Evidence map›Paper›PMID 24606728›Full record

ArticleBMC research notes2014

Identification of suitable reference genes for hepatic microRNA quantitation.

Vishal Lamba, Yogita Ghodke-Puranik, Weihua Guan, Jatinder K Lamba

Open access · goldAbstract read
In one paragraph

Article in BMC research notes, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
2.8field-weighted citation impact, top 10% 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

36 citing papers in PubMed, 67 citations in OpenAlex.

  1. Article
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  7. The miRNome of canine invasive urothelial carcinoma.Frontiers in veterinary science · 2022
    Article
  8. 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
  9. Review
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  13. Age-Related Changes in miRNA Expression Influence GSTZ1 and Other Drug Metabolizing Enzymes.Drug metabolism and disposition: the biological fate of chemicals · 2020
    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

4 authors at 1 institution in 1 country.

Vishal LambaDepartment of Experimental and Clinical Pharmacology, University of Minnesota, Minneapolis, MN, USA. lamba005@umn.edu.
Yogita Ghodke-Puranik
Weihua Guan
Jatinder K Lamba
University of Minnesota · US

Funding

Univ of Minnesota Buidling Interdisciplinary Research Careers in Women's HealthK12HD055887 · NICHD · UNIVERSITY OF MINNESOTA · PI ALLEN, SHARON S, BERGE, JERICA M · 2007 to 2023
$8.6M
NICHD NIH HHS K12HD055887
6 · The paper itself

Abstract

backgroundMicroRNAs (miRNAs) are short (~22 nt) endogenous RNAs that play important roles in regulating expression of a wide variety of genes involved in different cellular processes. Alterations in microRNA expression patterns have been associated with a number of human diseases. Accurate quantitation of microRNA levels is important for their use as biomarkers and in determining their functions. Real time PCR is the gold standard and the most frequently used technique for miRNA quantitation. Real time PCR data analysis includes normalizing the amplification data to suitable endogenous control/s to ensure that microRNA quantitation is not affected by the variability that is potentially introduced at different experimental steps. U6 (RNU6A) and RNU6B are two commonly used endogenous controls in microRNA quantitation. The present study was designed to investigate inter-individual variability and gender differences in hepatic microRNA expression as well as to identify the best endogenous control/s that could be used for normalization of real-time expression data in liver samples.

methodsWe used Taqman based real time PCR to quantitate hepatic expression levels of 22 microRNAs along with U6 and RNU6B in 50 human livers samples (25 M, 25 F). To identify the best endogenous controls for use in data analysis, we evaluated the amplified candidates for their stability (least variability) in expression using two commonly used software programs: Normfinder and GeNormplus,

resultsBoth Normfinder and GeNormplus identified U6 to be among the least stable of all the candidates analyzed, and RNU6B was also not among the top genes in stability. mir-152 and mir-23b were identified to be the two most stable candidates by both Normfinder and GeNormplus in our analysis, and were used as endogenous controls for normalization of hepatic miRNA levels.

conclusionMeasurements of microRNA stability indicate that U6 and RNU6B are not suitable for use as endogenous controls for normalizing microRNA relative quantitation data in hepatic tissue, and their use can led to possibly erroneous conclusions.

Indexed as

FemaleGene Expression ProfilingHumansLiverMaleMicroRNAsReference StandardsReproducibility of ResultsReverse Transcriptase Polymerase Chain ReactionRNA, Small NuclearRNA StabilitySex FactorsMicroRNAsRNA, Small NuclearU6 small nuclear RNA

Identifiers

PMID24606728
PMCPMC3995942
OpenAlexW2127007225

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.