Disease modelling by single-cell RNA sequencing (scRNAseq)
The advent of single-cell RNA sequencing (scRNAseq) and additional single-cell omics technologies have provided scientists with unprecedented tools and datasets to explore biology at the cellular resolution. However, organs are complex and heterogeneous at the cellular level, single-cell experiments are costly, and extracting the enormous amounts of available information from published datasets is often difficult for researchers with limited computational expertise. In this educational session, I will introduce interested researchers to the disease modelling by scRNAseq field, using as a reference our work on how the different human skin cell types interact in homeostasis and what ceases to work in diverse dermatological diseases. The aims of this talk are to summarize the benefits and limitations of single-cell analysis, help the audience benefit from emerging insights from these novel techniques, and ultimately help accelerate translation of basic knowledge into novel diagnostic and therapeutic developments.