2019
DOI: 10.2337/db18-0686
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HLA Class II Antigen Processing and Presentation Pathway Components Demonstrated by Transcriptome and Protein Analyses of Islet β-Cells From Donors With Type 1 Diabetes

Abstract: Type 1 diabetes studies consistently generate data showing islet b-cell dysfunction and T cell-mediated anti-b-cell-specific autoimmunity. To explore the pathogenesis, we interrogated the b-cell transcriptomes from donors with and without type 1 diabetes using both bulk-sorted and single b-cells. Consistent with immunohistological studies, b-cells from donors with type 1 diabetes displayed increased Class I transcripts and associated mRNA species. These b-cells also expressed mRNA for Class II and Class II ant… Show more

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Cited by 95 publications
(97 citation statements)
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“…Immunostaining using pancreatic tissue showed that MHC class II and CIITA were not stained in non‐diabetic pancreatic islets, but were occasionally found in the islets patients with type 1 diabetes. Furthermore, CD68 + cells (macrophages) exist independently of CIITA + β‐cells, and it was shown that in this study, CIITA and insulin double positive cells were not macrophages that phagocytosed β‐cells.…”
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confidence: 51%
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“…Immunostaining using pancreatic tissue showed that MHC class II and CIITA were not stained in non‐diabetic pancreatic islets, but were occasionally found in the islets patients with type 1 diabetes. Furthermore, CD68 + cells (macrophages) exist independently of CIITA + β‐cells, and it was shown that in this study, CIITA and insulin double positive cells were not macrophages that phagocytosed β‐cells.…”
mentioning
confidence: 51%
“…Russell et al . approached this argument with a novel technique called transcriptome analysis using donor islets as samples.…”
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confidence: 99%
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“…Following FASTQ file generation in BaseSpace (Illumina), sequence files from bulk cell libraries were processed as described previously, 14 except that expected counts were filtered to include only genes with > 10 counts in at least three samples prior to submission to DESeq2 for differential gene expression analysis. Genes with at least a twofold change in expression and adjusted P values of < .01 were considered differentially expressed between pretransplant and posttransplant groups.…”
Section: Bioinformatics Analysesmentioning
confidence: 99%