Evidence map›Paper›PMID 26801621›Full record

ArticleBMC research notes2016

Identification of valid reference genes for microRNA expression studies in a hepatitis B virus replicating liver cell line.

Kari Stougaard Jacobsen, Kirstine Overgaard Nielsen, Thilde Nordmann Winther, Dieter Glebe, Flemming Pociot, Birthe Hogh

Open access · goldAbstract read
In one paragraph

Article in BMC research notes, 2016. 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
1.0field-weighted citation impact, top 22% 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

10 citing papers in PubMed, 17 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
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  5. Article
  6. Article
  7. Reference Genes for qPCR-Based miRNA Expression Profiling in 14 Human Tissues.Medical principles and practice : international journal of the Kuwait University, Health Science Centre · 2022
    Review
  8. Article
  9. Article
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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

6 authors at 4 institutions in 2 countries.

Kari Stougaard JacobsenDepartment of Paediatrics, Hvidovre Hospital, University of Copenhagen, Copenhagen, Denmark. kari.stougaard.jacobsen.01@regionh.dk.
Kirstine Overgaard NielsenDepartment of Paediatrics, Hvidovre Hospital, University of Copenhagen, Copenhagen, Denmark. kirstine.overgaard.nielsen@regionh.dk.
Thilde Nordmann WintherDepartment of Paediatrics, Hvidovre Hospital, University of Copenhagen, Copenhagen, Denmark. thildewinther@gmail.com.
Dieter GlebeInstitute of Medical Virology, National Reference Center for Hepatitis B and D Viruses, German Center for Infection Research, Biomedical Research Center Seltersberg, Justus-Liebig University Giessen, Giessen, Germany. dieter.glebe@viro.med.uni-giessen.de.
Flemming PociotDepartment of Paediatrics and Center for Non-Coding RNA in Technology and Health, Herlev Hospital, University of Copenhagen, Copenhagen, Denmark. flemming.pociot.01@regionh.dk.
Birthe HoghDepartment of Paediatrics, Hvidovre Hospital, University of Copenhagen, Copenhagen, Denmark. bhogh@sund.ku.dk.
University of Copenhagen · DKGerman Center for Infection Research · DEHerlev Hospital · DKHvidovre Hospital · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMicroRNAs are regulatory molecules and suggested as non-invasive biomarkers for molecular diagnostics and prognostics. Altered expression levels of specific microRNAs are associated with hepatitis B virus infection and hepatocellular carcinoma. We previously identified differentially expressed microRNAs with liver-specific target genes in plasma from children with chronic hepatitis B. To further understand the biological role of these microRNAs in the pathogenesis of chronic hepatitis B, we have used the human liver cell line HepG2, with and without HBV replication, after transfection of hepatitis B virus expression vectors. RT-qPCR is the preferred method for microRNA studies, and a careful normalisation strategy, verifying the optimal set of reference genes, is decisive for correctly evaluating microRNA expression levels. The aim of this study was to provide valid reference genes for the human HCC-derived cell line HepG2.

resultsA panel of 739 microRNAs was screened to identify the most stably expressed microRNAs, followed by a PubMed search identifying microRNAs previously used as reference genes. Sixteen candidate reference genes were validated by RT-qPCR. Reference gene stabilities were calculated first by standard deviations of ΔCt values and then by geNorm and NormFinder analyses, taking into account the amplification efficiency of each microRNA primer set. The optimal set of reference genes was verified by a target analysis using RT-qPCR on miR-215-5p.

conclusionWe identified miR-24-3p, miR-151a-5p, and miR-425-5p as the most valid combination of reference genes for microRNA RT-qPCR studies in our hepatitis B virus replicating HepG2 cell model.

Indexed as

Gene Expression Regulation, NeoplasticGene Expression ProfilingGenes, EssentialHepatitis B virusHep G2 CellsHumansMicroRNAsReal-Time Polymerase Chain ReactionReference StandardsSoftwareVirus ReplicationMicroRNAsMIRN151a microRNA, humanMIRN24 microRNA, humanMIRN425 microRNA, human

Identifiers

PMID26801621
PMCPMC4724106
OpenAlexW2297609825

What OpenQuestion holds

Textmetadata
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.