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10.1038/srep18437 http://scihub22266oqcxt.onion/10.1038/srep18437 C4682070!4682070!26675084     free     free     free Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Sci+Rep 2015 ; 5 (ä): ä Nephropedia Template TP {{tp|p=26675084|t=2015. Evolution of cellular morpho-phenotypes in cancer metastasis |pdf=|usr=}}{{26675084}} gab.com Text Evolution of cellular morpho-phenotypes in cancer metastasis JO: Sci Rep http://www.kidney.de/pget.php?&tw=1&pmid=26675084 #FOAvip Intratumoral heterogeneity greatly complicates the study of molecular mechanisms driving cancer progression and our ability to predict patient outcomes. Here we have developed an automated high-throughput cell-imaging platform (htCIP) that allows us to extract high-content information about individual cells, including cell morphology, molecular content and local cell density at single-cell resolution. We further develop a comprehensive visually-aided morpho-phenotyping recognition (VAMPIRE) tool to analyze irregular cellular and nuclear shapes in both 2D and 3D microenvironments. VAMPIRE analysis of ~39,000 cells from 13 previously sequenced patient-derived pancreatic cancer samples indicate that metastasized cells present significantly lower heterogeneity than primary tumor cells. We found the same morphological signature for metastasis for a cohort of 10 breast cancer cell lines. We further decipher the relative contributions to heterogeneity from cell cycle, cell-cell contact, cell stochasticity and heritable morphological variations. Twit Text FOAVip Evolution of cellular morpho-phenotypes in cancer metastasis ????Sci Rep http://www.kidney.de/pget.php?&tw=1&pmid=26675084 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=26675084 #FOAvip English Wikipedia <ref>{{Cite pmid|26675084}}</ref> Evolution of cellular morpho-phenotypes in cancer metastasis #MMPMID26675084 Wu PH; Phillip JM; Khatau SB; Chen WC; Stirman J; Rosseel S; Tschudi K; Van Patten J; Wong M; Gupta S; Baras AS; Leek JT; Maitra A; Wirtz D Sci Rep 2015[]; 5 (ä): ä PMID26675084show ga Intratumoral heterogeneity greatly complicates the study of molecular mechanisms driving cancer progression and our ability to predict patient outcomes. Here we have developed an automated high-throughput cell-imaging platform (htCIP) that allows us to extract high-content information about individual cells, including cell morphology, molecular content and local cell density at single-cell resolution. We further develop a comprehensive visually-aided morpho-phenotyping recognition (VAMPIRE) tool to analyze irregular cellular and nuclear shapes in both 2D and 3D microenvironments. VAMPIRE analysis of ~39,000 cells from 13 previously sequenced patient-derived pancreatic cancer samples indicate that metastasized cells present significantly lower heterogeneity than primary tumor cells. We found the same morphological signature for metastasis for a cohort of 10 breast cancer cell lines. We further decipher the relative contributions to heterogeneity from cell cycle, cell-cell contact, cell stochasticity and heritable morphological variations. äEvolution of cellular morpho-phenotypes in cancer metastasis (epmc).pdf DeepDyve Pubget Overpricing