Issue 3, 2013

An organotypic uniaxial strain model using microfluidics

Abstract

Traumatic brain injuries are the leading cause of disability each year in the US. The most common and devastating consequence is the stretching of axons caused by shear deformation that occurs during rotational acceleration of the brain during injury. The injury effects on axonal molecular and functional events are not fully characterized. We have developed a strain injury model that maintains the three dimensional cell architecture and neuronal networks found in vivo with the ability to visualize individual axons and their response to a mechanical injury. The advantage of this model is that it can apply uniaxial strains to axons that make functional connections between two organotypic slices and injury responses can be observed in real-time and over long term. This uniaxial strain model was designed to be capable of applying an array of mechanical strains at various rates of strain, thus replicating a range of modes of axonal injury. Long term culture, preservation of slice and cell orientation, and slice-slice connection on the device was demonstrated. The device has the ability to strain either individual axons or bundles of axons through the control of microchannel dimensions. The fidelity of the model was verified by observing characteristic responses to various strain injuries which included axonal beading, delayed elastic effects and breakdown in microtubules. Microtubule breakdown was shown to be dependent on the degree of the applied strain field, where maximal breakdown was observed at peak strain and minimal breakdown is observed at low strain. This strain injury model could be a powerful tool in assessing strain injury effects on functional axonal connections.

Graphical abstract: An organotypic uniaxial strain model using microfluidics

Supplementary files

Article information

Article type
Paper
Submitted
20 Sep 2012
Accepted
28 Nov 2012
First published
11 Dec 2012

Lab Chip, 2013,13, 432-442

An organotypic uniaxial strain model using microfluidics

J. Dollé, B. Morrison III, R. S. Schloss and M. L. Yarmush, Lab Chip, 2013, 13, 432 DOI: 10.1039/C2LC41063J

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