Inference of Cell-Cell Communication for Detecting Immune Disease-Associated Signaling Pathways using Single-Cell RNA-seq
Inference of Cell-Cell Communication for Detecting Immune Disease-Associated Signaling Pathways using Single-Cell RNA-seq
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使用单细胞 RNA-seq 推断细胞间通讯以检测免疫疾病相关信号通路
DOI：
10.1145/3574198.3574210
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发表时间：
2022
期刊：
影响因子：
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通讯作者：
Akihiro Nomura,Hideo Matsuda
中科院分区：
文献类型：
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作者：
Aya Watanabe,Kenji Fujimoto,Hironori Shigeta,Shigeto Seno,Yutaka Uchida,Masaru Ishii,Hideo Matsuda;Akihiro Nomura,Hideo Matsuda
在本文中，我们提出了一种方法来定量推断和分析结节病患者的单细胞RNA测序（scRNA-seq）数据的细胞间通讯网络。该方法将外周血单核细胞（PBMC）分类为多种免疫细胞类型，并推断细胞间通讯，预测疾病进展期间的关键细胞信号输入和输出。通过使用这种方法，我们已经成功地揭示了免疫细胞如何改变结节病患者的细胞间通讯，并检测到结节病患者的潜在标志物，这些标志物无法通过现有的基因表达分析方法检测到。
In this paper, we propose a method to quantitatively infer and analyze intercellular communication networks from single-cell RNA sequencing (scRNA-seq) data of sarcoidosis patients. The method classifies peripheral blood mononuclear cells (PBMCs) into multiple immune cell types and infers intercellular communication that predicts key cellular signal inputs and outputs during disease progression. By using this method, we have successfully revealed how immune cells alter intercellular communication in patients with sarcoidosis and detected potential markers in sarcoidosis patients that could not be detected by existing gene-expression analysis methods.