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使用液质联用技术对胰岛发育和糖尿病中的胰岛重塑进行全面表征。

Comprehensive Characterization of Islet Remodeling in Development and in Diabetes Using Mass Cytometry.

机构信息

Department of Biomedical Sciences, College of Medicine, Florida State University, Tallahassee, FL 32306, USA.

出版信息

Endocrinology. 2024 Jul 26;165(9). doi: 10.1210/endocr/bqae094.

Abstract

The pancreatic islet is the functional and structural unit of the pancreatic endocrine portion. Islet remodeling occurs in both normal development and pathogenesis of type 1 (T1D) and type 2 diabetes (T2D). However, accurately quantifying changes in islet cellular makeup and hormone expressions poses significant challenges due to large intra- and inter-donor heterogeneity and the limited scalability of traditional methods such as immunostaining. The cytometry by time-of-flight (CyTOF) technology enables simultaneous quantification of more than 30 protein markers at single-cell resolution in a high-throughput fashion. Moreover, with distinct DNA and viability markers, single live cells can be explicitly selected in CyTOF. Here, leveraging the CyTOF data generated by the Human Pancreas Analysis Program, we characterized more than 12 million islet cells from 71 donors. Our data revealed continued age-related changes in islet endocrine cell compositions, but the maturity of endocrine cells is reached by 3 years of age. We also observed significant changes in beta cell numbers and key protein expressions, along with a significant increase in bihormonal cells in T1D donors. In contrast, T2D donors exhibited minimal islet remodeling events. Our data shine a light on the islet dynamics during development and diabetes pathogenesis and suggest divergent pathogenesis processes of T1D and T2D. Our comprehensive approach not only elucidates islet plasticity but also establishes a foundation for integrated CyTOF analysis in islet biology and beyond.

摘要

胰岛是胰腺内分泌部分的功能和结构单位。胰岛重塑发生在 1 型(T1D)和 2 型糖尿病(T2D)的正常发育和发病机制中。然而,由于供体内部和供体之间的异质性很大,以及免疫染色等传统方法的可扩展性有限,准确量化胰岛细胞组成和激素表达的变化仍然具有很大的挑战性。时间飞行(CyTOF)技术可以在高通量的方式下,以单细胞分辨率同时定量超过 30 种蛋白质标记物。此外,通过独特的 DNA 和活力标记物,可以在 CyTOF 中明确选择单个活细胞。在这里,我们利用人类胰腺分析计划生成的 CyTOF 数据,对来自 71 名供体的超过 1200 万个胰岛细胞进行了特征描述。我们的数据揭示了胰岛内分泌细胞组成随年龄增长而持续变化,但内分泌细胞的成熟在 3 岁时达到。我们还观察到β细胞数量和关键蛋白表达的显著变化,以及 T1D 供体中双激素细胞的显著增加。相比之下,T2D 供体表现出最小的胰岛重塑事件。我们的数据揭示了胰岛在发育和糖尿病发病机制过程中的动态变化,并提示了 T1D 和 T2D 的发病机制过程存在差异。我们的综合方法不仅阐明了胰岛的可塑性,而且为胰岛生物学及其他领域的综合 CyTOF 分析奠定了基础。

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