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10.3389/fmicb.2015.00534 http://scihub22266oqcxt.onion/10.3389/fmicb.2015.00534 C4446547!4446547!26074911     free     free     free Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Front+Microbiol 2015 ; 6 (ä): ä Nephropedia Template TP {{tp|p=26074911|t=2015. Mathematical modeling of dormant cell formation in growing biofilm |pdf=|usr=}}{{26074911}} gab.com Text Mathematical modeling of dormant cell formation in growing biofilm JO: Front Microbiol http://www.kidney.de/pget.php?&tw=1&pmid=26074911 #FOAvip Understanding the dynamics of dormant cells in microbial biofilms, in which the bacteria are embedded in extracellular matrix, is important for developing successful antibiotic therapies against pathogenic bacteria. Although some of the molecular mechanisms leading to bacterial persistence have been speculated in planktonic bacterial cell, how dormant cells emerge in the biofilms of pathogenic bacteria such as Pseudomonas aeruginosa remains unclear. The present study proposes four hypotheses of dormant cell formation; stochastic process, nutrient-dependent, oxygen-dependent, and time-dependent processes. These hypotheses were implemented into a three-dimensional individual-based model of biofilm formation. Numerical simulations of the different mechanisms yielded qualitatively different spatiotemporal distributions of dormant cells in the growing biofilm. Based on these simulation results, we discuss what kinds of experimental studies are effective for discriminating dormant cell formation mechanisms in biofilms. Twit Text FOAVip Mathematical modeling of dormant cell formation in growing biofilm ????Front Microbiol http://www.kidney.de/pget.php?&tw=1&pmid=26074911 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=26074911 #FOAvip English Wikipedia <ref>{{Cite pmid|26074911}}</ref> Mathematical modeling of dormant cell formation in growing biofilm #MMPMID26074911 Chihara K; Matsumoto S; Kagawa Y; Tsuneda S Front Microbiol 2015[]; 6 (ä): ä PMID26074911show ga Understanding the dynamics of dormant cells in microbial biofilms, in which the bacteria are embedded in extracellular matrix, is important for developing successful antibiotic therapies against pathogenic bacteria. Although some of the molecular mechanisms leading to bacterial persistence have been speculated in planktonic bacterial cell, how dormant cells emerge in the biofilms of pathogenic bacteria such as Pseudomonas aeruginosa remains unclear. The present study proposes four hypotheses of dormant cell formation; stochastic process, nutrient-dependent, oxygen-dependent, and time-dependent processes. These hypotheses were implemented into a three-dimensional individual-based model of biofilm formation. Numerical simulations of the different mechanisms yielded qualitatively different spatiotemporal distributions of dormant cells in the growing biofilm. Based on these simulation results, we discuss what kinds of experimental studies are effective for discriminating dormant cell formation mechanisms in biofilms. äMathematical modeling of dormant cell formation in growing biofilm (epmc).pdf DeepDyve Pubget Overpricing