A new tissue-agnostic microfluidic device to model physiology and disease: the lattice platform

一种用于模拟生理和疾病的新型组织无关微流体装置:晶格平台

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作者:Hannes Campo, Didi Zha, Pawat Pattarawat, Jose Colina, Delong Zhang, Alina Murphy, Julia Yoon, Angela Russo, Hunter B Rogers, Hoi Chang Lee, Jiyang Zhang, Katy Trotter, Sarah Wagner, Asia Ingram, Mary Ellen Pavone, Sara Fernandez Dunne, Christina E Boots, Margrit Urbanek, Shuo Xiao, Joanna E Burdett

Abstract

To accurately phenocopy human biology in vitro, researchers have been reducing their dependence on standard, static two-dimensional (2D) cultures and instead are moving towards three-dimensional (3D) and/or multicellular culture techniques. While these culture innovations are becoming more commonplace, there is a growing body of research that illustrates the benefits and even necessity of recapitulating the dynamic flow of nutrients, gas, waste exchange and tissue interactions that occur in vivo. However, cost and engineering complexity are two main factors that hinder the adoption of these technologies and incorporation into standard laboratory workflows. We developed LATTICE, a plug-and-play microfluidic platform able to house up to eight large tissue or organ models that can be cultured individually or in an interconnected fashion. The functionality of the platform to model both healthy and diseased tissue states was demonstrated using 3D cultures of reproductive tissues including murine ovarian tissues and human fallopian tube explants (hFTE). When exogenously exposed to pathological doses of gonadotropins and androgens to mimic the endocrinology of polycystic ovarian syndrome (PCOS), subsequent ovarian follicle development, hormone production and ovulation copied key features of this endocrinopathy. Further, hFTE cilia beating decreased significantly only when experiencing continuous media exchanges. We were then able to endogenously recreate this phenotype on the platform by dynamically co-culturing the PCOS ovary and hFTE. LATTICE was designed to be customizable with flexibility in 3D culture formats and can serve as a powerful automated tool to enable the study of tissue and cellular dynamics in health and disease in all fields of research.

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