Evidence map›Paper›PMID 36298718›Full record

ReviewViruses2022

Flavivirus-Host Interaction Landscape Visualized through Genome-Wide CRISPR Screens.

Aditi Kanojia, Mansi Sharma, Rishad Shiraz, Shashank Tripathi

Open access · goldAbstract readReview
In one paragraph

Review in Viruses, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.8field-weighted citation impact, top 15% 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

9 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
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  7. Article
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  9. Review
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

4 authors at 1 institution in 1 country.

Aditi KanojiaCentre for Infectious Disease Research, Indian Institute of Science, Bengaluru 560012, India.
Mansi SharmaCentre for Infectious Disease Research, Indian Institute of Science, Bengaluru 560012, India.ORCID 0000-0001-7232-1362
Rishad ShirazCentre for Infectious Disease Research, Indian Institute of Science, Bengaluru 560012, India.
Shashank TripathiCentre for Infectious Disease Research, Indian Institute of Science, Bengaluru 560012, India.ORCID 0000-0002-1254-9979
Indian Institute of Science Bangalore · IN

Funding

Wellcome Trust
6 · The paper itself

Abstract

Flaviviruses comprise several important human pathogens which cause significant morbidity and mortality worldwide. Like any other virus, they are obligate intracellular parasites. Therefore, studying the host cellular factors that promote or restrict their replication and pathogenesis becomes vital. Since inhibiting the host dependency factors or activating the host restriction factors can suppress the viral replication and propagation in the cell, identifying them reveals potential targets for antiviral therapeutics. Clustered regularly interspaced short palindromic repeats (CRISPR) technology has provided an effective means of producing customizable genetic modifications and performing forward genetic screens in a broad spectrum of cell types and organisms. The ease, rapidity, and high reproducibility of CRISPR technology have made it an excellent tool for carrying out genome-wide screens to identify and characterize viral host dependency factors systematically. Here, we review the insights from various Genome-wide CRISPR screens that have advanced our understanding of Flavivirus-Host interactions.

Indexed as

FlavivirusVirusesAntiviral AgentsClustered Regularly Interspaced Short Palindromic RepeatsCRISPR-Cas SystemsHumansReproducibility of ResultsAntiviral Agentsflavivirusesgenome-wide CRISPR screensvirus-host interactions

Identifiers

PMID36298718
PMCPMC9609550
OpenAlexW4304813801

What Socratic 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 Socratic graph.