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10.1038/sdata.2017.22 http://scihub22266oqcxt.onion/10.1038/sdata.2017.22 C5332014!5332014 !28248923     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=28248923 &cmd=llinks): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 215       Sci+Data 2017 ; 4 (?): 170022 Nephropedia Template TP {{tp|p=28248923 |t=2017. Image-based siRNA screen to identify kinases regulating Weibel-Palade body size control using electroporation |pdf=|usr=}}{{28248923 }} gab.com Text Image-based siRNA screen to identify kinases regulating Weibel-Palade body size control using electroporation JO: Sci Data http://www.kidney.de/pget.php?&tw=1&pmid=28248923 #FOAvip High-content screening of kinase inhibitors is important in order to identify biogenesis and function mechanisms of subcellular organelles. Here, we present a human kinome siRNA high-content screen on primary human umbilical vein endothelial cells, that were transfected by electroporation. The data descriptor contains a confocal fluorescence, microscopic image dataset. We also describe an open source, automated image analysis workflow that can be reused to perform high-content analysis of other organelles. This dataset is suitable for analysis of morphological parameters that are linked to human umbilical vein endothelial cell (HUVEC) biology. Twit Text FOAVip Image-based siRNA screen to identify kinases regulating Weibel-Palade body size control using electroporation ????Sci Data http://www.kidney.de/pget.php?&tw=1&pmid=28248923 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=28248923 #FOAvip English Wikipedia <ref>{{Cite pmid|28248923 }}</ref> Image-based siRNA screen to identify kinases regulating Weibel-Palade body size control using electroporation #MMPMID28248923 Ketteler R ; Freeman J ; Ferraro F ; Bata N ; Cutler DF ; Kriston-Vizi J ; Stevenson N Sci Data 2017[Mar]; 4 (?): 170022 PMID28248923 show ga High-content screening of kinase inhibitors is important in order to identify biogenesis and function mechanisms of subcellular organelles. Here, we present a human kinome siRNA high-content screen on primary human umbilical vein endothelial cells, that were transfected by electroporation. The data descriptor contains a confocal fluorescence, microscopic image dataset. We also describe an open source, automated image analysis workflow that can be reused to perform high-content analysis of other organelles. This dataset is suitable for analysis of morphological parameters that are linked to human umbilical vein endothelial cell (HUVEC) biology. |*Weibel-Palade Bodies [MESH] |Cell Line [MESH] |Electroporation [MESH] |Endothelium, Vascular [MESH] |Humans [MESH] |Protein Kinases [MESH]Image-based siRNA screen to identify kinases regulating Weibel-Palade (epmc).pdf DeepDyve Pubget Overpricing