TY - JOUR
KW - Automation
KW - blood vessel-on-a-chip
KW - high-throughput modeling
KW - vascular biology
KW - vascular disease
AU - Dawn S. Y. Lin
AU - Hanieh Mohammad Hashemi
AU - Kimia Asadi Jozani
AU - Anushree Chakravarty
AU - Sonya Kouthouridis
AU - Jessica Bonanno
AU - Nicky Anvari
AU - Shravanthi Rajasekar
AU - Feng Zhang
AU - Richard Y. Cheng
AU - Narendra Kumar Singh
AU - Luis Miguel Medina
AU - Marc Durante
AU - Yufang He
AU - Boyang Zhang
AB - There is a growing demand for automated organ-on-a-chip platforms that are compatible with off-the-shelf robotic liquid-handling systems and plate readers to improve reproducibility and scalable analysis. In this work, we present an end-to-end automated method for fabricating tubular blood vessel models at scale using a custom 384-well open-top platform (AngioPlate384), designed to support integration with liquid-handling systems and large-scale analysis. Our approach enables the generation of over 100 perfusable blood vessels fully embedded in hydrogel and supported by stromal cells (fibroblasts and pericytes), allowing both luminal and interstitial flow. Using this platform, we demonstrated that stromal co-culture significantly enhances vascular barrier function, and results in an altered response to chemotherapeutics and to inflammatory stressors. This platform offers a robust and scalable approach to generating customizable blood vessel-on-a-chip models for vascular biology studies, disease modeling, and preclinical testing. Its compatibility with automation and standardized workflows positions it as a powerful tool to accelerate the adoption of microphysiological systems in pharmaceutical research.
BT - Advanced Healthcare Materials
DO - 10.1002/adhm.202504933
IS - n/a
LA - en
N2 - There is a growing demand for automated organ-on-a-chip platforms that are compatible with off-the-shelf robotic liquid-handling systems and plate readers to improve reproducibility and scalable analysis. In this work, we present an end-to-end automated method for fabricating tubular blood vessel models at scale using a custom 384-well open-top platform (AngioPlate384), designed to support integration with liquid-handling systems and large-scale analysis. Our approach enables the generation of over 100 perfusable blood vessels fully embedded in hydrogel and supported by stromal cells (fibroblasts and pericytes), allowing both luminal and interstitial flow. Using this platform, we demonstrated that stromal co-culture significantly enhances vascular barrier function, and results in an altered response to chemotherapeutics and to inflammatory stressors. This platform offers a robust and scalable approach to generating customizable blood vessel-on-a-chip models for vascular biology studies, disease modeling, and preclinical testing. Its compatibility with automation and standardized workflows positions it as a powerful tool to accelerate the adoption of microphysiological systems in pharmaceutical research.
EP - e04933
ST - Automating Vascular Biology
T2 - Advanced Healthcare Materials
TI - Automating Vascular Biology: An End-to-End Automated Workflow for High-Throughput Blood Vessel-on-a-Chip Production and Multi-Site Validation
UR - https://onlinelibrary.wiley.com/doi/abs/10.1002/adhm.202504933
VL - n/a
Y2 - 2026-01-09
SN - 2192-2659
ER -