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10.3389/fcell.2016.00116 http://scihub22266oqcxt.onion/10.3389/fcell.2016.00116 C5078503!5078503!27826548     free     free     free Warning: imagejpeg(C:\Inetpub\vhosts\kidney.de\httpdocs\phplern\27826548.jpg): Failed to open stream: No such file or directory in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 117       Front+Cell+Dev+Biol 2016 ; 4 (ä): ä Nephropedia Template TP {{tp|p=27826548|t=2016. Single Cell Isolation and Analysis |pdf=|usr=}}{{27826548}} gab.com Text Single Cell Isolation and Analysis JO: Front Cell Dev Biol http://www.kidney.de/pget.php?&tw=1&pmid=27826548 #FOAvip Individual cell heterogeneity within a population can be critical to its peculiar function and fate. Subpopulations studies with mixed mutants and wild types may not be as informative regarding which cell responds to which drugs or clinical treatments. Cell to cell differences in RNA transcripts and protein expression can be key to answering questions in cancer, neurobiology, stem cell biology, immunology, and developmental biology. Conventional cell-based assays mainly analyze the average responses from a population of cells, without regarding individual cell phenotypes. To better understand the variations from cell to cell, scientists need to use single cell analyses to provide more detailed information for therapeutic decision making in precision medicine. In this review, we focus on the recent developments in single cell isolation and analysis, which include technologies, analyses and main applications. Here, we summarize the historical background, limitations, applications, and potential of single cell isolation technologies. Twit Text FOAVip Single Cell Isolation and Analysis ????Front Cell Dev Biol http://www.kidney.de/pget.php?&tw=1&pmid=27826548 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=27826548 #FOAvip English Wikipedia <ref>{{Cite pmid|27826548}}</ref> Single Cell Isolation and Analysis #MMPMID27826548 Hu P; Zhang W; Xin H; Deng G Front Cell Dev Biol 2016[]; 4 (ä): ä PMID27826548show ga Individual cell heterogeneity within a population can be critical to its peculiar function and fate. Subpopulations studies with mixed mutants and wild types may not be as informative regarding which cell responds to which drugs or clinical treatments. Cell to cell differences in RNA transcripts and protein expression can be key to answering questions in cancer, neurobiology, stem cell biology, immunology, and developmental biology. Conventional cell-based assays mainly analyze the average responses from a population of cells, without regarding individual cell phenotypes. To better understand the variations from cell to cell, scientists need to use single cell analyses to provide more detailed information for therapeutic decision making in precision medicine. In this review, we focus on the recent developments in single cell isolation and analysis, which include technologies, analyses and main applications. Here, we summarize the historical background, limitations, applications, and potential of single cell isolation technologies. äSingle Cell Isolation and Analysis (epmc).pdf DeepDyve Pubget Overpricing