The DOI matches its Crossref record; 37 of the 37 references it cites were found in a registry or an index.
Single-Cell Transcriptomics of the Human Endocrine Pancreas
Open accessAbstract
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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Cites
Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2
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Pancreatic β Cell Dedifferentiation as a Mechanism of Diabetic β Cell Failure
Talchai, C., Xuan, S., Lin, H. V., Sussel, L., & Accili, D. (2012) · Cell · doi:10.1016/j.cell.2012.07.029 · Cited by 1,415
Single-cell messenger RNA sequencing reveals rare intestinal cell types
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Single-cell transcriptomics reveals bimodality in expression and splicing in immune cells
Shalek, A. K., Satija, R., Adiconis, X., Gertner, R. S., Gaublomme, J. T., Raychowdhury, R., Schwartz, S., Yosef, N., Malboeuf, C., Lu, D., et al. (2013) · Nature · doi:10.1038/nature12172 · Cited by 1,190
Conversion of adult pancreatic α-cells to β-cells after extreme β-cell loss
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Cited by
Elyada, E., Bolisetty, M., Laise, P., Flynn, W. F., Courtois, E. T., Burkhart, R. A., Teinor, J. A., Belleau, P., Biffi, G., Lucito, M. S., et al. (2019) · Cancer Discovery · doi:10.1158/2159-8290.cd-19-0094 · Cited by 2,241
Single cell RNA sequencing of human liver reveals distinct intrahepatic macrophage populations
MacParland, S. A., Liu, J. C., Ma, X.-Z., Innes, B. T., Bartczak, A. M., Gage, B. K., Manuel, J., Khuu, N., Echeverri, J., Linares, I., et al. (2018) · Nature Communications · doi:10.1038/s41467-018-06318-7 · Cited by 1,552
Single-Cell Transcriptome Profiling of Human Pancreatic Islets in Health and Type 2 Diabetes
Segerstolpe, Å., Palasantza, A., Eliasson, P., Andersson, E.-M., Andréasson, A.-C., Sun, X., Picelli, S., Sabirsh, A., Clausen, M., Bjursell, M. K., et al. (2016) · Cell Metabolism · doi:10.1016/j.cmet.2016.08.020 · Cited by 1,550
A benchmark of batch-effect correction methods for single-cell RNA sequencing data
Tran, H. T. N., Ang, K. S., Chevrier, M., Zhang, X., Lee, N. Y. S., Goh, M., & Chen, J. (2020) · Genome Biology · doi:10.1186/s13059-019-1850-9 · Cited by 1,113
BBKNN: fast batch alignment of single cell transcriptomes
Polański, K., Young, M. D., Miao, Z., Meyer, K. B., Teichmann, S. A., & Park, J.-E. (2020) · Bioinformatics · doi:10.1093/bioinformatics/btz625 · Cited by 932
Metadata
- Authors
- Wang, Y. J., Schug, J., Won, K.-J., Liu, C., Naji, A., Avrahami, D., Golson, M. L., & Kaestner, K. H.
- Venue
- Diabetes
- Publisher
- American Diabetes Association
- Published
- 2016-06-30
- Volume
- 65
- Issue
- 10
- Pages
- 3028-3038
- ISSN
- 0012-1797 (ISSN-L)
- 1939-327X
- OpenAlex
- W2463988862
- Cited by
- 432
- References
- 37
- FWCI
- 42.82
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Wang, Y. J., Schug, J., Won, K.-J., Liu, C., Naji, A., Avrahami, D., Golson, M. L., & Kaestner, K. H. (2016). Single-Cell Transcriptomics of the Human Endocrine Pancreas. Diabetes. https://doi.org/10.2337/db16-0405
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