Project description:The rat sub-total nephrectomy (SNx) is a functional model of chronic kidney disease (CKD), where the main pathological driver is glomerular hypertension. Comprehensive transcriptomics and proteomics analyses on the rat SNx model were performed to identify biomarkers in plasma or urine that correlate with kidney disease and functional kidney loss. SWATH proteomics and bulk RNA-sequencing transcriptomics (RNA-seq), with SWATH also performed on plasma and urine. Differential expression analysis demonstrated significant dysregulation of genes and proteins involved in fibrosis, metabolism, and immune response in the SNx rats compared to controls. Gene ontology analysis of the intersecting genes and proteins from both studies demonstrated common biology between animal cohorts that reached the predefined kidney disease thresholds (serum creatinine >2-fold or proteinuria >3-fold increase over sham-operated). About a dozen significantly differential molecules were detected with consistent directional changes in both transcriptomics and proteomics datasets. These molecules were detected independently in kidney (both RNA and protein) and urine (protein only), but not in plasma. The bioinformatics analysis enabled the identification of mechanistic CKD biomarkers whose co-expression have previously been both implicated in fibrosis and detected in urine in CKD patients.
Project description:As part of the PhenoGen Project (https://phenogen.org), kidney RNA-Seq data has been collected from the HXB/BXH recombinant inbred rat panel, which is part of the Hybrid Rat Diversity Panel (HRDP). RNA expression levels were estimated using high throughput RNA sequencing (RNA-Seq) on long (>200 nucleotides) RNAs, i.e., total RNA where ribosomal RNA was depleted. These data can be used to examine predisposition phenotypes in the HRDP. Processed data and interactive graphics are also available through the PhenoGen website.
Project description:Next generation sequencing in a rat model of diabetic nephropathy was employed to study in depth the pathogenic alterations involved in progressive diabetic kidney damage. We employed the obese, diabetic ZS rat, a model that develops renal failure and fibrosis, the hallmarks of human disease. We then used RNA-seq to examine in a comprehensive manner the combined effects of renal cells and infiltrating inflammatory cells acting as a pathophysiological unit.
Project description:Despite recent advances in genomics, the identification of genes underlying complex diseases remains challenging. Inbred rat strains offer well-established experimental models to support the identification of susceptibility genes for diseases such as kidney damage associated with elevated blood pressure or hypertension. Here, we combined quantitative trait locus (QTL) mapping in two contrasting inbred rat strains with targeted next generation sequencing (NGS), compartment-specific transcriptome sequencing (RNA-Seq), and phenotype directed follow-up translational analysis.
Project description:The first GSSM of V. vinifera was reconstructed (MODEL2408120001). Tissue-specific models for stem, leaf, and berry of the Cabernet Sauvignon cultivar were generated from the original model, through the integration of RNA-Seq data. These models have been merged into diel multi-tissue models to study the interactions between tissues at light and dark phases.
