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Reproducibility of quantitative real-time PCR assay in microRNA expression profiling and comparison with microarray analysis in narcolepsy

Overview of attention for article published in SpringerPlus, December 2015
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Title
Reproducibility of quantitative real-time PCR assay in microRNA expression profiling and comparison with microarray analysis in narcolepsy
Published in
SpringerPlus, December 2015
DOI 10.1186/s40064-015-1613-3
Pubmed ID
Authors

Zhenhua Liu, Liling Yang, Yingzi Zhao, Minglu Tang, Fumin Wang, Xiaoting Wang, Guanzhen Li, Yifeng Du

Abstract

MicroRNAs (miRNAs) have been shown in the pathogenesis of human neurological disorders. The study aims to identify the involvement of miRNAs in the pathophysiology of narcolepsy. Here, we conducted three independent high-throughput analysis of miRNA (miRNA microarray) in peripheral blood from 20 narcolepsy patients who fulfilled the criteria compared to 20 healthy controls with validation experiment using quantitative real-time polymerase chain reaction (real-time PCR) panels. By analyzing 2805 miRNAs in peripheral blood with microarray we identified 128 miRNAs (105 high expression and 23 low expression) that were different in patients with narcolepsy in comparison with healthy control. Then we chose six high expression candidates and six low expression candidates of at least twofold difference and p value < 0.05 to validate the changes in three independent experiments in vitro using real-time PCR. The validation test showed that levels of hsa-mir-1267, hsa-miR-4309, hsa-miR-554, hsa-miR-1272, hsa-miR-4501, hsa-miR-182-3p were higher, whereas the level of hsa-miR-625-5p, hsa-miR-100-5p, hsa-miR-125b-5p, hsa-miR-197-3p, hsa-miR-4522, hsa-miR-493-5p was lower in narcolepsy patients than healthy controls. The levels of 12 miRNAs differed significantly in peripheral blood from narcolepsy patients which suggested that alterations of miRNAs expression may be involved in the pathophysiology of narcolepsy.

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Geographical breakdown

Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 22%
Student > Bachelor 3 17%
Lecturer > Senior Lecturer 2 11%
Student > Doctoral Student 1 6%
Researcher 1 6%
Other 0 0%
Unknown 7 39%
Readers by discipline Count As %
Agricultural and Biological Sciences 5 28%
Medicine and Dentistry 3 17%
Neuroscience 1 6%
Biochemistry, Genetics and Molecular Biology 1 6%
Unknown 8 44%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 13 May 2022.
All research outputs
#18,428,406
of 23,662,553 outputs
Outputs from SpringerPlus
#1,217
of 1,855 outputs
Outputs of similar age
#269,870
of 393,919 outputs
Outputs of similar age from SpringerPlus
#91
of 193 outputs
Altmetric has tracked 23,662,553 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,855 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.8. This one is in the 31st percentile – i.e., 31% of its peers scored the same or lower than it.
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We're also able to compare this research output to 193 others from the same source and published within six weeks on either side of this one. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.