ArticleAnalytical biochemistry2009
Recombination between linear double-stranded DNA substrates in vivo.
Article in Analytical biochemistry, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 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
2 citing papers in PubMed.
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Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
Recombineering technology in Escherichia coli enables targeting of linear donor DNA to circular recipient DNA using short shared homology sequences. In this work, we demonstrate that recombineering is also able to support recombination between a pair of linear DNA substrates (linear/linear recombineering) in vivo in E. coli. Linear DNA up to 100 kb is accurately modified and remains intact without undergoing rearrangements after recombination. This system will be valuable for direct in vivo manipulation of large linear DNA including the N15 and PY54 prophages and linear animal viruses, and for assembly of linear constructs as artificial chromosome vectors.
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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.