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10.1016/j.celrep.2015.08.048 http://scihub22266oqcxt.onion/10.1016/j.celrep.2015.08.048 C4610353!4610353 !26387943     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=26387943 &cmd=llinks): Failed to open stream: HTTP request failed! 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Machine-Learning-Based Analysis in Genome-Edited Cells Reveals the Efficiency of Clathrin-Mediated Endocytosis |pdf=|usr=}}{{26387943 }} gab.com Text Machine-Learning-Based Analysis in Genome-Edited Cells Reveals the Efficiency of Clathrin-Mediated Endocytosis JO: Cell Rep http://www.kidney.de/pget.php?&tw=1&pmid=26387943 #FOAvip Cells internalize various molecules through clathrin-mediated endocytosis (CME). Previous live-cell imaging studies suggested that CME is inefficient, with about half of the events terminated. These CME efficiency estimates may have been confounded by overexpression of fluorescently tagged proteins and inability to filter out false CME sites. Here, we employed genome editing and machine learning to identify and analyze authentic CME sites. We examined CME dynamics in cells that express fluorescent fusions of two defining CME proteins, AP2 and clathrin. Support vector machine classifiers were built to identify and analyze authentic CME sites. From inception until disappearance, authentic CME sites contain both AP2 and clathrin, have the same degree of limited mobility, continue to accumulate AP2 and clathrin over lifetimes >?20 s, and almost always form vesicles as assessed by dynamin2 recruitment. Sites that contain only clathrin or AP2 show distinct dynamics, suggesting they are not part of the CME pathway. Twit Text FOAVip Machine-Learning-Based Analysis in Genome-Edited Cells Reveals the Efficiency of Clathrin-Mediated Endocytosis ????Cell Rep http://www.kidney.de/pget.php?&tw=1&pmid=26387943 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=26387943 #FOAvip English Wikipedia <ref>{{Cite pmid|26387943 }}</ref> Machine-Learning-Based Analysis in Genome-Edited Cells Reveals the Efficiency of Clathrin-Mediated Endocytosis #MMPMID26387943 Hong SH ; Cortesio CL ; Drubin DG Cell Rep 2015[Sep]; 12 (12 ): 2121-30 PMID26387943 show ga Cells internalize various molecules through clathrin-mediated endocytosis (CME). Previous live-cell imaging studies suggested that CME is inefficient, with about half of the events terminated. These CME efficiency estimates may have been confounded by overexpression of fluorescently tagged proteins and inability to filter out false CME sites. Here, we employed genome editing and machine learning to identify and analyze authentic CME sites. We examined CME dynamics in cells that express fluorescent fusions of two defining CME proteins, AP2 and clathrin. Support vector machine classifiers were built to identify and analyze authentic CME sites. From inception until disappearance, authentic CME sites contain both AP2 and clathrin, have the same degree of limited mobility, continue to accumulate AP2 and clathrin over lifetimes >?20 s, and almost always form vesicles as assessed by dynamin2 recruitment. Sites that contain only clathrin or AP2 show distinct dynamics, suggesting they are not part of the CME pathway. |*Genome, Human [MESH] |*Support Vector Machine [MESH] |Adaptor Protein Complex 2/genetics/*metabolism [MESH] |Base Sequence [MESH] |Cell Line, Tumor [MESH] |Clathrin/genetics/*metabolism [MESH] |Dynamin II [MESH] |Dynamins/genetics/metabolism [MESH] |Endocytosis/*genetics [MESH] |Epithelial Cells/cytology/*metabolism [MESH] |Exons [MESH] |Female [MESH] |Humans [MESH] |Introns [MESH] |Mammary Glands, Human/cytology/metabolism [MESH]Machine-Learning-Based Analysis in Genome-Edited Cells Reveals the Eff(epmc).pdf DeepDyve Pubget Overpricing