News
Congratulations, Dr. Hinte!
On March 15th 2024, Laura successfully defended her PhD thesis titled “Shifting Landscapes: Exploring the Adipocyte Epigenome in Obesity, Weight Loss, and Changing Climates”. The whole lab congratules you Laura, well done!
1. Swiss Nutrition Symposium on Sustainable Diet and Metabolic Health
Eva Galle and Laura Hinte were able to present their work at the 1. Swiss Nutrition Research Symposium at Agroscope, organized by the Swiss Research Network – Healthy Nutrition (SRN-HN). The main topics disscussed at this first symposium were how to make diets more sustainable and ways to increase metabolic health.
New publication on alternate day iron supplementation in iron-depleted women
Guidelines to treat iron deficiency recommend daily provision of oral iron, but this may decrease fractional iron absorption and increase side effects. Our objective was to compare consecutive-day versus alternate-day iron supplementation.
New publication: Epigenetic dynamics during capacitation of naïve human pluripotent stem cells
In our latest publication, we used an in vitro system to recapitulate features of early human development and characterise the epigenetic landscape of naive and primed hPSCs. Our results show that X chromosome erosion is reversed by resetting and subsequent hPSCs capacitation.
Nicole Stoffel receives James Mitchell Award 2023
We congratulate Dr. Nicole Stoffel for receiving this year's James Mitchell Award for Excellence in Collaborative Science. Nicole's current research interests are optimizing oral iron supplementation regimens in pregnant women and young infants and improving vaccine efficacy.
Benchmarking computational methods for single-cell chromatin data analysis
The analysis of single-cell ATAC-seq data is challenging due to its high-dimensionality and sparsity. In our recent preprint, we benchmarked current scATAC-seq data processing pipelines, and evaluate their strengths and weaknesses within different representative datasets. We identified specific approaches to be superior for specific dataset types.