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Trans-omic Profiling Uncovers Molecular Controls of the Early Human Cerebral Organoid Formation

ABSTRACT: Defining molecular controls that orchestrate human brain development is essential for uncovering the complexity behind neurodevelopment and the pathogenesis of neurological disorders. Due to the difficulties in accessing embryonic and fetal brain tissues, the differentiation of human pluripotent stem cell (hPSC)-derived three-dimensional neural organoids has made it possible to recapitulate this developmental process in vitro and provide a unique opportunity to investigate human brain development and disease. To elucidate the molecular programs that drive this highly dynamic process, here, we generate a comprehensive trans-omic map of the phosphoproteome, proteome, and transcriptome of the initial stages of pluripotency and neural differentiation towards the formation of cerebral organoids. Our integrative analysis uncovers key phospho-signalling events underlying neural lineage differentiation, and their convergence on transcriptional (co-)factors and chromatin remodellers that govern downstream gene regulatory networks (GRNs). Comparative analysis with developing human and mouse embryos using these GRNs demonstrates the fidelity of our early cerebral organoids in modelling embryonic brain development. Finally, we demonstrate biochemical modulation of the AKT signalling as a key molecular switch for controlling human cerebral organoid formation. Our data provides a comprehensive resource to gain insight into the molecular controls in human embryonic brain development and also provide a guide for future development of protocols for human cerebral organoid differentiation.

ORGANISM(S): Homo sapiens

PROVIDER: GSE248901 | GEO | 2024/04/21

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).

Project description:<p>Human brain organoids are emerging models to study human brain development and pathology as they recapitulate the development and characteristics of major neural cell types, and enable manipulation through an <em>in vitro</em> system. Over the past decade, with the advent of spatial technologies, mass spectrometry imaging (MSI) has become a prominent tool for metabolic microscopy, providing label-free, non-targeted molecular and spatial distribution information of the metabolites within tissue, including lipids. This technology has never been used for studies of brain organoids and here, we set out to develop a standardized protocol for preparation and mass spectrometry imaging of human brain organoids. We present an optimized and validated sample preparation protocol, including sample fixation, optimal embedding solution, homogenous deposition of matrices, data acquisition and processing to maximize the molecular information derived from mass spectrometry imaging. We focus on lipids in organoids, as they play critical roles during cellular and brain development. Using high spatial and mass resolution in positive- and negative-ion modes, we detected 260 lipids in the organoids. Seven of them were uniquely localized within the neurogenic niches or rosettes as confirmed by histology, suggesting their importance for neuroprogenitor proliferation. We observed a particularly striking distribution of ceramide-phosphoethanolamine CerPE 36:1; O2 restricted within rosettes and of phosphatidyl-ethanolamine PE 38:3, which was distributed throughout the organoid tissue but not in rosettes. This suggests that ceramide in this particular lipid species might be important for neuroprogenitor biology, while its removal may be important for terminal differentiation of their progeny. Overall, our study establishes the first optimized experimental pipeline and data processing strategy for mass spectrometry imaging of human brain organoids, allowing direct comparison of lipid signal intensities and distributions in these tissues. Further, our data shed new light on the complex processes that govern brain development by identifying specific lipid signatures that may play a role in metabolic cell fate trajectories. mass spectrometry imaging thus has great potential in advancing our understanding of early brain development as well as disease modeling and drug discovery.</p>

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Trans-omic Profiling Uncovers Molecular Controls of the Early Human Cerebral Organoid Formation

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