Ossification of the posterior longitudinal ligament related genes identification using microarray gene expression profiling and bioinformatics analysis |
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Authors: | Hailong He Lingzhou Mao Peng Xu Yanhai Xi Ning Xu Mingtao Xue Jiangming Yu Xiaojian Ye |
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Affiliation: | 1. Department of Orthopaedics, Changzheng Hospital, The Second Military Medical University, No. 415, Fengyang Road, Huangpu District, Shanghai 200003, China;2. Orthopaedics, Shanghai Tenth People''s Hospital, Shanghai, 200072, China |
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Abstract: | Ossification of the posterior longitudinal ligament (OPLL) is a kind of disease with physical barriers and neurological disorders. The objective of this study was to explore the differentially expressed genes (DEGs) in OPLL patient ligament cells and identify the target sites for the prevention and treatment of OPLL in clinic. Gene expression data GSE5464 was downloaded from Gene Expression Omnibus; then DEGs were screened by limma package in R language, and changed functions and pathways of OPLL cells compared to normal cells were identified by DAVID (The Database for Annotation, Visualization and Integrated Discovery); finally, an interaction network of DEGs was constructed by string. A total of 1536 DEGs were screened, with 31 down-regulated and 1505 up-regulated genes. Response to wounding function and Toll-like receptor signaling pathway may involve in the development of OPLL. Genes, such as PDGFB, PRDX2 may involve in OPLL through response to wounding function. Toll-like receptor signaling pathway enriched genes such as TLR1, TLR5, and TLR7 may involve in spine cord injury in OPLL. PIK3R1 was the hub gene in the network of DEGs with the highest degree; INSR was one of the most closely related genes of it. OPLL related genes screened by microarray gene expression profiling and bioinformatics analysis may be helpful for elucidating the mechanism of OPLL. |
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Keywords: | OPLL, ossification of the posterior longitudinal ligament DEGs, differentially expressed genes DAVID, The Database for Annotation, Visualization and Integrated Discovery BMP-2, bone morphogenetic protein 2 ESR2, estrogen receptor 2 GO, Gene Ontology KEGG, Kyoto Encyclopedia Genes and Genomes BH, Benjamin and Hochberg FDR, false discovery rate FC, fold chance PDGFB, platelet-derived growth factor-B PRDX2, peroxiredoxin 2 TLR 1, Toll-like receptor 1 MAPK10, mitogen-activated protein kinases 10 PIK3R1, phosphoinositide-3-kinase, regulatory subunit 1 INSR, insulin receptor TLRs, Toll-like receptors PI3K, Phosphoinositide 3-kinase |
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