Systems (epi)genetics to study the basis of complex traits and diseases
This work co-supervised by Min Noh and Mikael Marttinen describes our technology for highthroughput and highly multiplexed joint RNA/ATAC profiling in single cells. Congratulations to Sara, Umut, Annique and all the authors! This method has already sparked many collaborations – feel free to…
This is work in collaboration with our partners from GSK. Congratulations to Neha, Nila and all of the authors! Daga N, H. Servaas N, Kisand K, Moonen D, Arnold C, Reyes-Palomares A, Kaleviste E, Kingo K, Kuuse R, Ulst K, Steinmetz L, Peterson P, Nakic N, Zaugg JB (2024). Integration of…
This work describes our methods for inferring enhancer-mediated gene regulatory networks and how we can use these networks to identify transcription factors that drive differential expression between two conditions. Congratulations to Aryan, Christian and all the co-authors (this has been a massive…
We are very happy to announce that we got awarded the 2022 ERC consolidator award to investigate the cellular interactions within the human bone marrow niche! Media Coverage: Judith Zaugg from EMBL Heidelberg receives ERC Consolidator Grant
Check it out here!
Check it out here!
Using gene-specific regulatory features we could predict how genes vary across individuals in fly and humans. Read the full paper here or a short lay summary in the EMBL news.
EMBL news coverage of our article: From stem cells to neurons Genomic Rewiring of SOX2 Chromatin Interaction Network during Differentiation of ESCs to Postmitotic NeuronsCellular differentiation requires dramatic changes in chromatin organization, transcriptional regulation, and protein production.…
This work results from a collaboration with 2 groups at Stanford. Check it out here: https://www.nature.com/articles/s41467-020-15463-x Our main take-home messages from the study:1) Chromatin is more sensitive than RNA to capture a cell’s regulatory state2) Chromatin changes are best…
Check out here how we combine high-throughput genomics data and statistical learning to gain mechanistic insights and functional consequences of cooperative transcription factor binding: Mechanistic insights into transcription factor cooperativity and its impact on protein-phenotype interactions…