Evidence map›Paper›PMID 20683944›Full record

ArticleHepatology (Baltimore, Md.)2010

Transcriptome sequencing, microarray, and proteomic analyses reveal cellular and metabolic impact of hepatitis C virus infection in vitro.

Stephen D Woodhouse, Ramamurthy Narayan, Sally Latham, Sheena Lee, Robin Antrobus, Bevin Gangadharan, Shujun Luo, Gary P Schroth, Paul Klenerman, Nicole Zitzmann

Abstract read
In one paragraph

Article in Hepatology (Baltimore, Md.), 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
56citing 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

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

  1. Pooled it
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  8. Simultaneous profiling ofComputational and structural biotechnology journal · 2021
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  16. Dual Analysis of Virus-Host Interactions: The Case ofEvolutionary bioinformatics online · 2019
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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

10 authors.

Stephen D WoodhouseOxford Glycobiology Institute, Department of Biochemistry, University of Oxford, Oxford, UK. Stephen.woodhouse@bioch.ox.ac.uk
Ramamurthy Narayan
Sally Latham
Sheena Lee
Robin Antrobus
Bevin Gangadharan
Shujun Luo
Gary P Schroth
Paul Klenerman
Nicole Zitzmann

Funding

PHS HHS 1V19A1082630-01Wellcome Trust 084655
6 · The paper itself

Abstract

unlabelledHepatitis C virus (HCV) is a major cause of liver disease but the full impact of HCV infection on the hepatocyte is poorly understood. RNA sequencing (RNA-Seq) is a novel method to analyze the full transcriptional activity of a cell or tissue, thus allowing new insight into the impact of HCV infection. We conducted the first full-genome RNA-Seq analysis in a host cell to analyze infected and noninfected cells, and compared this to microarray and proteomic analyses. The combined power of the triple approach revealed that HCV infection affects a number of previously unreported canonical pathways and biological functions, including pregnane X receptor/retinoic acid receptor activation as a potential host antiviral response, and integrin-linked kinase signaling as an entry factor. This approach also identified several mechanisms implicated in HCV pathogenesis, including an increase in reactive oxygen species. HCV infection had a broad effect on cellular metabolism, leading to increases in cellular cholesterol and free fatty acid levels, associated with a profound and specific decrease in cellular glucose levels.

conclusionRNA-Seq technology, especially when combined with established methods, demonstrated that HCV infection has potentially wide-ranging effects on cellular gene and protein expression. This in vitro study indicates a substantial metabolic impact of HCV infection and highlights new mechanisms of virus-host interaction which may be highly relevant to pathogenesis in vivo.

Indexed as

Gene Expression ProfilingMicroarray AnalysisProteomeCells, CulturedHepatitis CProteome

Identifiers

PMID20683944
PMCPMC3427885

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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.