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The extracellular matrix (ECM) is a fundamental structural and biochemical scaffold that defines the mechanical properties of tissues and supports their biological functions. For instance, elastic tissues such as the lungs and arteries are enriched in collagen- and elastin-based ECM that provides the mechanical resilience required for repeated stretch-recoil cycles during respiration. In contrast, the central nervous system contains glycosaminoglycan-rich ECM that creates a highly compliant environment optimized for neuronal differentiation and signaling1. Across diverse tissues within the body, tissue stiffness spans several orders of magnitude, ranging from hundreds of pascals in soft tissues like the brain and lungs to megapascal and gigapascal levels of stiffness in tendons and bone, respectively2,3. These mechanical differences are not merely structural but also play a critical role in regulating cell behavior4,5. For example, mesenchymal stem cells undergo stiffness-dependent lineage specification, adopting neuronal fates on soft substrates, myogenic fates on intermediate substrates, and osteogenic fates on stiff substrates6. Pathological alterations in ECM stiffness can also drive aberrant cellular responses and contribute to disease initiation and progression7,8,9. Similarly, changes in ECM properties around cells also alter organelle function and various cell behaviors10,11. Despite the recognized importance of ECM in guiding signaling, organelle function, and disease pathogenesis, the mechanisms that cells sense and transduce ECM cues into biochemical signals remain incompletely understood.
Progress in understanding cell-ECM crosstalk has been hindered in part by the limited availability of experimental platforms that offer precise control over ECM properties while remaining fully compatible with standard biochemical assays and imaging workflows. In addition, studying cell-ECM interactions is often perceived as technically challenging, as it requires cross-disciplinary expertise spanning materials science, cell biology, and bioengineering. This method aims to address these challenges by providing step-by-step protocols for generating PA- and silicone-based ECM substrates with defined mechanical properties, which can be readily prepared in most wet-lab settings.
PA hydrogels with tunable stiffness are staples of mechanobiology; however, their utility is often hampered by high cost of reagents for ECM conjugation, inconsistent surface functionalization, and poor compatibility with large-scale biochemical workflows. In addition, practical and standardized approaches for sample harvesting and imaging across substrates of varying stiffness are not well established. These bottlenecks can be addressed using our described PA gel platform that is characterized by four key innovations: (i) substantial cost reduction, (ii) reproducible functionalization chemistry, (iii) scalable production through reusable hardware, and (iv) seamless integration with many conventional cell biology and biochemical assays. This approach utilizes different ratios of acrylamide and bisacrylamide to generate hydrogels with distinct mechanical properties (Table 1). PA gels are inert and fail to directly conjugate to ECM proteins. Therefore, a UV-initiated free radical polymerization reaction is used to conjugate a thin, crosslinked network of di(trimethylolpropane) tetraacrylate, acrylic acid N-hydroxysuccinimide ester (NHS-acrylate), and bisacrylamide onto the surface of PA gels (Figure 1). This network creates a dual-action adhesive surface for ECM proteins: the NHS-acrylate provides stable covalent anchoring for ECM proteins, while the tetraacrylate facilitates uniform ECM protein adsorption12. In addition, we provide methods demonstrating how to harvest proteins and nucleic acids such as RNA from these substrates in a manner compatible with downstream cell biology analyses such as western blotting and reverse transcription-quantitative polymerase chain reaction (RT-qPCR). Furthermore, the resulting compliant PA substrates also support spheroid formation and position spheroids within a consistent focal plane, enabling systematic analysis of 3D cellular behaviors13.
In contrast, the optical limitations of PA hydrogels restrict their use in advanced imaging modalities, particularly total internal reflection fluorescence (TIRF) microscopy14. To address this constraint, we developed mechanically tunable silicone-based ECM substrates optimized for TIRF imaging. These materials exhibit a refractive index closely matched to glass while maintaining tunable stiffness across a broad range (Figure 2A). A thin coat of silicone gel, with varying part ratios, is spin-coated onto a cover glass prior to ECM conjugation (Figure 2B and Table 2). However, the intrinsic hydrophobicity and chemical inertness of silicone preclude direct ECM conjugation. We therefore implement a surface modification strategy to enable covalent attachment of ECM ligands. Oxygen plasma treatment introduces hydroxyl groups onto the silicone surface (Figure 2C). Subsequently, (3-aminopropyl)triethoxysilane (APTES) converts these hydroxyl groups into reactive amine. 1-ethyl-3-(3-dimethylaminopropyl) carbodiimide hydrochloride (EDC), a zero-length carbodiimide crosslinker, then facilitates the formation of covalent amide bonds between the amine groups on the gel surface and the carboxyl groups on ECM proteins.
Collectively, these ECM platforms provide cost-effective, reproducible, and scalable systems for probing ECM-stiffness-dependent signaling mechanisms. Their flexibility permits seamless integration with biochemical assays, high-resolution imaging, and high-throughput workflows, enabling the investigation of how ECM stiffness influences cellular behavior and drives disease progression.