亲爱的研友该休息了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!身体可是革命的本钱,早点休息,好梦!

Flow cytometry for B-cell subset analysis in immunodeficiencies

流式细胞术 B细胞 细胞仪 免疫学 抗体 质量细胞仪 生物 免疫分型 免疫系统 计算生物学 表型 遗传学 基因
作者
Attila Kumánovics,Amir A. Sadighi Akha
出处
期刊:Journal of Immunological Methods [Elsevier BV]
卷期号:509: 113327-113327 被引量:13
标识
DOI:10.1016/j.jim.2022.113327
摘要

B cells are one of the fundamental components of the adaptive immune system and are best known for their ability to produce antibodies. Among the various types of inborn errors of immunity, antibody deficiencies represent the largest group in terms of the number of affected individuals. Not all antibody deficiencies are due to B cell intrinsic defects but investigating B cell number and function are a critical part of the diagnostic process. B cells studies in clinical practice almost always rely on flow cytometry as the main tool of investigation. The advantage of flow cytometry is that it allows absolute and relative counting of B cells, and their phenotypic and functional evaluation at a single-cell level, while allowing the analysis of a large number of cells. Although versatile and broad in its utility, clinical flow cytometry has both theoretical and practical limitations. These include lack of consensus about definitions and classifications, and the use of non-standardized methods. Patients in all age groups, from newborns to the elderly, may require testing, yet B cells show significant changes in both numbers and subset distribution over the lifespan, requiring distinct reference ranges for narrowly defined age brackets for accurate interpretation. Sampling for testing is usually restricted to peripheral blood samples, and the number of markers routinely used are limited. This paper will provide a brief overview of flow cytometry and B cell biology, describe the human peripheral B cell subsets most commonly identified in clinical flow cytometry and discuss their clinical relevance in different settings.
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
潇洒的凌兰完成签到,获得积分10
10秒前
MchemG应助科研通管家采纳,获得40
16秒前
Criminology34应助科研通管家采纳,获得10
16秒前
Criminology34应助科研通管家采纳,获得10
16秒前
魔幻的松思完成签到,获得积分10
23秒前
37秒前
默默无闻完成签到 ,获得积分10
39秒前
欢呼的听枫完成签到,获得积分10
44秒前
失眠的惜海完成签到,获得积分10
50秒前
云霓完成签到,获得积分10
54秒前
忧虑的如雪完成签到,获得积分10
1分钟前
闪闪书蕾完成签到,获得积分10
1分钟前
molihuakai应助雪山冰川采纳,获得10
1分钟前
1分钟前
2分钟前
雪山冰川发布了新的文献求助10
2分钟前
BecksTse完成签到 ,获得积分10
2分钟前
现代的初之完成签到,获得积分10
2分钟前
Criminology34应助科研通管家采纳,获得10
2分钟前
Criminology34应助科研通管家采纳,获得10
2分钟前
Criminology34应助科研通管家采纳,获得10
2分钟前
Criminology34应助科研通管家采纳,获得10
2分钟前
Criminology34应助科研通管家采纳,获得10
2分钟前
Criminology34应助科研通管家采纳,获得10
2分钟前
wanci应助科研通管家采纳,获得10
2分钟前
2分钟前
彩色的尔蝶完成签到,获得积分10
2分钟前
2分钟前
浦肯野完成签到,获得积分0
2分钟前
浦肯野发布了新的文献求助10
2分钟前
感性的雅霜完成签到,获得积分10
2分钟前
田様应助浦肯野采纳,获得10
2分钟前
3分钟前
缓慢的花生完成签到,获得积分10
3分钟前
科研通AI6.2应助Laign采纳,获得10
3分钟前
3分钟前
3分钟前
Laign发布了新的文献求助10
3分钟前
斯文败类应助雪山冰川采纳,获得10
3分钟前
研友_VZG7GZ应助Laign采纳,获得10
3分钟前
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
Rosenblum, Global Change Biology 800
自動車の空力技術 800
Essentials of Carbohydrate Chemistry and Biochemistry, 4th Edition 800
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 计算机科学 化学工程 工程类 有机化学 物理 复合材料 生物化学 内科学 细胞生物学 基因 遗传学 免疫学 冶金 光电子学 癌症研究
热门帖子
关注 科研通微信公众号,转发送积分 7778221
求助须知:如何正确求助?哪些是违规求助? 9318750
关于积分的说明 20365704
捐赠科研通 7365268
什么是DOI,文献DOI怎么找? 3319178
关于科研通互助平台的介绍 2466940
邀请新用户注册赠送积分活动 2334499