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Single-cell gene expression analysis reveals β-cell dysfunction and deficit mechanisms in type 2 diabetes
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...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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BioMed Central
2018
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6311914/ https://www.ncbi.nlm.nih.gov/pubmed/30598071 http://dx.doi.org/10.1186/s12859-018-2519-1 |