Automated Fabrication of Streptavidin-Based Self-assembled Materials for High-Content Analysis of Cellular Response to Growth Factors
Source abstract
Abstract
The automation of liquid-handling routines offers great potential for fast, reproducible, and labor-reduced biomaterial fabrication but also requires the development of special protocols. Competitive systems demand for a high degree in miniaturization and parallelization while maintaining flexibility regarding the experimental design. Today, there are only a few possibilities for automated fabrication of biomaterials inside multiwell plates. We have previously demonstrated that streptavidin-based biomimetic platforms can be employed to study cellular behaviors on biomimetic surfaces. So far, these self-assembled materials were made by stepwise assembly of the components using manual pipetting. In this work, we introduce for the first time a fully automated and adaptable workflow to functionalize glass-bottom multiwell plates with customized biomimetic platforms deposited in single wells using a liquid-handling robot. We then characterize the cell response using automated image acquisition and subsequent analysis. Furthermore, the molecular surface density of the biomimetic platforms was characterized in situ using fluorescence-based image correlation spectroscopy. These measurements were in agreement with standard ex situ spectroscopic ellipsometry measurements. Due to automation, we could do a proof of concept to study the effect of heparan sulfate on the bioactivity of bone morphogenetic proteins on myoblast cells, using four different bone morphogenetic proteins (BMPs) (2, 4, 6, and 7) in parallel, at five increasing concentrations. Using such an automated self-assembly of biomimetic materials, it may be envisioned to further investigate the role of a large variety of extracellular matrix (ECM) components and growth factors on cell signaling.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: 3D Printing in Biomedical Research · Cell Image Analysis Techniques · Advanced Biosensing Techniques and Applications
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Univ. Grenoble Alpes, CNRS, Grenoble INP**, LMGP, 38000 Grenoble, France
Univ. Grenoble Alpes, CEA, INSERM, U1292 Biosanté, CNRS EMR 5000 BRM, 38000 Grenoble, France
Univ. Grenoble Alpes, CEA, Leti, F-38000 Grenoble, France
Univ. Grenoble Alpes, CNRS, LiPhy, 38000 Grenoble, France
Funding
Agence Nationale de la Recherche · Fondation pour la Recherche M?dicale · Universit? Grenoble Alpes · Centre National de la Recherche Scientifique · H2020 European Research Council · TEC21 Labex · Labex Gral
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