QuickSwitch™: an MHC tetramer platform for making fast and reliable custom tetramers for T cell staining

四聚体 主要组织相容性复合体 计算生物学 化学 抗原 生物 细胞生物学 生物物理学 生物化学 免疫学
作者
Yuri O Poluektov,Marc Delcommenne
出处
期刊:Journal of Immunology [American Association of Immunologists]
卷期号:210 (Supplement_1): 221.26-221.26
标识
DOI:10.4049/jimmunol.210.supp.221.26
摘要

Abstract The use of MHC tetramers to identify antigen specific T cells has become widespread among immunologists since the late 90s. Tetramers have become so ubiquitous that many companies and research facilities can ship and deliver some of the most commonly used tetramers within a matter of days. But when it comes to the uncommon tetramers or tetramers with antigenic peptides that have only recently been identified, it may be quite a challenge to find the needed tetramer. In this case, most researchers are left with trying to produce their own tetramer or having another facility do it for them, which can become a lengthy process. In an effort to help those researchers, we have developed the QuickSwitch™ MHC tetramer. This MHC tetramer comes loaded with a place-holder peptide (or exiting peptide) that can be exchanged for most well-binding peptides of a given MHC haplotype. This way, researchers are able to make a tetramer with any peptide they have available in a matter of hours. More importantly, our MHC tetramer platform comes with a means to monitor how much of the available peptide has exchanged with the exiting peptide and quantify the MHC occupancy. This allows the user to not only determine if the peptide in question can make a viable MHC tetramer, but also identify the strong and weak binding peptides for that MHC haplotype. This piece of information can be invaluable in future studies, in particular for vaccine development. MBL International

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
东方元语应助挽歌采纳,获得20
刚刚
所所应助猪头军师采纳,获得10
刚刚
xiaobai发布了新的文献求助30
2秒前
Yuzai发布了新的文献求助10
2秒前
无花果应助禾之采纳,获得10
3秒前
科研通AI6.4应助Yang采纳,获得10
3秒前
MingWang完成签到 ,获得积分10
3秒前
3秒前
一切都好完成签到 ,获得积分10
4秒前
5秒前
宛千皓发布了新的文献求助30
5秒前
6秒前
8秒前
8秒前
future完成签到,获得积分10
9秒前
shuo0976发布了新的文献求助10
9秒前
可爱的函函应助考研小白采纳,获得10
9秒前
脑洞疼应助PO采纳,获得10
9秒前
喝可乐的萝卜兔完成签到 ,获得积分10
11秒前
大个应助笔记本采纳,获得10
12秒前
搜集达人应助韩琳采纳,获得10
13秒前
123完成签到 ,获得积分10
13秒前
14秒前
14秒前
el完成签到,获得积分10
14秒前
PO完成签到,获得积分10
16秒前
李爱国应助lei采纳,获得10
17秒前
lisaLi完成签到,获得积分10
18秒前
el发布了新的文献求助10
18秒前
18秒前
19秒前
19秒前
Ava应助记得开心亿点采纳,获得10
19秒前
在水一方应助小琦无敌采纳,获得10
19秒前
Owen应助小琦无敌采纳,获得10
20秒前
领导范儿应助小红salin采纳,获得10
20秒前
hu发布了新的文献求助10
20秒前
坚强豪英发布了新的文献求助30
20秒前
PO完成签到,获得积分10
21秒前
21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
Römisch-Germanische Forschungen 1000
APA handbook of comparative psychology: Basic concepts, methods, neural substrate, and behavior 1000
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
Electric machines: theory, operating applications, and controls 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 7604045
求助须知:如何正确求助?哪些是违规求助? 9179807
关于积分的说明 19660229
捐赠科研通 7179217
什么是DOI,文献DOI怎么找? 3269251
关于科研通互助平台的介绍 2433341
邀请新用户注册赠送积分活动 2263280