Evidence map›Paper›PMID 23641303›Full record

ArticleInternational journal of clinical and experimental medicine2013

Expression levels of microRNA machinery components Drosha, Dicer and DGCR8 in human (AGS, HepG2, and KEYSE-30) cancer cell lines.

Naser Jafari, Hadi Peeri Dogaheh, Shahab Bohlooli, Glenn G Oyong, Zohreh Shirzad, Fatemeh Alibeiki, Saeid Hosseini Asl, Seyed Jalal Zargar

Open access · greenAbstract read
In one paragraph

Article in International journal of clinical and experimental medicine, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.4field-weighted citation impact, top 20% 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

11 citing papers in PubMed, 24 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

8 authors at 1 institution in 1 country.

Naser JafariDepartment of Biochemistry, School of Medicine, Ardabil University of Medical Science Ardabil 56197, Iran ; Department of Cell & Molecular Biology, School of Biology, College of Science, University of Tehran Tehran, Iran.
Hadi Peeri Dogaheh
Shahab Bohlooli
Glenn G Oyong
Zohreh Shirzad
Fatemeh Alibeiki
Saeid Hosseini Asl
Seyed Jalal Zargar
Ardabil University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

unlabelledMicroRNAs (miRNAs) have recently been shown to play fundamental roles in diverse cellular processes and linked to variety of cancers. Dicer and Drosha are two major enzymes in the miRNA maturation process. DGCR8 is the assistant of Drosha in the microprocessor complex. In this study, we evaluated the mRNA expression profiles of major miRNA processing machinery Drosha, Dicer, and DGCR8 in human gastrointestinal (AGS, KYSE30 and HepG2) cancer cell lines. MATERIALS AND

methodsThe cells were cultured and harvested, and total cellular RNA was isolated from cells. Then, first-strand cDNA was synthesized from the RNA of cells. Afterward, Quantitative analysis was performed by real-time RT-PCR using the PowerSYBR Green PCR Master Mix.

resultsExpression levels of Drosha in AGS and HepG2 cells were higher than the controls, whereas, Drosha's expression level in KYSE-30 cell line was lower. The Dicer expression levels in AGS and HepG2 cells were higher, while, its expression level in KYSE-30 cell was lower. The DGCR8 expression levels in all three cell lines were significantly higher than the control samples.

conclusionExpression levels of the two most important enzymes of the miRNA machinery, Drosha and Dicer, and microprocessor complex component, DGCR8 were noticeably dysregulated when compared to healthy controls.

Indexed as

cancer cell lineDGCR8DicerDroshamicroRNA machinery

Identifiers

PMID23641303
PMCPMC3631551
OpenAlexW1571427930

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.