Evidence map›Paper›PMID 34593877›Full record

ArticleScientific reports2021

Identification of new reference genes with stable expression patterns for gene expression studies using human cancer and normal cell lines.

Gergely Attila Rácz, Nikolett Nagy, József Tóvári, Ágota Apáti, Beáta G Vértessy

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
1.8field-weighted citation impact, top 14% 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

29 citing papers in PubMed, 46 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

5 authors at 4 institutions in 1 country.

Gergely Attila RáczDepartment of Applied Biotechnology and Food Sciences, Budapest University of Technology and Economics, Budapest, Hungary. racz.gergely@ttk.hu.
Nikolett NagyInstitute of Enzymology, Research Center for Natural Sciences, Eötvös Loránd Research Network, Budapest, Hungary.
József TóváriDepartment of Experimental Pharmacology, National Institute of Oncology, Budapest, Hungary.
Ágota ApátiInstitute of Enzymology, Research Center for Natural Sciences, Eötvös Loránd Research Network, Budapest, Hungary.
Beáta G VértessyDepartment of Applied Biotechnology and Food Sciences, Budapest University of Technology and Economics, Budapest, Hungary. vertessy@mail.bme.hu.
Hungarian Research NetworkBudapest University of Technology and Economics · HUEötvös Loránd University · HUNational Institute of Oncology · HU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Reverse transcription-quantitative real-time PCR (RT-qPCR) is a ubiquitously used method in biological research, however, finding appropriate reference genes for normalization is challenging. We aimed to identify genes characterized with low expression variability among human cancer and normal cell lines. For this purpose, we investigated the expression of 12 candidate reference genes in 13 widely used human cancer cell lines (HeLa, MCF-7, A-549, K-562, HL-60(TB), HT-29, MDA-MB-231, HCT 116, U-937, SH-SY5Y, U-251MG, MOLT-4 and RPMI-8226) and, in addition, 7 normal cell lines (HEK293, MRC-5, HUVEC/TERT2, HMEC, HFF-1, HUES 9, XCL-1). In our set of genes, we included SNW1 and CNOT4 as novel candidate reference genes based on the RNA HPA cell line gene data from The Human Protein Atlas. HNRNPL and PCBP1 were also included along with the "classical" reference genes ACTB, GAPDH, IPO8, PPIA, PUM1, RPL30, TBP and UBC. Results were evaluated using GeNorm, NormFiner, BestKeeper and the Comparative ΔCt methods. In conclusion, we propose IPO8, PUM1, HNRNPL, SNW1 and CNOT4 as stable reference genes for comparing gene expression between different cell lines. CNOT4 was also the most stable gene upon serum starvation.

Indexed as

Cell LineCell Line, TumorGene Expression ProfilingHumansReal-Time Polymerase Chain ReactionReference StandardsReproducibility of Results

Identifiers

PMID34593877
PMCPMC8484624
OpenAlexW3204291748

What OpenQuestion holds

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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.