The Journal of Gene Medicine · 2024 · 22 citations · 37 references
MedicineMolecular BiologyNephrologyGene ExpressionRenal PathophysiologyTranscriptomicsHereditary Kidney DiseasesHereditary Renal DiseasesMicrorna BiogenesisMicrorna BiologyRenal Cystic DiseasesRenal DiseaseExtracellular Vesicle Rna AnalysisExtracellular VesiclesKidney DiseasesMicrorna ProfilingRenal Biomarker DiscoveryRna SequencingRna Sequencing (Rna-seq)Small Rna Sequencing
BACKGROUND: Autosomal dominant polycystic kidney disease (ADPKD) is the most prevalent monogenic renal disease progressing to end-stage renal disease. There is a pressing need for the identification of early ADPKD biomarkers to enable timely intervention and the development of effective therapeutic approaches. Here, we profiled human urinary extracellular vesicles small RNAs by small RNA sequencing in patients with ADPKD and compared their differential expression considering healthy control individuals to identify dysregulated small RNAs and analyze downstream interaction to gain insight about molecular pathophysiology. METHODS: This is a cross-sectional study where urine samples were collected from a total of 23 PKD1-ADPKD patients and 28 healthy individuals. Urinary extracellular vesicles were purified, and small RNA was isolated and sequenced. Differentially expressed Small RNA were identified and functional enrichment analysis of the critical miRNAs was performed to identify driver genes and affected pathways. RESULTS: miR-320b, miR-320c, miR-146a-5p, miR-199b-3p, miR-671-5p, miR-1246, miR-8485, miR-3656, has_piR_020497, has_piR_020496 and has_piR_016271 were significantly upregulated in ADPKD patient urine extracellular vesicles and miRNA-29c was significantly downregulated. Five 'driver' target genes (FBRS, EDC3, FMNL3, CTNNBIP1 and KMT2A) were identified. CONCLUSIONS: The findings of the present study make significant contributions to the understanding of ADPKD pathogenesis and to the identification of novel biomarkers and potential drug targets aimed at slowing disease progression in ADPKD.
37
Cytoscape: A Software Environment for Integrated Models of Biomolecular Interaction Networks
Paul Shannon, Andrew Markiel, Owen Ozier et al. · Genome Research · 2003 · 54.3K citations · Full text
cytoHubba: identifying hub objects and sub-networks from complex interactome
Chia-Hao Chin, Shu-Hwa Chen, Hsin-Hung Wu et al. · BMC Systems Biology · 2014 · 6.8K citations · Full text