Prediction Models based on miRNA-disease Relationship: Diagnostic Relevance to Multiple Diseases Including COVID-19

小RNA 疾病 计算生物学 生物标志物 生物信息学 生物 鉴定(生物学) 医学 基因 遗传学 病理 植物
作者
Varruchi Sharma,Amisha Sharma,Mukesh Yadav,Nirmala Sehrawat,Vikas Kumar,Sunil Kumar,Ajay Gupta,Pooja Sharma,Sasanka Chakrabarti
出处
期刊:Current Pharmaceutical Biotechnology [Bentham Science Publishers]
卷期号:24 (10): 1213-1227 被引量:2
标识
DOI:10.2174/1389201024666221025114500
摘要

Small, non-coding microRNAs, usually of 20-25 nucleotides, are known to regulate the post-transcriptional gene expression, which has a significant role in human biological processes, including immune-biogenesis, homeostasis and infection control as differential expression of such miRNAs is responsible for fine-tuning the organismic development.A search of bibliographic databases was carried out with a focused question on microRNA- Disease Prediction. A deductive qualitative content analysis approach was employed to assess the research's overall outcomes, review articles on prediction tools in miRNA-Diseases, and analyse the interventions.Diagnosis and therapeutics of diseases and miRNA prediction methods hold importance in identifying the regulatory mechanisms. Collections of efficient miRNA prediction methods to identify miRNA-mRNA-disease regulatory relationships have been presented through this review, consolidating the potential of miRNAs as a diagnostic and prognostic biomarker of multiple diseases, including COVID-19.The role of miRNA in the aetiology and pathogenesis of wide-range of pathologies, including viral, bacterial to chronic diseases such as cancer, is quite feasible through the modern tools in bioinformatics which has been elaborated focusing upon miRNA-disease prediction methods and their application potential establishing miRNAs as a robust and reliable biomarker in clinicomedical studies.
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
1秒前
海狗发布了新的文献求助10
1秒前
1秒前
1秒前
2秒前
量子星尘发布了新的文献求助10
2秒前
2秒前
3秒前
初宏翔发布了新的文献求助10
4秒前
Brave_1完成签到 ,获得积分10
5秒前
离枝发布了新的文献求助10
5秒前
5秒前
大力的汉堡完成签到,获得积分10
5秒前
5秒前
6秒前
WWW完成签到,获得积分10
6秒前
QZZ发布了新的文献求助10
7秒前
海风吹发布了新的文献求助10
7秒前
三七发布了新的文献求助10
7秒前
8秒前
8秒前
秒秒发布了新的文献求助10
8秒前
英姑应助鲸落采纳,获得10
8秒前
wyf关注了科研通微信公众号
9秒前
田様应助o10采纳,获得30
9秒前
高兴孤云发布了新的文献求助10
9秒前
小铭完成签到,获得积分10
9秒前
量子星尘发布了新的文献求助10
10秒前
10秒前
10秒前
LEETHEO完成签到,获得积分10
11秒前
D&L发布了新的文献求助30
11秒前
Shine完成签到 ,获得积分10
11秒前
深情安青应助初宏翔采纳,获得30
11秒前
12秒前
司徒骁发布了新的文献求助10
12秒前
三七完成签到,获得积分10
12秒前
锦儿发布了新的文献求助10
12秒前
猪猪hero发布了新的文献求助10
13秒前
13秒前
高分求助中
Production Logging: Theoretical and Interpretive Elements 2700
Neuromuscular and Electrodiagnostic Medicine Board Review 1000
Statistical Methods for the Social Sciences, Global Edition, 6th edition 600
こんなに痛いのにどうして「なんでもない」と医者にいわれてしまうのでしょうか 510
The Insulin Resistance Epidemic: Uncovering the Root Cause of Chronic Disease  500
Walter Gilbert: Selected Works 500
An Annotated Checklist of Dinosaur Species by Continent 500
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 3663010
求助须知:如何正确求助?哪些是违规求助? 3223738
关于积分的说明 9753126
捐赠科研通 2933645
什么是DOI,文献DOI怎么找? 1606294
邀请新用户注册赠送积分活动 758404
科研通“疑难数据库(出版商)”最低求助积分说明 734792