Evidence map›Paper›PMID 34835064›Full record

ReviewViruses2021

CRISPR Screening: Molecular Tools for Studying Virus-Host Interactions.

Vladimir Chulanov, Anastasiya Kostyusheva, Sergey Brezgin, Natalia Ponomareva, Vladimir Gegechkori, Elena Volchkova, Nikolay Pimenov, Dmitry Kostyushev

Abstract readReview
In one paragraph

Review in Viruses, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 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

8 authors.

Vladimir ChulanovNational Medical Research Center of Tuberculosis and Infectious Diseases, Ministry of Health, 127994 Moscow, Russia.ORCID 0000-0001-6303-9293
Anastasiya KostyushevaNational Medical Research Center of Tuberculosis and Infectious Diseases, Ministry of Health, 127994 Moscow, Russia.
Sergey BrezginNational Medical Research Center of Tuberculosis and Infectious Diseases, Ministry of Health, 127994 Moscow, Russia.ORCID 0000-0003-4792-0739
Natalia PonomarevaNational Medical Research Center of Tuberculosis and Infectious Diseases, Ministry of Health, 127994 Moscow, Russia.
Vladimir GegechkoriDepartment of Pharmaceutical and Toxicological Chemistry, Sechenov University, 119991 Moscow, Russia.ORCID 0000-0001-8437-1148
Elena VolchkovaDepartment of Infectious Diseases, Sechenov University, 119991 Moscow, Russia.
Nikolay PimenovNational Medical Research Center of Tuberculosis and Infectious Diseases, Ministry of Health, 127994 Moscow, Russia.ORCID 0000-0002-6138-4330
Dmitry KostyushevNational Medical Research Center of Tuberculosis and Infectious Diseases, Ministry of Health, 127994 Moscow, Russia.ORCID 0000-0002-1851-7441

Funding

Russian Science Foundation 20-15-00373
6 · The paper itself

Abstract

CRISPR/Cas is a powerful tool for studying the role of genes in viral infections. The invention of CRISPR screening technologies has made it possible to untangle complex interactions between the host and viral agents. Moreover, whole-genome and pathway-specific CRISPR screens have facilitated identification of novel drug candidates for treating viral infections. In this review, we highlight recent developments in the fields of CRISPR/Cas with a focus on the use of CRISPR screens for studying viral infections and identifying new candidate genes to aid development of antivirals.

Indexed as

CRISPR-Cas SystemsGenetic TechniquesDrug DiscoveryGenome-Wide Association StudyHigh-Throughput Screening AssaysHost Microbial InteractionsHumansVirus DiseasesVirusesCas12Cas9COVID-19HAVhepatitisHIVSARS-CoV-2ZIKV

Identifiers

PMID34835064
PMCPMC8618713

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.