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Microfluidic characterization of biomimetic membrane mechanics with an on-chip micropipette

Authors :
Marianne Elias
Adrien Dutoya
Adrian Laborde
Aurélie Lecestre
Costanza Montis
Lucrezia Caselli
Debora Berti
Barbara Lonetti
Clément Roux
Pierre Joseph
Source :
Micro and Nano Engineering, Vol 8, Iss , Pp 100064- (2020)
Publication Year :
2020
Publisher :
Elsevier, 2020.

Abstract

The mechanic properties of cell membranes control many biological processes. The complexity of natural membranes is often dealt with by building synthetic vesicles (Giant Unilamellar Vesicles, GUVs), which can be thought as micron-sized minimal cells. Micropipette aspiration technique is the gold standard to characterize membrane mechanics, but it involves manual, long and tedious experiments. Microfluidics is perfectly suited to handle GUVs and permits in particular to conceive on-chip micropipettes for automated, systematic studies of membrane mechanical moduli. We developed a microfabrication process that enables obtaining the required 3-level channels including a micropipette in the intermediate level, with micrometric alignment, sufficiently low adhesion and roughness. We extended the theoretical analysis of micropipette, valid for cylindrical geometries that microfabrication does not allow, to the on-chip geometry, by considering the deformation of a vesicle in a square cross-section trap. We confirmed the validity of our approach thanks to systematic experiments performed on GUVs with well-characterized compositions: the obtained values of the membrane stretching modulus are in quantitative agreement with the literature. As a case study, we used our device to show that GUVs challenged with copolymer micelles, typically used for drug delivery, displayed a significantly decrease of the membrane stretching modulus, which could mediate internalization of these nanovectors. This study opens the path to systematic studies of the influence of physico-chemical environment on the mechanics of cell membranes.

Details

Language :
English
ISSN :
25900072
Volume :
8
Issue :
100064-
Database :
Directory of Open Access Journals
Journal :
Micro and Nano Engineering
Publication Type :
Academic Journal
Accession number :
edsdoj.37ec2d90634696be4315d0d6807ae2
Document Type :
article
Full Text :
https://doi.org/10.1016/j.mne.2020.100064