The kidney is a complex organ that consists of many different cell types, each with different functions and specific expression patterns. In many kidney diseases, specific renal cells undergo major transcriptional changes that drive the disease progression. However, research on these transcriptional changes in renal disease has been challenging, as modifications in sub-populations of renal epithelial cells do not necessarily translate in changes at the whole-organ level.
By the rapid revolution of next-generation sequencing techniques, it has become possible to perform reliable and quantitative single-cell RNA-sequencing. As a result, transcriptional regulation at the level an individual cell level can be measured to detect changes in renal cell populations and to identify new cell types. Single-cell studies are shown to be of clinical interest, predicting the outcome of an infection or drug resistance. Single-cell RNA-sequencing is set to change our understanding of kidney disease, since the heterogeneity inside the kidney can now be described with unprecedented resolution.
This project aims to identify the transcriptional mechanisms that cause disturbances in electrolyte transport and renal cyst formation using single-cell RNA sequencing and state-of-the-art bioinformatic data-integration.Tasks and responsibilities
- Design and perform scientific research in the area of molecular biology, cell biology and bioinformatics.
- Generates and analyses the data in order to contribute to scientific publications and presents findings at scientific meetings.
- Works in a team with other students and scientists to discuss, plans and performs research in a stimulating environment.