Multi-omics in exploring the pathophysiology of diabetic retinopathy

组学 计算生物学 疾病 生物 转录组 糖尿病性视网膜病变 代谢组学 生物信息学 基因 糖尿病 医学 遗传学 基因表达 病理 内分泌学
作者
Xinlu Li,Xifeng Dong,Wen Zhang,Zhi‐Zhou Shi,Zhongjian Liu,Yalian Sa,Li Li,Ninghua Ni,Yan Mei
出处
期刊:Frontiers in Cell and Developmental Biology [Frontiers Media SA]
卷期号:12
标识
DOI:10.3389/fcell.2024.1500474
摘要

Diabetic retinopathy (DR) is a leading global cause of vision impairment, with its prevalence increasing alongside the rising rates of diabetes mellitus (DM). Despite the retina’s complex structure, the underlying pathology of DR remains incompletely understood. Single-cell RNA sequencing (scRNA-seq) and recent advancements in multi-omics analyses have revolutionized molecular profiling, enabling high-throughput analysis and comprehensive characterization of complex biological systems. This review highlights the significant contributions of scRNA-seq, in conjunction with other multi-omics technologies, to DR research. Integrated scRNA-seq and transcriptomic analyses have revealed novel insights into DR pathogenesis, including alternative transcription start site events, fluctuations in cell populations, altered gene expression profiles, and critical signaling pathways within retinal cells. Furthermore, by integrating scRNA-seq with genetic association studies and multi-omics analyses, researchers have identified novel biomarkers, susceptibility genes, and potential therapeutic targets for DR, emphasizing the importance of specific retinal cell types in disease progression. The integration of scRNA-seq with metabolomics has also been instrumental in identifying specific metabolites and dysregulated pathways associated with DR. It is highly conceivable that the continued synergy between scRNA-seq and other multi-omics approaches will accelerate the discovery of underlying mechanisms and the development of novel therapeutic interventions for DR.

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
大幅提高文件上传限制,最高150M (2024-4-1)

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
Ava应助昵称采纳,获得10
刚刚
FashionBoy应助科研通管家采纳,获得10
5秒前
萧水白应助科研通管家采纳,获得10
6秒前
华仔应助科研通管家采纳,获得10
6秒前
香蕉觅云应助科研通管家采纳,获得10
6秒前
Akim应助科研通管家采纳,获得10
6秒前
乐乐应助科研通管家采纳,获得30
6秒前
QuxiZhang发布了新的文献求助10
6秒前
完美世界应助科研通管家采纳,获得10
6秒前
6秒前
wanci应助科研通管家采纳,获得10
6秒前
ding应助科研通管家采纳,获得10
6秒前
桐桐应助科研通管家采纳,获得10
6秒前
完美世界应助科研通管家采纳,获得10
6秒前
Owen应助科研通管家采纳,获得10
6秒前
乐乐应助科研通管家采纳,获得10
6秒前
完美世界应助科研通管家采纳,获得10
6秒前
爆米花应助科研通管家采纳,获得30
7秒前
7秒前
7秒前
8秒前
杳鸢应助天真彩虹采纳,获得20
8秒前
脑洞疼应助秦子越采纳,获得10
11秒前
12秒前
阳光山槐发布了新的文献求助10
12秒前
偶然发现的西柚完成签到 ,获得积分10
12秒前
勤劳怜寒完成签到,获得积分10
14秒前
八点必起发布了新的文献求助10
15秒前
21秒前
小马甲应助加油呀采纳,获得30
23秒前
淡然向松完成签到 ,获得积分10
25秒前
26秒前
pan完成签到,获得积分10
27秒前
fuyaoye2010发布了新的文献求助10
28秒前
奶桃七七发布了新的文献求助10
29秒前
李健的小迷弟应助Jinyi采纳,获得10
30秒前
30秒前
小白发布了新的文献求助10
34秒前
34秒前
星辰大海应助玥来玥好采纳,获得10
36秒前
高分求助中
Rock-Forming Minerals, Volume 3C, Sheet Silicates: Clay Minerals 2000
The late Devonian Standard Conodont Zonation 2000
Nickel superalloy market size, share, growth, trends, and forecast 2023-2030 2000
The Lali Section: An Excellent Reference Section for Upper - Devonian in South China 1500
The Healthy Socialist Life in Maoist China 600
The Vladimirov Diaries [by Peter Vladimirov] 600
A new species of Coccus (Homoptera: Coccoidea) from Malawi 500
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 3267632
求助须知:如何正确求助?哪些是违规求助? 2907088
关于积分的说明 8340578
捐赠科研通 2577809
什么是DOI,文献DOI怎么找? 1401227
科研通“疑难数据库(出版商)”最低求助积分说明 655005
邀请新用户注册赠送积分活动 633974