Single-cell omics in inflammatory bowel disease: recent insights and future clinical applications

组学 疾病 细胞 间质细胞 炎症性肠病 溃疡性结肠炎 生物信息学 炎症 医学 计算生物学 炎症性肠病 结肠炎 电池类型 生物 免疫学 病理 遗传学
作者
Victòria Gudiño,Raquel Bartolomé-Casado,Azucena Salas
出处
期刊:Gut [BMJ]
卷期号:: gutjnl-334165 被引量:1
标识
DOI:10.1136/gutjnl-2024-334165
摘要

Inflammatory bowel diseases (IBDs), which include ulcerative colitis (UC) and Crohn’s disease (CD), are chronic conditions characterised by inflammation of the intestinal tract. Alterations in virtually all intestinal cell types, including immune, epithelial and stromal cells, have been described in these diseases. The study of IBD has historically relied on bulk transcriptomics, but this method averages signals across diverse cell types, limiting insights. Single-cell omic technologies overcome the intrinsic limitations of bulk analysis and reveal the complexity of multicellular tissues at a cell-by-cell resolution. Within healthy and inflamed intestinal tissues, single-cell omics, particularly single-cell RNA sequencing, have contributed to uncovering novel cell types and cell functions linked to disease activity or the development of complications. Collectively, these results help identify therapeutic targets in difficult-to-treat complications such as fibrostenosis, creeping fat accumulation, perianal fistulae or inflammation of the pouch. More recently, single-cell omics have gradually been adopted in studies to understand therapeutic responses, identify mechanisms of drug failure and potentially develop predictors with clinical utility. Although these are early days, such studies lay the groundwork for the implementation in clinical practice of new technologies in diagnostics, monitoring and prediction of disease prognosis. With this review, we aim to provide a comprehensive survey of the studies that have applied single-cell omics to the study of UC or CD, and offer our perspective on the main findings these studies contribute. Finally, we discuss the limitations and potential benefits that the integration of single-cell omics into clinical practice and drug development could offer.
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
小北完成签到,获得积分10
1秒前
犹豫的映菡完成签到,获得积分10
1秒前
未来的幻想完成签到,获得积分10
2秒前
3秒前
4秒前
更好的我完成签到,获得积分10
4秒前
SciGPT应助21采纳,获得10
6秒前
nove999完成签到 ,获得积分10
8秒前
小粒橙完成签到 ,获得积分10
8秒前
小材不菜发布了新的文献求助10
8秒前
a龙完成签到,获得积分10
8秒前
震动的小草完成签到,获得积分10
8秒前
zink完成签到,获得积分10
8秒前
那些兔儿完成签到 ,获得积分0
10秒前
独特乘风完成签到,获得积分10
13秒前
Tangyartie完成签到 ,获得积分10
13秒前
阿萨德完成签到,获得积分10
14秒前
努努完成签到 ,获得积分10
14秒前
机智马里奥完成签到 ,获得积分10
15秒前
HEIKU应助皮皮采纳,获得10
15秒前
15秒前
gtt完成签到,获得积分20
16秒前
出水芙蓉完成签到,获得积分10
17秒前
18秒前
syhjxk完成签到,获得积分10
18秒前
MillionMiao完成签到,获得积分10
18秒前
zhangjianzeng完成签到 ,获得积分10
18秒前
CodeCraft应助ECUST采纳,获得10
18秒前
19秒前
bjglp完成签到,获得积分10
19秒前
jackie完成签到,获得积分10
19秒前
丘比特应助萍萍爱学习采纳,获得10
19秒前
顺利紫山完成签到,获得积分10
19秒前
Melody完成签到,获得积分10
20秒前
陈丫完成签到,获得积分10
20秒前
MillionMiao发布了新的文献求助10
20秒前
衢夭完成签到,获得积分10
20秒前
gtt发布了新的文献求助10
21秒前
qwe1108完成签到 ,获得积分10
21秒前
橘络完成签到 ,获得积分10
21秒前
高分求助中
All the Birds of the World 3000
Weirder than Sci-fi: Speculative Practice in Art and Finance 960
IZELTABART TAPATANSINE 500
Introduction to Comparative Public Administration: Administrative Systems and Reforms in Europe: Second Edition 2nd Edition 300
Spontaneous closure of a dural arteriovenous malformation 300
GNSS Applications in Earth and Space Observations 300
Not Equal : Towards an International Law of Finance 260
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 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3725519
求助须知:如何正确求助?哪些是违规求助? 3270445
关于积分的说明 9965924
捐赠科研通 2985491
什么是DOI,文献DOI怎么找? 1638024
邀请新用户注册赠送积分活动 777792
科研通“疑难数据库(出版商)”最低求助积分说明 747261