Tomokazu S. Sumida

The paper identifies increased myeloid-driven inflammation in the CNS of prodromal Parkinson's Disease patients, linking gut and CNS immune responses through shared T cell clones.

This study uses single-cell RNA sequencing to analyze immune changes after B-cell depletion in MS patients, revealing cell type-specific effects on macrophages, monocytes, and T cells.

The paper identifies a nerve-fibroblast axis in lung fibrosis by integrating multiple experimental and computational approaches across species.

This paper introduces a scalable topic modeling method for single-cell RNA-seq data that reduces computational demands while maintaining accuracy and enabling integration with bulk data.

This study uses single-cell RNA sequencing to identify common and distinct immune aberrations in IPF and FHP, revealing shared monocyte features and disease-specific lymphocyte and receptor repertoires.

ProtAnno automates cell type annotation for single cell proteomics data by integrating multiple reference sources, achieving accurate and robust results on manually labeled datasets.

NEBULA improves differential expression and co-expression analysis in large-scale multi-subject single-cell data by efficiently handling overdispersion with a negative binomial mixed model.

The paper shows that the MS risk variant rs7665090G increases astrocyte NF-κB signaling and lymphocyte recruitment, leading to larger MS lesions.

The paper identifies a PTGER2-β-catenin axis that balances IFNγ and IL-10 in FoxP3+ Tregs, linking high salt environments to autoimmunity.