A systems genetics approach to revealing the Pdgfb molecular network of the retina

Platelet-derived growth factor (PDGF) signaling is well known to be involved in vascular retinopathies. Among the PDGF family, the subunit B (PDGFB) protein is considered a promising therapeutic target. This study aimed to identify the genes and potential pathways through which PDGFB affects retinal...

Full description

Saved in:
Bibliographic Details
Published in:Molecular vision 2020, Vol.26, p.459-471
Main Authors: Li, Shasha, Xu, Fuyi, Liu, Lin, Ju, Rong, Bergquist, Jonas, Zheng, Qing Yin, Mi, Jia, Lu, Lu, Li, Xuri, Tian, Geng
Format: Article
Language:English
Subjects:
Activating Transcription Factor 4 - genetics
Activating Transcription Factor 4 - metabolism
Animals
Databases, Genetic
Gene Expression Profiling
Gene Ontology
Gene Regulatory Networks
Hepatocyte Nuclear Factor 4 - genetics
Hepatocyte Nuclear Factor 4 - metabolism
Intraocular Pressure - genetics
Intraocular Pressure - physiology
Lymphokines - genetics
Lymphokines - metabolism
MAP Kinase Signaling System - genetics
Mice
Mice, Inbred C57BL
Oligonucleotide Array Sequence Analysis
Platelet-Derived Growth Factor - genetics
Platelet-Derived Growth Factor - metabolism
Protein Interaction Maps
Quantitative Trait Loci
Retina - metabolism
Systems Biology - methods
Vascular Endothelial Growth Factor A - genetics
Vascular Endothelial Growth Factor A - metabolism
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Platelet-derived growth factor (PDGF) signaling is well known to be involved in vascular retinopathies. Among the PDGF family, the subunit B (PDGFB) protein is considered a promising therapeutic target. This study aimed to identify the genes and potential pathways through which PDGFB affects retinal phenotypes by using a systems genetics approach. Gene expression data had been previously generated in a laboratory for the retinas of 75 C57BL/6J(B6) X DBA/2J (BXD) recombinant inbred (RI) strains. Using this data, the genetic correlation method was used to identify genes correlated to . A correlation between intraocular pressure (IOP) and was calculated based on the Pearson correlation coefficient. A gene set enrichment analysis and the STRING database were used to evaluate gene function and to construct protein-protein interaction (PPI) networks. was a -regulated gene in the retina; its expression had a significant correlation with IOP (r = 0.305; p value = 0.012). The expression levels of 2,477 genes also had significant correlations with expressions (p
ISSN:1090-0535
1090-0535