转录组
免疫系统
生物
免疫失调
免疫学
表型
基因表达谱
外周血
细胞因子
子痫前期
基因
外围设备
胎盘
计算生物学
电池类型
否定选择
生物信息学
基因表达
抗体
基因调控网络
外周血单个核细胞
核糖核酸
候选基因
鉴定(生物学)
作者
Shu Zheng,Peng Xu,Huimin Shen,Chang Shu
标识
DOI:10.3389/fimmu.2025.1638603
摘要
Preeclampsia (PE) is a pregnancy-specific disorder marked by systemic immune imbalance and placental dysfunction, yet the link between peripheral molecular changes and tissue-level immune alterations remains incompletely understood. In this study, we integrated bulk transcriptomic analysis of peripheral blood from pregnant women at high risk for PE with single-cell RNA sequencing (scRNA-seq) of placental tissues to identify key immune-associated genes and explore their functional relevance. Transcriptome-wide differential expression, immune cell deconvolution, co-expression network analysis, and machine learning-based feature selection led to the identification of five candidate genes. Among them, TCL1A, CLEC2B, and LGALS9 exhibited robust expression in both datasets and were subjected to transcriptional and post-transcriptional regulatory network analysis. Single-cell profiling revealed that these genes were distinctly expressed in B cells, natural killer (NK) cells, monocytes, and Hofbauer cells, with functional enrichment in immune activation, cytokine signaling, and immune tolerance pathways. These findings illuminate the molecular mechanisms underlying immune dysregulation in PE and highlight TCL1A, CLEC2B, and LGALS9 as promising biomarkers for early detection and mechanistic investigation of the disease.
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