Single-cell RNA-seq ties macrophage polarization to growth rate of intracellular Salmonella

生物 肠沙门氏菌 细胞内 沙门氏菌 巨噬细胞极化 免疫系统 微生物学 细胞生物学 单细胞分析 病菌 巨噬细胞 细菌 细胞 细胞内寄生虫 遗传学 体外
作者
Antoine‐Emmanuel Saliba,Lei Li,Alexander J. Westermann,Silke Appenzeller,Daphne A. C. Stapels,Leon N. Schulte,Sophie Hélaine,Jörg Vogel
出处
期刊:Nature microbiology [Nature Portfolio]
卷期号:2 (2): 16206-16206 被引量:212
标识
DOI:10.1038/nmicrobiol.2016.206
摘要

Intracellular bacterial pathogens can exhibit large heterogeneity in growth rate inside host cells, with major consequences for the infection outcome. If and how the host responds to this heterogeneity remains poorly understood. Here, we combined a fluorescent reporter of bacterial cell division with single-cell RNA-sequencing analysis to study the macrophage response to different intracellular states of the model pathogen Salmonella enterica serovar Typhimurium. The transcriptomes of individual infected macrophages revealed a spectrum of functional host response states to growing and non-growing bacteria. Intriguingly, macrophages harbouring non-growing Salmonella display hallmarks of the proinflammatory M1 polarization state and differ little from bystander cells, suggesting that non-growing bacteria evade recognition by intracellular immune receptors. By contrast, macrophages containing growing bacteria have turned into an anti-inflammatory, M2-like state, as if fast-growing intracellular Salmonella overcome host defence by reprogramming macrophage polarization. Additionally, our clustering approach reveals intermediate host functional states between these extremes. Altogether, our data suggest that gene expression variability in infected host cells shapes different cellular environments, some of which may favour a growth arrest of Salmonella facilitating immune evasion and the establishment of a long-term niche, while others allow Salmonella to escape intracellular antimicrobial activity and proliferate.
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
cc发布了新的文献求助10
刚刚
Yuan发布了新的文献求助10
2秒前
烟花应助时尚半仙采纳,获得10
2秒前
zlk发布了新的文献求助10
2秒前
3秒前
隐形香水完成签到,获得积分10
3秒前
3秒前
此时此刻完成签到,获得积分10
4秒前
Weiyu完成签到 ,获得积分10
4秒前
科研通AI6.2应助WWT采纳,获得10
5秒前
123发布了新的文献求助10
5秒前
5秒前
麦麦发布了新的文献求助30
5秒前
5秒前
yimengze发布了新的文献求助10
6秒前
打打应助Yuan采纳,获得30
6秒前
意面完成签到,获得积分10
6秒前
6秒前
6秒前
7秒前
自信的伊完成签到,获得积分20
7秒前
8秒前
8秒前
英姑应助1233211234567采纳,获得10
9秒前
v0id应助张宇采纳,获得10
9秒前
yiyi发布了新的文献求助30
10秒前
科研白白发布了新的文献求助10
10秒前
King16完成签到,获得积分10
10秒前
10秒前
s1kl发布了新的文献求助10
11秒前
我是老大应助Peng采纳,获得10
11秒前
11秒前
11秒前
12秒前
12秒前
11发布了新的文献求助10
13秒前
幸福广山发布了新的文献求助10
13秒前
14秒前
张宇完成签到,获得积分10
14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
The anomeric effect 1000
Principles of town planning: translating concepts to applications 1000
1 Peter and Christ's Descent to the Dead in Its Early Christian Reception 700
Organizational Behavior 510
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
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 7731386
求助须知:如何正确求助?哪些是违规求助? 9282527
关于积分的说明 20152166
捐赠科研通 7308731
什么是DOI,文献DOI怎么找? 3303672
关于科研通互助平台的介绍 2456490
邀请新用户注册赠送积分活动 2312365