dbDEMC 3.0: Functional Exploration of Differentially Expressed miRNAs in Cancers of Human and Model Organisms

doi:10.1016/j.gpb.2022.04.006

	dbDEMC 3.0: Functional Exploration of Differentially Expressed miRNAs in Cancers of Human and Model Organisms
	Xu, Feng 1,2; Wang, Yifan 3; Ling, Yunchao 3; Zhou, Chenfen 3; Wang, Haizhou 1,2; Teschendorff, Andrew E.4; Zhao, Yi 5; Zhao, Haitao 6; He, Yungang 2,7; Zhang, Guoqing 3; Yang, Zhen 1,2
	2022-06-01
发表期刊	GENOMICS PROTEOMICS & BIOINFORMATICS
ISSN	1672-0229
卷号	20 期号:3 页码:446-454
摘要	MicroRNAs (miRNAs) are important regulators in gene expression. The dysregulation of miRNA expression is widely reported in the transformation from physiological to pathological states of cells. A large number of differentially expressed miRNAs (DEMs) have been identified in various human cancers by using high-throughput technologies, such as microarray and miRNAseq. Through mining of published studies with high-throughput experiment information, the database of DEMs in human cancers (dbDEMC) was constructed with the aim of providing a systematic resource for the storage and query of the DEMs. Here we report an update of the dbDEMC to version 3.0, which contains two-fold more data entries than the second version and now includes also data from mice and rats. The dbDEMC 3.0 contains 3268 unique DEMs in 40 different cancer types. The current datasets for differential expression analysis have expanded to 9 generalized categories. Moreover, the current release integrates functional annotations of DEMs obtained by using experimentally validated targets. The annotations can be of great benefit to the intensive analysis of the roles of DEMs in cancer. In summary, dbDEMC 3.0 provides a valuable resource for characterizing molecular functions and regulatory mechanisms of DEMs in human cancers. The dbDEMC 3.0 is freely accessible at https://www.biosino.org/dbDEMC.
关键词	MicroRNA Cancer Differential expression Model organism Database
DOI	10.1016/j.gpb.2022.04.006
收录类别	SCI
语种	英语
资助项目	National Natural Science Foundation of China[91959106] ; National Natural Science Foundation of China[31871255] ; National Natural Science Foundation of China[91731310] ; National Natural Science Foundation of China[81827901] ; Strategic Priority Research Program of the Chinese Academy of Sciences[XDB38030100] ; Shanghai Municipal Science and Technology[2017SHZDZX01]
WOS研究方向	Genetics & Heredity
WOS类目	Genetics & Heredity
WOS记录号	WOS:000911135500002
出版者	ELSEVIER
引用统计	被引频次：65[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/20062
专题	中国科学院计算技术研究所期刊论文
通讯作者	He, Yungang; Zhang, Guoqing; Yang, Zhen
作者单位	1.Fudan Univ, Ctr Med Res & Innovat, Pudong Hosp, Pudong Med Ctr, Shanghai 201399, Peoples R China 2.Fudan Univ, Minist Sci & Technol, Inst Biomed Sci, Shanghai Key Lab Med Epigenet,Int Colab Med Epige, Shanghai 200032, Peoples R China 3.Chinese Acad Sci, Biomed Big Data Ctr, CAS Key Lab Computat Biol, Shanghai Inst Nutr & Hlth,Univ Chinese Acad Sci, Shanghai 200031, Peoples R China 4.Chinese Acad Sci, CAS Key Lab Computat Biol, Shanghai Inst Nutr & Hlth, Univ Chinese Acad Sci, Shanghai 200031, Peoples R China 5.Chinese Acad Sci, Inst Comp Technol, Beijing 100190, Peoples R China 6.Chinese Acad Med Sci & Peking Union Med Coll, Dept Liver Surg, Peking Union Med Coll Hosp, Beijing 100730, Peoples R China 7.Fudan Univ, Shanghai Peoples Hosp 5, Shanghai 200240, Peoples R China
推荐引用方式 GB/T 7714	Xu, Feng,Wang, Yifan,Ling, Yunchao,et al. dbDEMC 3.0: Functional Exploration of Differentially Expressed miRNAs in Cancers of Human and Model Organisms[J]. GENOMICS PROTEOMICS & BIOINFORMATICS,2022,20(3):446-454.
APA	Xu, Feng.,Wang, Yifan.,Ling, Yunchao.,Zhou, Chenfen.,Wang, Haizhou.,...&Yang, Zhen.(2022).dbDEMC 3.0: Functional Exploration of Differentially Expressed miRNAs in Cancers of Human and Model Organisms.GENOMICS PROTEOMICS & BIOINFORMATICS,20(3),446-454.
MLA	Xu, Feng,et al."dbDEMC 3.0: Functional Exploration of Differentially Expressed miRNAs in Cancers of Human and Model Organisms".GENOMICS PROTEOMICS & BIOINFORMATICS 20.3(2022):446-454.