Journal: Scientific Reports
Article Title: A bioinformatics-driven approach to identify biomarkers and elucidate the pathogenesis of type 2 diabetes concurrent with pulmonary tuberculosis
doi: 10.1038/s41598-025-00928-0
Figure Lengend Snippet: Comparative bioinformatic analyses of immune cell enrichment in the PTB + T2DM and HC groups. ( A - B ) Enrichment scores of 22 distinct immune cell types in the two groups (PTB with T2DM vs. Healthy control and PTB with T2DM vs. T2DM group). ( C ) Correlation analysis between six key genes in PTB + T2DM and various immune cell types. ( D ) PCA was performed using the PCA expression plot feature in RStudio, data dimensionality of the data set was reduced, allowing the creation of a two-dimensional scatter plot for an initial sample distribution assessment. ( E ) Spearman’s correlation analysis of C1QA and LINC00278 expression with M2 macrophages. The values on the x-axis represent the relative enrichment level of M2 macrophages, and the values on the y-axis represent the expression levels of C1QA and LINC00278.
Article Snippet: Healthy control and PTB with T2DM vs. T2DM group). ( C ) Correlation analysis between six key genes in PTB + T2DM and various immune cell types. ( D ) PCA was performed using the PCA expression plot feature in RStudio, data dimensionality of the data set was reduced, allowing the creation of a two-dimensional scatter plot for an initial sample distribution assessment. ( E ) Spearman’s correlation analysis of C1QA and LINC00278 expression with M2 macrophages.
Techniques: Control, Expressing