Exploring single-cell RNA sequencing as a decision-making tool in the clinical management of Fuchs’ endothelial corneal dystrophy

临床试验 生物 计算生物学 医学 生物信息学
作者
Gink N. Yang,Yu Sun,Philip Ke Roberts,Hothri Moka,Min Kyung Sung,Jesse Gardner-Russell,Layal El Wazan,B. Toussaint,Satheesh Kumar,Heather Machin,Gregory J. Dusting,Geraint J. Parfitt,Kathryn Davidson,Elaine Chong,Karl David Brown,José M. Polo,Mark Daniell
出处
期刊:Progress in Retinal and Eye Research [Elsevier BV]
卷期号:102: 101286-101286 被引量:1
标识
DOI:10.1016/j.preteyeres.2024.101286
摘要

Single-cell RNA sequencing (scRNA-seq) has enabled the identification of novel gene signatures and cell heterogeneity in numerous tissues and diseases. Here we review the use of this technology for Fuchs' Endothelial Corneal Dystrophy (FECD). FECD is the most common indication for corneal endothelial transplantation worldwide. FECD is challenging to manage because it is genetically heterogenous, can be autosomal dominant or sporadic, and progress at different rates. Single-cell RNA sequencing has enabled the discovery of several FECD subtypes, each with associated gene signatures, and cell heterogeneity. Current FECD treatments are mainly surgical, with various Rho kinase (ROCK) inhibitors used to promote endothelial cell metabolism and proliferation following surgery. A range of emerging therapies for FECD including cell therapies, gene therapies, tissue engineered scaffolds, and pharmaceuticals are in preclinical and clinical trials. Unlike conventional disease management methods based on clinical presentations and family history, targeting FECD using scRNA-seq based precision-medicine has the potential to pinpoint the disease subtypes, mechanisms, stages, severities, and help clinicians in making the best decision for surgeries and the applications of therapeutics. In this review, we first discuss the feasibility and potential of using scRNA-seq in clinical diagnostics for FECD, highlight advances from the latest clinical treatments and emerging therapies for FECD, integrate scRNA-seq results and clinical notes from our FECD patients and discuss the potential of applying alternative therapies to manage these cases clinically.
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
香蕉觅云应助害羞白云采纳,获得10
刚刚
神经娃发布了新的文献求助10
刚刚
马里奥完成签到,获得积分10
1秒前
1秒前
万能图书馆应助zhangyx采纳,获得10
2秒前
不再是纳米的正肽完成签到,获得积分10
2秒前
青阳完成签到,获得积分0
2秒前
abadd12发布了新的文献求助10
2秒前
一只盒子完成签到,获得积分10
3秒前
大个应助遇见馅儿饼采纳,获得10
3秒前
mh完成签到,获得积分10
3秒前
落寞的羊青应助美满平松采纳,获得30
3秒前
充电宝应助美满平松采纳,获得10
3秒前
3秒前
Lucas应助美满平松采纳,获得10
3秒前
chenjunyong17完成签到,获得积分10
3秒前
爆米花应助美满平松采纳,获得10
4秒前
WLL完成签到,获得积分10
4秒前
彭于晏应助美满平松采纳,获得10
4秒前
斯文败类应助美满平松采纳,获得10
4秒前
czh发布了新的文献求助10
4秒前
王若琪完成签到 ,获得积分10
4秒前
5秒前
Orange应助kmkz采纳,获得10
5秒前
lebangzhanshi完成签到,获得积分10
5秒前
doby完成签到,获得积分10
5秒前
现实的幻露完成签到,获得积分10
5秒前
慕青应助zzzz采纳,获得10
5秒前
Garland发布了新的文献求助10
6秒前
SciGPT应助花照林采纳,获得10
6秒前
SciGPT应助花照林采纳,获得10
7秒前
MozzieMiao应助云鹤采纳,获得10
7秒前
7秒前
Miya完成签到,获得积分10
7秒前
酷波er应助初景采纳,获得10
7秒前
叁叁关注了科研通微信公众号
8秒前
苹果王子6699完成签到 ,获得积分0
8秒前
自觉的宇完成签到 ,获得积分10
8秒前
8秒前
打打应助Niki采纳,获得10
9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 7628184
求助须知:如何正确求助?哪些是违规求助? 9202607
关于积分的说明 19731862
捐赠科研通 7197894
什么是DOI,文献DOI怎么找? 3273933
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 2270126