| Literature DB >> 31380847 |
Yurong Xin1, Christina Adler2, Jinrang Kim2, Yueming Ding2, Min Ni2, Yi Wei2, Lynn Macdonald2, Haruka Okamoto3.
Abstract
Pancreatic islets comprise of endocrine cells with distinctive hormone expression patterns. The endocrine cells show functional differences in response to normal and pathological conditions. The goal of this protocol is to generate high-quality, large-scale transcriptome data of each endocrine cell type with the use of a droplet-based microfluidic single-cell RNA sequencing technology. Such data can be utilized to build the gene expression profile of each endocrine cell type in normal or specific conditions. The process requires careful handling, accurate measurement, and rigorous quality control. In this protocol, we describe detailed steps for human pancreatic islets dissociation, sequencing, and data analysis. The representative results of about 20,000 human single islet cells demonstrate the successful application of the protocol.Entities:
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Year: 2019 PMID: 31380847 DOI: 10.3791/59866
Source DB: PubMed Journal: J Vis Exp ISSN: 1940-087X Impact factor: 1.355