Evidence map›Paper›PMID 28852586›Full record

ArticlePeerJ2017

RNA-seq reveals more consistent reference genes for gene expression studies in human non-melanoma skin cancers.

Van L T Hoang, Lisa N Tom, Xiu-Cheng Quek, Jean-Marie Tan, Elizabeth J Payne, Lynlee L Lin, Sudipta Sinnya, Anthony P Raphael, Duncan Lambie, Ian H Frazer and 3 more

Open access · goldAbstract read
In one paragraph

Article in PeerJ, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
2.7field-weighted citation impact, top 9% 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

28 citing papers in PubMed, 50 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

13 authors at 6 institutions in 2 countries.

Van L T Hoang *Dermatology Research Centre, Diamantina Institute, Translational Research Institute, Princess Alexandra Hospital, The University of Queensland, Brisbane, Queensland, Australia.
Lisa N Tom *Dermatology Research Centre, Diamantina Institute, Translational Research Institute, Princess Alexandra Hospital, The University of Queensland, Brisbane, Queensland, Australia.
Xiu-Cheng Quek *Garvan Institute of Medical Research, Sydney, New South Wales, Australia.
Jean-Marie TanDermatology Research Centre, Diamantina Institute, Translational Research Institute, Princess Alexandra Hospital, The University of Queensland, Brisbane, Queensland, Australia.
Elizabeth J PayneDermatology Research Centre, Diamantina Institute, Translational Research Institute, Princess Alexandra Hospital, The University of Queensland, Brisbane, Queensland, Australia.
Lynlee L LinDermatology Research Centre, Diamantina Institute, Translational Research Institute, Princess Alexandra Hospital, The University of Queensland, Brisbane, Queensland, Australia.
Sudipta SinnyaDermatology Research Centre, Diamantina Institute, Translational Research Institute, Princess Alexandra Hospital, The University of Queensland, Brisbane, Queensland, Australia.
Anthony P RaphaelDermatology Research Centre, Diamantina Institute, Translational Research Institute, Princess Alexandra Hospital, The University of Queensland, Brisbane, Queensland, Australia.
Duncan LambieDepartment of Anatomical Pathology, Princess Alexandra Hospital, Brisbane, Queensland, Australia.
Ian H FrazerDiamantina Institute, Translational Research Institute, Princess Alexandra Hospital, The University of Queensland, Brisbane, Queensland, Australia.
Marcel E DingerGarvan Institute of Medical Research, Sydney, New South Wales, Australia.
H Peter SoyerDermatology Research Centre, Diamantina Institute, Translational Research Institute, Princess Alexandra Hospital, The University of Queensland, Brisbane, Queensland, Australia.
Tarl W ProwDermatology Research Centre, Diamantina Institute, Translational Research Institute, Princess Alexandra Hospital, The University of Queensland, Brisbane, Queensland, Australia.
Princess Alexandra Hospital · AUThe University of Queensland · AUTranslational Research Institute · AUCenter for Systems Biology · USGarvan Institute of Medical Research · AUSt Vincent's Clinic · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Identification of appropriate reference genes (RGs) is critical to accurate data interpretation in quantitative real-time PCR (qPCR) experiments. In this study, we have utilised next generation RNA sequencing (RNA-seq) to analyse the transcriptome of a panel of non-melanoma skin cancer lesions, identifying genes that are consistently expressed across all samples. Genes encoding ribosomal proteins were amongst the most stable in this dataset. Validation of this RNA-seq data was examined using qPCR to confirm the suitability of a set of highly stable genes for use as qPCR RGs. These genes will provide a valuable resource for the normalisation of qPCR data for the analysis of non-melanoma skin cancer.

Indexed as

Non-melanoma skin cancerqPCRReference geneRNA-seq

Identifiers

PMID28852586
PMCPMC5572537
OpenAlexW2517226841

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.