谷歌浏览器插件
订阅小程序
在清言上使用

Human Dendritic Cell Enrichment and Their Activation of T Cells.

Current protocols(2023)

引用 0|浏览5
暂无评分
摘要
Dendritic cells (DCs) enable the immune system to mount and modulate precisely targeted responses to various threats across the organism by bridging innate and adaptive immunity. Historically, DCs have been classified as conventional (cDC) and plasmacytoid (pDC). More recently, cDCs were acknowledged as a heterogenous population composed of several subsets. Examining the functional diversity of cDCs in healthy homeostasis and pathology requires a robust experimental pipeline, beginning with an efficient enrichment protocol in preparation for cell sorting. Unfortunately, several commercial DC enrichment kits were developed before the discovery of the more recently described DC populations. Here, we detail two approaches to enrich human blood DCs or certain DC subsets and an in vitro protocol to examine DC stimulation of naïve T cells. The methods employed here overcome many hurdles encountered while enriching human DC subsets. Basic Protocol 1 describes a method that will enrich pDC, Axl Siglec6-DC (AS-DC), cDC1, DC2, DC3, monocytes, and human HLA+ cells by crosslinking unwanted cells to erythrocytes. Basic Protocol 2 describes the enrichment of pDC, AS-DC, cDC1, and DC2 but not DC3 via a highly efficient negative magnetic selection that is valuable in circumstances where DC3 is not required. Finally, Basic Protocol 3 describes a conventional protocol to perform a Mixed leucocyte Reaction (MLR) following the isolation of these DC subsets. These methods detail the advantages and pitfalls when isolating a heterogeneous population of cells. © 2023 The Authors. Current Protocols published by Wiley Periodicals LLC. Basic Protocol 1: Human peripheral mononuclear phagocyte enrichment Basic Protocol 2: DC enrichment of pDC, cDC1, AS-DC, and DC2 but not DC3 Basic Protocol 3: Basic mixed lymphocyte reaction protocol with sorted human DC subsets.
更多
查看译文
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要