Senko Dmitry, Zavolskova Marina, Efimova Olga, Osetrova Maria, Stekolshchikova Elena, Vladimirov Gleb, Nikolaev Evgeny, Khaitovich Philipp
Skolkovo Institute of Science and Technology, Moscow, 121205, Russia.
Neurosci Bull. 2025 Aug 29. doi: 10.1007/s12264-025-01486-1.
A better understanding of neocortical architecture provides a means for its functional elucidation. In this study, we focused on the analysis of the lipidome composition in two human neocortical regions using laser-capture microdissection combined with mass spectrometry and mass spectrometry imaging. Among the 312 lipids detected in tissue samples representing discrete neocortical layers (L1, L3, and L5), three-quarters showed significant differences in abundance among layers, forming distinct patterns. Lipid distribution among these patterns depended on both the lipids' biochemical class and their fatty acid residue length and unsaturation. The assignment of lipids to cell types using spatial transcriptomics data suggested biological underpinnings of these patterns. Collected mass spectrometry imaging data further allowed for the reconstruction of lipid spatial distribution patterns across neocortical layers. These results reveal a complex relationship between lipids' biochemical properties and neocortical histological features, laying a foundation for further studies on the lipidome architecture of the human brain.
对新皮质结构的更好理解为其功能阐释提供了一种方法。在本研究中,我们聚焦于使用激光捕获显微切割结合质谱和质谱成像技术,分析两个人类新皮质区域的脂质组组成。在代表离散新皮质层(L1、L3和L5)的组织样本中检测到的312种脂质中,四分之三在各层之间显示出丰度上的显著差异,形成了不同的模式。这些模式中的脂质分布取决于脂质的生化类别及其脂肪酸残基长度和不饱和度。利用空间转录组学数据将脂质分配到细胞类型,提示了这些模式的生物学基础。收集的质谱成像数据进一步使得能够重建新皮质层间脂质的空间分布模式。这些结果揭示了脂质生化特性与新皮质组织学特征之间的复杂关系,为进一步研究人类大脑脂质组结构奠定了基础。