Evidence map›Paper›PMID 28679166›Full record

ArticleDNA research : an international journal for rapid publication of reports on genes and genomes2017

A convenient method to pre-screen candidate guide RNAs for CRISPR/Cas9 gene editing by NHEJ-mediated integration of a 'self-cleaving' GFP-expression plasmid.

András Tálas, Péter István Kulcsár, Nóra Weinhardt, Adrienn Borsy, Eszter Tóth, Kornélia Szebényi, Sarah Laura Krausz, Krisztina Huszár, István Vida, Ádám Sturm and 7 more

Abstract read
In one paragraph

Article in DNA research : an international journal for rapid publication of reports on genes and genomes, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

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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

17 authors.

András TálasSchool of Ph.D. Studies, Semmelweis University, Budapest, Hungary.
Péter István KulcsárInstitute of Enzymology, Research Centre for Natural Sciences of the Hungarian Academy of Sciences, Budapest, Hungary.
Nóra WeinhardtInstitute of Enzymology, Research Centre for Natural Sciences of the Hungarian Academy of Sciences, Budapest, Hungary.
Adrienn BorsyInstitute of Enzymology, Research Centre for Natural Sciences of the Hungarian Academy of Sciences, Budapest, Hungary.
Eszter TóthInstitute of Enzymology, Research Centre for Natural Sciences of the Hungarian Academy of Sciences, Budapest, Hungary.
Kornélia SzebényiInstitute of Enzymology, Research Centre for Natural Sciences of the Hungarian Academy of Sciences, Budapest, Hungary.
Sarah Laura KrauszSchool of Ph.D. Studies, Semmelweis University, Budapest, Hungary.
Krisztina HuszárInstitute of Enzymology, Research Centre for Natural Sciences of the Hungarian Academy of Sciences, Budapest, Hungary.
István VidaInstitute of Enzymology, Research Centre for Natural Sciences of the Hungarian Academy of Sciences, Budapest, Hungary.
Ádám SturmInstitute of Enzymology, Research Centre for Natural Sciences of the Hungarian Academy of Sciences, Budapest, Hungary.
Bianka GordosInstitute of Enzymology, Research Centre for Natural Sciences of the Hungarian Academy of Sciences, Budapest, Hungary.
Orsolya Ivett HoffmannAnimal Biotechnology Section, Ruminant Genome Biology Group, NARIC Agricultural Biotechnology Institute, Gödöllo, Hungary.
Petra BencsuraInstitute of Enzymology, Research Centre for Natural Sciences of the Hungarian Academy of Sciences, Budapest, Hungary.
Antal NyesteInstitute of Enzymology, Research Centre for Natural Sciences of the Hungarian Academy of Sciences, Budapest, Hungary.
Zoltán LigetiInstitute of Enzymology, Research Centre for Natural Sciences of the Hungarian Academy of Sciences, Budapest, Hungary.
Elfrieda FodorInstitute of Biochemistry, Biological Research Centre of the Hungarian Academy of Sciences, Szeged, Hungary.
Ervin WelkerInstitute of Enzymology, Research Centre for Natural Sciences of the Hungarian Academy of Sciences, Budapest, Hungary.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The efficacies of guide RNAs (gRNAs), the short RNA molecules that bind to and determine the sequence specificity of the Streptococcus pyogenes Cas9 nuclease, to mediate DNA cleavage vary dramatically. Thus, the selection of appropriate target sites, and hence spacer sequence, is critical for most applications. Here, we describe a simple, unparalleled method for experimentally pre-testing the efficiencies of various gRNAs targeting a gene. The method explores NHEJ-cloning, genomic integration of a GFP-expressing plasmid without homologous arms and linearized in-cell. The use of 'self-cleaving' GFP-plasmids containing universal gRNAs and corresponding targets alleviates cloning burdens when this method is applied. These universal gRNAs mediate efficient plasmid cleavage and are designed to avoid genomic targets in several model species. The method combines the advantages of the straightforward FACS detection provided by applying fluorescent reporter systems and of the PCR-based approaches being capable of testing targets in their genomic context, without necessitating any extra cloning steps. Additionally, we show that NHEJ-cloning can also be used in mammalian cells for targeted integration of donor plasmids up to 10 kb in size, with up to 30% efficiency, without any selection or enrichment.

Indexed as

CRISPR-Cas SystemsDNA End-Joining RepairAnimalsGene EditingGenomicsGreen Fluorescent ProteinsHEK293 CellsHeLa CellsHumansMiceNIH 3T3 CellsPlasmidsRNA, Guide, CRISPR-Cas SystemsGreen Fluorescent ProteinsRNA, Guide, CRISPR-Cas SystemsCas9CRISPRgRNA testingNHEJ-cloningreporter assay

Identifiers

PMID28679166
PMCPMC5726473

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LicenceCC BY-NC
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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.