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+<div class="sc-jegwdG lhLRCf"><div class="sc-UEtKG dGqiYy sc-flttKd cguEtd"><div class="sc-fqwslf gsqkEc"><div class="sc-cBQMlg kAHhUk"><h2 class="sc-dcKlJK sc-cVttbi gqEuPW ksnHgj">About Dataset</h2></div></div></div><div class="sc-davvxH eCVTlP"><div class="sc-jCNfQM ikRdXB"><div style="min-height: 80px;"><div class="sc-etVRix jqYJaa sc-gVIFzB gQKGyV"><p>single-cell RNA-seq method is used to determine the transcriptomes of over 12,000 individual pancreatic cells from four human donors and two mouse strains. Cells could be divided into 15 clusters that matched previously characterized cell types: all endocrine cell types, including rare epsilon-cells; exocrine cell types; vascular cells; Schwann cells; quiescent and activated stellate cells; and four types of immune cells. Subpopulations of ductal cells with distinct expression profiles were detected and validated their existence with immuno-histochemistry stains. In human beta- cells, heterogeneity in the regulation of genes relating to functional maturation and levels of ER stress were detected. Finally , bulk gene expression samples using the single-cell data to detect disease-associated differential expression were deconvoluted. The dataset provides a resource for the discovery of novel cell type-specific transcription factors, signaling receptors, and medically relevant genes.<br>
+Content Source : <a rel="noreferrer nofollow" aria-label="https://www.ncbi.nlm.nih.gov/pubmed/27667365 (opens in a new tab)" target="_blank" href="https://www.ncbi.nlm.nih.gov/pubmed/27667365">https://www.ncbi.nlm.nih.gov/pubmed/27667365</a><br>
+Acknowledgements:<br>
+Data Source Credit :<br>
+<a rel="noreferrer nofollow" aria-label="https://hemberg-lab.github.io/scRNA.seq.datasets/human/pancreas/ (opens in a new tab)" target="_blank" href="https://hemberg-lab.github.io/scRNA.seq.datasets/human/pancreas/">https://hemberg-lab.github.io/scRNA.seq.datasets/human/pancreas/</a><br>
+Research Paper :<br>
+A Single-Cell Transcriptomic Map of the Human and Mouse Pancreas Reveals Inter- and Intra-cell Population Structure.<br>
+<a rel="noreferrer nofollow" aria-label="https://www.ncbi.nlm.nih.gov/pubmed/27667365 (opens in a new tab)" target="_blank" href="https://www.ncbi.nlm.nih.gov/pubmed/27667365">https://www.ncbi.nlm.nih.gov/pubmed/27667365</a></p></div></div></div></div></div>
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