An examination of the regulatory mechanism of Pxdn mutation-induced eye disorders using microarray analysis

Yang,Yang; Xing,Yiqiao; Liang,Chaoqun; Hu,Liya; Xu,Fei; Mei,Qi

doi:10.3892/ijmm.2016.2572

An examination of the regulatory mechanism of Pxdn mutation-induced eye disorders using microarray analysis

Authors:
- Yang Yang
- Yiqiao Xing
- Chaoqun Liang
- Liya Hu
- Fei Xu
- Qi Mei
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Affiliations: Department of Ophthalmology, Renmin Hospital of Wuhan University, Wuhan, Hubei 430060, P.R. China, Department of Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, P.R. China
Published online on: April 20, 2016 https://doi.org/10.3892/ijmm.2016.2572
Pages: 1449-1456
Copyright: © Yang et al. This is an open access article distributed under the terms of Creative Commons Attribution License.

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Abstract

The present study aimed to identify biomarkers for peroxidasin (Pxdn) mutation-induced eye disorders and study the underlying mechanisms involved in this process. The microarray dataset GSE49704 was used, which encompasses 4 mouse samples from embryos with Pxdn mutation and 4 samples from normal tissues. After data preprocessing, the differentially expressed genes (DEGs) between Pxdn mutation and normal tissues were identified using the t-test in the limma package, followed by functional enrichment analysis. The protein-protein interaction (PPI) network was constructed based on the STRING database, and the transcriptional regulatory (TR) network was established using the GeneCodis database. Subsequently, the overlapping DEGs with high degrees in two networks were identified, as well as the sub-network extracted from the TR network. In total, 121 (75 upregulated and 46 downregulated) DEGs were identified, and these DEGs play important roles in biological processes (BPs), including neuron development and differentiation. A PPI network containing 25 nodes such as actin, alpha 1, skeletal muscle (Acta1) and troponin C type 2 (fast) (Tnnc2), and a TR network including 120 nodes were built. By comparing the two networks, seven crucial genes which overlapped were identified, including cyclin‑dependent kinase inhibitor 1B (Cdkn1b), Acta1 and troponin T type 3 (Tnnt3). In the sub-network, Cdkn1b was predicted as the target of miRNAs such as mmu-miR-24 and transcription factors (TFs) including forkhead box O4 (FOXO4) and activating enhancer binding protein 4 (AP4). Thus, we suggest that seven crucial genes, including Cdkn1b, Acta1 and Tnnt3, play important roles in the progression of eye disorders such as glaucoma. We suggest that Cdkn1b exert its effects via the inhibition of proliferation and is mediated by mmu-miR-24 and targeted by the TFs FOXO4 and AP4.

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