed. This analysis highlights the significant potential of integrating CFPS and vesicle-based delivery to advance biomanufacturing, therapeutic development, and synthetic cell systems, thereby opening new avenues in medicine and healthcare.
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.