A common framework of monocyte-derived macrophage activation

巨噬细胞 细胞生物学 生物 单核细胞 免疫学 体外 遗传学
作者
David E. Sanin,Yan Ge,Emilija Marinković,Agnieszka M. Kabat,Ângela Castoldi,George Caputa,Katarzyna M. Grzes,Jonathan D. Curtis,Elizabeth A. Thompson,Sebastian Willenborg,Stefanie Dichtl,Susanne Reinhardt,Andreas Dahl,Erika L. Pearce,Sabine A. Eming,Alexander Gerbaulet,Axel Roers,Peter J. Murray,Edward J. Pearce
出处
期刊:Science immunology [American Association for the Advancement of Science]
卷期号:7 (70): eabl7482-eabl7482 被引量:147
标识
DOI:10.1126/sciimmunol.abl7482
摘要

Macrophages populate every organ during homeostasis and disease, displaying features of tissue imprinting and heterogeneous activation. The disconnected picture of macrophage biology that has emerged from these observations is a barrier for integration across models or with in vitro macrophage activation paradigms. We set out to contextualize macrophage heterogeneity across mouse tissues and inflammatory conditions, specifically aiming to define a common framework of macrophage activation. We built a predictive model with which we mapped the activation of macrophages across 12 tissues and 25 biological conditions, finding a notable commonality and finite number of transcriptional profiles, in particular among infiltrating macrophages, which we modeled as defined stages along four conserved activation paths. These activation paths include a "phagocytic" regulatory path, an "inflammatory" cytokine-producing path, an "oxidative stress" antimicrobial path, or a "remodeling" extracellular matrix deposition path. We verified this model with adoptive cell transfer experiments and identified transient RELMɑ expression as a feature of monocyte-derived macrophage tissue engraftment. We propose that this integrative approach of macrophage classification allows the establishment of a common predictive framework of monocyte-derived macrophage activation in inflammation and homeostasis.
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
像只猫发布了新的文献求助10
1秒前
小周发布了新的文献求助10
1秒前
Tyche发布了新的文献求助10
1秒前
正直纸飞机完成签到,获得积分10
2秒前
hubery完成签到,获得积分10
2秒前
2秒前
今后应助坦率的向薇采纳,获得10
2秒前
3秒前
Zhang完成签到 ,获得积分10
3秒前
3秒前
疯狂的含海完成签到,获得积分10
3秒前
4秒前
十一发布了新的文献求助10
4秒前
年轻的路人完成签到,获得积分10
4秒前
Zoey完成签到,获得积分10
5秒前
锥子完成签到,获得积分10
5秒前
科目三应助风趣从霜采纳,获得10
5秒前
6秒前
LST发布了新的文献求助10
6秒前
Tyche完成签到,获得积分10
6秒前
7秒前
printzhao发布了新的文献求助10
7秒前
斯文败类应助PMME采纳,获得10
8秒前
牛奶糖完成签到,获得积分10
8秒前
xiong完成签到,获得积分10
8秒前
Atlantis完成签到,获得积分10
8秒前
9秒前
9秒前
9秒前
10秒前
xkkk完成签到 ,获得积分10
10秒前
解雨洁完成签到,获得积分10
10秒前
10秒前
hyx完成签到,获得积分10
10秒前
10秒前
科研通AI2S应助hqq采纳,获得10
10秒前
11秒前
辉辉完成签到,获得积分10
11秒前
黑多羊完成签到,获得积分10
11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
Salmon nasal cartilage-derived proteoglycan complexes influence the gut microbiota and bacterial metabolites in mice 2000
The Composition and Relative Chronology of Dynasties 16 and 17 in Egypt 1500
Cowries - A Guide to the Gastropod Family Cypraeidae 1200
ON THE THEORY OF BIRATIONAL BLOWING-UP 666
Signals, Systems, and Signal Processing 610
“美军军官队伍建设研究”系列(全册) 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 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6384630
求助须知:如何正确求助?哪些是违规求助? 8197620
关于积分的说明 17336693
捐赠科研通 5438242
什么是DOI,文献DOI怎么找? 2876052
邀请新用户注册赠送积分活动 1852566
关于科研通互助平台的介绍 1696978