校庆系列讲座：Identifying Candidate Diagnostic Markers for Tuberculosis: a Critical Role of Co-expression and Pathway Analysis

报告题目： Identifying Candidate Diagnostic Markers for Tuberculosis: a Critical Role of  Co-expression and Pathway Analysis

报告人：张旭（西南大学，副教授）

时间：2018年12月1日 15:00-16:30

地点：明理楼C302B

Abstract: We conducted a systematic bioinformatics analysis to explore an important set of gene expression data with 39 samples infected at different time stages with W-Beijing families of Mycobacterium tuberculosis strains. We took a contrast on the samples at different infection time stages to characterize gene expression features of the THP1 cells to identify sensitive and specific molecular markers for diagnosis. We first confirmed, through the multidimensional scaling unsupervised clustering, that samples were clustered well according to different infection times. Building on this classification result and using the linear modelling and empirical Bayes moderation, we found 287 hits as most significant genes associated with tuberculosis. We generated a gene co-expression network map based on the mutual regulation between the differentially expressed genes. We found that 27 genes are regulatory genes associated with tuberculosis. We constructed 4 gene pathway figures to explain the pathogenicity process that involves 24 key genes. This study implicates that contrast on the gene expression of the classifications in different infection stages provides critical information for the detection of tuberculosis, and our method can be utilized to narrow down the shortlist of disease relevant genes and explore tuberculosis pathogenesis.

报告人简介：张旭，西南大学副教授，硕士生导师，2011年毕业于西南大学数学统计学院，获理学博士学位，后于英国做博士后两年，于加拿大访问一年。主要从事生物数学和生物统计学的理论研究，发表科研论文20余篇，主持国家级项目一项，省部级项目一项，主研国家级项目2项，省部级项目1项，主持校级科研项目2项，博士基金项目1项。

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举办单位：理学院 科研处 数理力学研究中心 非线性动力系统研究所