Department of Biotechnology, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian 116023, China.
University of Chinese Academy of Sciences, Beijing 100049, China.
Proc Natl Acad Sci U S A. 2022 Nov;119(44):e2200944119. doi: 10.1073/pnas.2200944119. Epub 2022 Oct 26.
Neuron-immune interaction through secreted factors contributes significantly to the complex microenvironment in the central nervous system that could alter cell functionalities and fates in both physiological and pathological conditions, which remains poorly characterized at the single-cell level. Herein, using a spatially patterned antibody barcode microchip, we realized the mapping of 12 different secretomes, covering cytokines, neurotrophic factors (NFs), and neuron-derived exosomes (NDEs) from high-throughput, paired single cells (≥ 600) simultaneously under normal conditions and an Alzheimer's disease (AD) model induced with amyloid beta protein 1-42 (Aβ). We applied the platform to analyze the secretion profiles from paired neuron-macrophage and neuron-microglia single cells with human cell lines. We found that pairwise neuron-macrophage interaction would trigger immune responses and attenuate neuron cells' secretion, while neuron-microglia interaction generally results in opposite outcomes in secretion. When neuron cells are induced with Aβ protein into the AD model, both neuron-macrophage and neuron-microglia interactions lead to increased cytokines and NDEs and decreased NFs. Further analysis of AD patients' serum showed that NDEs were significantly higher in patients' samples than in the control group, validating our observation from the interaction assay. Furthermore, we resolved previously undifferentiated heterogeneity underlying the secretions from single-neuron cells. We found that the NDE and NF secretion was less dependent on the paracrine signaling between one another and that secretions from neuron cells would attenuate after differentiation with Aβ. This study demonstrates the mapping of the different secretomes from paired neuron-immune single cells, providing avenues for understanding how neurons and immune cells interact through the complex secretome network.
神经元-免疫相互作用通过分泌因子对中枢神经系统的复杂微环境有重要贡献,这种相互作用可以改变细胞在生理和病理条件下的功能和命运,但在单细胞水平上仍知之甚少。在这里,我们使用空间图案化抗体条码微芯片,同时在正常条件下和阿尔茨海默病(AD)模型下(用淀粉样蛋白β 1-42(Aβ)诱导),从高通量、配对的单细胞(≥600 个)中实现了 12 种不同分泌组的映射,包括细胞因子、神经营养因子(NFs)和神经元衍生的外泌体(NDEs)。我们应用该平台分析了配对的神经元-巨噬细胞和神经元-小胶质细胞单细胞的分泌谱,这些细胞来自人类细胞系。我们发现,神经元-巨噬细胞的相互作用会引发免疫反应并减弱神经元细胞的分泌,而神经元-小胶质细胞的相互作用通常会导致分泌的结果相反。当神经元细胞被 Aβ蛋白诱导进入 AD 模型时,神经元-巨噬细胞和神经元-小胶质细胞的相互作用都会导致细胞因子和 NDEs 的增加以及 NF 的减少。对 AD 患者血清的进一步分析表明,AD 患者样本中的 NDEs 明显高于对照组,验证了我们从相互作用分析中观察到的结果。此外,我们还解析了单个神经元细胞分泌物中以前未分化的异质性。我们发现,NDE 和 NF 的分泌彼此之间较少依赖旁分泌信号,并且在用 Aβ 分化后,神经元细胞的分泌会减弱。这项研究展示了配对的神经元-免疫单细胞中不同分泌组的映射,为理解神经元和免疫细胞如何通过复杂的分泌网络相互作用提供了途径。