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Volumetric compression by heterogeneous scaffold embedding promotes cerebral organoid growth and maturation

ABSTRACT: While biochemical regulation has been extensively studied in cerebral organoid modeling protocols, the role of mechano-regulation in directing stem cell fate and organoid development has been relatively unexplored. Volumetric compression, a key aspect of natural brain development, is known to influence neuronal differentiation. However, stiff interpenetrating network compression fails to accurately replicate the dynamic organoid development observed in nature. In this study, we present a novel method of heterogeneous embedding using an alginate-shell-Matrigel-core system. This approach allows for cell-Matrigel remodeling by the inner layer and provides moderate normal compression through the soft alginate outer layer. Our results show significant improvements in cell proliferation and maturation of cerebral organoids, as evidenced by increased expression of neuronal markers such as neurofilament (NF) and microtubule-associated protein 2 (MAP2). Compared to non-alginate embedding and alginate compression groups, volume growth remains unimpeded. Our findings demonstrate the successful mechanical regulation of cerebral organoids, which not only mimics the mechanical environment of brain development but also exhibits a regular growth profile with enhanced maturation. These results highlight the importance and potential practical applications of mechano-regulation in the establishment of brain organoids.

ORGANISM(S): Homo sapiens

PROVIDER: GSE242715 | GEO | 2023/09/09

REPOSITORIES: GEO

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Project description:Cerebral organoids â three-dimensional cultures of human cerebral tissue derived from pluripotent stem cells â have emerged as models of human cortical development. However, the extent to which in vitro organoid systems recapitulate neural progenitor cell proliferation and neuronal differentiation programs observed in vivo remains unclear. Here we use single-cell RNA sequencing (scRNA-seq) to dissect and compare cell composition and progenitor-to-neuron lineage relationships in human cerebral organoids and fetal neocortex. Covariation network analysis using the fetal neocortex data reveals known and novel interactions among genes central to neural progenitor proliferation and neuronal differentiation. In the organoid, we detect diverse progenitors and differentiated cell types of neuronal and mesenchymal lineages, and identify cells that derived from regions resembling the fetal neocortex. We find that these organoid cortical cells use gene expression programs remarkably similar to those of the fetal tissue in order to organize into cerebral cortex-like regions. Our comparison of in vivo and in vitro cortical single cell transcriptomes illuminates the genetic features underlying human cortical development that can be studied in organoid cultures. 734 single-cell transcriptomes from human fetal neocortex or human cerebral organoids from multiple time points were analyzed in this study. All single cell samples were processed on the microfluidic Fluidigm C1 platform and contain 92 external RNA spike-ins. Fetal neocortex data were generated at 12 weeks post conception (chip 1: 81 cells; chip 2: 83 cells) and 13 weeks post conception (62 cells). Cerebral organoid data were generated from dissociated whole organoids derived from induced pluripotent stem cell line 409B2 (iPSC 409B2) at 33 days (40 cells), 35 days (68 cells), 37 days (71 cells), 41 days (74 cells), and 65 days (80 cells) after the start of embryoid body culture. Cerebral organoid data were also generated from microdissected cortical-like regions from H9 embryonic stem cell derived organoids at 53 days (region 1, 48 cells; region 2, 48 cells) or from iPSC 409B2 organoids at 58 days (region 3, 43 cells; region 4, 36 cells).

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Volumetric compression by heterogeneous scaffold embedding promotes cerebral organoid growth and maturation

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