Single-Cell RNA Analysis Reveals Aberrant Expression of Immune-Related Genes and Transcriptional Regulation of NK Cells in Chronic Obstructive Pulmonary Disease

肺病 细胞 免疫学 医学 化学 内科学 生物化学
作者
Feng Cao,Wenyue Hu,Yufeng Shen
出处
期刊:Critical Reviews in Immunology [Begell House]
卷期号:45 (6): 29-41
标识
DOI:10.1615/critrevimmunol.2025060863
摘要

An increase in the number of natural killer (NK) cells in the lungs can be observed in chronic obstructive pulmonary disease (COPD). Immune-related genes (IRGs) play a crucial role in the differentiation of NK cells; however, the expression of IRGs and the possible regulatory mechanisms involved in COPD remain unclear. Single-cell RNA sequencing (scRNA seq) data of lung tissue of COPD patients were analyzed to screen NK cell cluster marker genes obtained in the ImmPort database. IRG activity in NK cell differential genes was calculated using the AUCell package. Analysis of batch sequencing datasets of biopsy tissue under COPD bronchoscopy to explore common IRGs in patients with COPD was conducted. Relevant regulatory transcription factors (TFs) were identified from the human TFDB data-base. Protein-protein interaction (PPI) networks for key TFs were generated by STRING database. A total of 12 different cell types were identified, among which the number of NK cells in COPD patients increased significantly. Gene-set enrichment analysis showed that immune response pathway was significantly enriched based on differentially expressed genes (DEGs) in NK cells. We found 55 co-expressed common IRGs and 43 co-expressed TFs in scRNA sequencing data and bulk RNA sequencing data. The PPI network indicates that EGR1, JUN, and FOS are hub TFs. In conclusion, we suggest that NK cells may be involved in chronic airway inflammation in COPD patients through bioinformatics analysis of scRNA and bulk RNA sequencing data. Specifically, EGR1 may participate in the transcriptional regulation of IRGs in NK cells, with potential involvement of calcium signaling and TGF-β/Smad pathways.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
ruochenzu发布了新的文献求助10
刚刚
英姑应助che采纳,获得10
1秒前
fxl完成签到,获得积分10
1秒前
逐梦ing发布了新的文献求助10
1秒前
1秒前
1秒前
小曼大王完成签到,获得积分10
2秒前
123完成签到,获得积分10
2秒前
youth发布了新的文献求助10
2秒前
Icy完成签到,获得积分10
2秒前
lhjsdv完成签到,获得积分10
2秒前
kk发布了新的文献求助10
3秒前
3秒前
眯眯眼的网络完成签到,获得积分10
3秒前
科研通AI6.4应助soulcard采纳,获得10
3秒前
4秒前
辣辣发布了新的文献求助10
4秒前
4秒前
5秒前
苹果朋友完成签到 ,获得积分10
5秒前
方圆几里完成签到,获得积分10
5秒前
脆脆鲨完成签到,获得积分10
5秒前
HOMO完成签到,获得积分10
5秒前
可爱滴小花花完成签到,获得积分10
6秒前
6秒前
iioo完成签到 ,获得积分10
6秒前
6秒前
潇洒的惋清应助Jupiter 1234采纳,获得10
7秒前
冰冷天蝎座完成签到,获得积分10
7秒前
GBA完成签到,获得积分10
8秒前
Q七发布了新的文献求助10
8秒前
ZQ发布了新的文献求助10
8秒前
8秒前
隐形曼青应助辣辣采纳,获得10
9秒前
9秒前
xiaojin发布了新的文献求助10
9秒前
93577完成签到 ,获得积分10
9秒前
9秒前
和谐如容完成签到,获得积分10
10秒前
10秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Principles of town planning: translating concepts to applications 1000
2016 Venous Blood Study (VBS) (Final V3.0) 510
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
从技术问题到科学问题:国家自然科学基金申请书写作指南 500
The Effective Clinical Neurologist 3ed 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7700765
求助须知:如何正确求助?哪些是违规求助? 9260066
关于积分的说明 20023014
捐赠科研通 7276426
什么是DOI,文献DOI怎么找? 3293763
关于科研通互助平台的介绍 2449397
邀请新用户注册赠送积分活动 2300326