OsteoporosAtlas: a human osteoporosis-related gene database

骨质疏松症 基因 数据库 生物信息学 疾病 医学 计算生物学 计算机科学 生物 遗传学 病理
作者
Xun Wang,Lihong Diao,Dezhi Sun,Dan Wang,Jiarun Zhu,Yangzhige He,Yuan Liu,Hao Xu,Zhang Yi,Jinying Liu,Yan Wang,Fuchu He,Yang Li,Dong Liu
出处
期刊:PeerJ [PeerJ]
卷期号:7: e6778-e6778 被引量:6
标识
DOI:10.7717/peerj.6778
摘要

Osteoporosis is a common, complex disease of bone with a strong heritable component, characterized by low bone mineral density, microarchitectural deterioration of bone tissue and an increased risk of fracture. Due to limited drug selection for osteoporosis and increasing morbidity, mortality of osteoporotic fractures, osteoporosis has become a major health burden in aging societies. Current researches for identifying specific loci or genes involved in osteoporosis contribute to a greater understanding of the pathogenesis of osteoporosis and the development of better diagnosis, prevention and treatment strategies. However, little is known about how most causal genes work and interact to influence osteoporosis. Therefore, it is greatly significant to collect and analyze the studies involved in osteoporosis-related genes. Unfortunately, the information about all these osteoporosis-related genes is scattered in a large amount of extensive literature. Currently, there is no specialized database for easily accessing relevant information about osteoporosis-related genes and miRNAs.We extracted data from literature abstracts in PubMed by text-mining and manual curation. Moreover, a local MySQL database containing all the data was developed with PHP on a Windows server.OsteoporosAtlas (http://biokb.ncpsb.org/osteoporosis/), the first specialized database for easily accessing relevant information such as osteoporosis-related genes and miRNAs, was constructed and served for researchers. OsteoporosAtlas enables users to retrieve, browse and download osteoporosis-related genes and miRNAs. Gene ontology and pathway analyses were integrated into OsteoporosAtlas. It currently includes 617 human encoding genes, 131 human non-coding miRNAs, and 128 functional roles. We think that OsteoporosAtlas will be an important bioinformatics resource to facilitate a better understanding of the pathogenesis of osteoporosis and developing better diagnosis, prevention and treatment strategies.
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
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

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
向乐瑶发布了新的文献求助10
刚刚
上善若水完成签到,获得积分10
1秒前
夜轩岚完成签到,获得积分10
1秒前
可耐的寒松完成签到,获得积分10
1秒前
程瑶瑶瑶完成签到 ,获得积分10
1秒前
特安谭完成签到,获得积分10
1秒前
prefectmi完成签到,获得积分10
1秒前
Rain1god完成签到,获得积分10
2秒前
2秒前
3秒前
Migrol完成签到,获得积分10
5秒前
stars完成签到,获得积分10
5秒前
wenwei完成签到,获得积分10
5秒前
boyue完成签到,获得积分10
5秒前
慕青应助科研通管家采纳,获得10
7秒前
科研通AI6应助科研通管家采纳,获得10
7秒前
李爱国应助科研通管家采纳,获得10
7秒前
烟花应助科研通管家采纳,获得10
7秒前
7秒前
7秒前
7秒前
冯小路完成签到 ,获得积分10
8秒前
momo1235完成签到,获得积分10
8秒前
bobo发布了新的文献求助10
10秒前
Tameiki完成签到 ,获得积分10
10秒前
10秒前
苦力完成签到 ,获得积分10
10秒前
Akim应助七七采纳,获得10
11秒前
香蕉曼寒完成签到,获得积分20
11秒前
12秒前
Gandiva完成签到,获得积分10
12秒前
通透科研完成签到,获得积分10
13秒前
gong9456完成签到,获得积分10
13秒前
包容的若风完成签到,获得积分10
13秒前
13秒前
浮游应助FJ采纳,获得10
13秒前
火顺丁完成签到,获得积分10
14秒前
ZZ关注了科研通微信公众号
14秒前
ztt1221完成签到,获得积分10
14秒前
jjjwln完成签到,获得积分10
15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
List of 1,091 Public Pension Profiles by Region 1001
EEG in Childhood Epilepsy: Initial Presentation & Long-Term Follow-Up 500
Latent Class and Latent Transition Analysis: With Applications in the Social, Behavioral, and Health Sciences 500
On the application of advanced modeling tools to the SLB analysis in NuScale. Part I: TRACE/PARCS, TRACE/PANTHER and ATHLET/DYN3D 500
L-Arginine Encapsulated Mesoporous MCM-41 Nanoparticles: A Study on In Vitro Release as Well as Kinetics 500
Haematolymphoid Tumours (Part A and Part B, WHO Classification of Tumours, 5th Edition, Volume 11) 400
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 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 物理化学 基因 遗传学 催化作用 冶金 量子力学 光电子学
热门帖子
关注 科研通微信公众号,转发送积分 5470707
求助须知:如何正确求助?哪些是违规求助? 4573555
关于积分的说明 14339017
捐赠科研通 4500573
什么是DOI,文献DOI怎么找? 2465906
邀请新用户注册赠送积分活动 1454143
关于科研通互助平台的介绍 1428858