bioRxivDevelopmental BiologyPreprint
Scalable high-fidelity human vascularized cortical assembloids recapitulate neurovascular co-development and cell specialization
Shubhang BhallaiD, Belda Gülsuyu, Damian Sanchez, Jayden M. RossiD, Santhosh AruliD, Adnan GopinadhaniD, Muhammet M. Öztürk, Tanzila MukhtariD, Jonathan J. AugustiniD, J Wang, Joseph M. KimiD, Chang N. KimiD, Sena Oten, Yohei RoseniD, John M. BernabeiiD, Vijay LetchumaniD, S. M. Weinsheimer, Helen KimiD, Elizabeth Erin CrouchiD, Edward F. ChangiD, David H. HaussleriD, Mircea TeodorescuiD, Arnold R. KriegsteiniD, Tomasz Jan NowakowskiiD, Ethan A. WinkleriD
Abstract
Human cortical development involves the coupling of neurogenesis and cerebrovascular growth. However, interactions between neural and vascular cells are largely missing in most brain organoids, which are crucial models for studying neurodevelopment and disease. Here, we establish vascularized cortical assembloids (vCAs) by fusing mesoderm-derived vascular organoids (VOs) with cortical organoids (COs). vCAs self-assemble lumenized networks of endothelial cells, pericytes, and perivascular fibroblasts that acquire blood-brain barrier (BBB) specialization and arteriovenous specification in vitro. Single-cell RNA-sequencing and immunofluorescence imaging revealed that vascularization improves neuroepithelial architecture, reduces hypoxia and apoptosis, expands cortical progenitor pools, and enhances neuronal maturation and connectivity compared with COs. Moreover, atlas-level integration with human neurodevelopmental tissue and cross-protocol benchmarking demonstrate superior transcriptional concordance, especially for vascular cell and glial populations, relative to existing approaches. This scalable and reproducible platform improves fidelity and throughput for modeling human neurovascular co-development and enables systematic studies across brain regions and diseases using engineered or patient-derived iPSCs.
- organism: human
- assay: bulk RNA-seq
- research focus: cell type annotation
- research focus: clustering
- research focus: benchmarking
- approach: experimental assay
- Citations
- 1
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