Jun Inamo

CATaN integrates TF-GRNs and transcriptomes to identify genetic risk components across complex diseases, finding 588 significant CC components enriched for SNP heritability.

scLASER simulates and detects time-dependent cellular dynamics in longitudinal studies, showing higher sensitivity than traditional methods in rare cell types and non-linear patterns.

The paper identifies novel cell states and molecular profiles in lupus patients using single-cell data, linking them to disease severity and treatment outcomes.

The paper identifies three immunologically distinct groups in lupus nephritis patients based on blood immunophenotyping, correlating with histopathology, treatment response, and renal outcomes.

The paper identifies activated lymphocyte phenotypes in individuals at risk for rheumatoid arthritis using mass cytometry and develops an immunophenotype score to distinguish these individuals from controls.

CellPhenoX identifies cell-specific phenotypes linked to clinical outcomes using single-cell multi-omics data, demonstrating its ability to detect relevant phenotypes in diseases like COVID-19 and ulcerative colitis.

This study integrates GWAS and scRNA-seq to identify genetically relevant cell states in inflammatory diseases, finding scDRS outperforms scGWAS in capturing disease-relevant cellular heterogeneity.

The paper generates a comprehensive atlas of alternative splicing in human immune cells using long-read sequencing, identifies unannotated transcripts, and links isoforms to disease through quantitative trait loci and GWAS data.