认知的细胞外起源:来自灵长类动物新皮层ECM的教训

IF 3.4 4区 生物学 Q2 BIOCHEMICAL RESEARCH METHODS
Proteomics Pub Date : 2025-07-22 DOI:10.1002/pmic.13979
Shani Stern
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引用次数: 0

摘要

脑细胞外基质(ECM)是一个复杂的动态网络,在神经发育、突触可塑性和回路稳定性中起着重要作用。尽管其重要性,发育中的脑ECM的分子组成和空间组织仍然缺乏表征。在这篇评论中,我们重点介绍了Vilicich等人最近的一项研究,该研究采用多模式方法,整合单细胞转录组学、蛋白质组学和免疫组织荧光,构建了人类和非人类灵长类动物发育中的新皮层的ECM图谱。通过整理被称为“Exomatrix”的细胞外蛋白的综合列表,并分析它们在皮层层和发育阶段的分布,作者揭示了层特异性和进化保守的ECM特征。这些发现不仅扩大了我们对ECM在早期发育过程中塑造大脑的作用的理解,而且强调了它在神经发育障碍发病机制中的潜在参与,促使进一步研究ECM生物学作为神经科学的前沿。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Extracellular Origins of Cognition: Lessons from Primate Neocortical ECM

The brain's extracellular matrix (ECM) is an intricate and dynamic network that plays essential roles in neurodevelopment, synaptic plasticity, and circuit stability. Despite its importance, the molecular composition and spatial organization of the developing brain ECM remain poorly characterized. In this commentary, we highlight the recent study by Vilicich et al., which employs a multi-modal approach, integrating single-cell transcriptomics, proteomics, and immunohistofluorescence, to construct a map of the ECM in the developing neocortex of humans and non-human primates. By curating a comprehensive list of extracellular proteins termed the “Exomatrix” and analyzing their distribution across cortical layers and developmental stages, the authors reveal layer-specific and evolutionarily conserved ECM features. These findings not only expand our understanding of ECM's role in shaping the brain during early development but also emphasize its potential involvement in the pathogenesis of neurodevelopmental disorders, urging further research into ECM biology as a frontier in neuroscience.

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来源期刊
Proteomics
Proteomics 生物-生化研究方法
CiteScore
6.30
自引率
5.90%
发文量
193
审稿时长
3 months
期刊介绍: PROTEOMICS is the premier international source for information on all aspects of applications and technologies, including software, in proteomics and other "omics". The journal includes but is not limited to proteomics, genomics, transcriptomics, metabolomics and lipidomics, and systems biology approaches. Papers describing novel applications of proteomics and integration of multi-omics data and approaches are especially welcome.
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