Annals of Clinical and Translational Neurology · 2023 · 26 citations · 51 references
Life SciencesBioengineeringNeuroscienceCellular NeuroscienceDevelopmental NeuroscienceTissue EngineeringBiomaterials For Tissue EngineeringCell-scaffold InteractionsEmbryonic Stem CellsExtracellular MatrixOrganoid EngineeringTissue Engineering ScaffoldsBrain Tissue EngineeringExtracellular Matrix Mimetic ScaffoldsExtracellular Matrix MimicryExtracellular Matrix MimicsExtracellular Matrix ScaffoldsHuman Embryonic Stem CellsOrganoidsPorous Polymer Scaffolds
OBJECTIVE: Brain organoids are miniaturized in vitro brain models generated from pluripotent stem cells, which resemble full-sized brain more closely than conventional two-dimensional cell cultures. Although brain organoids mimic the human brain's cell-to-cell network interactions, they generally fail to faithfully recapitulate cell-to-matrix interactions. Here, an engineered framework, called an engineered extracellular matrix (EECM), was developed to provide support and cell-to-matrix interactions to developing brain organoids. METHODS: We generated brain organoids using EECMs comprised of human fibrillar fibronectin supported by a highly porous polymer scaffold. The resultant brain organoids were characterized by immunofluorescence microscopy, transcriptomics, and proteomics of the cerebrospinal fluid (CSF) compartment. RESULTS: The interstitial matrix-mimicking EECM enhanced neurogenesis, glial maturation, and neuronal diversity from human embryonic stem cells versus conventional protein matrix (Matrigel). Additionally, EECMs supported long-term culture, which promoted large-volume organoids containing over 250 μL of CSF. Proteomics analysis of the CSF found it superseded previous brain organoids in protein diversity, as indicated by 280 proteins spanning 500 gene ontology pathways shared with adult CSF. INTERPRETATION: Engineered EECM matrices represent a major advancement in neural engineering as they have the potential to significantly enhance the structural, cellular, and functional diversity that can be achieved in advanced brain models.
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