Evidence map›Paper›PMID 34169285›Full record

ArticleSTAR protocols2021

Generation of versatile ss-dsDNA hybrid substrates for single-molecule analysis.

Ondrej Belan, George Moore, Artur Kaczmarczyk, Matthew D Newton, Roopesh Anand, Simon J Boulton, David S Rueda

Abstract read
In one paragraph

Article in STAR protocols, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 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

7 authors.

Ondrej BelanDSB Repair Metabolism Laboratory, The Francis Crick Institute, London NW1 1AT, UK.
George MooreDepartment of Infectious Disease, Faculty of Medicine, Imperial College London, London W12 0NN, UK.
Artur KaczmarczykDepartment of Infectious Disease, Faculty of Medicine, Imperial College London, London W12 0NN, UK.
Matthew D NewtonDepartment of Infectious Disease, Faculty of Medicine, Imperial College London, London W12 0NN, UK.
Roopesh AnandDSB Repair Metabolism Laboratory, The Francis Crick Institute, London NW1 1AT, UK.
Simon J BoultonDSB Repair Metabolism Laboratory, The Francis Crick Institute, London NW1 1AT, UK.
David S RuedaDepartment of Infectious Disease, Faculty of Medicine, Imperial College London, London W12 0NN, UK.

Funding

Biotechnology and Biological Sciences Research CouncilCancer Research UK FC0010048Medical Research Council FC0010048Medical Research Council MC_UP_1102/5Wellcome Trust 206292/Z/17/ZWellcome Trust FC0010048Wellcome Trust P67153
6 · The paper itself

Abstract

Here, we describe a rapid and versatile protocol to generate gapped DNA substrates for single-molecule (SM) analysis using optical tweezers via site-specific Cas9 nicking and force-induced melting. We provide examples of single-stranded (ss) DNA gaps of different length and position. We outline protocols to visualize these substrates by replication protein A-enhanced Green Fluorescent Protein (RPA-eGFP) and SYTOX Orange staining using commercially available optical tweezers (C-TRAP). Finally, we demonstrate the utility of these substrates for SM analysis of bidirectional growth of RAD-51-ssDNA filaments. For complete details on the use and execution of this protocol, please refer to Belan et al. (2021).

Indexed as

DNADNA, Single-StrandedGreen Fluorescent ProteinsHumansOptical ImagingOptical TweezersRad51 RecombinaseRecombinant ProteinsReplication Protein ASingle Molecule ImagingDNADNA, Single-Strandedenhanced green fluorescent proteinGreen Fluorescent ProteinsRAD51 protein, humanRad51 RecombinaseRecombinant ProteinsReplication Protein AMicroscopyMolecular/Chemical ProbesSingle-molecule Assays

Identifiers

PMID34169285
PMCPMC8209646

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

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.