• Clinics · Jan 2024

    Identification of differentially expressed genes, pathways, and immune infiltration in diabetes.

    • Ying Liang, ShuXiang Wei, Xing Peng, QiLing Feng, LingLing Li, DieFei Liang, HongShi Wu, XiaoYun Zhang, ChuLin Huang, and YongQing Lin.
    • Department of Endocrinology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou City, Guangdong Province, China.
    • Clinics (Sao Paulo). 2024 Jan 1; 79: 100436100436.

    AbstractThis study aimed to perform exhaustive bioinformatic analysis by using GSE29221 micro-array maps obtained from healthy controls and Type 2 Diabetes (T2DM) patients. Raw data are downloaded from the Gene Expression Omnibus database and processed by the limma package in R software to identify Differentially Expressed Genes (DEGs). Gene ontology functional analysis and Kyoto Gene Encyclopedia and Genome Pathway analysis are performed to determine the biological functions and pathways of DEGs. A protein interaction network is constructed using the STRING database and Cytoscape software to identify key genes. Finally, immune infiltration analysis is performed using the Cibersort method. This study has implications for understanding the underlying molecular mechanism of T2DM and provides potential targets for further research.Copyright © 2024 HCFMUSP. Published by Elsevier España, S.L.U. All rights reserved.

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