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Koichi Fukunaga

Publications and source records attributed to Koichi Fukunaga.

2 recordsLinked to original sources

IL-33 Drives Inflammatory Changes and Extracellular Trap Formation in Eosinophils Involving Oxidised LDL and Complement Pathways.

BACKGROUND: IL-33 levels are elevated in the airways of patients with eosinophilic diseases, and IL-33 receptor expression on eosinophils is upregulated in type 2-high environments. However, the role of IL-33 in the regulation of human eosinophils remains unclear. OBJECTIVE: To elucidate the inflammatory effects of IL-33 on the cellular function of human eosinophils. METHODS: Blood eosinophils were stimulated with IL-33, TNF-α, oxidised low-density lipoprotein (oxLDL) and complement fragments (C3a and C5a). Multi-omics analyses, including transcriptomics and proteomics, were performed. Extracellular trap formation (ETosis) was assessed by SYTOX nucleic acid staining and was visualised by immunofluorescence and transmission electron microscopy. RESULTS: Multi-omics analyses revealed an IL-33- and TNF-α-induced inflammatory gene signature characterised by the upregulation of cell surface markers (oxLDL receptor 1, CD22, CD4 and ICAM-1) and inflammatory mediators (C3, CCL3/4 and IL1A/B). CD22 upregulation was specific to IL-33 stimulation. Eosinophils derived from nasal polyps exhibited a gene expression profile similar to that of IL-33-stimulated eosinophils. Functional assays demonstrated that oxLDL and complement fragments differentially prolonged eosinophil survival and altered the expression of adhesion molecules. OxLDL- and complement fragment-induced gene signatures were partly detected in eosinophils derived from nasal polyps. Furthermore, IL-33 triggered ETosis via NADPH oxidase, mitogen-activated protein kinase and phosphoinositide 3-kinase pathways. CONCLUSIONS: IL-33, in conjunction with oxLDL and the complement cascade, induces inflammatory changes in eosinophils, promoting an ETosis-prone phenotype. These pathways represent potential therapeutic targets in refractory eosinophilic diseases.

Humans

Quantification of escape from X chromosome inactivation with single-cell omics data reveals heterogeneity across cell types and tissues.

Several X-linked genes escape from X chromosome inactivation (XCI), while differences in escape across cell types and tissues are still poorly characterized. Here, we developed scLinaX for directly quantifying relative gene expression from the inactivated X chromosome with droplet-based single-cell RNA sequencing (scRNA-seq) data. The scLinaX and differentially expressed gene analyses with large-scale blood scRNA-seq datasets consistently identified the stronger escape in lymphocytes than in myeloid cells. An extension of scLinaX to a 10x multiome dataset (scLinaX-multi) suggested a stronger escape in lymphocytes than in myeloid cells at the chromatin-accessibility level. The scLinaX analysis of human multiple-organ scRNA-seq datasets also identified the relatively strong degree of escape from XCI in lymphoid tissues and lymphocytes. Finally, effect size comparisons of genome-wide association studies between sexes suggested the underlying impact of escape on the genotype-phenotype association. Overall, scLinaX and the quantified escape catalog identified the heterogeneity of escape across cell types and tissues.

X Chromosome Inactivation