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A single-cell transcriptome atlas of the human pancreas [CEL-seq2]

GSE85241 Homo sapiens Expression profiling by high throughput sequencing 32 samples Submitted 2016/10/04 Platform GPL18573
Summary
To understand organ function it is important to have an inventory of the cell types present in the tissue and of the corresponding markers that identify them. This is a particularly challenging task for human tissues like the pancreas, since reliable markers are limited. Transcriptome-wide studies are typically done on pooled islets of Langerhans, which obscures contributions from rare cell types and/or potential subpopulations. To overcome this challenge, we developed an automated single-cell sequencing platform to sequence the transcriptome of thousands of single pancreatic cells from deceased organ donors, allowing in silico purification of all main pancreatic cell types. We identify cell type-specific transcription factors, a subpopulation of REG3A-positive acinar cells, and cell surface markers that allow sorting of live alpha and beta cells with high purity. This resource will be useful for developing a deeper understanding of pancreatic biology and pathophysiology of diabetes mellitus.
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Direct links to NCBI, no account and no request form: the whole study as GSE85241_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 32 samples. Raw sequencing reads are also available from ENA.

Also filed as BioProject PRJNA337935 and SRA study SRP080991. Searching any of these in the dataset finder brings you back here.

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