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Updated: Sep 28, 2026

Induction and Analysis of Epithelial to Mesenchymal Transition
Published on: August 27, 2013
In silico analysis highlights elevation of epithelial-to-mesenchymal transition characteristics in non-responding
Hyunsik Kim1, Kyu-Hye Chun2, Ho-Geun Yoon1
1Department of Biochemistry and Molecular Biology, Severance Medical Research Institute, Graduate School of Medical Science, Brain Korea 21 Project, Yonsei University College of Medicine, Seoul, Korea.
Abstract:
ObjectiveLupus nephritis (LN) is a common complication in a significant proportion of systemic lupus erythematosus (SLE) patients. As a chronic autoimmune disease, LN leads to renal failure, substantially impacting patient quality of life and mortality rates. Current LN treatments primarily involve traditional immunosuppressants, such as azathioprine and mycophenolate mofetil (MMF). However, a subset of patients exhibits poor responsiveness to these therapies.MethodsTo identify genes specifically upregulated in this non-responder group, we analyzed RNA-sequencing data from the tubulointerstitial regions of LN patients and single-cell RNA-sequencing data from non-response LN patients, using datasets obtained from public databases. ResultsThis analysis revealed an increased epithelial-to-mesenchymal transition (EMT) signature in the LN patients, and identified COL3A1, TNC, and PDGFRA as commonly upregulated genes in both general LN patients and non-responder LN patients. Further validation using single-cell RNA-sequencing confirmed that these genes are predominantly expressed in renal tubular epithelial cells. Furthermore, analysis of three additional independent LN datasets confirmed that COL3A1, TNC, and PDGFRA were significantly upregulated in the tubulointerstitial regions of other LN patient cohorts. ConclusionThis study suggests that the non-responder group may exhibit enhanced EMT features, particularly involving the upregulation of COL3A1, TNC, and PDGFRA in the tubulointerstitial region. Therefore, these findings may aid in identifying potential biomarkers for difficult-to-treat patients and offer valuable insights into possible therapeutic targets for LN management.

