J. Westermann

Machine learning analysis of the T cell receptor repertoire identifies sequence features that predict self-reactivity

The paper uses machine learning to identify TCR sequence features predicting self-reactivity, finding that n-nucleotide additions and acidic amino acids reduce self-reactivity.

A comprehensive toolkit for quick and easy visualization of marker proteins, protein-protein interactions and cell morphology in Marchantia polymorpha.

The paper provides tools for visualizing protein localization, interactions, and cell morphology in Marchantia polymorpha using transient biolistic transformation and fluorescent markers.

An Evolutionarily Conserved Receptor-like Kinases Signaling Module Controls Cell Wall Integrity During Tip-Growth

The paper identifies a conserved MLR/PTI1-like signaling module in M. polymorpha and A. thaliana that regulates cell wall integrity during tip-growth.

Deep Sequencing Reveals Transient Segregation of T Cell Repertoires in Splenic T Cell Zones During an Immune Response

The paper uses deep sequencing to show that T cell receptor repertoires in splenic T cell zones are transiently segregated during an immune response but not in the absence of antigen.