Sign in
BioengineeringbioRxiv
Preprint

Granular Extracellular Matrix (gECM) Hydrogel Wafers as Shelf-Stable 2.5D Substrates for Microphysiological Modeling

Juliet O. HeyeiD, Shannon A. Blanco, Stephanie Ellyse SchneideriD, Shantae Gallegos, Jeanne E. BartholdiD, Michael Floren, Victor Acosta, Stéphane AvriliD, Corey P. NeuiD

Abstract

Understanding disease pathology and evaluating emerging therapeutics require in vitro models that accurately recapitulate human tissue environments. However, existing microphysiological systems often compromise either biomimicry or ease-of-use, limiting widespread adoption and scalability. Here, we present lyophilized granular extracellular matrix (gECM) hydrogel wafers as shelf-stable, humanized 2.5D substrates that enable physiologically relevant modeling while simplifying integration into experimental workflows. Derived from decellularized human cartilage and bone, gECM hydrogel wafers retain tissue-specific architecture while introducing microporosity and surface topography through lyophilization. These wafers maintain swelling behavior, structural integrity, and mechanical properties over three months of room-temperature storage, allowing pre-fabrication and on-demand use without loss of function. gECM hydrogel wafers support direct cell seeding without encapsulation and sustain viability and proliferation of human adipose-derived mesenchymal stromal cells over 21 days, with gene expression trends comparable to 3D gECM hydrogels. Furthermore, wafers can be readily integrated into microfluidic systems with in situ hydration and transport of large biomolecules. Together, this platform bridges the gap between conventional 2D culture ease-of-use and 3D biomaterial biomimicry, providing a scalable and physiologically relevant in vitro model approach for high-throughput disease studies and therapeutic screening.

PDFDOI

02 /Specification & Classification

Click any tag to browse matching papers

Reproducibility ledger

Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.

Sign in to file a reproducibility report.