This study aims to screen liquid–liquid phase separation (LLPS)-related genes modulating ubiquitination for diagnosing patients with diabetic nephropathy (DN). After performing differential gene expression analysis, ssGSEA, and immune infiltration analysis, LLPS-related genes modulating ubiquitination, key immune cells, and immune-related pathways were acquired. The correlations between LLPS-related genes and ubiquitination, key immune-related pathways were explored, respectively. The diagnostic genes were identified by four machine learning algorithms, followed by evaluation to predict the performance of the machine learning models on ubiquitination using receiver operating characteristic curves and a confusion matrix.
Research article
Liquid–Liquid Phase Separation-Related STAT1 Modulating Ubiquitination Aggravates the Progression of Diabetic Nephropathy via Promoting Inflammatory Response
Song Xue, Yingkui Si, Xue Han
Abstract
