Using single-nucleus RNA-sequencing to interrogate transcriptomic profiles of archived human pancreatic islets

利用单核RNA测序技术分析存档的人类胰岛的转录组谱。

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作者:Giorgio Basile # ,Sevim Kahraman # ,Ercument Dirice # ,Hui Pan ,Jonathan M Dreyfuss ,Rohit N Kulkarni

Abstract

Background: Human pancreatic islets are a central focus of research in metabolic studies. Transcriptomics is frequently used to interrogate alterations in cultured human islet cells using single-cell RNA-sequencing (scRNA-seq). We introduce single-nucleus RNA-sequencing (snRNA-seq) as an alternative approach for investigating transplanted human islets. Methods: The Nuclei EZ protocol was used to obtain nuclear preparations from fresh and frozen human islet cells. Such preparations were first used to generate snRNA-seq datasets and compared to scRNA-seq output obtained from cells from the same donor. Finally, we employed snRNA-seq to obtain the transcriptomic profile of archived human islets engrafted in immunodeficient animals. Results: We observed virtually complete concordance in identifying cell types and gene proportions as well as a strong association of global and islet cell type gene signatures between scRNA-seq and snRNA-seq applied to fresh and frozen cultured or transplanted human islet samples. Conclusions: We propose snRNA-seq as a reliable strategy to probe transcriptomic profiles of freshly harvested or frozen sources of transplanted human islet cells especially when scRNA-seq is not ideal. Keywords: Archived tissue; Diabetes; Frozen samples; Human β-cells; Single-cell RNA-sequencing; Single-nucleus RNA-sequencing; Transplanted human islets.

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