Evidence map›Paper›PMID 29069468›Full record

ArticleLaboratory medicine2017

Leukocyte Dynamics Influence Reference Gene Stability in Whole Blood: Data-Driven qRT-PCR Normalization Is a Robust Alternative for Measurement of Transcriptional Biomarkers.

Grant C O'Connell, Madison B Treadway, Ashley B Petrone, Connie S Tennant, Noelle Lucke-Wold, Paul D Chantler, Taura L Barr

Abstract read
In one paragraph

Article in Laboratory medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

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  10. International journal of molecular sciences · 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

7 authors.

Grant C O'ConnellCenter for Basic and Translational Stroke Research, Robert C. Byrd Health Sciences Center.
Madison B TreadwayDepartment of Biology, Eberly College of Arts and Sciences.
Ashley B PetroneCenter for Basic and Translational Stroke Research, Robert C. Byrd Health Sciences Center.
Connie S TennantCenter for Basic and Translational Stroke Research, Robert C. Byrd Health Sciences Center.
Noelle Lucke-WoldCenter for Basic and Translational Stroke Research, Robert C. Byrd Health Sciences Center.
Paul D ChantlerCenter for Cardiovascular and Respiratory Sciences, Robert C. Byrd Health Sciences Center.
Taura L BarrValtari Bio, Morgantown, WV.

Funding

West Virginia IDEA-CTRU54GM104942 · NIGMS · WEST VIRGINIA UNIVERSITY · PI Sally Lynn Hodder · 2012 to 2026
$81.0M
NIGMS NIH HHS U54 GM104942
6 · The paper itself

Abstract

backgroundThe use of reference genes for normalization of whole blood qRT-PCR data may be problematic in conditions such as stroke which induce alterations in white blood cell differential. In this study, we assessed the influence of stroke on the stability of commonly employed reference genes, and we evaluated data-driven normalization as an alternative.

methodsPeripheral whole blood was sampled from 33 stroke patients and 29 controls, and qRT-PCR was used to measure the expression levels of 10 target genes whose transcripts are known stroke biomarkers. Target gene expression levels were normalized via those of 2 frequently cited reference genes (ACTB and B2M) as well as with the NORMA-Gene data-driven normalization algorithm.

resultsWhole blood expression levels of reference genes were significantly altered in stroke patients relative to controls. In comparison to normalization via reference genes, NORMA-Gene produced more robust target gene expression data in terms of differential expression dynamics, variance properties, and diagnostic performance.

conclusionsOur findings suggest that whole blood expression levels of commonly used reference genes may be sensitive to changes in white blood cell differential, and that data-driven qRT-PCR normalization approaches offer a powerful alternative.

Indexed as

BiomarkersAgedAged, 80 and overAlgorithmsFemaleGene Expression ProfilingGenes, EssentialHumansLeukocytesMaleMiddle AgedReference StandardsReverse Transcriptase Polymerase Chain ReactionBiomarkerscomplete blood countddCTdelta delta CTdigital PCRhousekeeping geneNORMA-Genepolymerase chain reactionRNAβ-2 microglobulinβ-actinΔΔCT

Identifiers

PMID29069468
PMCPMC5907901

What OpenQuestion holds

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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.