Weinan Sun1, Qing Zhu1, Lei Yan1, Fengmin Shao1. 1. Department of Nephrology, People's Hospital of Zhengzhou University, He'nan Provincial People's Hospital, He'nan Provincial Key Laboratory of Kidney Disease and Immunology, Zhengzhou 450003, China.
Abstract
BACKGROUND: The characteristics of mesenchymal stem cells (MSCs) in the repair of acute kidney injury (AKI) have been extensively studied. However, some potential molecular mechanisms remain indistinct. The aim of this study was to combine published microRNA (miRNA) transcriptional profiling with quantitative proteomic analyses to reveal specific miRNAs or genes for MSC-based therapy in AKI. METHODS: Transcriptome data containing significantly changed miRNAs in renal tissue from AKI mice treated with and without MSCs were downloaded. Proteomics resources were downloaded from a human proximal renal tubule cell line (HK-2) that served as a good in vitro model for AKI treated with MSCs. We connected the proteomics data with transcriptional records based on miRNA function. Differentially expressed genes (DEGs) were sorted. Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis was conducted, and protein-protein interaction (PPI) chains were formed. The genes identified in the analyses were verified in a cisplatin-induced AKI rat model and in HK-2 cells exposed to cisplatin and cocultured with MSCs. RESULTS: A total of 207 specific DEGs were sorted. The ribosomal pathway was identified in pathway enrichment, and ribosomal proteins were identified from the PPI network complex. The targeting of the microRNAs, miR-107 to RPS19, was directly verified by the dual-luciferase method. miR-107 knockdown induced RPS19 expression, protected HK-2 cells from cisplatin-induced apoptosis, and promoted cell proliferation. CONCLUSIONS: By analyzing comprehensive bioinformatics data, we have confirmed the DEGs and pathways in AKI treated with MSCs. Bone marrow-derived MSCs reduce miR-107 expression and increase RPS19 expression by repressing the proliferation of cisplatin-induced AKI cells and initiating apoptosis. 2019 Annals of Translational Medicine. All rights reserved.
BACKGROUND: The characteristics of mesenchymal stem cells (MSCs) in the repair of acute kidney injury (AKI) have been extensively studied. However, some potential molecular mechanisms remain indistinct. The aim of this study was to combine published microRNA (miRNA) transcriptional profiling with quantitative proteomic analyses to reveal specific miRNAs or genes for MSC-based therapy in AKI. METHODS: Transcriptome data containing significantly changed miRNAs in renal tissue from AKI mice treated with and without MSCs were downloaded. Proteomics resources were downloaded from a human proximal renal tubule cell line (HK-2) that served as a good in vitro model for AKI treated with MSCs. We connected the proteomics data with transcriptional records based on miRNA function. Differentially expressed genes (DEGs) were sorted. Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis was conducted, and protein-protein interaction (PPI) chains were formed. The genes identified in the analyses were verified in a cisplatin-induced AKI rat model and in HK-2 cells exposed to cisplatin and cocultured with MSCs. RESULTS: A total of 207 specific DEGs were sorted. The ribosomal pathway was identified in pathway enrichment, and ribosomal proteins were identified from the PPI network complex. The targeting of the microRNAs, miR-107 to RPS19, was directly verified by the dual-luciferase method. miR-107 knockdown induced RPS19 expression, protected HK-2 cells from cisplatin-induced apoptosis, and promoted cell proliferation. CONCLUSIONS: By analyzing comprehensive bioinformatics data, we have confirmed the DEGs and pathways in AKI treated with MSCs. Bone marrow-derived MSCs reduce miR-107 expression and increase RPS19 expression by repressing the proliferation of cisplatin-induced AKI cells and initiating apoptosis. 2019 Annals of Translational Medicine. All rights reserved.
Authors: Jonathan G Godwin; Xupeng Ge; Kristin Stephan; Anke Jurisch; Stefan G Tullius; John Iacomini Journal: Proc Natl Acad Sci U S A Date: 2010-07-22 Impact factor: 11.205