Literature DB >> 31024802

Identification of pathogenic genes of pterygium based on the Gene Expression Omnibus database.

Xiao-Li Yue1, Zi-Qing Gao1.   

Abstract

AIM: To identify the pathogenic genes in pterygium.
METHODS: We obtained mRNA expression profiles from the Gene Expression Omnibus database (GEO) to identify differentially expressed genes (DEGs) between pterygium tissues and normal conjunctiva tissues. The Gene Ontology, Kyoto Encyclopedia of Genes and Genomes pathway analysis, protein-protein interaction (PPI) network and transcription factors (TFs)-target gene regulatory network was performed to understand the function of DEGs. The expression of selected DEGs were validated by the quantitative real-time polymerase chain reaction (qRT-PCR).
RESULTS: A total of 557 DEGs were identified between pterygium and normal individual. In PPI network, several genes were with high degrees such as FN1, KPNB1, DDB1, NF2 and BUB3. SSH1, PRSS23, LRP5L, MEOX1, RBM14, ABCA1, JOSD1, KRT6A and UPK1B were the most downstream genes regulated by TFs. qRT-PCR results showed that FN1, PRSS23, ABCA1, KRT6A, ECT2 and SPARC were significantly up-regulated in pterygium and MEOX1 and MMP3 were also up-regulated with no significance, which was consistent with the our integrated analysis.
CONCLUSION: The deregulated genes might be involved in the pathology of pterygium and could be used as treatment targets for pterygium.

Entities:  

Keywords:  gene expression; pathogenesis; protein-protein interaction network; pterygium

Year:  2019        PMID: 31024802      PMCID: PMC6469547          DOI: 10.18240/ijo.2019.04.01

Source DB:  PubMed          Journal:  Int J Ophthalmol        ISSN: 2222-3959            Impact factor:   1.779


  6 in total

Review 1.  Pterygium: an update on pathophysiology, clinical features, and management.

Authors:  Toktam Shahraki; Amir Arabi; Sepehr Feizi
Journal:  Ther Adv Ophthalmol       Date:  2021-05-31

2.  Lack of HPV in pterygium with no evidence of autoinoculation and the role of cytokines in pterygium with dry eye.

Authors:  Lita Uthaithammarat; Ngamjit Kasetsuwan; Yuda Chongpison; Pimpetch Kasetsuwan; Usanee Reinprayoon; Pornjarim Nilyanimit; Yong Poovorawan
Journal:  Sci Rep       Date:  2021-02-02       Impact factor: 4.379

3.  Comparative Transcriptomic Analysis to Identify the Important Coding and Non-coding RNAs Involved in the Pathogenesis of Pterygium.

Authors:  Xin Liu; Jing Zhang; Danyao Nie; Kun Zeng; Huiling Hu; Jinjun Tie; Liangnan Sun; Ling Peng; Xinhua Liu; Jiantao Wang
Journal:  Front Genet       Date:  2021-03-15       Impact factor: 4.599

4.  Transcriptome Analysis of Pterygium and Pinguecula Reveals Evidence of Genomic Instability Associated with Chronic Inflammation.

Authors:  María Fernanda Suarez; José Echenique; Juan Manuel López; Esteban Medina; Mariano Irós; Horacio M Serra; M Elizabeth Fini
Journal:  Int J Mol Sci       Date:  2021-11-08       Impact factor: 5.923

5.  A Novel System for Measuring Pterygium's Progress Using Deep Learning.

Authors:  Cheng Wan; Yiwei Shao; Chenghu Wang; Jiaona Jing; Weihua Yang
Journal:  Front Med (Lausanne)       Date:  2022-02-14

6.  The novel mutation P36R in LRP5L contributes to congenital membranous cataract via inhibition of laminin γ1 and c-MAF.

Authors:  Liyao Sun; Fanqian Song; Hanruo Liu; Chao Wang; Xianling Tang; Zhijian Li; Hongyan Ge; Ping Liu
Journal:  Graefes Arch Clin Exp Ophthalmol       Date:  2020-08-13       Impact factor: 3.117

  6 in total

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