Evidence map›Paper›PMID 33134100›Full record

ArticleMethodsX2020

Direct ENIT: An easy and reliable tool for gRNA efficacy verification by tracking induced chromosomal translocation.

Nikolai A Lomov, Vladimir S Viushkov, Aleksei V Zamalutdinov, Maria D Sboeva, Mikhail A Rubtsov

Open access · goldAbstract read
In one paragraph

Article in MethodsX, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact, top 90% of its field
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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Article
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

5 authors at 2 institutions in 1 country.

Nikolai A LomovDepartment of Molecular Biology, Faculty of Biology, Lomonosov Moscow State University, Moscow, Russia.
Vladimir S ViushkovDepartment of Molecular Biology, Faculty of Biology, Lomonosov Moscow State University, Moscow, Russia.
Aleksei V ZamalutdinovDepartment of Molecular Biology, Faculty of Biology, Lomonosov Moscow State University, Moscow, Russia.
Maria D SboevaDepartment of Molecular Biology, Faculty of Biology, Lomonosov Moscow State University, Moscow, Russia.
Mikhail A RubtsovDepartment of Molecular Biology, Faculty of Biology, Lomonosov Moscow State University, Moscow, Russia.
Lomonosov Moscow State University · RUSechenov University · RU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

CRISPR/Cas systems (Clustered regularly interspaced palindromic repeats / CRISPR-associated) are rapidly becoming a commonplace and popular tool for gene editing in research and clinical contexts. However, the quality of CRISPR/Cas experiments depends heavily on the guide RNA (gRNA) design; therefore, a reliable, easy, and rapid method for verifying gRNA cleavage efficacy is necessary. Engineered nuclease-induced translocations (ENIT) are an easy and cost-efficient method for the verification of gRNA efficacy, which involves tracking induced chromosomal mutations, using polymerase chain reaction (PCR). We have customized this method using both direct PCR and nested PCR approaches and have been able to reduce the sample preparation time. We present a simple and reliable gRNA testing approach that requires no specific enzymes or equipment.•The approach requires only routinely used enzymes and equipment.•Cost- and time-efficient, requiring approximately 30 min for PCR sample preparation, without requiring DNA purification.•High sensitivity, with induced translocation detected in 100 of 10,000 cells in the general population.

Indexed as

CRISPR/CasDirect PCRGenome editingGuide RNA testing

Identifiers

PMID33134100
PMCPMC7588861
OpenAlexW3093786434

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.