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Single-cell analysis of dup15q syndrome reveals developmental and postnatal molecular changes in autism.
Duplication 15q (dup15q) syndrome is a leading genetic cause of autism spectrum disorder, offering a key model for studying autism-related mechanisms. Using single-cell and single-nucleus RNA sequencing of cortical organoids from dup15q patient-derived iPSCs and post-mortem brain samples, we identify increased glycolysis, disrupted layer-specific marker expression, and aberrant morphology in deep-layer neurons during fetal-stage organoid development. In adolescent-adult postmortem brains, upper-layer neurons exhibit heightened transcriptional burden related to synaptic signaling, a pattern shared with idiopathic autism. Using spatial transcriptomics, we confirm these cell-type-specific disruptions in brain tissue. By gene co-expression network analysis, we reveal disease-associated modules that are well preserved between postmortem and organoid samples, suggesting metabolic dysregulation that may lead to altered neuron projection, synaptic dysfunction, and neuron hyperexcitability in dup15q syndrome.
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Advancing autism research: Insights from brain organoid modeling.
Autism Spectrum Disorders (ASD) are characterized by a variety of behavioral symptoms and a complex genetic architecture, posing significant challenges in understanding the mechanistic processes underlying their pathology. Despite extensive research, the mechanisms linking genetic variations to the phenotypic outcomes associated with ASD remain elusive. Consistent evidence indicates disruptions in early brain development among individuals with ASD. The advent of brain organoids offers a unique opportunity for uncovering, how brain development changes in ASD patients. Brain organoids are three-dimensional in vitro model systems derived from pluripotent stem cells that recapitulate early human brain development across multiple biological levels. They have become an invaluable tool for studying human-specific brain development processes and neurodevelopmental disorders. In this review, we discuss recent findings using brain organoid technologies to model ASD and discuss, how these new technologies can enhance our understanding of ASD genetics and pathology at the molecular, cellular, and tissue levels.
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Moral Limits of Brain Organoid Research.
Brain organoid research raises ethical challenges not seen in other forms of stem cell research. Given that brain organoids partially recapitulate the development of the human brain, it is plausible that brain organoids could one day attain consciousness and perhaps even higher cognitive abilities. Brain organoid research therefore raises difficult questions about these organoids' moral status - questions that currently fall outside the scope of existing regulations and guidelines. This paper shows how these gaps can be addressed. We outline a moral framework for brain organoid research that can address the relevant ethical concerns without unduly impeding this important area of research.
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Generation and Downstream Analysis of Single-Cell and Single-Nuclei Transcriptomes in Brain Organoids.
Over the past decade, single-cell transcriptomics has significantly evolved and become a standard laboratory method for simultaneous analysis of gene expression profiles of individual cells, allowing the capture of cellular diversity. In order to overcome limitations posed by difficult-to-isolate cell types, an alternative approach aiming at recovering single nuclei instead of intact cells can be utilized for sequencing, making transcriptome profiling of individual cells universally applicable. These techniques have become a cornerstone in the study of brain organoids, establishing them as models of the developing human brain. Leveraging the potential of single-cell and single-nucleus transcriptomics in brain organoid research, this protocol presents a step-by-step guide encompassing key procedures such as organoid dissociation, single-cell or nuclei isolation, library preparation and sequencing. By implementing these alternative approaches, researchers can obtain high-quality datasets, enabling the identification of neuronal and non-neuronal cell types, gene expression profiles, and cell lineage trajectories. This facilitates comprehensive investigations into cellular processes and molecular mechanisms shaping brain development.
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AI and organoid platforms for brain-targeted theranostics.
Developing therapies for complex brain diseases faces significant challenges due to biological complexity and the stringent blood-brain barrier. While nanomedicine holds promise, traditional R&D paradigms suffer from inefficiency. This review introduces an intelligent theranostic paradigm that integrates high-fidelity brain organoid models, high-throughput screening (HTS/HCS), and Artificial Intelligence (AI). In this closed-loop workflow, organoid platforms serve a diagnostic role, generating predictive data on nanomedicine performance. AI then provides therapeutic guidance by processing this data to drive rational drug design, synthesis, and interaction prediction. This AI-driven convergence is poised to significantly accelerate the development of precisely targeted and individualized nanomedicines, offering new hope for breakthroughs in treating brain diseases.
