Zhongying Wang1, Dongmei Su2, Shanhe Liu1, Guiqian Zheng1, Gaobo Zhang1, Tingsong Cui1, Xu Ma3, Zhaoyi Sun4, Shanshan Hu5. 1. Department of Ophthalmology, Hongqi Hospital of Mudanjiang Medical College, Mudanjiang, 157011, Heilongjiang, China. 2. Department of Genetics, Center for Genetics, National Research Institute for Family Planning, Beijing, 100081, China. 3. Department of Genetics, Center for Genetics, National Research Institute for Family Planning, Beijing, 100081, China. jswkysgc@126.com. 4. Department of Ophthalmology, Hongqi Hospital of Mudanjiang Medical College, Mudanjiang, 157011, Heilongjiang, China. zhaoyisun77@sina.com. 5. Department of Ophthalmology, Hongqi Hospital of Mudanjiang Medical College, Mudanjiang, 157011, Heilongjiang, China. hushanshan19830219@126.com.
Abstract
BACKGROUND: Age-related cataract (ARC) is the main cause of blindness in older individuals but its specific pathogenic mechanism is unclear. This study aimed to identify differentially expressed genes (DEGs) associated with ARC and to improve our understanding of the disease mechanism. METHODS: Anterior capsule samples of the human lens were collected from ARC patients and healthy controls and used for RNA sequencing to detect DEGs. Identified DEGs underwent bioinformatics analyses, including Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses. Subsequently, reverse transcription quantitative RT-qPCR was used to validate the different expression levels of selected genes. RESULTS: A total of 698 up-regulated DEGs and 414 down-regulated DEGs were identified in ARC patients compared with controls by transcriptome analysis. Through GO and KEGG bioinformatics analysis, the functions of significantly DEGs and their possible molecular mechanisms were determined. Sequencing results were verified by RT-qPCR as being accurate and reliable. CONCLUSIONS: This study identified several genes associated with ARC, which improves our knowledge of the disease mechanism.
BACKGROUND:Age-related cataract (ARC) is the main cause of blindness in older individuals but its specific pathogenic mechanism is unclear. This study aimed to identify differentially expressed genes (DEGs) associated with ARC and to improve our understanding of the disease mechanism. METHODS: Anterior capsule samples of the human lens were collected from ARCpatients and healthy controls and used for RNA sequencing to detect DEGs. Identified DEGs underwent bioinformatics analyses, including Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses. Subsequently, reverse transcription quantitative RT-qPCR was used to validate the different expression levels of selected genes. RESULTS: A total of 698 up-regulated DEGs and 414 down-regulated DEGs were identified in ARCpatients compared with controls by transcriptome analysis. Through GO and KEGG bioinformatics analysis, the functions of significantly DEGs and their possible molecular mechanisms were determined. Sequencing results were verified by RT-qPCR as being accurate and reliable. CONCLUSIONS: This study identified several genes associated with ARC, which improves our knowledge of the disease mechanism.