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Single-Cell Transcriptomics of the Human Endocrine Pancreas
Yue J. Wang, Jonathan Schug, Kyoung‐Jae Won, Chengyang Liu, Ali Naji, Dana Avrahami, Maria L. Golson, Klaus H. Kaestner
Diabetes · 2016 · ▲ 490 citations
Abstract
Human pancreatic islets consist of multiple endocrine cell types. To facilitate the detection of rare cellular states and uncover population heterogeneity, we performed single-cell RNA sequencing (RNA-seq) on islets from multiple deceased organ donors, including children, healthy adults, and individuals with type 1 or type 2 diabetes. We developed a robust computational biology framework for cell type annotation. Using this framework, we show that α- and β-cells from children exhibit less well-defined gene signatures than those in adults. Remarkably, α- and β-cells from donors with type 2 diabetes have expression profiles with features seen in children, indicating a partial dedifferentiation process. We also examined a naturally proliferating α-cell from a healthy adult, for which pathway analysis indicated activation of the cell cycle and repression of checkpoint control pathways. Importantly, this replicating α-cell exhibited activated Sonic hedgehog signaling, a pathway not previously known to contribute to human α-cell proliferation. Our study highlights the power of single-cell RNA-seq and provides a stepping stone for future explorations of cellular heterogeneity in pancreatic endocrine cells.
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- DOI
- 10.2337/db16-0405
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- 2026-07-25 MST
Cite this
APA
Wang, Y.J., Schug, J., Won, K., Liu, C., Naji, A., Avrahami, D., Golson, M.L., & Kaestner, K.H. (2016). Single-Cell Transcriptomics of the Human Endocrine Pancreas. <em>Diabetes</em>. https://doi.org/10.2337/db16-0405
Vancouver
Wang YJ, Schug J, Won K, Liu C, Naji A, Avrahami D, et al. Single-Cell Transcriptomics of the Human Endocrine Pancreas. Diabetes. 2016. doi:10.2337/db16-0405.
BibTeX
@article{yue2016Single,
title = {Single-Cell Transcriptomics of the Human Endocrine Pancreas},
author = {Yue J. Wang and Jonathan Schug and Kyoung‐Jae Won and Chengyang Liu and Ali Naji and Dana Avrahami and Maria L. Golson and Klaus H. Kaestner},
journal = {Diabetes},
year = {2016},
doi = {10.2337/db16-0405},
}
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