Chronic kidney disease (CKD) is an increasing global health problem. Despite the significant scientific efforts, the precise molecular underpinnings of CKD are yet to be elucidated. The complexity of a human kidney is associated with a large number of specialized cell types that are organized into functionally distinct compartments. Therefore, to address the mechanistic origins of renal disease, it is critical to establish a comprehensive cellular anatomy of the organ. The aim of this project is to generate transcriptional signatures of individual cells during pathogenesis. To that end, the prospective ESR will employ the cutting-edge single cell RNA sequencing (scRNAseq) technology coupled with a sophisticated Bioinformatics (Bio-IT) tools. He/she will design a complete workflow for scRNAseq experiments and create an efficient Bio-IT platform recognizing different cell types and highlighting significant changes in expression profiles of analyzed cells. The workflow and the platform will be then validated using Polycystic Kidney Models (PKD), which will provide insights into molecular determinants of CKD progression and treatment stratification.
- Generation of state-of-the-art bioinformatic platform for the analysis of scRNAseq CKD data;
- Validation of the BioIT platform using PKD models in collaboration with ESR10;
- Identification of molecular determinants of CKD progression and treatment stratification in collaboration with ESR9.