Keio University · Medicine
Professor Jun Inamoto's research lab focuses on unraveling the immunological and molecular mechanisms underlying autoimmune diseases, particularly rheumatoid arthritis (RA) and systemic sclerosis (SSc), using cutting-edge single-cell and long-read sequencing technologies. The lab investigates T cell dysfunction, alternative splicing, and immune cell phenotypes in at-risk and early-stage patients to identify novel biomarkers and therapeutic targets. A key emphasis is on understanding disease pathogenesis before clinical onset, aiming to enable early intervention and remission strategies.
Figures are computed from collected data and may differ slightly.
While numerous disease-modifying anti-rheumatic drugs (DMARDs) have brought about a dramatic paradigm shift in the management of rheumatoid arthritis (RA), unmet needs remain, such as the small proportion of patients who achieve drug-free status. The aim of this study was to explore key molecules for remission at the T cell level, which are known to be deeply involved in RA pathogenesis, and investigate the disease course of patients who achieved molecular remission (MR). We enrolled a total of
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Alternative splicing events are a major causal mechanism for complex traits, but they have been understudied due to the limitation of short-read sequencing. Here, we generate a full-length isoform annotation of human immune cells from an individual by long-read sequencing for 29 cell subsets. This contains a number of unannotated transcripts and isoforms such as a read-through transcript of TOMM40-APOE in the Alzheimer's disease locus. We profile characteristics of isoforms and show that repetit
Rheumatoid arthritis (RA) is a systemic autoimmune disease currently with no universally highly effective prevention strategies. Identifying pathogenic immune phenotypes in at-risk populations prior to clinical onset is crucial to establishing effective prevention strategies. Here, we applied multimodal single-cell technologies (mass cytometry and CITE-Seq) to characterize the immunophenotypes in blood from at-risk individuals (ARIs) identified through the presence of serum antibodies against ci
Pathogenic pathways were identified according to the type of autoantibody by leveraging gene expression data of patients and controls from a multicentre cohort. The current study may promote the search for new therapeutic targets for SSc.
US-detected subclinical foot and ankle synovitis considerably affected patient functional status and QoL; however, it was often unnoticed by physicians.
Rheumatoid arthritis (RA) is a systemic autoimmune disease with currently no universally highly effective prevention strategies. Identifying pathogenic immune phenotypes in 'At-Risk' populations prior to clinical disease onset is crucial to establishing effective prevention strategies. Here, we applied mass cytometry to deeply characterize the immunophenotypes in blood from At-Risk individuals identified through the presence of serum antibodies to citrullinated protein antigens (ACPA) and/or fir
Sjögren's disease (SjD) is an autoimmune disease that causes salivary gland dysfunction due to immune-mediated destruction. While autoantibodies such as anti-SSA and anti-centromere (CENT) are associated with distinct clinical manifestations, the molecular features remain to be elucidated. In this study, we apply multi-modal single-cell technologies: single-cell RNA sequencing, T cell and B cell receptor sequencing and spatial transcriptomics to salivary gland lesions, aiming to elucidate common
Summary Alternative splicing events are a major causal mechanism for complex traits, but they have been understudied due to the limitation of short-read sequencing. Here, we generated a comprehensive full-length isoform annotation of human immune cells, Immune Isoform Atlas, by long-read sequencing for 29 cell subsets. Our atlas contained a number of unannotated transcripts and isoforms such as a read-through transcript of TOMM40-APOE . We profiled functional characteristics of isoforms includin
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