Evidence map›Paper›PMID 30128175›Full record

ArticlePeerJ2018

A minimal set of internal control genes for gene expression studies in head and neck squamous cell carcinoma.

Vinayak Palve, Manisha Pareek, Neeraja M Krishnan, Gangotri Siddappa, Amritha Suresh, Moni A Kuriakose, Binay Panda

Open access · goldAbstract read
In one paragraph

Article in PeerJ, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.6field-weighted citation impact, top 33% 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

8 citing papers in PubMed, 9 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

7 authors at 2 institutions in 1 country.

Vinayak PalveGanit Labs, Bio-IT Centre, Institute of Bioinformatics and Applied Biotechnology, Bangalore, India.
Manisha PareekGanit Labs, Bio-IT Centre, Institute of Bioinformatics and Applied Biotechnology, Bangalore, India.
Neeraja M KrishnanGanit Labs, Bio-IT Centre, Institute of Bioinformatics and Applied Biotechnology, Bangalore, India.
Gangotri SiddappaHead and Neck Oncology, Mazumdar Shaw Centre for Translational Research, Bangalore, India.
Amritha SureshHead and Neck Oncology, Mazumdar Shaw Centre for Translational Research, Bangalore, India.ORCID 0000-0002-0785-0054
Moni A KuriakoseHead and Neck Oncology, Mazumdar Shaw Centre for Translational Research, Bangalore, India.
Binay PandaGanit Labs, Bio-IT Centre, Institute of Bioinformatics and Applied Biotechnology, Bangalore, India.
Institute of Bioinformatics and Applied Biotechnology · INMazumdar Shaw Medical Foundation · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Selection of the right reference gene(s) is crucial in the analysis and interpretation of gene expression data. The aim of the present study was to discover and validate a minimal set of internal control genes in head and neck tumor studies. We analyzed data from multiple sources (in house whole-genome gene expression microarrays, previously published quantitative real-time PCR (qPCR) data and RNA-seq data from TCGA) to come up with a list of 18 genes (discovery set) that had the lowest variance, a high level of expression across tumors, and their matched normal samples. The genes in the discovery set were ranked using four different algorithms (BestKeeper, geNorm, NormFinder, and comparative delta Ct) and a web-based comparative tool, RefFinder, for their stability and variance in expression across tissues. Finally, we validated their expression using qPCR in an additional set of tumor:matched normal samples that resulted in five genes (

Indexed as

Gene expressionHead and neck squamous cell carcinomaHousekeeping genesInternal control genesStable expression

Identifiers

PMID30128175
PMCPMC6097490
OpenAlexW2951933382

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.