Use of the Fluidigm C1 platform for RNA sequencing of single mouse pancreatic islet cells
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- Yurong Xin
- Regeneron Pharmaceuticals, Tarrytown, NY 10591
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- Jinrang Kim
- Regeneron Pharmaceuticals, Tarrytown, NY 10591
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- Min Ni
- Regeneron Pharmaceuticals, Tarrytown, NY 10591
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- Yi Wei
- Regeneron Pharmaceuticals, Tarrytown, NY 10591
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- Haruka Okamoto
- Regeneron Pharmaceuticals, Tarrytown, NY 10591
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- Joseph Lee
- Regeneron Pharmaceuticals, Tarrytown, NY 10591
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- Christina Adler
- Regeneron Pharmaceuticals, Tarrytown, NY 10591
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- Katie Cavino
- Regeneron Pharmaceuticals, Tarrytown, NY 10591
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- Andrew J. Murphy
- Regeneron Pharmaceuticals, Tarrytown, NY 10591
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- George D. Yancopoulos
- Regeneron Pharmaceuticals, Tarrytown, NY 10591
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- Hsin Chieh Lin
- Regeneron Pharmaceuticals, Tarrytown, NY 10591
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- Jesper Gromada
- Regeneron Pharmaceuticals, Tarrytown, NY 10591
抄録
<jats:title>Significance</jats:title> <jats:p>Pancreatic islets are complex structures composed of four cell types whose primary function is to maintain glucose homeostasis. Owing to the scarcity and heterogeneity of the islet cell types, little is known about their individual gene expression profiles. Here we used the Fluidigm C1 platform to obtain high-quality gene expression profiles of each islet cell type from mice. We identified cell-type–specific transcription factors and pathways providing previously unrecognized insights into genes characterizing islet cells. Unexpectedly, our data uncover technical limitations with the C1 Fluidigm cell capture process, which should be considered when analyzing single-cell transcriptomics data.</jats:p>
収録刊行物
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- Proceedings of the National Academy of Sciences
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Proceedings of the National Academy of Sciences 113 (12), 3293-3298, 2016-03-07
Proceedings of the National Academy of Sciences