ReviewTrends in biotechnology2025
Scaling DNA engineering.
Review in Trends in biotechnology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- Synthetic Regulatory Genomics.Annual review of genomics and human genetics · 2026Review
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.
Funding
Abstract
DNA can be engineered to produce new biologics, gene therapies, and cellular therapies, and to reprogram organisms. Having the ability to engineer DNA at scale can accelerate the development of these applications. Existing technologies excel at short oligonucleotide synthesis by chemical or enzymatic methods (up to 2000 bp) and intermediate-size DNA assembly (up to 5-7 kb). Yet synthesizing sequence-validated longer DNA (>10 kb) and/or constructing highly complex combinatorial DNA libraries at scale remains a significant challenge, due largely to technical and cost barriers. Inspired by recent studies on an in vivo DNA processing platform for megabase-long DNA assembly and on high-throughput sequence verification, we discuss how these platforms may be used to achieve DNA engineering at scale.
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.