Evidence map›Paper›PMID 26290686›Full record

ArticleJundishapur journal of microbiology2015

Viral Load Analysis of Hepatitis C Virus in Huh7.5 Cell Culture System.

Roghayeh Teimourpour, Zahra Meshkat, Aida Gholoubi, Hosein Nomani, Sina Rostami

Open access · hybridAbstract read
In one paragraph

Article in Jundishapur journal of microbiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.8field-weighted citation impact, top 29% 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

7 citing papers in PubMed, 14 citations in OpenAlex.

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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

5 authors at 2 institutions in 1 country.

Roghayeh TeimourpourAntimicrobial Resistance Research Center, Mashhad University of Medical Sciences, Mashhad, IR Iran.
Zahra MeshkatAntimicrobial Resistance Research Center, Mashhad University of Medical Sciences, Mashhad, IR Iran.
Aida GholoubiDepartment of Modern Sciences and Technologies, School of Medicine, Mashhad University of Medical Sciences, Mashhad, IR Iran.
Hosein NomaniAntimicrobial Resistance Research Center, Mashhad University of Medical Sciences, Mashhad, IR Iran.
Sina RostamiDepartment of Biology, Faculty of Sciences, Ferdowsi University of Mashhad, Mashhad, IR Iran.
Mashhad University of Medical Sciences · IRFerdowsi University of Mashhad · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPrevious studies using cell culture systems for the replication of hepatitis C virus have opened new research dimensions, and paved the ways for further and detailed studies of the virus in vitro.

objectivesThe purpose of the present study was to cultivate hepatitis C virus in a cell culture system and evaluate viral amplification. MATERIALS AND

methodsIn order to propagate hepatitis C virus, cloned whole genome of virus, JFH-1, was used. JFH-1 cDNA was introduced into strain JM109 of Escherichia coli and plasmid, containing the viral genome was purified from transformed bacteria. After XbaI digestion, RNA synthesis was induced using T7 RNA polymerase enzyme. Next, eukaryotic cell line Huh 7.5 was transfected by the purified RNA. Finally, Huh-7.5 cell line was infected with replicated virus and viral load was determined using real-time PCR (Polymerase Chain Reaction).

resultsThe amount of viral load, which was measured using real-time PCR was 17592 IU/mL.

conclusionsIn the present study, using cell culture, a high titer (in acceptable range) of infectious hepatitis C virus was produced. This method could be used in future studies.

Indexed as

DNA, ComplementaryHepatitis C VirusHuh 7.5JFH-1Real-Time Polymerase Chain Reaction

Identifiers

PMID26290686
PMCPMC4537521
OpenAlexW576871439

What OpenQuestion holds

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LicenceCC BY-NC
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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.