↓ Skip to main content

Bioinformatic Analysis of Genes and MicroRNAs Associated With Atrioventricular Septal Defect in Down Syndrome Patients

Overview of attention for article published in International Heart Journal, July 2016
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
2 X users

Citations

dimensions_citation
19 Dimensions

Readers on

mendeley
38 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Bioinformatic Analysis of Genes and MicroRNAs Associated With Atrioventricular Septal Defect in Down Syndrome Patients
Published in
International Heart Journal, July 2016
DOI 10.1536/ihj.15-319
Pubmed ID
Authors

Lei Wang, Zhifei Li, Xiaobo Song, Li Liu, Guohai Su, Ying Cui

Abstract

Down syndrome (DS) is a common chromosome 21 abnormality disease, leading to various health problems, especially atrioventricular septal defect (AVSD). Genes and microRNAs (miRNAs) associated with AVSD in DS patients still need in-depth study.Gene expression data (GSE34457) of 22 DS patients without congenital heart disease and 7 DS patients with AVSD were downloaded from Gene Expression Omnibus. After screening differentially expressed genes (DEGs) based on limma package in R (criteria: P < 0.05 and |log2 fold change (FC)| > 0.5), pathway and functional enrichment analyses were performed using the online software DAVID (criterion: P < 0.05). The protein-protein interaction (PPI) networks of DEGs were constructed based on the online server STRING (criterion: combined score > 0.4). Next, miRNAs that targeted DEGs were predicted based on Webgestalt (criteria: P < 0.05 and target DEGs ≥ 2), and miRNA-DEG regulatory networks were visualized through Cytoscape.A total of 179 DEGs were identified. Next, 5 functions and 1 pathway were enriched by up-regulated DEGs, while 4 functions were enriched by down-regulated DEGs. Furthermore, miRNA-DEG regulatory networks were constructed. IL1B was the hub-gene of PPI networks, and AUTS2 and KIAA2022 were predicted to be targeted by miR-518a, miR518e, miR-518f, miR-528a, and miR-96.IL1B, IL12RB2, AUTS2, and KIAA2022 might participate in AVSD in DS patients, and AUTS2 and KIAA2022 might be targeted by miR-518a, miR-518e, miR-518f, miR-528a, and miR-96. The identified genes and miRNAs might provide a theoretical basis for understanding AVSD in DS patients.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 38 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 18%
Student > Master 6 16%
Student > Bachelor 6 16%
Professor 3 8%
Student > Ph. D. Student 2 5%
Other 7 18%
Unknown 7 18%
Readers by discipline Count As %
Medicine and Dentistry 10 26%
Biochemistry, Genetics and Molecular Biology 8 21%
Agricultural and Biological Sciences 3 8%
Pharmacology, Toxicology and Pharmaceutical Science 1 3%
Unspecified 1 3%
Other 4 11%
Unknown 11 29%
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 July 2016.
All research outputs
#20,655,488
of 25,373,627 outputs
Outputs from International Heart Journal
#434
of 713 outputs
Outputs of similar age
#287,224
of 370,004 outputs
Outputs of similar age from International Heart Journal
#2
of 8 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 713 research outputs from this source. They receive a mean Attention Score of 2.4. This one is in the 24th percentile – i.e., 24% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 370,004 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than 6 of them.