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Biology subjects

Lind, J. U.

Publications and source records attributed to Lind, J. U..

2 recordsLinked to original sources

HYDRA: HYdrogel Dispensing with Robotic Automation for high throughput drug testing

Traditional plastic- and glass-based cell culture platforms lack physiological relevance which limits their predictive power in drug development. Organoids and organs-on-chip offer biomimicry in late preclinical stages but lack scalability for high-throughput screening (HTS) in earlier stages. In fact, even introducing the simplest critical biomimetic cue, thin hydrogel layers, into the small wells of HTS plates causes the formation of curved menisci that disrupt cell seeding and imaging. We introduce HYDRA (HYDrogels by Robotic liquid handling Automation), an automated method that enables consistent hydrogel fabrication in HTS plates. We used liquid handling robots to dispense hydrogel precursor solutions and avoid contact with the sidewalls to prevent meniscus formation. We used gelatin for its mild surfactant properties, which allow pinning of the droplets contact line, promoting uniform spread. Finally, we re-aspirated the excess liquid, leaving behind a hydrogel layer with controlled stiffness and thickness. We show compatibility with standard 96- and 384-well plates and integration with existing automated workflows, including quality control. We validated HYDRA in dose-response assays using anti-cancer drugs, genetically engineered epithelial cells, phase holography, and fluorescence microscopy. We believe that HYDRA provides a scalable, biomimetic, and therefore more predictive alternative for early- stage screening and in vitro drug testing.

bioengineering↗

Embedded 3D printing in self-healing annealable composites for functional patterning of human neural constructs

Human in vitro models of neural tissue with controllable cellular identity, tunable microenvironment, and defined spatial arrangement are needed to facilitate studies of brain development and disease. Towards this end, embedded printing in jammed microgel supports (i.e., granular gels) holds great promise as it allows precise and programmable patterning of extremely soft and compliant tissue constructs. However, in contrast to the vast material landscape available for bulk hydrogels, granular printing support formulations are restricted to a handful of materials without the ability for facile adjustment of biofunctional properties of the cellular microenvironment. Therefore, there has been a need for novel materials that take advantage of versatile biomimicry of bulk hydrogels while providing high-fidelity support for embedded printing akin to granular gels. To address this need, we present a modular platform for bioengineering of neuronal networks via direct embedded 3D printing of human stem cells inside Self-Healing Annealable Particle-Extracellular matrix (SHAPE) composites. SHAPE composites consist of soft microgels immersed in viscous extracellular-matrix solution to enable precise freeform patterning of human stem cells and consequent generation and long-term maintenance of mature subtype-specific neurons that extend projections within the volume of the annealed support. The developed approach further allows multi-ink deposition, live spatial and temporal monitoring of oxygen levels, as well as creation of vascular channels. Due to its modularity, SHAPE biomanufacturing toolbox not only offers a solution for functional modeling of mechanically sensitive neural constructs, but also has potential to be applied to a wide range of biomaterials with different crosslinking mechanisms to model tissues and diseases where recapitulation of complex architectural features and topological cues is essential.

bioengineering↗