Single-cell gene expression analysis reveals β-cell dysfunction and deficit mechanisms in type 2 diabetes

• Main Authors: Ma, Lichun, Zheng, Jie
• Other Authors: School of Computer Science and Engineering
• Format: Article
• Language: English
• Published: 2019
• Subjects: Single-cell; Hyperglycaemia; DRNTU::Engineering::Computer science and engineering
• Online Access: https://hdl.handle.net/10356/105665; http://hdl.handle.net/10220/48721; http://dx.doi.org/10.1186/s12859-018-2519-1
• Institution: Nanyang Technological University

Background: Type 2 diabetes (T2D) is one of the most common chronic diseases. Studies on T2D are mainly built upon bulk-cell data analysis, which measures the average gene expression levels for a population of cells and cannot capture the inter-cell heterogeneity. The single-cell RNA-sequencing tech...