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Cell Metabolism
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Cell Metabolism
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Cell Metabolism
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Single-Cell Transcriptome Profiling of Human Pancreatic Islets in Health and Type 2 Diabetes

Authors: Segerstolpe, Åsa; Palasantza, Athanasia; Eliasson, Pernilla; Andersson, Eva-Marie; Andréasson, Anne-Christine; Sun, Xiaoyan; Picelli, Simone; +7 Authors

Single-Cell Transcriptome Profiling of Human Pancreatic Islets in Health and Type 2 Diabetes

Abstract

Hormone-secreting cells within pancreatic islets of Langerhans play important roles in metabolic homeostasis and disease. However, their transcriptional characterization is still incomplete. Here, we sequenced the transcriptomes of thousands of human islet cells from healthy and type 2 diabetic donors. We could define specific genetic programs for each individual endocrine and exocrine cell type, even for rare δ, γ, ε, and stellate cells, and revealed subpopulations of α, β, and acinar cells. Intriguingly, δ cells expressed several important receptors, indicating an unrecognized importance of these cells in integrating paracrine and systemic metabolic signals. Genes previously associated with obesity or diabetes were found to correlate with BMI. Finally, comparing healthy and T2D transcriptomes in a cell-type resolved manner uncovered candidates for future functional studies. Altogether, our analyses demonstrate the utility of the generated single-cell gene expression resource.

Keywords

Resource, Male, Physiology, Gene Expression Profiling, Reproducibility of Results, Cell Biology, Glucagon-Like Peptide-1 Receptor, Tissue Donors, Islets of Langerhans, Diabetes Mellitus, Type 2, Humans, Obesity, Single-Cell Analysis, Molecular Biology, Transcription Factors

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1K
Top 0.01%
Top 0.1%
Top 0.01%
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hybrid