COOKIES: By using this website you agree that we can place Google Analytics Cookies on your device for performance monitoring. |
University of Cambridge > Talks.cam > "Life Sciences Masterclass" > Miniguts: A System to Understand Intestinal Pathologies
Miniguts: A System to Understand Intestinal PathologiesAdd to your list(s) Download to your calendar using vCal
If you have a question about this talk, please contact Postdoc Masterclass. Animal and cellular models are extensively used to understand biological processes. However, most of these models are inadequate in recreating human tissues, hampering the translation of knowledge we get from them. Organoids are a novel in vitro system generated from human primary tissues and recapitulating their architecture and cellular composition. Miniguts (enteric organoids) are 3D cell clusters generated from gut tissue showing similar characteristics and function to the gut. In this masterclass, we will give an overview of organoids and how this system can be used to study human intestinal diseases from noninfectious and infectious origin. Specifically, utilizing human miniguts we study the role of Interleukin-22 and the microbiota in the pathogenesis of IBD . We also use mouse miniguts to understand early interactions of the intestinal epithelia with whipworms, which are parasitic worms causing Trichuriasis, a neglected tropical disease. This talk is part of the "Life Sciences Masterclass" series. This talk is included in these lists:
Note that ex-directory lists are not shown. |
Other lists2016 lists Cambridge Realist Workshop Looking at Language Acquisition (LALA) XIII - A meeting of Essex and Cambridge PhD studentsOther talksSelf-assembling Organic Nanostructures for Solar Energy Conversion Bioengineering conference: Innovation through convergence Input-to-State Stability for complex dynamics: From global to almost global… and back Tracking neurobiological factors of language developmental difficulties Janis-Newman generation technique Multiscale methods and recursion in data science |