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Matsubara, M.

Publications and source records attributed to Matsubara, M..

2 recordsLinked to original sources

Inflammatory molecules in the glomerular endothelium in mild IgA-Nephropathy identified by single-cell and spatial transcriptome

Immunoglobulin A nephropathy (IgA-N) is a primary glomerulonephritis characterized by mesangial cell proliferation and expansion. It still leads to end-stage renal disease over the long course of the disease in many patients. Although glomerular endothelial cells (GE) have been implicated in the pathogenesis of IgA-N, their role remains poorly understood. We conducted single-cell and spatial transcriptomic analysis using human specimens with mild IgA-N compared with normal. We observed the significantly higher expression of several inflammation-associated molecules which have been reported and not reported to be involved in IgA-N pathogenesis, respectively. Furthermore, we show that several important molecules were also highly expressed in GE of IgA-N at protein level by tissue immunostaining. Our analysis suggests that the characteristic pathways identified in GE that involve these molecules are associated with the progression of IgA-N. These findings offer important insights on both the pathogenesis of IgA-N and its treatment at an early stage.

bioinformatics↗

Mass spectrometric method for the unambiguous profiling of cellular dynamic glycosylation.

Various biological processes at the cellular level are regulated by glycosylation which is a highly micro-heterogeneous post-translational modification (PTM) on proteins and lipids. The dynamic nature of glycosylation can be studied through bio-orthogonal tagging of metabolically engineered non-natural sugars into glycan epitopes. However, this approach possesses a significant drawback due to non-specific background reactions and ambiguity of non-natural sugar metabolism. Here we report a tag-free strategy for their direct detection by glycoproteomics and glycomics using mass spectrometry. The method dramatically simplifies the detection of non-natural functional group bearing monosaccharides installed through promiscuous sialic acid, GalNAc, and GlcNAc biosynthetic pathways. Multistage enrichment of glycoproteins by cellular fractionation, subsequent ZIC-HILIC based glycopeptide enrichment, and a spectral enrichment algorithm for the MS data processing enabled direct detection of non-natural monosaccharides that are incorporated at low abundance on the N/O-glycopeptides along with their natural counterparts. Our approach allowed the detection of both natural and non-natural sugar bearing glycopeptides, N and O-glycopeptides, differentiation of non-natural monosaccharide types on the glycans and also their incorporation efficiency through quantitation. Through this we could deduce some interconversion of monosaccharides during their processing through glycan salvage pathway and subsequent incorporation into glycan chains. The study of glycosylation dynamics through this method can be conducted in high throughput as few sample processing steps are involved, enabling understanding of glycosylation dynamics under various external stimuli and thereby could bolster the use of metabolic glycan engineering in glycosylation functional studies.

biochemistry↗