Evidence map›Paper›PMID 29924347›Full record

ArticleNucleic acids research2018

Highly efficient RNAi and Cas9-based auto-cloning systems for C. elegans research.

Ádám Sturm, Éva Saskoi, Kovács Tibor, Nóra Weinhardt, Tibor Vellai

Open access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed
1.9field-weighted citation impact, top 14% 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

37 citing papers in PubMed, 87 citations in OpenAlex.

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  20. International journal of molecular sciences · 2023
    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.

Ádám SturmDepartment of Genetics, Eötvös Loránd University, Budapest, Hungary.
Éva SaskoiDepartment of Genetics, Eötvös Loránd University, Budapest, Hungary.
Kovács TiborDepartment of Genetics, Eötvös Loránd University, Budapest, Hungary.
Nóra WeinhardtDoctoral School in Biology, Faculty of Science and Informatics, University of Szeged, Szeged H-6726, Hungary.
Tibor VellaiDepartment of Genetics, Eötvös Loránd University, Budapest, Hungary.
Eötvös Loránd University · HUUniversity of Szeged · HU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

RNA interference (RNAi) technology used for the functional analysis of Caenorhabditis elegans genes frequently leads to phenotypes with low penetrance or even proves completely ineffective. The methods previously developed to solve this problem were built on mutant genetic backgrounds, such as those defective for rrf-3, in which endogenous RNAi pathways are overexpressed. These mutations, however, interferes with many other genetic pathways so that the detected phenotype cannot always be clearly linked to the RNAi-exposed gene. In addition, using RNAi-overexpressing mutant backgrounds requires time-consuming genetic crossing. Here, we present an improved RNAi vector that produces specific double-stranded RNA species only, and thereby significantly stronger phenotypes than the standard gene knockdown vector. The further advantage of the new RNAi vector is that the detected phenotype can be specifically linked to the gene silenced. We also created a new all-in-one C. elegans Cas9 vector whose spacer sequence is much easier to replace. Both new vectors include a novel CRISPR/Cas9-based auto-cloning vector system rendering needless the use of restriction and ligase enzymes in generating DNA constructs. This novel, efficient RNAi and auto-cloning Cas9 systems can be easily adapted to any other genetic model.

Indexed as

Genetic VectorsAnimalsAnimals, Genetically ModifiedCaenorhabditis elegansCaenorhabditis elegans ProteinsCloning, MolecularCRISPR-Cas SystemsForkhead Transcription FactorsGene Expression ProfilingGene Knockdown TechniquesGreen Fluorescent ProteinsHomeostasisReal-Time Polymerase Chain ReactionResearchRNA InterferenceCaenorhabditis elegans Proteinsdaf-16 protein, C elegansForkhead Transcription FactorsGreen Fluorescent Proteins

Identifiers

PMID29924347
PMCPMC6158509
OpenAlexW2808858009

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.