ReviewBiotechnology and bioengineering2025
Chromatography in Downstream Processing of Recombinant Adeno-Associated Viruses: A Review of Current and Future Practises.
Review in Biotechnology and bioengineering, 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.
- Optimization and scale up strategies for reproducible AAV enrichment step on CIMmultusGene therapy · 2026Article
- Manufacture of adeno-associated virus vectors by a novel human-derived cell line HAT and comprehensive evaluation of the vectors.Molecular therapy. Advances · 2026Article
- Streamlined rAAV HeLaS3 producer cell line generation via GS selection.Scientific reports · 2026Article
- Downstream Process Intensification for AAV Purification by Affinity Chromatography Using Single Pass Tangential Flow Filtration.Biotechnology and bioengineering · 2026Article
- Establishment of a novel human amniotic epithelial-derived cell line, HAT, for high-yield AAV vector production.Molecular therapy. Methods & clinical development · 2025Article
- Mass photometry as a robust method for characterizing adeno-associated virus critical quality attributes in gene therapy vector.Molecular therapy. Nucleic acids · 2025Article
- Advancing AAV vector manufacturing: challenges, innovations, and future directions for gene therapy.Frontiers in molecular medicine · 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
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Recombinant adeno-associated virus (rAAV) has emerged as an attractive gene delivery vector platform to treat both rare and pervasive diseases. With more and more rAAV-based therapies entering late-stage clinical trials and commercialization, there is an increasing pressure on the rAAV manufacturing process to accelerate drug development, account for larger trials, and commercially provide high doses. Still, many of the pre-clinical and clinical manufacturing processes are tied to outdated technologies, which results in substantial production expenses. Those processes face challenges including low productivity and difficult scalability, which limits its ability to provide for required dosages which in turn influences the accessibility of the drug. And as upstream efforts are expected to increase productivities, the downstream part needs to adapt with more scalable and efficient technologies. In this review, both traditional and novel rAAV downstream technologies are presented and discussed. Traditional rAAV downstream processes are based on density gradient ultracentrifugation and have been shown to effectively purify rAAVs with high yields and purities. However, those processes lack scalability and efficiency, which is why novel rAAV downstream processes based on column-chromatography have emerged as an attractive alternative and show potential for integration in continuous processes, following the principle of next-generation manufacturing.
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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.