Next-​Generation Sequencing

Next-Generation Sequencing

Whether epigenetic mechanisms are indeed playing relevant roles in the physiological or biological phenomena, can only be investigated by generating epigenetic and transcriptomic data sets linked to certain phenotypes. To this end, we employ a diverse set of methods to assess histone modifications, DNA methylation, gene expression, chromatin accessibility and transcription factor binding. We are continuously adapting existing methodologies such as CUT&Tag, ATAC-​Seq or SMART-​Seq3 to accommodate our need for low input and high throughput analysis of the same biological sample. Similarly, we are developing novel single-​cell protocols to assess the epigenome (e.g. histone modifications or DNA methylation) and transcriptome in a single cell using microfluidic technology. In parallel, we are developing computational approaches to integrate multimodal epigenetic and transcriptomic data to extract meaningful biological insights both at the bulk and single-​cell level. We are using different bioinformatics tools, statistics and machine learning to address our research questions.