Unraveling Traditional Chinese Medicine with single-cell RNA sequencing: Current applications and future frontiers

工程伦理学 计算生物学 中医药 精密医学 医学 桥(图论) 生物 电流(流体) 生物医学 工程类 核糖核酸 管理科学 计算机科学 神经科学 生物信息学 数据科学
作者
Xiaodong Chen,Jiangying Liu,Peiying Lu,Jing Zhou,Lishuang Jiang,Yiyan Zhai,Meiling Guo,Huiling Lei,Haojia Wang,Xiaomeng Zhang,Tieshan Wang,Hudan Pan,Jiarui Wu
出处
期刊:Phytomedicine [Elsevier BV]
卷期号:149: 157556-157556 被引量:1
标识
DOI:10.1016/j.phymed.2025.157556
摘要

BACKGROUND: Single-cell RNA sequencing (scRNA-seq) has emerged as a transformative tool in biomedical research, overcoming the limitations of bulk RNA sequencing by resolving cellular heterogeneity, identifying rare cell subtypes, and reconstructing dynamic regulatory networks. This technology holds unprecedented potential for advancing Traditional Chinese Medicine (TCM) research, which faces challenges in deciphering the multi-component, multi-target mechanisms and heterogeneous syndromes using conventional methods. METHODS: Relevant studies were retrieved from PubMed, Web of Science, Google Scholar, and CNKI up to June 2025. Search keywords included "single-cell RNA sequencing", "Traditional Chinese Medicine", "tumor", "inflammatory and autoimmune", and "cardiovascular, cerebrovascular". The inclusion criteria were as follows: (a) original research articles; (b) the application of scRNA-seq in TCM-related research, mainly for TCM in research related to tumors, inflammatory and autoimmune diseases, cardiovascular and cerebrovascular diseases, safety evaluation of TCM, and TCM Syndrome Research. The exclusion criteria comprised: (a) studies irrelevant to the review topic; (b) studies that utilized public datasets solely for data mining. RESULTS: scRNA-seq enables precise identification of bioactive targets of herbal compounds, dissection of synergistic modulation of cellular networks by TCM formulas, and construction of syndrome-associated molecular atlases. Its applications span diverse fields: unraveling immune regulation mechanisms of TCM in tumor therapy, elucidating immunomodulatory effects in inflammatory and autoimmune diseases, clarifying cardioprotective mechanisms in cardiovascular and cerebrovascular disorders, and facilitating safety evaluation of TCM. Additionally, scRNA-seq bridges TCM's holistic syndrome differentiation with molecular medicine by revealing dynamic correlations between TCM syndromes and cellular heterogeneity. By comparing with Western medical research paradigms, scRNA-seq highlights TCM's distinctive focus on network-driven regulation and holistic balance. CONCLUSION: This review summarizes cutting-edge studies and future directions, emphasizing scRNA-seq's role as a critical bridge in integrating TCM's systemic principles with molecular insights, thereby accelerating TCM and its integration into precision medicine.
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
ayu发布了新的文献求助10
1秒前
1秒前
Lolo发布了新的文献求助10
2秒前
2秒前
2秒前
早早完成签到,获得积分10
2秒前
wjzskk完成签到,获得积分10
2秒前
火星上的菲鹰举报cabutack求助涉嫌违规
2秒前
4秒前
yuanjie发布了新的文献求助10
5秒前
liuxun_0711发布了新的文献求助10
6秒前
852应助Jason采纳,获得10
6秒前
6秒前
充电宝应助lovdfg123采纳,获得10
7秒前
8秒前
陈陈潇发布了新的文献求助20
8秒前
9秒前
9秒前
9秒前
宁宁发布了新的文献求助10
9秒前
年年发布了新的文献求助10
9秒前
JONG发布了新的文献求助10
9秒前
ijcai发布了新的文献求助10
10秒前
11秒前
12秒前
SunH发布了新的文献求助10
12秒前
yzy完成签到,获得积分10
12秒前
烟花应助陌上花开采纳,获得30
12秒前
爱吃无核瓜子完成签到,获得积分10
14秒前
hailee发布了新的文献求助10
14秒前
jiazunyao完成签到,获得积分10
14秒前
15秒前
15秒前
15秒前
16秒前
Ankhtt完成签到,获得积分10
16秒前
包容寻菡完成签到,获得积分10
16秒前
16秒前
17秒前
i1发布了新的文献求助10
17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
2026年中国辛酸癸酸聚乙二醇甘油酯行业市场现状调查及投资机会研判报告 1000
2026年中国辛酸癸酸聚乙二醇甘油酯行业市场规模及竞争格局分析报告 1000
模型平均及其应用 900
Nondestructive Testing Handbook: Vol. 4, Thermal and Infrared Testing (IR), 4th ed 800
Évora na Idade Média 555
作者名:Kristopher P. Plain,悉尼大学的,目前只能查到其四篇论文,想找到其博士论文 550
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 7343646
求助须知:如何正确求助?哪些是违规求助? 8956336
关于积分的说明 19016291
捐赠科研通 6995771
什么是DOI,文献DOI怎么找? 3219581
关于科研通互助平台的介绍 2384642
邀请新用户注册赠送积分活动 2199783