Evidence map›Paper›PMID 31286390›Full record

ArticleMolecular biology reports2019

Assessment of the expression level of miRNA molecules using a semi-quantitative RT-PCR approach.

Shima Andoorfar, Seyed Ali Hosseini Tafreshi, Zahra Rezvani

Abstract read
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In one paragraph

Article in Molecular biology reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.0field-weighted citation impact, top 29% 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

6 citing papers in PubMed, 17 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

3 authors at 1 institution in 1 country.

Shima AndoorfarBiotechnology Division, Department of Cell and Molecular Biology, Faculty of Chemistry, University of Kashan, Kashan, Iran.
Seyed Ali Hosseini TafreshiBiotechnology Division, Department of Cell and Molecular Biology, Faculty of Chemistry, University of Kashan, Kashan, Iran. sahosseini@kashanu.ac.ir.
Zahra RezvaniBiotechnology Division, Department of Cell and Molecular Biology, Faculty of Chemistry, University of Kashan, Kashan, Iran.
University of Kashan · IR

Funding

graduate study of Univesity of Kashan 572212/04.
6 · The paper itself

Abstract

Type 2 diabetes is one of the most prevalent diseases, which increases resistance to insulin in target tissues. The measurement of miRNAs quantity is a molecular approach for diagnosis of diabetes. miRNAs are small non-coding RNA strings of 21-23 long nucleotides that act as inhibitors in proteins translation. Several methods including Northern blot, qRT-PCR and Microarray have been used for diagnosis of miRNA molecules. Real time PCR is an expensive and accurate quantitative method that is widely used in miRNA studies. The miR-21 is an important miRNA in diabetes. In this study, for the first time, a semi-quantitative protocol was developed to quantify different amounts of a synthetic miR-21. In addition to semi-quantitative method, the miR-21 quantity was determined by quantitative method in several patients with type 2 diabetes and healthy people. The results indicated that there was a direct relationship between the amount of synthetic miR-21 and the intensity of the PCR bands. We also showed that the expression of miR-21 in people with type 2 diabetes increased compared to healthy people. The results were observed by both quantitative and semi-quantitative methods. The real-time RT-PCR was more sensitive than semi-quantitative PCR in identification of miRNAs. However, semi-quantitative PCR method benefited from higher simplicity and lower costs for defining general patterns of miRNA expression.

Indexed as

AdultAgedDiabetes Mellitus, Type 2FemaleGene Expression ProfilingHumansMaleMicroRNAsMiddle AgedOligonucleotide Array Sequence AnalysisReal-Time Polymerase Chain ReactionMicroRNAsMIRN21 microRNA, humanmiR-21Real-time RT-PCRSemi-quantitative PCRType 2 diabetes

Identifiers

PMID31286390
OpenAlexW2959412378

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.