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Dataset Information

Characterizing pancreatic β-cell heterogeneity in the streptozotocin model by single-cell transcriptomic analysis.


ABSTRACT:

Objectives

The streptozotocin (STZ) model is widely used in diabetes research. However, the cellular and molecular states of pancreatic endocrine cells in this model remain unclear. This study explored the molecular characteristics of islet cells treated with STZ and re-evaluated β-cell dysfunction and regeneration in the STZ model.

Methods

We performed single-cell RNA sequencing of pancreatic endocrine cells from STZ-treated mice. High-quality sequencing data from 2,999 cells were used to identify clusters via Louvain clustering analysis. Principal component analysis (PCA), t-distributed stochastic neighbor embedding (t-SNE), uniform manifold approximation and projection (UMAP), force-directed layout (FDL), and differential expression analysis were used to define the hetero

SUBMITTER: Feng Y 

PROVIDER: S-EPMC7184252 | biostudies-literature | 2020 Jul

REPOSITORIES: biostudies-literature