Evidence map›Paper›PMID 32699298›Full record

ArticleScientific reports2020

A pooled genome-wide screening strategy to identify and rank influenza host restriction factors in cell-based vaccine production platforms.

David M Sharon, Sean Nesdoly, Hsin J Yang, Jean-François Gélinas, Yu Xia, Sven Ansorge, Amine A Kamen

Abstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
–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

15 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Adding a Chemical Biology Twist to CRISPR Screening.Israel journal of chemistry · 2023
    Article
  6. Article
  7. Review
  8. Review
  9. Article
  10. Article
  11. Therapeutic potentials of CRISPR-Cas genome editing technology in human viral infections.Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie · 2022
    Review
  12. Review
  13. The use of base editing technology to characterize single nucleotide variants.Computational and structural biotechnology journal · 2022
    Review
  14. Article
  15. 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

7 authors.

David M SharonDepartment of Bioengineering, McGill University, McConnell Engineering Building, Room 363, 3480 Rue University, Montreal, QC, H3A 2K6, Canada.
Sean NesdolyDepartment of Bioengineering, McGill University, McConnell Engineering Building, Room 363, 3480 Rue University, Montreal, QC, H3A 2K6, Canada.
Hsin J YangDepartment of Bioengineering, McGill University, McConnell Engineering Building, Room 363, 3480 Rue University, Montreal, QC, H3A 2K6, Canada.
Jean-François GélinasDepartment of Bioengineering, McGill University, McConnell Engineering Building, Room 363, 3480 Rue University, Montreal, QC, H3A 2K6, Canada.ORCID http://orcid.org/0000-0003-3454-5781
Yu XiaDepartment of Bioengineering, McGill University, McConnell Engineering Building, Room 363, 3480 Rue University, Montreal, QC, H3A 2K6, Canada.
Sven AnsorgeHuman Health Therapeutics, National Research Council of Canada, Montreal, QC, Canada.
Amine A KamenDepartment of Bioengineering, McGill University, McConnell Engineering Building, Room 363, 3480 Rue University, Montreal, QC, H3A 2K6, Canada. amine.kamen@mcgill.ca.ORCID http://orcid.org/0000-0001-9110-8815

Funding

CIHR CIHR-CPG-151958
6 · The paper itself

Abstract

Cell-derived influenza vaccines provide better protection and a host of other advantages compared to the egg-derived vaccines that currently dominate the market, but their widespread use is hampered by a lack of high yield, low cost production platforms. Identification and knockout of innate immune and metabolic restriction factors within relevant host cell lines used to grow the virus could offer a means to substantially increase vaccine yield. In this paper, we describe and validate a novel genome-wide pooled CRISPR/Cas9 screening strategy that incorporates a reporter virus and a FACS selection step to identify and rank restriction factors in a given vaccine production cell line. Using the HEK-293SF cell line and A/PuertoRico/8/1934 H1N1 influenza as a model, we identify 64 putative influenza restriction factors to direct the creation of high yield knockout cell lines. In addition, gene ontology and protein complex enrichment analysis of this list of putative restriction factors offers broader insights into the primary host cell determinants of viral yield in cell-based vaccine production systems. Overall, this work will advance efforts to address the public health burden posed by influenza.

Indexed as

Genome, ViralCell SurvivalCRISPR-Cas SystemsGene EditingGene OntologyGenes, ReporterGenetic VectorsHEK293 CellsHumansInfluenza A Virus, H1N1 SubtypeInfluenza, HumanInfluenza VaccinesRNA, Guide, CRISPR-Cas SystemsVirus ReplicationInfluenza VaccinesRNA, Guide, CRISPR-Cas Systems

Identifiers

PMID32699298
PMCPMC7376217

What OpenQuestion holds

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LicenceCC BY
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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.