Christof Seiler

This study creates a multi-organ single-cell atlas of systemic sclerosis to identify shared and tissue-specific transcriptional programs and potential therapeutic targets.

This paper develops a high-content imaging assay to analyze synovial fibroblasts in arthritis, revealing disease-specific functional heterogeneity and identifying IL-1β as a key driver of autophagy.

SNPic uses topic modeling to cluster complex phenotypes by interpreting GWAS data as a corpus, identifying interpretable genetic modules and biological mechanisms.

This study identifies disease-specific fibroblast-myeloid interactions in RA synovium, showing SPP1 signaling and fibroblast-myeloid-dendritic interactions drive RA inflammation by linking innate immunity to autoimmunity.

This study identifies NKp30:B7-H6 and NKG2D:MICB/ULBP2 as receptor-ligand pairs that contribute to NK cell recognition of HIV-infected cells.

spillR provides a nonparametric spillover correction method for mass cytometry data, improving accuracy and avoiding biases in downstream analyses.

CytoGLMM provides statistical methods for differential analysis of flow and mass cytometry data, improving robustness to marker correlations and patient heterogeneity.

The paper applies two heteroscedasticity models to rfMRI data to analyze functional brain connectivity differences between short and conventional sleepers, finding stronger connectivity in short sleepers and recommending sleep duration as a covariate.

This study shows human NK cells distinguish influenza A strains through cytokine priming and receptor-ligand signaling, with pH1N1 inducing stronger IFN-gamma responses than H3N2.