bioRxivSystems BiologyPreprint
Single-Islet Proteomics Maps Pseudo-Temporal Islet Immune Responses and Dysfunction in Stage 1 Type 1 Diabetes
Shane S. KellyiD, Soumyadeep SarkariD, Sarai M. Williams, Aizhong Fu, Elizabeth Ashley ButterworthiD, Tyler J. SagendorfiD, Lorenz A. NiervesiD, Yu Mi KwoniD, Xiaolu LiiD, Vladislav PetyukiD, Jing CheniD, Ernesto Satoshi NakayasuiD, Mark A. AtkinsoniD, Rohit KulkarniiD, Clayton E. MathewsiD, Ying ZhuiD, Martha Campbell‐ThompsoniD, Weijun QianiD
Abstract
Progressive {beta}-cell dysfunction precedes the onset of type 1 diabetes (T1D), yet the molecular mechanisms driving early T1D development remain poorly understood. Although single-cell RNA-sequencing has uncovered transcript-level changes in human islet cells, it offers limited insight into the heterogeneity of distinct islet microenvironments. Here, we applied a single-islet proteomics workflow to profile intra-donor islet heterogeneity in three stage 1 T1D cases with matched non-diabetic controls and define in situ protein signatures of pseudo-temporal islet dysfunction. Intra-donor analyses of [~]100 individual islets per donor revealed highly consistent proteomic patterns reflecting pseudo-time progression of islet immune responses and {beta}-cell dysfunction. Several pathways, including extracellular matrix remodeling and mRNA processing, were identified as closely associated with progressive islet immune activation and loss of {beta}-cell function. These findings provide robust proteome-wide evidence of the progression of islet dysfunction, offer a valuable resource for investigating early mechanisms of T1D pathogenesis-- including novel candidates for functional studies--and underscore the utility of single-islet spatial proteomics for examining islet heterogeneity in T1D.
- organism: human
- assay: proteomics
- research focus: cell type annotation
- research focus: differential expression
- approach: experimental assay
- Citations
- 1
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