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10.1039/c6ib00139d http://scihub22266oqcxt.onion/10.1039/c6ib00139d C5417362!5417362!27722556     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=27722556&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 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Integr+Biol+(Camb) 2016 ; 8 (11): 1133-44 Nephropedia Template TP {{tp|p=27722556|t=2016. Morphological Single Cell Profiling of the Epithelial-Mesenchymal Transition |pdf=|usr=}}{{27722556}} gab.com Text Morphological Single Cell Profiling of the Epithelial-Mesenchymal Transition JO: Integr Biol (Camb) http://www.kidney.de/pget.php?&tw=1&pmid=27722556 #FOAvip Single cells respond heterogeneously to biochemical treatments, which can complicate the analysis of in vitro and in vivo experiments. In particular, stressful perturbations may induce the epithelial-mesenchymal transition (EMT), a transformation through which compact, sensitive cells adopt an elongated, resistant phenotype. However, classical biochemical measurements based on population averages over large numbers cannot resolve single cell heterogeneity and plasticity. Here, we use high content imaging of single cell morphology to classify distinct phenotypic subpopulations after EMT. We first characterize a well-defined EMT induction through the master regulator Snail in mammary epithelial cells over 72 h. We find that EMT is associated with increased vimentin area as well as elongation of the nucleus and cytoplasm. These morphological features were integrated into a Gaussian mixture model that classified epithelial and mesenchymal phenotypes with >92% accuracy. We then applied this analysis to heterogeneous populations generated from less controlled EMT-inducing stimuli, including growth factors (TGF-?1), cell density, and chemotherapeutics (Taxol). Our quantitative, single cell approach has the potential to screen large heterogeneous cell populations for many types of phenotypic variability, and may thus provide a predictive assay for the preclinical assessment of targeted therapeutics. Twit Text FOAVip Morphological Single Cell Profiling of the Epithelial-Mesenchymal Transition ????Integr Biol (Camb) http://www.kidney.de/pget.php?&tw=1&pmid=27722556 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=27722556 #FOAvip English Wikipedia <ref>{{Cite pmid|27722556}}</ref> Morphological Single Cell Profiling of the Epithelial-Mesenchymal Transition #MMPMID27722556 Leggett SE; Sim JY; Rubins JE; Neronha ZJ; Williams EK; Wong IY Integr Biol (Camb) 2016[Nov]; 8 (11): 1133-44 PMID27722556show ga Single cells respond heterogeneously to biochemical treatments, which can complicate the analysis of in vitro and in vivo experiments. In particular, stressful perturbations may induce the epithelial-mesenchymal transition (EMT), a transformation through which compact, sensitive cells adopt an elongated, resistant phenotype. However, classical biochemical measurements based on population averages over large numbers cannot resolve single cell heterogeneity and plasticity. Here, we use high content imaging of single cell morphology to classify distinct phenotypic subpopulations after EMT. We first characterize a well-defined EMT induction through the master regulator Snail in mammary epithelial cells over 72 h. We find that EMT is associated with increased vimentin area as well as elongation of the nucleus and cytoplasm. These morphological features were integrated into a Gaussian mixture model that classified epithelial and mesenchymal phenotypes with >92% accuracy. We then applied this analysis to heterogeneous populations generated from less controlled EMT-inducing stimuli, including growth factors (TGF-?1), cell density, and chemotherapeutics (Taxol). Our quantitative, single cell approach has the potential to screen large heterogeneous cell populations for many types of phenotypic variability, and may thus provide a predictive assay for the preclinical assessment of targeted therapeutics. äMorphological Single Cell Profiling of the Epithelial-Mesenchymal Tran(epmc).pdf DeepDyve Pubget Overpricing