Identification of pathological transcription in autosomal dominant polycystic kidney disease epithelia.

Autor:	Friedrich S; Renal Division, Department of Medicine, Medical Center, Faculty of Medicine, University of Freiburg, Hugstetterstrasse 55, 79106, Freiburg, Germany.; Department of General Pediatrics, Adolescent Medicine and Neonatology, Center for Pediatrics, Medical Center, Faculty of Medicine, University of Freiburg, Mathildenstrasse 1, 79106, Freiburg, Germany., Müller H; Renal Division, Department of Medicine, Medical Center, Faculty of Medicine, University of Freiburg, Hugstetterstrasse 55, 79106, Freiburg, Germany., Riesterer C; Renal Division, Department of Medicine, Medical Center, Faculty of Medicine, University of Freiburg, Hugstetterstrasse 55, 79106, Freiburg, Germany., Schüller H; Renal Division, Department of Medicine, Medical Center, Faculty of Medicine, University of Freiburg, Hugstetterstrasse 55, 79106, Freiburg, Germany., Friedrich K; Renal Division, Department of Medicine, Medical Center, Faculty of Medicine, University of Freiburg, Hugstetterstrasse 55, 79106, Freiburg, Germany., Wörner CL; Renal Division, Department of Medicine, Medical Center, Faculty of Medicine, University of Freiburg, Hugstetterstrasse 55, 79106, Freiburg, Germany., Busch T; Renal Division, Department of Medicine, Medical Center, Faculty of Medicine, University of Freiburg, Hugstetterstrasse 55, 79106, Freiburg, Germany., Viau A; Imagine Institute, Laboratory of Hereditary Kidney Diseases, INSERM UMR 1163, Université de Paris, 75015, Paris, France., Kuehn EW; Renal Division, Department of Medicine, Medical Center, Faculty of Medicine, University of Freiburg, Hugstetterstrasse 55, 79106, Freiburg, Germany.; CIBSS - Centre for Integrative Biological Signalling Studies, Freiburg, Germany., Köttgen M; Renal Division, Department of Medicine, Medical Center, Faculty of Medicine, University of Freiburg, Hugstetterstrasse 55, 79106, Freiburg, Germany. michael.koettgen@uniklinik-freiburg.de.; CIBSS - Centre for Integrative Biological Signalling Studies, Freiburg, Germany. michael.koettgen@uniklinik-freiburg.de., Hofherr A; Renal Division, Department of Medicine, Medical Center, Faculty of Medicine, University of Freiburg, Hugstetterstrasse 55, 79106, Freiburg, Germany. alexis.hofherr@uniklinik-freiburg.de.
Jazyk:	angličtina
Zdroj:	Scientific reports [Sci Rep] 2021 Jul 23; Vol. 11 (1), pp. 15139. Date of Electronic Publication: 2021 Jul 23.
DOI:	10.1038/s41598-021-94442-8
Abstrakt:	Autosomal dominant polycystic kidney disease (ADPKD) affects more than 12 million people worldwide. Mutations in PKD1 and PKD2 cause cyst formation through unknown mechanisms. To unravel the pathogenic mechanisms in ADPKD, multiple studies have investigated transcriptional mis-regulation in cystic kidneys from patients and mouse models, and numerous dysregulated genes and pathways have been described. Yet, the concordance between studies has been rather limited. Furthermore, the cellular and genetic diversity in cystic kidneys has hampered the identification of mis-expressed genes in kidney epithelial cells with homozygous PKD mutations, which are critical to identify polycystin-dependent pathways. Here we performed transcriptomic analyses of Pkd1- and Pkd2-deficient mIMCD3 kidney epithelial cells followed by a meta-analysis to integrate all published ADPKD transcriptomic data sets. Based on the hypothesis that Pkd1 and Pkd2 operate in a common pathway, we first determined transcripts that are differentially regulated by both genes. RNA sequencing of genome-edited ADPKD kidney epithelial cells identified 178 genes that are concordantly regulated by Pkd1 and Pkd2. Subsequent integration of existing transcriptomic studies confirmed 31 previously described genes and identified 61 novel genes regulated by Pkd1 and Pkd2. Cluster analyses then linked Pkd1 and Pkd2 to mRNA splicing, specific factors of epithelial mesenchymal transition, post-translational protein modification and epithelial cell differentiation, including CD34, CDH2, CSF2RA, DLX5, HOXC9, PIK3R1, PLCB1 and TLR6. Taken together, this model-based integrative analysis of transcriptomic alterations in ADPKD annotated a conserved core transcriptomic profile and identified novel candidate genes for further experimental studies. (© 2021. The Author(s).)
Databáze:	MEDLINE
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