Differential expression patterns of specific long noncoding RNAs and competing endogenous RNA network in alopecia areata

竞争性内源性RNA 小RNA 斑秃 生物 长非编码RNA DNA微阵列 核糖核酸 信使核糖核酸 计算生物学 微阵列分析技术 基因表达 基因 遗传学
作者
Yuan Sheng,Jingwen Ma,Jun Zhao,Shaohua Qi,Ruiming Hu,Qinping Yang
出处
期刊:Journal of Cellular Biochemistry [Wiley]
卷期号:120 (6): 10737-10747 被引量:9
标识
DOI:10.1002/jcb.28365
摘要

Abstract Background Long noncoding RNAs (lncRNAs) regulate gene expression by acting with microRNAs (miRNAs) and indirectly interact with messenger RNA (mRNAs). However, the roles of specific lncRNA and its related competing endogenous RNAs (ceRNA) network in alopecia areata (AA) are not fully understood. Methods The blood lncRNA profiles were obtained by microarray from 10 samples, including five alopecia areata samples and five normal samples. Based on bioinformatics generated from miRcode, starBase, and miRTarBase, we constructed an lncRNA‐miRNA‐mRNA network (ceRNA network) in alopecia areata. Results We found 154 differentially expressed lncRNAs and 46 differentially expressed genes (DEGs). The functional enrichment indicated that the DEGs mainly regulated the pathways of focal adhesion, Mucin type O ‐glycan biosynthesis, and so on. The differentially expressed lncRNA (DElncRNA) involved in the pathway of thyronamine and iodothyronamine metabolism and so on. Through integrated lncRNA‐mRNA and miRNA‐mRNA pairs, the ceRNA network was constructed, thereafter, six ceRNA subnetworks were identified and subnetwork 1 were found to be significantly associated with the occurrence of alopecia areata. Conclusion Our results showed blood lncRNA expression patterns and a complex ceRNA network in alopecia areata. However, futher studies on blood and tissue verification of these lncRNAs and relative pathways are needed.
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
Leisure_Lee完成签到,获得积分10
刚刚
香蕉书竹完成签到,获得积分10
刚刚
阔达代芹完成签到,获得积分10
1秒前
2秒前
LI发布了新的文献求助10
2秒前
机智采枫完成签到 ,获得积分10
2秒前
Lven完成签到,获得积分10
3秒前
小小月完成签到 ,获得积分10
3秒前
weizhi完成签到,获得积分10
3秒前
Hyg完成签到 ,获得积分10
3秒前
谷飞飞完成签到,获得积分10
4秒前
悦耳从彤完成签到,获得积分10
4秒前
欣喜念梦完成签到,获得积分10
5秒前
zhaosh完成签到,获得积分10
5秒前
筋筋子完成签到,获得积分10
5秒前
5秒前
5秒前
北海完成签到,获得积分10
6秒前
白桃战士完成签到,获得积分10
6秒前
英姑应助Cyril采纳,获得100
8秒前
8秒前
wzg666完成签到,获得积分10
8秒前
乐乐应助清脆仙人掌采纳,获得30
9秒前
9秒前
9秒前
王m完成签到 ,获得积分10
9秒前
蕊蕊蕊完成签到 ,获得积分10
9秒前
10秒前
NicheFactor完成签到,获得积分10
10秒前
waive完成签到,获得积分10
10秒前
鲁鲁完成签到 ,获得积分10
10秒前
遇见未来完成签到,获得积分10
10秒前
11秒前
PT177245发布了新的文献求助10
11秒前
GYF完成签到,获得积分10
11秒前
脑洞疼应助One采纳,获得10
11秒前
斯文败类应助浅兮采纳,获得10
11秒前
11秒前
12秒前
BCEMTZ完成签到,获得积分10
12秒前
高分求助中
Mass producing individuality 600
Algorithmic Mathematics in Machine Learning 500
Разработка метода ускоренного контроля качества электрохромных устройств 500
Advances in Underwater Acoustics, Structural Acoustics, and Computational Methodologies 300
NK Cell Receptors: Advances in Cell Biology and Immunology by Colton Williams (Editor) 200
Effect of clapping movement with groove rhythm on executive function: focusing on audiomotor entrainment 200
The Oxford Handbook of Video Game Music and Sound 200
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 3827518
求助须知:如何正确求助?哪些是违规求助? 3369808
关于积分的说明 10458344
捐赠科研通 3089517
什么是DOI,文献DOI怎么找? 1699957
邀请新用户注册赠送积分活动 817567
科研通“疑难数据库(出版商)”最低求助积分说明 770269