Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/34703
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dc.titleCOMPUTATIONAL BIOENGINEERING OF THE GASTROINTESTINAL TRACT
dc.contributor.authorPOH YONG CHENG
dc.date.accessioned2012-09-14T18:00:13Z
dc.date.available2012-09-14T18:00:13Z
dc.date.issued2012-05-14
dc.identifier.citationPOH YONG CHENG (2012-05-14). COMPUTATIONAL BIOENGINEERING OF THE GASTROINTESTINAL TRACT. ScholarBank@NUS Repository.
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/34703
dc.description.abstractThe pathogenic potential of sodium channel related mutations of R76C and G298S in causing gastrointestinal (GI) motility disorders was computationally investigated from an electrophysiological perspective, through integrative multi-scale modelling. Models describing the wild-type and mutation-altered sodium channels, in key motility cell-types of interstitial cell of Cajal (ICC) and smooth muscle cell (SMC), were developed for investigation at higher spatial scales. A single cell model of the small intestinal SMC was developed, and together with well-established single cell gastric models of ICC and SMC, they were used to investigate effects of the mutations on cellular electrophysiology. To further study the mutations, a gastric tissue model that incorporates multiple ICC and SMC through an extended bidomain approach, with proper electrical entrainment and propagation, was created. The R76C mutation presented a greater potential than the G298S mutation in altering multi-scale electrical behaviour. An electrical disruption may change smooth muscle electromechanics and cause dysmotility.
dc.language.isoen
dc.subjectMulti-scale computational modelling, Ion channels, Smooth muscle cell, Sodium channelopathy, Motility disorder, Electromechanics
dc.typeThesis
dc.contributor.departmentNUS GRAD SCH FOR INTEGRATIVE SCI & ENGG
dc.contributor.supervisorBUIST, MARTIN LINDSAY
dc.description.degreePh.D
dc.description.degreeconferredDOCTOR OF PHILOSOPHY
dc.identifier.isiutNOT_IN_WOS
Appears in Collections:Ph.D Theses (Open)

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