类有机物
神经科学
计算生物学
人脑
生物
质谱成像
哺乳动物大脑
蛋白质基因组学
蛋白质组学
神经影像学
分子成像
化学
脑组织
系统生物学
计算机科学
作者
Nav Raj Phulara,Kadia Lissit,Yuejia Huang,Jin-Chong Xu,Herana Kamal Seneviratne
标识
DOI:10.1021/acschemneuro.5c00971
摘要
Brain organoids are stem cell-derived, three-dimensional models that more accurately mimic the cellular complexity and architecture of human brain tissues compared to traditional two-dimensional (2D) cultures or animal models. Their physiological relevance and human-specific neurobiology enhance translational research while aligning with current regulatory shifts toward reducing animal testing in biomedical science. A thorough understanding of the molecular landscape of various biomolecules, such as lipids, metabolites, proteins, and glycans in physiologically relevant brain models, such as organoids, is essential to deciphering complex neurobiology. While mass spectrometry has long been used to understand such molecular landscape in tissues, a single-omics approach is insufficient to fully capture the complexity of brain biology. Therefore, multiomics strategies, such as high-resolution mass spectrometry imaging (MSI), mass spectrometry-based proteomics, and lipidomics, together can provide a holistic view of biomolecular interplay within tissue microenvironments. Moreover, since MSI retains spatial information within tissues, MSI-based multiomics approaches hold immense potential to uncover complex neurobiology within brain organoids. In this article, we present our perspectives on leveraging MSI-based multiomics in brain organoids to understand the complex molecular interplay underlying neurobiology.
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