Evidence map›Paper›PMID 30241379›Full record

ArticleInternational journal of molecular sciences2018

Identification of Endogenous Control miRNAs for RT-qPCR in T-Cell Acute Lymphoblastic Leukemia.

Monika Drobna, Bronisława Szarzyńska-Zawadzka, Patrycja Daca-Roszak, Maria Kosmalska, Roman Jaksik, Michał Witt, Małgorzata Dawidowska

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2018. 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
1.7field-weighted citation impact, top 15% 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, 41 citations in OpenAlex.

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  17. Reference Genes for qPCR-Based miRNA Expression Profiling in 14 Human Tissues.Medical principles and practice : international journal of the Kuwait University, Health Science Centre · 2022
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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.

Monika DrobnaInstitute of Human Genetics, Polish Academy of Sciences, 60-479 Poznań, Poland. monika.drobna@igcz.poznan.pl.ORCID 0000-0003-1671-9071
Bronisława Szarzyńska-ZawadzkaInstitute of Human Genetics, Polish Academy of Sciences, 60-479 Poznań, Poland. bronislawa.szarzynska-zawadzka@igcz.poznan.pl.ORCID 0000-0002-2879-1671
Patrycja Daca-RoszakInstitute of Human Genetics, Polish Academy of Sciences, 60-479 Poznań, Poland. patrycja.daca-roszak@igcz.poznan.pl.
Maria KosmalskaInstitute of Human Genetics, Polish Academy of Sciences, 60-479 Poznań, Poland. maria.kosmalska@igcz.poznan.pl.ORCID 0000-0002-3951-8013
Roman JaksikDepartment, Silesian University of Technology, 44-100 Gliwice, Poland. roman.jaksik@polsl.pl.ORCID 0000-0003-1866-6380
Michał WittInstitute of Human Genetics, Polish Academy of Sciences, 60-479 Poznań, Poland. michal.witt@igcz.poznan.pl.
Małgorzata DawidowskaInstitute of Human Genetics, Polish Academy of Sciences, 60-479 Poznań, Poland. malgorzata.dawidowska@igcz.poznan.pl.ORCID 0000-0003-3486-6577
Institute of Human Genetics · PLSilesian University of Technology · PL

Funding

Narodowe Centrum Badań i Rozwoju STRATEGMED3/304586/5/NCBR/2017Narodowe Centrum Nauki 2014/15/B/NZ2/03394Narodowe Centrum Nauki 2017/24/T/NZ5/00359Narodowe Centrum Nauki 2017/25/N/NZ2/01132
6 · The paper itself

Abstract

Optimal endogenous controls enable reliable normalization of microRNA (miRNA) expression in reverse-transcription quantitative PCR (RT-qPCR). This is particularly important when miRNAs are considered as candidate diagnostic or prognostic biomarkers. Universal endogenous controls are lacking, thus candidate normalizers must be evaluated individually for each experiment. Here we present a strategy that we applied to the identification of optimal control miRNAs for RT-qPCR profiling of miRNA expression in T-cell acute lymphoblastic leukemia (T-ALL) and in normal cells of T-lineage. First, using NormFinder for an iterative analysis of miRNA stability in our miRNA-seq data, we established the number of control miRNAs to be used in RT-qPCR. Then, we identified optimal control miRNAs by a comprehensive analysis of miRNA stability in miRNA-seq data and in RT-qPCR by analysis of RT-qPCR amplification efficiency and expression across a variety of T-lineage samples and T-ALL cell line culture conditions. We then showed the utility of the combination of three miRNAs as endogenous normalizers (hsa-miR-16-5p, hsa-miR-25-3p, and hsa-let-7a-5p). These miRNAs might serve as first-line candidate endogenous controls for RT-qPCR analysis of miRNAs in different types of T-lineage samples: T-ALL patient samples, T-ALL cell lines, normal immature thymocytes, and mature T-lymphocytes. The strategy we present is universal and can be transferred to other RT-qPCR experiments.

Indexed as

Gene Expression Regulation, NeoplasticAlgorithmsCell Line, TumorHumansJurkat CellsMicroRNAsPrecursor T-Cell Lymphoblastic Leukemia-LymphomaReal-Time Polymerase Chain ReactionRNA StabilityMicroRNAscell linesendogenous controlsmiRNA (microRNA)normalization of miRNA expression in RT-qPCRreference genesT-cell acute lymphoblastic leukemia (T-ALL)tissue analysis

Identifiers

PMID30241379
PMCPMC6212946
OpenAlexW2890349999

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.