Evidence map›Paper›PMID 28112216›Full record

ArticleScientific reports2017

Enhancement of RecA-mediated self-assembly in DNA nanostructures through basepair mismatches and single-strand nicks.

Sybilla Louise Corbett, Rajan Sharma, Alexander Giles Davies, Christoph Wälti

Abstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Sybilla Louise CorbettSchool of Electronic and Electrical Engineering, University of Leeds, Leeds, LS2 9JT, U.K.
Rajan SharmaSchool of Electronic and Electrical Engineering, University of Leeds, Leeds, LS2 9JT, U.K.
Alexander Giles DaviesSchool of Electronic and Electrical Engineering, University of Leeds, Leeds, LS2 9JT, U.K.
Christoph WältiSchool of Electronic and Electrical Engineering, University of Leeds, Leeds, LS2 9JT, U.K.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The use of DNA as a structural material for nanometre-scale construction has grown extensively over the last decades. The development of more advanced DNA-based materials would benefit from a modular approach enabling the direct assembly of additional elements onto nanostructures after fabrication. RecA-based nucleoprotein filaments encapsulating short ssDNA have been demonstrated as a tool for highly efficient and fully programmable post-hoc patterning of duplex DNA scaffold. However, the underlying assembly process is not fully understood, in particular when patterning complex DNA topologies. Here, we report the effect of basepair-mismatched regions and single-strand nicks in the double-stranded DNA scaffold on the yield of RecA-based assembly. Significant increases in assembly yield are observed upon the introduction of unpaired basepairs directly adjacent to the assembly region. However, when the unpaired regions were introduced further from the assembly site the assembly yield initially decreased as the length of the unpaired region was increased. These results suggest that an unpaired region acts as a kinetic trap for RecA-based nucleoprotein filaments, impeding the assembly mechanism. Conversely, when the unpaired region is located directly adjacent to the assembly site, it leads to an increase in efficiency of RecA patterning owing to increased breathing of the assembly site.

Indexed as

Base Pair MismatchDNADNA, Single-StrandedEscherichia coliKineticsNanostructuresNucleoproteinsRec A RecombinasesDNADNA, Single-StrandedNucleoproteinsRec A Recombinases

Identifiers

PMID28112216
PMCPMC5253629

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Registered trials

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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.