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10.1038/srep32985 http://scihub22266oqcxt.onion/10.1038/srep32985 C5017129!5017129 !27609668     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=27609668 &cmd=llinks): Failed to open stream: HTTP request failed! 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Computational imaging reveals mitochondrial morphology as a biomarker of cancer phenotype and drug response |pdf=|usr=}}{{27609668 }} gab.com Text Computational imaging reveals mitochondrial morphology as a biomarker of cancer phenotype and drug response JO: Sci Rep http://www.kidney.de/pget.php?&tw=1&pmid=27609668 #FOAvip Mitochondria, which are essential organelles in resting and replicating cells, can vary in number, mass and shape. Past research has primarily focused on short-term molecular mechanisms underlying fission/fusion. Less is known about longer-term mitochondrial behavior such as the overall makeup of cell populations' morphological patterns and whether these patterns can be used as biomarkers of drug response in human cells. We developed an image-based analytical technique to phenotype mitochondrial morphology in different cancers, including cancer cell lines and patient-derived cancer cells. We demonstrate that (i) cancer cells of different origins, including patient-derived xenografts, express highly diverse mitochondrial phenotypes; (ii) a given phenotype is characteristic of a cell population and fairly constant over time; (iii) mitochondrial patterns correlate with cell metabolic measurements and (iv) therapeutic interventions can alter mitochondrial phenotypes in drug-sensitive cancers as measured in pre- versus post-treatment fine needle aspirates in mice. These observations shed light on the role of mitochondrial dynamics in the biology and drug response of cancer cells. On the basis of these findings, we propose that image-based mitochondrial phenotyping can provide biomarkers for assessing cancer phenotype and drug response. Twit Text FOAVip Computational imaging reveals mitochondrial morphology as a biomarker of cancer phenotype and drug response ????Sci Rep http://www.kidney.de/pget.php?&tw=1&pmid=27609668 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=27609668 #FOAvip English Wikipedia <ref>{{Cite pmid|27609668 }}</ref> Computational imaging reveals mitochondrial morphology as a biomarker of cancer phenotype and drug response #MMPMID27609668 Giedt RJ ; Fumene Feruglio P ; Pathania D ; Yang KS ; Kilcoyne A ; Vinegoni C ; Mitchison TJ ; Weissleder R Sci Rep 2016[Sep]; 6 (ä): 32985 PMID27609668 show ga Mitochondria, which are essential organelles in resting and replicating cells, can vary in number, mass and shape. Past research has primarily focused on short-term molecular mechanisms underlying fission/fusion. Less is known about longer-term mitochondrial behavior such as the overall makeup of cell populations' morphological patterns and whether these patterns can be used as biomarkers of drug response in human cells. We developed an image-based analytical technique to phenotype mitochondrial morphology in different cancers, including cancer cell lines and patient-derived cancer cells. We demonstrate that (i) cancer cells of different origins, including patient-derived xenografts, express highly diverse mitochondrial phenotypes; (ii) a given phenotype is characteristic of a cell population and fairly constant over time; (iii) mitochondrial patterns correlate with cell metabolic measurements and (iv) therapeutic interventions can alter mitochondrial phenotypes in drug-sensitive cancers as measured in pre- versus post-treatment fine needle aspirates in mice. These observations shed light on the role of mitochondrial dynamics in the biology and drug response of cancer cells. On the basis of these findings, we propose that image-based mitochondrial phenotyping can provide biomarkers for assessing cancer phenotype and drug response. |*Mitochondrial Dynamics [MESH] |Animals [MESH] |Biomarkers/*analysis [MESH] |Cell Line, Tumor [MESH] |Disease Models, Animal [MESH] |Drug Monitoring/*methods [MESH] |Humans [MESH] |Image Processing, Computer-Assisted/*methods [MESH] |Mice [MESH] |Neoplasm Transplantation [MESH] |Neoplasms/*pathology [MESH]Computational imaging reveals mitochondrial morphology as a biomarker (epmc).pdf DeepDyve Pubget Overpricing