Parallel on-chip micropipettes enabling quantitative multiplexed characterization of vesicle mechanics and cell aggregates rheology.


Journal

APL bioengineering
ISSN: 2473-2877
Titre abrégé: APL Bioeng
Pays: United States
ID NLM: 101726398

Informations de publication

Date de publication:
Jun 2024
Historique:
received: 21 12 2023
accepted: 24 05 2024
medline: 19 6 2024
pubmed: 19 6 2024
entrez: 19 6 2024
Statut: epublish

Résumé

Micropipette aspiration (MPA) is one of the gold standards for quantifying biological samples' mechanical properties, which are crucial from the cell membrane scale to the multicellular tissue. However, relying on the manipulation of individual home-made glass pipettes, MPA suffers from low throughput and no automation. Here, we introduce the sliding insert micropipette aspiration method, which permits parallelization and automation, thanks to the insertion of tubular pipettes, obtained by photolithography, within microfluidic channels. We show its application both at the lipid bilayer level, by probing vesicles to measure membrane bending and stretching moduli, and at the tissue level by quantifying the viscoelasticity of 3D cell aggregates. This approach opens the way to high-throughput, quantitative mechanical testing of many types of biological samples, from vesicles and individual cells to cell aggregates and explants, under dynamic physico-chemical stimuli.

Identifiants

pubmed: 38894959
doi: 10.1063/5.0193333
pii: 5.0193333
pmc: PMC11184969
doi:

Types de publication

Journal Article

Langues

eng

Pagination

026122

Informations de copyright

© 2024 Author(s).

Déclaration de conflit d'intérêts

The authors have no conflicts to disclose.

Auteurs

Sylvain Landiech (S)

LAAS-CNRS, Université de Toulouse, CNRS, Toulouse, France.

Marianne Elias (M)

LAAS-CNRS, Université de Toulouse, CNRS, Toulouse, France.

Pierre Lapèze (P)

LAAS-CNRS, Université de Toulouse, CNRS, Toulouse, France.

Hajar Ajiyel (H)

LAAS-CNRS, Université de Toulouse, CNRS, Toulouse, France.

Marine Plancke (M)

LAAS-CNRS, Université de Toulouse, CNRS, Toulouse, France.

Blanca González-Bermúdez (B)

Center for Biomedical Technology, Universidad Politécnica de Madrid, Pozuelo de Alarcón, Spain and Department of Materials Science, ETSI de Caminos, Canales y Puertos, Universidad Politécnica de Madrid, Madrid, Spain.

Adrian Laborde (A)

LAAS-CNRS, Université de Toulouse, CNRS, Toulouse, France.

Fabien Mesnilgrente (F)

LAAS-CNRS, Université de Toulouse, CNRS, Toulouse, France.

David Bourrier (D)

LAAS-CNRS, Université de Toulouse, CNRS, Toulouse, France.

Debora Berti (D)

CSGI and Department of Chemistry, University of Florence, Sesto Fiorentino, Italy.

Costanza Montis (C)

CSGI and Department of Chemistry, University of Florence, Sesto Fiorentino, Italy.

Laurent Mazenq (L)

LAAS-CNRS, Université de Toulouse, CNRS, Toulouse, France.

Jérémy Baldo (J)

LAAS-CNRS, Université de Toulouse, CNRS, Toulouse, France.

Clément Roux (C)

SoftMat, Université de Toulouse, CNRS, UPS, Toulouse, France.

Morgan Delarue (M)

LAAS-CNRS, Université de Toulouse, CNRS, Toulouse, France.

Pierre Joseph (P)

LAAS-CNRS, Université de Toulouse, CNRS, Toulouse, France.

Classifications MeSH