Transcriptional Regulation and Single-Cell Systems Genomics

We are interested in the fundamental process of cell fate specification during mammalian development and differentiation at single-cell level. The group aims to understand general paradigms of cell state and fate specification, with a particular interest in transcriptional and epigenetic regulatory networks, and their crosstalk with cell cycle, metabolism and fundamental cellular processes.

We have a strong interdisciplinary foundation and combine wet-lab experiments with theoretical models and computational approaches at single-cell and bulk level to uncover principles governing cell fate decisions, and their consequences in development and disease. We work with a variety of model organisms spanning developmental (ESCs/hiPSCs), differentiation (CNS, immune) and clinical samples, and exploit a range of molecular, cellular and computational approaches to achieve the goals above.

The group also develops and utilizes different single-cell profiling methods such as time-lapse imaging, transcriptomics (scRNA-seq), chromatin accessibility (scATAC-seq), multi-omics and spatial transcriptomics, alongside development of computational approaches for inferring regulatory networks and large-scale analysis of bulk and single-cell sequencing data.
Our science and team is highly collaborative and interdisciplinary, and we welcome cross-disciplinary projects and members with varied competences in relevant fields.