Evidence map›Paper›PMID 23593195›Full record

ArticlePloS one2013

Discovery of cellular proteins required for the early steps of HCV infection using integrative genomics.

Ji Hoon Park, Solip Park, Jae-Seong Yang, Oh Sung Kwon, Sanguk Kim, Sung Key Jang

Abstract read
In one paragraph

Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
  5. The Multifaceted Roles of Autophagy in Flavivirus-Host Interactions.International journal of molecular sciences · 2018
    Review
  6. Tetraspanin Assemblies in Virus Infection.Frontiers in immunology · 2018
    Review
  7. Article
  8. Claudins in viral infection: from entry to spread.Pflugers Archiv : European journal of physiology · 2017
    Review
  9. Review
  10. Article
  11. Review
  12. 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

6 authors.

Ji Hoon ParkDivision of Molecular and Life Science, Pohang University of Science and Technology, Pohang, Korea.
Solip Park
Jae-Seong Yang
Oh Sung Kwon
Sanguk Kim
Sung Key Jang

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Successful viral infection requires intimate communication between virus and host cell, a process that absolutely requires various host proteins. However, current efforts to discover novel host proteins as therapeutic targets for viral infection are difficult. Here, we developed an integrative-genomics approach to predict human genes involved in the early steps of hepatitis C virus (HCV) infection. By integrating HCV and human protein associations, co-expression data, and tight junction-tetraspanin web specific networks, we identified host proteins required for the early steps in HCV infection. Moreover, we validated the roles of newly identified proteins in HCV infection by knocking down their expression using small interfering RNAs. Specifically, a novel host factor CD63 was shown to directly interact with HCV E2 protein. We further demonstrated that an antibody against CD63 blocked HCV infection, indicating that CD63 may serve as a new therapeutic target for HCV-related diseases. The candidate gene list provides a source for identification of new therapeutic targets.

Indexed as

Genome, HumanGenomicsHepacivirusHepatitis CHumansProtein BindingProteinsReproducibility of ResultsTetraspanin 30Viral Envelope ProteinsVirus Internalizationglycoprotein E2, Hepatitis C virusProteinsTetraspanin 30Viral Envelope Proteins

Identifiers

PMID23593195
PMCPMC3625227

What OpenQuestion holds

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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.