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]
卷期号:101 (11): 1388-1397 被引量:10
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
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

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
orixero应助箴言Julius采纳,获得10
刚刚
JV完成签到,获得积分10
1秒前
wxtlzzdp发布了新的文献求助10
1秒前
1秒前
Ashore完成签到,获得积分10
1秒前
桃红完成签到,获得积分20
1秒前
2秒前
2秒前
3秒前
香蕉觅云应助负责的方盒采纳,获得10
4秒前
wanci应助JV采纳,获得10
4秒前
5秒前
5秒前
wop111驳回了852应助
6秒前
无花果应助超帅妙妙采纳,获得10
6秒前
7秒前
英吉利25发布了新的文献求助30
7秒前
GPTea应助Wanfeng采纳,获得100
8秒前
8秒前
wang发布了新的文献求助10
8秒前
9秒前
古月博士完成签到,获得积分10
10秒前
52251013106发布了新的文献求助10
10秒前
浮游应助wxtlzzdp采纳,获得10
10秒前
11秒前
不开心发布了新的文献求助10
11秒前
雨好大发布了新的文献求助10
11秒前
田様应助光芒万丈采纳,获得10
13秒前
何畅关注了科研通微信公众号
13秒前
传奇3应助dyk采纳,获得10
14秒前
14秒前
mr_wang发布了新的文献求助10
14秒前
OxO完成签到,获得积分10
15秒前
15秒前
16秒前
耶耶耶发布了新的文献求助10
16秒前
17秒前
lili完成签到 ,获得积分10
17秒前
高兴的悟空完成签到,获得积分10
17秒前
所所应助无限水杯采纳,获得10
18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
HIGH DYNAMIC RANGE CMOS IMAGE SENSORS FOR LOW LIGHT APPLICATIONS 1500
Bandwidth Choice for Bias Estimators in Dynamic Nonlinear Panel Models 1000
Constitutional and Administrative Law 1000
The Social Work Ethics Casebook: Cases and Commentary (revised 2nd ed.). Frederic G. Reamer 800
Holistic Discourse Analysis 600
Vertébrés continentaux du Crétacé supérieur de Provence (Sud-Est de la France) 600
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 物理化学 基因 遗传学 催化作用 冶金 量子力学 光电子学
热门帖子
关注 科研通微信公众号,转发送积分 5355169
求助须知:如何正确求助?哪些是违规求助? 4487134
关于积分的说明 13969038
捐赠科研通 4387809
什么是DOI,文献DOI怎么找? 2410606
邀请新用户注册赠送积分活动 1403044
关于科研通互助平台的介绍 1376758