SPI1-mediated autophagy of peripheral blood monocyte cells as a mechanism for sepsis based on single-cell RNA sequencing

自噬 败血症 单核细胞 生物 免疫系统 细胞生物学 转录因子 外周血单个核细胞 细胞 免疫学 基因 细胞凋亡 遗传学 体外
作者
Wenfeng Xie,Sainan Zou,Chengcheng Dong,Chunhua Yang
出处
期刊:International Immunopharmacology [Elsevier BV]
卷期号:117: 109909-109909 被引量:18
标识
DOI:10.1016/j.intimp.2023.109909
摘要

Autophagy has been documented to participate in immune responses and inflammatory diseases, but the mechanistic actions of monocyte autophagy in sepsis remain largely unknown. This study intends to analyze the mechanism of autophagy of peripheral blood monocyte cells (PBMCs) in sepsis based on single-cell RNA sequencing (scRNA-seq). The scRNA-seq data of PBMC samples from sepsis patients were downloaded from the GEO database, followed by identification of cell marker genes, key pathways and key genes. The bioinformatics analysis showed that the PBMC samples of sepsis patients mainly contained 9 immune cell types, among which three types of monocytes showed significant changes in cell numbers in sepsis patients. Of note, the highest autophagy score was found in the intermediate monocytes. The Annexin signaling pathway was a key pathway for the communication between monocytes and other cells. More importantly, SPI1 was predicted as a key gene in the autophagy phenotype of intermediate monocytes, and SPI1 might suppress ANXA1 transcription. The high expression of SPI1 in sepsis was confirmed by RT-qPCR and Western blot analysis. Dual luciferase reporter gene assay verified that SPI1 could bind to the promoter region of ANXA1. Furthermore, it was found that SPI1 might affect monocyte autophagy in the mouse model of sepsis through regulation of ANXA1. In conclusion, we provide insight into the mechanism underlying the septic potential of SPI1, which enhances monocyte autophagy by inhibiting the transcription of ANXA1 in sepsis.
最长约 10秒,即可获得该文献文件

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
刚刚
1秒前
Andy完成签到,获得积分10
1秒前
2秒前
务实绫关注了科研通微信公众号
3秒前
joyce完成签到,获得积分10
4秒前
yhl完成签到 ,获得积分10
4秒前
Nole应助LJS采纳,获得10
4秒前
xi完成签到 ,获得积分10
4秒前
名副棋实完成签到,获得积分10
4秒前
烂漫的从彤完成签到,获得积分10
4秒前
ZiyuanZhang完成签到,获得积分10
5秒前
畅快的大雁完成签到,获得积分10
5秒前
Everglow发布了新的文献求助10
6秒前
aajhajkahna应助火画采纳,获得10
6秒前
haha发布了新的文献求助10
6秒前
执着从筠完成签到 ,获得积分10
6秒前
美团小骑手完成签到,获得积分10
7秒前
Mic完成签到,获得积分0
7秒前
阿松大发布了新的文献求助10
8秒前
CodeCraft应助Paradox采纳,获得10
8秒前
8秒前
10秒前
贺禾禾发布了新的文献求助30
10秒前
Akim应助hosokawa采纳,获得10
11秒前
ccccx发布了新的文献求助10
12秒前
yyy完成签到,获得积分20
14秒前
瑾妍完成签到 ,获得积分10
14秒前
xx完成签到,获得积分10
14秒前
14秒前
研友_Z7myRL发布了新的文献求助10
14秒前
章鱼大丸子完成签到,获得积分10
15秒前
东方元语应助Ainra采纳,获得20
15秒前
Ting完成签到,获得积分10
16秒前
huang完成签到,获得积分10
17秒前
小蘑菇应助友好的储采纳,获得10
17秒前
19秒前
Paradox发布了新的文献求助10
19秒前
19秒前
2107887257完成签到,获得积分20
20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
An Introduction to Foreign Language Learning and Teaching 750
The Oxford Handbook of Digital Classical Studies 550
China Pluperfect I: Epistemology of Past and Outside in Chinese Art 520
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
The fast track to determining transfer functions of linear circuits: The student guide 500
The Analytical and Numerical Solution of Electric and Magnetic Fields 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 7621586
求助须知:如何正确求助?哪些是违规求助? 9196804
关于积分的说明 19713529
捐赠科研通 7193092
什么是DOI,文献DOI怎么找? 3272856
关于科研通互助平台的介绍 2435283
邀请新用户注册赠送积分活动 2268011