Generation of Inducible Immortalized Dendritic Cells with Proper Immune Function In Vitro and In Vivo

作者
Cornelia Richter,Sebastian Thieme,Joanna Bandoła,Magdalena Laugsch,Konstantinos Anastassiadis,Sebastian Brenner
出处
期刊:PLOS ONE [Public Library of Science]
卷期号:8 (4): e62621-e62621 被引量:29
标识
DOI:10.1371/journal.pone.0062621
摘要

Dendritic cells are the professional antigen presenting cells of innate immunity and key players in maintaining the balance of immune responses. Studies with dendritic cells are mainly limited by their low numbers in vivo and their difficult maintenance in vitro. We differentiated bone marrow cells from transgenic mice expressing an inducible SV40 large T-antigen into dendritic cells. When immortalized by dexamethasone and doxycycline, these cells were stable in long-term culture. In the absence of dexamethasone and doxycycline (de-induction), dendritic cells displayed properties of primary cells, characterized by expression of classical dendritic cell surface markers CD11c, CD11b, MHCII, CD40 and CD86. Furthermore, de-induced lipopolysaccharide activated dendritic cells secreted IL-1β, IL-6, TNFα and IL-12. De-induced, Ovalbumin-loaded dendritic cells polarize CD4(+) T cells into Th1, Th17 and Th2 cells, indicating their correct antigen presenting property. Consistent with intratracheal application of Ovalbumin-loaded primary dendritic cells into mice, the application of de-induced dendritic cells resulted in recruitment of lymphocytes to the lungs. In summary, we successfully expanded dendritic cells using conditional immortalization. The generated dendritic cells demonstrate the characteristic immunophenotype of primary dendritic cells and will facilitate further studies on immunomodulatory properties of dendritic cells.

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
阿黎发布了新的文献求助10
1秒前
大模型应助ghhhn采纳,获得10
1秒前
2秒前
2秒前
L10086完成签到 ,获得积分10
2秒前
2秒前
尼斯卡完成签到,获得积分10
3秒前
cuican完成签到,获得积分10
3秒前
3秒前
完美世界应助机器猫nzy采纳,获得10
4秒前
Xiaobai完成签到,获得积分10
4秒前
4秒前
5秒前
顾矜应助怪脾气采纳,获得10
5秒前
animenz完成签到,获得积分10
5秒前
GeoGou812完成签到,获得积分10
6秒前
xjiang015完成签到,获得积分10
6秒前
怡然铃铛发布了新的文献求助10
6秒前
咩咩发布了新的文献求助10
6秒前
7秒前
Li完成签到 ,获得积分10
7秒前
沉静的荆完成签到,获得积分10
7秒前
坡坡完成签到,获得积分10
7秒前
7秒前
8秒前
8秒前
阿黎完成签到,获得积分10
9秒前
9秒前
大力依珊完成签到,获得积分10
9秒前
9秒前
10秒前
11秒前
遇见馅儿饼完成签到,获得积分10
11秒前
totoro完成签到,获得积分10
12秒前
summer完成签到,获得积分10
12秒前
不真发布了新的文献求助10
12秒前
水本无忧87完成签到,获得积分10
12秒前
大个应助李卓航采纳,获得10
13秒前
Denz完成签到,获得积分10
13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
An Introduction to Foreign Language Learning and Teaching 750
China Pluperfect I: Epistemology of Past and Outside in Chinese Art 520
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Les chinois de jakarta: temples et vie collective 500
The fast track to determining transfer functions of linear circuits: The student guide 500
What is the Future of Psychotherapy in Digital Age? Technology, AI Bots, and Psychotherapy after Covid 444
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 7628129
求助须知:如何正确求助?哪些是违规求助? 9202533
关于积分的说明 19731512
捐赠科研通 7197860
什么是DOI,文献DOI怎么找? 3273926
关于科研通互助平台的介绍 2436244
邀请新用户注册赠送积分活动 2270100