Dissecting B/Plasma Cells in Periodontitis at Single-Cell/Bulk Resolution

牙周炎 免疫系统 转录组 细胞 生物 等离子体电池 计算生物学 免疫学 医学 基因 基因表达 遗传学 内科学 抗体
作者
Liu Liu,Yue Chen,Ling Wang,Fan Yang,Xudong Li,Shuang Luo,Lin Yang,T. Wang,Dongzhe Song,Dingming Huang
出处
期刊:Journal of Dental Research [SAGE Publishing]
卷期号:101 (11): 1388-1397 被引量:15
标识
DOI:10.1177/00220345221099442
摘要

In recent decades, our understanding of periodontitis has evolved from that based on a gross/histologic level to one on a cellular/molecular level. Previous landscape studies have explored molecular subtyping, diagnosis, and gingival tissue cell decomposition in periodontitis, and meaningful results have been obtained at a transcriptomic level. However, current periodontitis transcriptomic studies lack a finer dissection of the intercommunication between immune cells and the biological processes of specific immune cell subtypes. In this study, we classified 15 immune cell types in periodontitis at a single-cell level and conducted a cell communication analysis based on a multicenter integrated single-cell transcriptome profile, in which plasma cell-generated macrophage migration inhibitory factor can communicate with most other immune cells in periodontitis. A pseudotime analysis focusing on B/plasma cell infiltration in periodontitis revealed 2 distinct cell fates (CFs) for B/plasma cells. In addition, at a bulk tissue level, a single-sample gene set enrichment analysis showed a similar immune cell infiltration trend, and a weighted gene coexpression network analysis identified an immune-related gene module. Combined with the above findings, we used machine learning methods to further narrow down potential gene candidates for developing and validating molecular diagnostic models of periodontitis. Multivariable logistic regression of a large public cohort (68 healthy vs. 235 periodontitis) and an independent validation cohort (12 healthy vs. 7 periodontitis) showed the CF1 signature provides a good discrimination and calibration performance with clinical benefits at a proper threshold probability. Furthermore, quantitative real-time polymerase chain reaction validation of the gene candidates was performed in both snap-frozen gingival tissues and gingival crevicular fluids. Our transcriptomic landscape analysis at both single-cell and bulk tissue resolutions thereby illustrates the B/plasma cell infiltration process in periodontitis and reveals a gene signature that may assist in molecular diagnosis of the disease.
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
fcf335gj发布了新的文献求助10
1秒前
day完成签到,获得积分10
4秒前
molihuakai的应助被sun采纳,获得10
5秒前
Z鑫鑫子完成签到,获得积分10
6秒前
一只膨胀的猪完成签到,获得积分10
6秒前
言卿发布了新的文献求助10
6秒前
巴爪鱼完成签到,获得积分10
6秒前
日月同辉完成签到,获得积分10
8秒前
9秒前
11秒前
慕青的应助被花影移采纳,获得10
12秒前
12秒前
12秒前
lagom发布了新的文献求助20
14秒前
sun发布了新的文献求助10
17秒前
圆珠笔发布了新的文献求助10
18秒前
18秒前
annaanna完成签到 ,获得积分10
18秒前
Rudan完成签到,获得积分10
20秒前
完美世界的应助被Naileux_L采纳,获得10
24秒前
科研通AI6.2的应助被scugy采纳,获得10
25秒前
安详灵安发布了新的文献求助10
25秒前
26秒前
27秒前
xjzz发布了新的文献求助30
30秒前
CodeCraft的应助被Firewoods采纳,获得20
31秒前
笨笨琪发布了新的文献求助10
31秒前
李麟完成签到,获得积分10
34秒前
34秒前
35秒前
36秒前
37秒前
39秒前
39秒前
40秒前
傲娇的凡之完成签到 ,获得积分10
40秒前
figp的应助被科研通管家采纳,获得10
40秒前
figp的应助被科研通管家采纳,获得10
41秒前
Jasper的应助被科研通管家采纳,获得10
41秒前
初景的应助被科研通管家采纳,获得20
41秒前
高分求助中
(应助此贴封号)通过应助OA文献获取积分 10000
Rosenblum, Global Change Biology 800
The Student's Guide to Social Neuroscience 600
Computational Chemical Reaction Engineering: Modeling, Simulation, and Design with MATLAB 600
Organizational Behavior 510
Management and the Arts 510
A Will for the Machine: Computerization, Automation, and the Arts in South Africa 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 计算机科学 工程类 纳米技术 内科学 物理 有机化学 化学工程 生物化学 复合材料 光电子学 细胞生物学 心理学 量子力学 催化作用 物理化学 电极
热门帖子
关注 科研通微信公众号,转发送积分 7810627
求助须知:如何正确求助?哪些是违规求助? 9342298
关于积分的说明 20512102
捐赠科研通 7403471
什么是DOI,文献DOI怎么找? 3329412
关于科研通互助平台的介绍 2476320
邀请新用户注册赠送积分活动 2348354