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10.1016/j.cels.2016.09.002 http://scihub22266oqcxt.onion/10.1016/j.cels.2016.09.002 C5092539!5092539!27693023     free     free     free Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Cell+Syst 2016 ; 3 (4): 385-394.e3 Nephropedia Template TP {{tp|p=27693023|t=2016. A Single-Cell Transcriptome Atlas of the Human Pancreas |pdf=|usr=}}{{27693023}} gab.com Text A Single-Cell Transcriptome Atlas of the Human Pancreas JO: Cell Syst http://www.kidney.de/pget.php?&tw=1&pmid=27693023 #FOAvip To understand organ function, it is important to have an inventory of its cell types and of their corresponding marker genes. This is a particularly challenging task for human tissues like the pancreas, because reliable markers are limited. Hence, transcriptome-wide studies are typically done on pooled islets of Langerhans, obscuring contributions from rare cell types and of potential subpopulations. To overcome this challenge, we developed an automated platform that uses FACS, robotics, and the CEL-Seq2 protocol to obtain the transcriptomes 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 and a subpopulation of REG3A-positive acinar cells. We also show that CD24 and TM4SF4 expression can be used to sort 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. Twit Text FOAVip A Single-Cell Transcriptome Atlas of the Human Pancreas ????Cell Syst http://www.kidney.de/pget.php?&tw=1&pmid=27693023 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=27693023 #FOAvip English Wikipedia <ref>{{Cite pmid|27693023}}</ref> A Single-Cell Transcriptome Atlas of the Human Pancreas #MMPMID27693023 Muraro M; Dharmadhikari G; Grün D; Groen N; Dielen T; Jansen E; van Gurp L; Engelse M; Carlotti F; de Koning E; van Oudenaarden A Cell Syst 2016[Oct]; 3 (4): 385-394.e3 PMID27693023show ga To understand organ function, it is important to have an inventory of its cell types and of their corresponding marker genes. This is a particularly challenging task for human tissues like the pancreas, because reliable markers are limited. Hence, transcriptome-wide studies are typically done on pooled islets of Langerhans, obscuring contributions from rare cell types and of potential subpopulations. To overcome this challenge, we developed an automated platform that uses FACS, robotics, and the CEL-Seq2 protocol to obtain the transcriptomes 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 and a subpopulation of REG3A-positive acinar cells. We also show that CD24 and TM4SF4 expression can be used to sort 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. äA Single-Cell Transcriptome Atlas of the Human Pancreas (epmc).pdf DeepDyve Pubget Overpricing