Perfect timing. Your gut microbiome will appreciate the aesthetic upgrade!

Through this work, his research sheds light on the mechanisms underlying mutation accumulation with age and its implications for human health and inheritance.

#WIMMSpotlight #WIMMCommunity #Genetics #ReproductiveBiology #Ageing #NextGenerationSequencing #postdoc

As a result, the risk of transmitting selfish mutations to the next generation increases over time. Hans is particularly interested in using next generation sequencing technologies to identify novel selfish mutations and better understand how they arise and expand.

These mutations disrupt the normal balance of spermatogonial stem cell renewal and sperm production, leading to their progressive enrichment as men age.

Hans’ research focuses on a category of mutations known as selfish mutations, which arise in the testes and are associated with rare paternal age effect disorders.

Each metal tag = one unique signal , all at single cell resolution → giving researchers incredibly detailed cellular maps.

Curious to dive deeper? 🎥 Watch the video: youtu.be/njlYmWdsElM

#MassCytometry #CyTOF #WIMMResearch #Immunology #SingleCellAnalysis 🧪🧬

Each metal tag = one unique signal , all at single cell resolution → giving researchers incredibly detailed cellular maps.

Watch our video to learn more: youtu.be/njlYmWdsElM

#CyTOF #WIMMResearch #Immunology #SingleCellAnalysis

This photograph was featured on the cover of Cell Reports by Cell Press, Volume 44, Issue 5: www.sciencedirect.com/journal/cell... 🧪

A reminder that even the most detailed molecular structures carry a long scientific shoreline behind them.

#SciComm

www.frontiersin.org/journals/imm...

#WIMMSpotlight #WIMMCommunity #Immunology #TCells #MachineLearning #DeepLearning #VaccineResearch #MRCWIMM

📄 Recent publications:
www.nature.com/articles/s41...

By doing so, Benjamin hopes to create a map linking immune cells to foreign pathogens, supporting future pandemic preparednessand the development of T cell based therapeutics and vaccines.

His work applies newly developed deep learning models for protein structure and protein protein interaction prediction to T cell receptor data, with the aim of uncovering the rules that govern antigen specific T cell responses.

Benjamin’s research focuses on mapping human immune responses to pathogens across a wide range of disease contexts. In particular, he is interested in predicting the targets of T cells, key immune cells responsible for identifying and eliminating foreign invaders.

It’s like giving every protein its own note: each cell plays a unique melody.

#CyTOF #WIMMResearch #CellBiology #FlowCytometry #Proteomics #ScienceSimplified

Mass cytometry allows us to analyse 40+ markers at once enabling characterising many cell features such as type, function, cell state: metabolic, activation, proliferation at the same time.