Evidence map›Paper›PMID 28182697›Full record

ArticlePloS one2017

Identification of reference genes for qPCR analysis during hASC long culture maintenance.

Silvia Palombella, Cristina Pirrone, Mario Cherubino, Luigi Valdatta, Giovanni Bernardini, Rosalba Gornati

Abstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

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  18. Multiple gene expression profiling suggests epithelial dysfunction in polypoid chronic rhinosinusitis.Acta otorhinolaryngologica Italica : organo ufficiale della Societa italiana di otorinolaringologia e chirurgia cervico-facciale · 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

6 authors.

Silvia PalombellaDepartment of Biotechnology and Life Sciences, University of Insubria, Varese, Italy.
Cristina PirroneDepartment of Biotechnology and Life Sciences, University of Insubria, Varese, Italy.
Mario CherubinoDepartment of Biotechnology and Life Sciences, University of Insubria, Varese, Italy.
Luigi ValdattaDepartment of Biotechnology and Life Sciences, University of Insubria, Varese, Italy.
Giovanni BernardiniDepartment of Biotechnology and Life Sciences, University of Insubria, Varese, Italy.
Rosalba GornatiDepartment of Biotechnology and Life Sciences, University of Insubria, Varese, Italy.ORCID http://orcid.org/0000-0002-1544-2122

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Up to now quantitative PCR based assay is the most common method for characterizing or confirming gene expression patterns and comparing mRNA levels in different sample populations. Since this technique is relative easy and low cost compared to other methods of characterization, e.g. flow cytometry, we used it to typify human adipose-derived stem cells (hASCs). hASCs possess several characteristics that make them attractive for scientific research and clinical applications. Accurate normalization of gene expression relies on good selection of reference genes and the best way to choose them appropriately is to follow the common rule of the "Best 3", at least three reference genes, three different validation software and three sample replicates. Analysis was performed on hASCs cultivated until the eleventh cell confluence using twelve candidate reference genes, initially selected from literature, whose stability was evaluated by the algorithms NormFinder, BestKeeper, RefFinder and IdealRef, a home-made version of GeNorm. The best gene panel (RPL13A, RPS18, GAPDH, B2M, PPIA and ACTB), determined in one patient by IdealRef calculation, was then investigated in other four donors. Although patients demonstrated a certain gene expression variability, we can assert that ACTB is the most unreliable gene whereas ribosomal proteins (RPL13A and RPS18) show minor inconstancy in their mRNA expression. This work underlines the importance of validating reference genes before conducting each experiment and proposes a free software as alternative to those existing.

Indexed as

ActinsAdipose TissueAdultCell Culture TechniquesCells, CulturedFemaleHumansMesenchymal Stem CellsMiddle AgedReal-Time Polymerase Chain ReactionReference StandardsRNA, MessengerActinsRNA, Messenger

Identifiers

PMID28182697
PMCPMC5300122

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.