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Identification of potential candidate genes for hypertensive nephropathy based on gene expression profile

Overview of attention for article published in BMC Nephrology, October 2016
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Title
Identification of potential candidate genes for hypertensive nephropathy based on gene expression profile
Published in
BMC Nephrology, October 2016
DOI 10.1186/s12882-016-0366-8
Pubmed ID
Authors

Zhi Chen, Hao Wu, Guohua Wang, Ye Feng

Abstract

This study was aimed to explore the molecular mechanisms of hypertensive nephropathy (HTN). Gene expression profile of GSE37460, which based on 27 healthy living donor samples (HTN group) and 15 hypertensive nephropathy samples (control group), were downloaded from Gene Expression Omnibus (GEO) database. The differentially expressed genes (DEGs) between two groups were identified. STRING database was used to reveal protein-protein interaction (PPI) network of DEGs, followed by the functional enrichment analysis of the PPI network. Additionally, miRNA-DEG regulatory network was constructed to reveal the validated miRNAs targeting the DEGs. In total, 51 up-regulated genes and 140 down-regulated genes were obtained. In the PPI network, cytochrome P450 3A4 (CYP3A4) and angiotensin II receptor type 1 (AGTR1) had a higher degree, and CYP3A4 interacted with CYP4A11. The DEGs in the network were significantly enriched in drug metabolism, focal adhesion and arachidonic acid metabolism. Furthermore, in the miRNA-DEG regulatory network, hsa-miR-335-5p and hsa-miR-26b-5p were the two most outstanding miRNAs. AGTR1, CYP3A4 and CYP4A11 were predicted to be regulated by hsa-miR-26b-5p. The DEGs, such as AGTR1, CYP3A4 and CYP4A11 may play critical roles in the development of HTN likely via the regulation by hsa-miR-26b-5p and taking part in some pathways.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 21%
Professor > Associate Professor 3 21%
Other 2 14%
Student > Bachelor 2 14%
Student > Ph. D. Student 1 7%
Other 1 7%
Unknown 2 14%
Readers by discipline Count As %
Medicine and Dentistry 7 50%
Biochemistry, Genetics and Molecular Biology 4 29%
Agricultural and Biological Sciences 1 7%
Unknown 2 14%
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 28 October 2016.
All research outputs
#18,478,448
of 22,896,955 outputs
Outputs from BMC Nephrology
#1,884
of 2,481 outputs
Outputs of similar age
#239,297
of 316,303 outputs
Outputs of similar age from BMC Nephrology
#29
of 43 outputs
Altmetric has tracked 22,896,955 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,481 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 11th percentile – i.e., 11% of its peers scored the same or lower than it.
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We're also able to compare this research output to 43 others from the same source and published within six weeks on either side of this one. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.