Increasing throughput of AFM-based single cell adhesion measurements through multisubstrate surfaces


Loading...

Date

2015-01-14

Publication Type

Journal Article

ETH Bibliography

yes

Citations

Altmetric

Data

Abstract

Mammalian cells regulate adhesion by expressing and regulating a diverse array of cell adhesion molecules on their cell surfaces. Since different cell types express distinct sets of cell adhesion molecules, substrate-specific adhesion is cell type- and condition-dependent. Single-cell force spectroscopy is used to quantify the contribution of cell adhesion molecules to adhesion of cells to specific substrates at both the cell and single molecule level. However, the low throughput of single-cell adhesion experiments greatly limits the number of substrates that can be examined. In order to overcome this limitation, segmented polydimethylsiloxane (PDMS) masks were developed, allowing the measurement of cell adhesion to multiple substrates. To verify the utility of the masks, the adhesion of four different cell lines, HeLa (Kyoto), prostate cancer (PC), mouse kidney fibroblast and MDCK, to three extracellular matrix proteins, fibronectin, collagen I and laminin 332, was examined. The adhesion of each cell line to different matrix proteins was found to be distinct; no two cell lines adhered equally to each of the proteins. The PDMS masks improved the throughput limitation of single-cell force spectroscopy and allowed for experiments that previously were not feasible. Since the masks are economical and versatile, they can aid in the improvement of various assays.

Publication status

published

Editor

Book title

Volume

6 (1)

Pages / Article No.

157 - 166

Publisher

Beilstein-Institut zur Förderung der Chemischen Wissenschaften

Event

Edition / version

Methods

Software

Geographic location

Date collected

Date created

Subject

Atomic force microscopy; Cell adhesion; Collagen I; Fibroblasts; Fibronectin; HeLa; Laminin; MDCK; PC3; Single cell assay; Single cell force spectroscopy

Organisational unit

03870 - Müller, Daniel J. / Müller, Daniel J. check_circle

Notes

Funding

Related publications and datasets