Evidence map›Paper›PMID 27754318›Full record

ArticleInternational journal of molecular sciences2016

Selection of Suitable Reference Genes for Analysis of Salivary Transcriptome in Non-Syndromic Autistic Male Children.

Yasin Panahi, Fahimeh Salasar Moghaddam, Zahra Ghasemi, Mandana Hadi Jafari, Reza Shervin Badv, Mohamad Reza Eskandari, Mehrdad Pedram

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.5field-weighted citation impact, top 28% 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

3 citing papers in PubMed, 12 citations in OpenAlex.

  1. Sexual Dimorphism in Telomere Length in Childhood Autism.Journal of autism and developmental disorders · 2023
    Article
  2. Article
  3. Article
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 3 institutions in 2 countries.

Yasin PanahiDepartment of Genetics and Molecular Medicine, School of Medicine, Zanjan University of Medical Sciences (ZUMS), Zanjan 45139-56111, Iran. panahi.y@zums.ac.ir.
Fahimeh Salasar MoghaddamDepartment of Medical Biotechnology, School of Medicine, Zanjan University of Medical Sciences (ZUMS), Zanjan 45139-56111, Iran. f.moghaddam91@gmail.com.
Zahra GhasemiDepartment of Medical Biotechnology, School of Medicine, Zanjan University of Medical Sciences (ZUMS), Zanjan 45139-56111, Iran. zahra.ghasemi77@gmail.com.
Mandana Hadi JafariDepartment of Genetics and Molecular Medicine, School of Medicine, Zanjan University of Medical Sciences (ZUMS), Zanjan 45139-56111, Iran. mandana.hj@gmail.com.
Reza Shervin BadvDepartment of Pediatric Neurology, School of Medicine, Tehran University of Medical Sciences (TUMS), Tehran 14176-13151, Iran. badv@sina.tums.ac.ir.
Mohamad Reza EskandariMetrowest CNS Research Center, Natick, MA 01760, USA. dr.eskandari@gmail.com.
Mehrdad PedramDepartment of Genetics and Molecular Medicine, School of Medicine, Zanjan University of Medical Sciences (ZUMS), Zanjan 45139-56111, Iran. mpedram@zums.ac.ir.
Zanjan University of Medical Sciences · IRCNS Research (United States) · USTehran University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Childhood autism is a severe form of complex genetically heterogeneous and behaviorally defined set of neurodevelopmental diseases, collectively termed as autism spectrum disorders (ASD). Reverse transcriptase quantitative real-time PCR (RT-qPCR) is a highly sensitive technique for transcriptome analysis, and it has been frequently used in ASD gene expression studies. However, normalization to stably expressed reference gene(s) is necessary to validate any alteration reported at the mRNA level for target genes. The main goal of the present study was to find the most stable reference genes in the salivary transcriptome for RT-qPCR analysis in non-syndromic male childhood autism. Saliva samples were obtained from nine drug naïve non-syndromic male children with autism and also sex-, age-, and location-matched healthy controls using the RNA-stabilizer kit from DNA Genotek. A systematic two-phased measurement of whole saliva mRNA levels for eight common housekeeping genes (HKGs) was carried out by RT-qPCR, and the stability of expression for each candidate gene was analyzed using two specialized algorithms, geNorm and NormFinder, in parallel. Our analysis shows that while the frequently used HKG

Indexed as

Autistic DisorderGene Expression ProfilingGene Expression RegulationHumansMaleReal-Time Polymerase Chain ReactionRNA, Ribosomal, 18SSalivaTranscriptomeRNA, Ribosomal, 18Schildhood autismgeNormhousekeeping genes (HKGs)non-syndromicNormFinderreference genereverse transcriptase quantitative real-time PCR (RT-qPCR)salivastability of expressiontranscriptome

Identifiers

PMID27754318
PMCPMC5085743
OpenAlexW2530880954

What OpenQuestion holds

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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.