摘要
目的:免疫细胞的异常程序性死亡与自身免疫性疾病相关,但系统性红斑狼疮(systemic lupus erythematosus,SLE),尤其是狼疮肾炎(lupus nephritis,LN)的程序性死亡模式尚不清楚。本研究旨在探究SLE和LN与免疫细胞死亡模式的关联。方法:在高通量基因表达(Gene Expression Omnibus,GEO)数据库中下载批量RNA测序(bulk RNA sequencing,bulk RNA-seq)和单细胞RNA测序(single-cell RNA sequencing,scRNA-seq)数据,通过生物信息学分析探究SLE患者外周血单个核细胞中3种细胞死亡模式相关基因的表达水平;通过scRNA-seq确定参与细胞死亡模式失衡的关键细胞亚群;采用免疫荧光法检测树突状细胞(dendritic cell,DC)中受体相互作用丝氨酸/苏氨酸激酶3(receptor interacting serine/threonine kinase 3,RIPK3)、混合谱系激酶结构域样蛋白(mixed-lineage kinase domainlike protein、MLKL)、磷酸化MLKL(phosphorylated MLKL,pMLKL)、含半胱氨酸的天冬氨酸蛋白水解酶1(caspase1、CASP1)、CD1c分子(CD1cmolecule、CD1C)、含C型凝集素结构域9A(C-typelectindomaincontaining9A、CLEC9A)和X-C基序趋化因子受体1(X-C motif chemokine receptor 1,XCR1)的表达水平;对中南大学湘雅三医院收集的LN患者和健康对照者(healthy control,HC)的肾组织进行scRNA-seq,并通过生物信息学分析参与细胞死亡模式失衡的关键细胞亚群;采用拟时序分析和配受体分析探究不同DC亚群的分化方向和细胞通信。采用瞬时转染技术分别在RAW264.7细胞中转染空质粒、空质粒+dsDNA(HSV-DNA)、空质粒+200μmol/L叔丁基过氧化氢(tert-butylhydroperoxide,TBHP)、STING shRNA质粒、STING shRNA质粒+dsDNA(HSV-DNA)、STING shRNA质粒+200μmol/L TBHP;采用Annexin V-mCherry和SYTOX Green染色检测各组细胞死亡情况;蛋白质印迹法检测各组CASP1、消皮素D(gasdermin D,GSDMD)、RIPK3和MLKL的活化情况。结果:生物信息学分析显示SLE和LN患者存在3种细胞死亡模式的失衡:促炎型细胞焦亡和坏�
Objective:Abnormal programmed cell death in immune cells is associated with autoimmune diseases,but the patterns of programmed cell death in systemic lupus erythematosus(SLE)and especially lupus nephritis(LN)remain unclear.This study aims to explore the association between SLE,LN,and immune cell death patterns.Methods:Bulk RNA sequencing(bulk RNA-seq)and single-cell RNA sequencing(scRNA-seq)data were downloaded from the Gene Expression Omnibus(GEO)database.Bioinformatic analysis was conducted to explore the expression levels of genes related to 3 cell death patterns in peripheral blood mononuclear cells of SLE patients.Key cell subsets involved in the imbalance of cell death patterns were identified through scRNA-seq.Immunofluorescence was used to detect the expression levels of receptor interacting serine/threonine kinase 3(RIPK3),mixed-lineage kinase domain-like protein(MLKL),phosphorylated MLKL(pMLKL),caspase 1(CASP1),CD1c molecule(CD1C),C-type lectin domain containing 9A(CLEC9A),and X-C motif chemokine receptor 1(XCR1)in dendritic cells(DC).scRNA-seq was performed on kidney tissues collected from LN patients and healthy controls(HC)at the Third Xiangya Hospital of Central South University,followed by bioinformatic analysis to identify key cell subsets involved in the imbalance of cell death patterns.Pseudotime analysis and ligand-receptor analysis were used to explore the differentiation direction and cell communication of different DC subsets.Transient transfection was used to transfect RAW264.7 cells with empty plasmid,empty plasmid+dsDNA(HSV-DNA),empty plasmid+200μmol/L tert-butyl hydroperoxide(TBHP),stimulator of interferon genes(STING)shRNA plasmid,STING shRNA plasmid+dsDNA(HSV-DNA),and STING shRNA plasmid+200μmol/L TBHP.Annexin V-mCherry and SYTOX Green staining were used to detect cell death in each group.Western blotting was used to detect the activation of CASP1,gasdermin D(GSDMD),RIPK3,and MLKL in each group.Results:Bioinformatic analysis showed an imbalance in 3 cell death patterns in SLE and LN
作者
许若瑶
张颖
曹清泰
廖晟
唐又周
庄权
XU Ruoyao;ZHANG Ying;CAO Qingtai;LIAO Sheng;TANG Youzhou;ZHUANG Quan(Organ Transplantation Center,Third Xiangya Hospital,Central South University,Changsha 410013;Department of Nephropathy and Rheumatology,Third Xiangya Hospital,Central South University,Changsha 410013;Research Center of National Health Commission on Transplantation Medical Engineering Technology,Changsha 410013,China)
出处
《中南大学学报（医学版）》
CAS
CSCD
北大核心
2024年第3期331-348,共18页
Journal of Central South University ：Medical Science
基金
supported by the National Natural Science Foundation(82270795,82200811)
the Natural Science Foundation of Hunan Province(2022JJ40738)
the Wisdom Accumulation and Talent Cultivation Project of the Third Xiangya Hospital of Central South University(YX202009),China。
关键词
细胞死亡失衡
树突状细胞
系统性红斑狼疮
狼疮肾炎
单细胞RNA测序
imbalance of cell death
dendritic cells
systemic lupus erythematosus
lupus nephritis
single-cell RNA sequencing
