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High-Throughput Functional System for Encapsulated Networks of Model Cell Membranes

Date Issued
May 1, 2017
Author(s)
Nguyen, Mary-Anne Kim Anh  
Advisor(s)
Stephen A. Sarles
Additional Advisor(s)
C. Patrick Collier
Scott Lenaghan
Paul Dalhaimer
Eric Freeman
Permanent URI
https://trace.tennessee.edu/handle/20.500.14382/25633
Abstract

Synthetic lipid bilayers provide models of cell membranes to study biomolecular interactions and signal transduction. The droplet interface bilayer (DIB) is a highly versatile technique for assembling planar lipid membranes between water droplets in oil. The DIB method thus provides a unique capability for developing digital, droplet-based membrane platforms for rapid membrane characterization, drug screening and ion channel recordings. In this work, a new microfluidic system is presented that automates droplet generation, sorting, and sequential trapping in designated locations to enable rapid assembly of arrays of DIBs along with in situ electrical measurements. This platform provides repeatable processes for forming long-lasting bilayer arrays for numerous membrane-based applications. Studies on asymmetric lipid membranes are performed to understanding the effects of peptides on the disruption of asymmetric lipid membranes and intramembrane potential. In addition, an automated microfluidic array is applied to isolate and transform single cells to improve the ability to study gene transformation on an individual cell basis, with greater spatial and temporal resolution of each cell’s response.

Subjects

droplet interface bil...

microfluidics

hydrodynamic trapping...

cell membranes

Disciplines
Biomedical Engineering and Bioengineering
Degree
Doctor of Philosophy
Major
Biomedical Engineering
Embargo Date
May 15, 2018
File(s)
Thumbnail Image
Name

Dissertation_MNguyen_FinalSubmit.pdf

Size

16.03 MB

Format

Adobe PDF

Checksum (MD5)

37054df348fd769b48f5d25f1f65eb2c

Thumbnail Image
Name

Dissertation_draft.docx

Size

6.42 MB

Format

Microsoft Word XML

Checksum (MD5)

f3bf8a7c9f810a97b952ba8986dd89cf


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