Evidence map›Paper›PMID 26596270›Full record

ArticleVirology journal2015

A parallel genome-wide RNAi screening strategy to identify host proteins important for entry of Marburg virus and H5N1 influenza virus.

Han Cheng, Katie Koning, Aileen O'Hearn, Minxiu Wang, Emily Rumschlag-Booms, Elizabeth Varhegyi, Lijun Rong

Abstract read
In one paragraph

Article in Virology journal, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

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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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. Review
  9. Lentiviral Vectors Pseudotyped with Filoviral Glycoproteins.Methods in molecular biology (Clifton, N.J.) · 2017
    Article
  10. 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

7 authors.

Han ChengDepartment of Microbiology and Immunology, College of Medicine, University of Illinois at Chicago, Chicago, IL, 60612, USA. hancheng@uic.edu.
Katie KoningDepartment of Microbiology and Immunology, College of Medicine, University of Illinois at Chicago, Chicago, IL, 60612, USA. katie222222@gmail.com.
Aileen O'HearnPresent address: US Army Medical Research Institute of Infectious Diseases, Fort Detrick, MD21702, USA. aileen.e.ohearn.ctr@mail.mil.
Minxiu WangPresent address: Malcolm X College, Chicago, IL, 60612, USA. mwang26@gmail.com.
Emily Rumschlag-BoomsPresent address: Northeastern Illinois University, Chicago, IL60625, USA. emily.rumschlag@gmail.com.
Elizabeth VarhegyiDepartment of Microbiology and Immunology, College of Medicine, University of Illinois at Chicago, Chicago, IL, 60612, USA. estark5@uic.edu.
Lijun RongDepartment of Microbiology and Immunology, College of Medicine, University of Illinois at Chicago, Chicago, IL, 60612, USA. lijun@uic.edu.

Funding

Screening and development of anti-Ebola entry inhibitorsU01AI077767 · NIAID · UNIVERSITY OF ILLINOIS AT CHICAGO · PI RONG, LIJUN · 2009 to 2010
$2.1M
NIAID NIH HHS AI77767NIAID NIH HHS U01 AI077767
6 · The paper itself

Abstract

backgroundGenome-wide RNAi screening has been widely used to identify host proteins involved in replication and infection of different viruses, and numerous host factors are implicated in the replication cycles of these viruses, demonstrating the power of this approach. However, discrepancies on target identification of the same viruses by different groups suggest that high throughput RNAi screening strategies need to be carefully designed, developed and optimized prior to the large scale screening.

methodsTwo genome-wide RNAi screens were performed in parallel against the entry of pseudotyped Marburg viruses and avian influenza virus H5N1 utilizing an HIV-1 based surrogate system, to identify host factors which are important for virus entry. A comparative analysis approach was employed in data analysis, which alleviated systematic positional effects and reduced the false positive number of virus-specific hits.

resultsThe parallel nature of the strategy allows us to easily identify the host factors for a specific virus with a greatly reduced number of false positives in the initial screen, which is one of the major problems with high throughput screening. The power of this strategy is illustrated by a genome-wide RNAi screen for identifying the host factors important for Marburg virus and/or avian influenza virus H5N1 as described in this study.

conclusionsThis strategy is particularly useful for highly pathogenic viruses since pseudotyping allows us to perform high throughput screens in the biosafety level 2 (BSL-2) containment instead of the BSL-3 or BSL-4 for the infectious viruses, with alleviated safety concerns. The screening strategy together with the unique comparative analysis approach makes the data more suitable for hit selection and enables us to identify virus-specific hits with a much lower false positive rate.

Indexed as

Host-Pathogen InteractionsRNA InterferenceVirus InternalizationGenetic TestingHIV-1HumansInfluenza A Virus, H5N1 SubtypeMarburgvirus

Identifiers

PMID26596270
PMCPMC4657351

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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.