Chromosome Catastrophes in Cancer

Combine molecular biology, biochemical and advanced microscopy techniques to study myelinating glial cells

The synaptic basis for sexual dimorphism in the nervous system

Understanding epithelial, stem and immune cell interactions in the gut

Multi modal molecular imaging of regulatory checkpoints in vascular remodeling in reproduction

How diverse posttranscriptional modifications regulate the fate of mRNA

Genomic & state-dependent regulation of neural circuit plasticity

We are interested in deciphering questions spanning from molecular to behavioral levels

We study how osteoclasts, the only cells in our body that can degrade bone, are formed and how they function, both in health and in disease

Functional genomics and transcriptomics in mouse models and humans

An integrative approach for the exploration of melanoma genetic and immunological interactions

Illuminating antigen presenters and their cross-talk with T cells to execute inflammatory and peaceful immune responses.

The role of mitochondria in health and disease

Human evolution and disease

Genetically engineered reporters for MRI

Health effects of air polution, transport of bacteria and fungi in the atmosphere

We study interactions between peripheral circadian clocks and exercise physiology, hypoxia signaling and metabolic pathways

We use model systems, both in vitro and in vivo, generate novel therapies and apply transcriptomics, along with proteomics and metabolic analyses.

Disulfide bonding in the folding, assembly, and regulation of proteins and protein complexes

Decipher expression of molecular pathways and their function in cells, disease models and samples from patients.

We are interested to learn basic principles dictating specificity of proteinprotein interactions and how this relates to cell signaling

Proprioception and the the musculoskeletal system in development and disease

Drug resistance in cancer, effects that intra-tumor bacteria on cancer biology and drug resistance, ex vivo organ culture for the prediction of drug response