Mass cytometry analysis of immune cells in the brain

质量细胞仪 免疫系统 生物 细胞仪 人口 流式细胞术 细胞生物学 免疫学 医学 表型 遗传学 环境卫生 基因
作者
Ben Korin,Tania Dubovik,Asya Rolls
出处
期刊:Nature Protocols [Nature Portfolio]
卷期号:13 (2): 377-391 被引量:48
标识
DOI:10.1038/nprot.2017.155
摘要

Immune cells comprise a diverse and dynamic cell population that is responsible for a broad range of immunological activities. They act in concert with other immune and nonimmune cells via cytokine-mediated communication and direct cell-cell interactions. Understanding the complex immune network requires a broad characterization of its individual cellular components. This is especially relevant for the brain compartment, which is an active immunological site, composed of resident and infiltrating immune cells that affect brain development, tissue homeostasis and neuronal activity. Mass cytometry, or CyTOF (cytometry by time-of-flight), uses metal-conjugated antibodies to enable a high-dimensional description of tens of markers at the single-cell level, thereby providing a bird's-eye view of the immune system. This technique has been successfully applied to the discovery of novel immune populations in humans and rodents. Here, we provide a step-by-step description of a mass cytometry approach for the analysis of the mouse brain compartment. The different stages of the procedure include brain perfusion, extraction of the brain tissue and its dissociation into a single-cell suspension, followed by cell staining with metal-tagged antibodies, sample reading using a mass cytometer, and data analysis using SPADE and viSNE. This procedure takes <5 h (excluding data analysis) and can be applied to study modifications in the brain's immune populations under normal and pathological conditions.

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
1秒前
1秒前
2秒前
3秒前
3秒前
4秒前
科研通AI6.2应助klawfuio采纳,获得10
4秒前
qqli完成签到,获得积分10
6秒前
lily发布了新的文献求助10
7秒前
英姑应助Jason采纳,获得10
7秒前
秋白发布了新的文献求助10
7秒前
1851611453发布了新的文献求助10
7秒前
8秒前
10秒前
11秒前
小苹果发布了新的文献求助10
11秒前
12秒前
英俊的铭应助elvira采纳,获得10
12秒前
lala完成签到,获得积分10
13秒前
不晚完成签到 ,获得积分10
14秒前
olso发布了新的文献求助10
14秒前
科研通AI2S应助蓝湛采纳,获得10
15秒前
15秒前
雪满头应助suzy采纳,获得10
16秒前
16秒前
无花果应助1851611453采纳,获得10
16秒前
小盼盼呀完成签到 ,获得积分10
16秒前
王柯完成签到 ,获得积分10
19秒前
20秒前
许可991127发布了新的文献求助10
20秒前
科研通AI6.4应助YNR采纳,获得10
21秒前
雨晨发布了新的文献求助10
21秒前
寂寞的丹秋完成签到,获得积分10
21秒前
smzhabc完成签到,获得积分10
22秒前
22秒前
23秒前
王彬发布了新的文献求助10
24秒前
秋白完成签到,获得积分20
25秒前
橙汁完成签到,获得积分10
26秒前
26秒前
高分求助中
Principles of Economics, 11th Edition 10000
University Physics with Modern Physics, 16th edition 10000
(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
Arthritis and Related Conditions, An Issue of Orthopedic Clinics 1000
Development of a Bridge Weigh-In-Motion System: A technology to convert the bridge response to the passage of traffic into data on vehicle configurations, speeds, times of travel and weights 1000
ズームレンズの光学設計に関する研究 800
Fundamentals of Pharmaceutical and Biologics Regulations: A Global Perspective, Second Edition 700
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 7284564
求助须知:如何正确求助?哪些是违规求助? 8905339
关于积分的说明 18843179
捐赠科研通 6954711
什么是DOI,文献DOI怎么找? 3207916
关于科研通互助平台的介绍 2378146
邀请新用户注册赠送积分活动 2183465