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Quantitative and Qualitative Analysis of Neurotransmitter and Neurosteroid Production in Cerebral Organoids during Differentiation.
In the human brain, neurophysiological activity is modulated by the movement of neurotransmitters and neurosteroids. To date, the similarity between cerebral organoids and actual human brains has been evaluated using comprehensive multiomics approaches. However, a systematic analysis of both neurotransmitters and neurosteroids from cerebral organoids has not yet been reported. Here, we performed quantitative and qualitative assessments of neurotransmitters and neurosteroids over the course of cerebral organoid differentiation. Our multiomics approaches revealed that the expression levels of neurotransmitter-related proteins and RNA, including neurosteroids, increase as cerebral organoids mature. We also found that the electrophysiological activity of human cerebral organoids increases in tandem with the expression levels of both neurotransmitters and neurosteroids. Our study demonstrates that the expression levels of neurotransmitters and neurosteroids can serve as key factors in evaluating the maturity and functionality of human cerebral organoids.
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Reverse engineering human brain evolution using organoid models.
Primate brains vary dramatically in size and organization, but the genetic and developmental basis for these differences has been difficult to study due to lack of experimental models. Pluripotent stem cells and brain organoids provide a potential opportunity for comparative and functional studies of evolutionary differences, particularly during the early stages of neurogenesis. However, many challenges remain, including isolating stem cell lines from additional great ape individuals and species to capture the breadth of ape genetic diversity, improving the reproducibility of organoid models to study evolved differences in cell composition and combining multiple brain regions to capture connectivity relationships. Here, we describe strategies for identifying evolved developmental differences between humans and non-human primates and for isolating the underlying cellular and genetic mechanisms using comparative analyses, chimeric organoid culture, and genome engineering. In particular, we focus on how organoid models could ultimately be applied beyond studies of progenitor cell evolution to decode the origin of recent changes in cellular organization, connectivity patterns, myelination, synaptic development, and physiology that have been implicated in human cognition.
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Cortical brain organoid as a model to study microgravity exposure.
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What Have Organoids and Assembloids Taught Us About the Pathophysiology of Neuropsychiatric Disorders?
Neuropsychiatric research has been impeded by limited access to human brain tissue, especially from early stages of neurodevelopment when the pathophysiology of many childhood-onset disorders is initiated. Neural organoids are 3-dimensional, self-organizing, multicellular structures generated from pluripotent stem cells that recapitulate some of the cell diversity, cytoarchitecture, and functional features of domains of the developing nervous system. Assembloids are 3-dimensional, self-organizing cultures created by the combination of two or more distinctly patterned organoids or an organoid plus additional cell or tissue type(s) that are used to model cell migration and connectivity. Here we review recent advances in neuropsychiatric disorder research using organoid and assembloid models to study the role of disease-relevant genes and mutations, as well as the impact of environmental risk factors on neural development. We also highlight some of the advantages and limitations of these model systems in bringing insights into the pathophysiology of neuropsychiatric disorders.
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Exploration of Novel Biomarkers Through a Precision Medicine Approach Using Multi-Omics and Brain Organoids in Patients With Atypical Depression and Psychotic Symptoms.
Major depressive disorder (MDD) with atypical features accompanied by psychotic symptoms represents a severe and under-researched subtype of depression and severe mental illness, characterized by significant personal and social impact. This study aims to explore novel biomarkers through a precision medicine approach by combining clinical data, white blood cell (WBC) single-cell RNA sequencing (scRNA-seq), plasma proteomics, and brain organoid models to uncover immunological and neurological alterations in patients with this condition. Patients exhibited elevated stress, anxiety, depression, and increased WBC counts, although the difference in WBC count is not significant after adjusting for age. Plasma proteomic profiling identified an upregulation of proteins implicated in synaptic formation, including Doublecortin-Like Kinase 3 (DCLK3) and Calcyon (CALY), as well as immune-related proteins such as Complement Component 5 (C5). WBC scRNA-seq revealed significant neutrophil and monocyte transcriptomic alterations, suggesting increased inflammation and immune dysregulation. Patient-derived brain organoids display reduced growth and distinct gene expression patterns compared to controls, particularly under dexamethasone-induced stress conditions. Combining WBC scRNA-seq, plasma proteomics, and brain organoid models offers a novel framework for understanding the pathophysiology of psychiatric disorders, which is one of the most complex disorders.