{"title":"Ligand-Receptor Analysis of Brain Cell Type Marker Data Reveals Intricate Endothelial Interaction.","authors":"Arpita Mishra, Gaurav Kumar","doi":"10.1177/09727531251343254","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Brain endothelial interaction with neurons, astrocytes, oligodendrocytes and microglial cells is critical for brain physiology; it is still far from being mapped. Understanding of the endothelial communication with other brain cell type could unravel novel insight into neurovascular homeostasis.</p><p><strong>Purpose: </strong>This study aims to construct neurovascular interaction network, focusing on brain endothelial cell interactome using brain cell marker gene dataset and ligand-receptor (LR) pair.</p><p><strong>Methods: </strong>We curated brain marker gene list from McKenzie et al.'s brain cell type top 1000 marker list of endothelial, microglia, astrocyte, neuron, oligodendrocyte and oligodendrocyte progenitor cell (OPC) and extracted LR interaction between them. Subsequently, using Cytoscape, endothelial cell interaction map was constructed and top interaction and hub gene were derived. Moreover, we performed Kyoto encyclopedia of genes and genomes (KEGG) pathways enrichment (<i>p</i> value < .1) to infer biological information hidden.</p><p><strong>Results: </strong>Neurovascular LR interaction showed endothelial cells as the top network having 25.34% of total interaction with 176 outgoing and 171 incoming interactions. A considerable portion of signalling (11%) is involved in autocrine signalling functionally related to vascular tone, angiogenesis and others. Paracrine signalling between endothelial cells with microglia, astrocytes, neurons and OPC constituted 13.5%, 8.9%, 5.8% and 4.9% of total interactions, respectively. Functional enrichment of LR interaction in endothelial-microglia, endothelial-astrocyte and endothelial-neuron networks constitutes 49, 45 and 36 significant KEGG pathways (<i>p</i> value < .1) respectively. These pathways include extracellular matrix (ECM) receptor, axon guidance, chemokine, nuclear factor kappa B (NF-kB) and signalling pathways, among others. Hub gene analysis showed ITGB1 in endothelial cells, ITGA4 in microglia, NOTCH2 in astrocytes and LAMC2 in neurons having maximum interaction in the endothelial network.</p><p><strong>Conclusion: </strong>This study recapitulated not only previously known gene interactions using a markers gene list but also identified novel interactions between endothelial and other brain cell types. In conclusion, this analysis underscores the critical role of endothelial cell interactions in brain physiology.</p>","PeriodicalId":7921,"journal":{"name":"Annals of Neurosciences","volume":" ","pages":"09727531251343254"},"PeriodicalIF":1.8000,"publicationDate":"2025-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12204993/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Annals of Neurosciences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1177/09727531251343254","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"NEUROSCIENCES","Score":null,"Total":0}
引用次数: 0
Abstract
Background: Brain endothelial interaction with neurons, astrocytes, oligodendrocytes and microglial cells is critical for brain physiology; it is still far from being mapped. Understanding of the endothelial communication with other brain cell type could unravel novel insight into neurovascular homeostasis.
Purpose: This study aims to construct neurovascular interaction network, focusing on brain endothelial cell interactome using brain cell marker gene dataset and ligand-receptor (LR) pair.
Methods: We curated brain marker gene list from McKenzie et al.'s brain cell type top 1000 marker list of endothelial, microglia, astrocyte, neuron, oligodendrocyte and oligodendrocyte progenitor cell (OPC) and extracted LR interaction between them. Subsequently, using Cytoscape, endothelial cell interaction map was constructed and top interaction and hub gene were derived. Moreover, we performed Kyoto encyclopedia of genes and genomes (KEGG) pathways enrichment (p value < .1) to infer biological information hidden.
Results: Neurovascular LR interaction showed endothelial cells as the top network having 25.34% of total interaction with 176 outgoing and 171 incoming interactions. A considerable portion of signalling (11%) is involved in autocrine signalling functionally related to vascular tone, angiogenesis and others. Paracrine signalling between endothelial cells with microglia, astrocytes, neurons and OPC constituted 13.5%, 8.9%, 5.8% and 4.9% of total interactions, respectively. Functional enrichment of LR interaction in endothelial-microglia, endothelial-astrocyte and endothelial-neuron networks constitutes 49, 45 and 36 significant KEGG pathways (p value < .1) respectively. These pathways include extracellular matrix (ECM) receptor, axon guidance, chemokine, nuclear factor kappa B (NF-kB) and signalling pathways, among others. Hub gene analysis showed ITGB1 in endothelial cells, ITGA4 in microglia, NOTCH2 in astrocytes and LAMC2 in neurons having maximum interaction in the endothelial network.
Conclusion: This study recapitulated not only previously known gene interactions using a markers gene list but also identified novel interactions between endothelial and other brain cell types. In conclusion, this analysis underscores the critical role of endothelial cell interactions in brain physiology.
背景:脑内皮细胞与神经元、星形胶质细胞、少突胶质细胞和小胶质细胞的相互作用对脑生理学至关重要;它还远没有被绘制出来。了解内皮细胞与其他类型脑细胞之间的通讯可以揭示神经血管稳态的新见解。目的:利用脑细胞标记基因集和配体受体(LR)对构建神经血管相互作用网络,重点研究脑内皮细胞相互作用组。方法:从McKenzie等人的脑细胞类型前1000个标记细胞列表中筛选内皮细胞、小胶质细胞、星形胶质细胞、神经元、少突胶质细胞和少突胶质细胞祖细胞(OPC)的脑标记基因,提取它们之间的LR相互作用。随后,利用Cytoscape构建内皮细胞相互作用图谱,并推导出顶端相互作用和枢纽基因。此外,我们进行了京都基因和基因组百科全书(KEGG)途径富集(p值< .1)来推断隐藏的生物信息。结果:神经血管LR相互作用以内皮细胞为最高网络,共176个外向相互作用和171个传入相互作用,占总相互作用的25.34%。相当一部分信号传导(11%)涉及与血管张力、血管生成等功能相关的自分泌信号传导。内皮细胞与小胶质细胞、星形胶质细胞、神经元和OPC之间的旁分泌信号分别占总相互作用的13.5%、8.9%、5.8%和4.9%。LR相互作用在内皮-小胶质细胞、内皮-星形胶质细胞和内皮-神经元网络中的功能富集分别构成49、45和36条显著的KEGG通路(p值< 1)。这些途径包括细胞外基质(ECM)受体、轴突引导、趋化因子、核因子κ B (NF-kB)和信号通路等。Hub基因分析显示,内皮细胞中的ITGB1、小胶质细胞中的ITGA4、星形胶质细胞中的NOTCH2和神经元中的LAMC2在内皮网络中相互作用最大。结论:本研究不仅利用标记基因表概括了以前已知的基因相互作用,而且还确定了内皮细胞和其他脑细胞类型之间的新相互作用。总之,这一分析强调了内皮细胞相互作用在脑生理学中的关键作用。