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Abstract

Integrated Analysis of Transcriptome in Interleukin-10 Treated Peripheral Blood Cell Reveal Conservative Differential Expressed Genes

Author(s): T. Chen, J. Liu and Z. Ding*
Department of Critical Care Medicine, Quanzhou First Hospital Affiliated to Fujian Medical University, 1Department of Infectious Diseases, the First Hospital of Quanzhou Affiliated to Fujian Medical University, Quanzhou, Fujian 362000, China

Correspondence Address:
J. Liu, Department of Infectious Diseases, the First Hospital of Quanzhou Affiliated to Fujian Medical University, Quanzhou, Fujian 362000, China, E-mail: dzrqzdyyy@fjmu.edu.cn


Interleukin 10 is one of the important cytokines of immune system inflammatory response in critical diseases such as sepsis. The regulation mechanism of its signal pathway and the mining of key members can provide targets for disease diagnosis and treatment. A large number of studies have analyzed the response of interleukin 10 treated cells by means of transcriptome and identified the members of signal pathway from differentially expressed genes. However, the conditions of different studies are different, resulting in great differences in results. It is necessary to integrate and analyze the inherent differentially expressed genes. In this study, we collected 17 sets of transcriptome experimental results, all of which were analyzed in the treatment of interleukin 10 in peripheral blood cells. Through meta-analysis of 4695 gene expression in all experiments, we screened 134 genes, which were statistically significant differentially expressed genes in the random effect model (p<0.005). These genes enrich biological pathways related to immunity and wounding. Among them, the p value of tissue inhibitor of metalloproteinase 1, leupaxin, FAM20A Golgi associated secretory pathway pseudo kinase and interferon induced protein 44 is ≤9.82e-06. In 17 groups of experiments, the difference trend is relatively consistent and more experiments have detected more than twice the difference. These genes are valuable biomarkers for interleukin 10 related diseases such as sepsis. At the same time, it is a key member of the relatively more conservative interleukin 10 signaling pathway under different conditions.

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