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HMDD v3.0:一个实验支持的人类 microRNA-疾病关联数据库。

HMDD v3.0: a database for experimentally supported human microRNA-disease associations.

机构信息

Department of Biomedical Informatics, Department of Physiology and Pathophysiology, Center for Noncoding RNA Medicine, MOE Key Lab of Cardiovascular Sciences, School of Basic Medical Sciences, Peking University, 38 Xueyuan Rd, Beijing 100191, China.

Institute of Computational Medicine, School of Artificial Intelligence, Hebei University of Technology, Tianjin 300401, China.

出版信息

Nucleic Acids Res. 2019 Jan 8;47(D1):D1013-D1017. doi: 10.1093/nar/gky1010.


DOI:10.1093/nar/gky1010
PMID:30364956
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6323994/
Abstract

Comprehensive databases of microRNA-disease associations are continuously demanded in biomedical researches. The recently launched version 3.0 of Human MicroRNA Disease Database (HMDD v3.0) manually collects a significant number of miRNA-disease association entries from literature. Comparing to HMDD v2.0, this new version contains 2-fold more entries. Besides, the associations have been more accurately classified based on literature-derived evidence code, which results in six generalized categories (genetics, epigenetics, target, circulation, tissue and other) covering 20 types of detailed evidence code. Furthermore, we added new functionalities like network visualization on the web interface. To exemplify the utility of the database, we compared the disease spectrum width of miRNAs (DSW) and the miRNA spectrum width of human diseases (MSW) between version 3.0 and 2.0 of HMDD. HMDD is freely accessible at http://www.cuilab.cn/hmdd. With accumulating evidence of miRNA-disease associations, HMDD database will keep on growing in the future.

摘要

在生物医学研究中,人们不断需要综合的 microRNA 疾病关联数据库。最近发布的 Human MicroRNA Disease Database (HMDD v3.0) 版本从文献中手动收集了大量的 miRNA 疾病关联条目。与 HMDD v2.0 相比,新版本的条目增加了两倍。此外,这些关联根据文献来源的证据代码进行了更准确的分类,分为六个广义类别(遗传学、表观遗传学、靶标、循环、组织和其他),涵盖 20 种详细的证据代码。此外,我们还在网络界面上添加了新的功能,如网络可视化。为了举例说明数据库的实用性,我们比较了 HMDD v3.0 和 v2.0 中 miRNAs 的疾病谱宽度(DSW)和人类疾病的 miRNA 谱宽度(MSW)。HMDD 可免费访问:http://www.cuilab.cn/hmdd。随着 microRNA 疾病关联证据的不断积累,HMDD 数据库将在未来不断发展。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6d21/6323994/4f6f18c849df/gky1010fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6d21/6323994/3f4e33a07f81/gky1010fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6d21/6323994/4f6f18c849df/gky1010fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6d21/6323994/3f4e33a07f81/gky1010fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6d21/6323994/4f6f18c849df/gky1010fig2.jpg

相似文献

[1]
HMDD v3.0: a database for experimentally supported human microRNA-disease associations.

Nucleic Acids Res. 2019-1-8

[2]
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Nucleic Acids Res. 2024-1-5

[3]
HMDD v2.0: a database for experimentally supported human microRNA and disease associations.

Nucleic Acids Res. 2013-11-4

[4]
HNMDA: heterogeneous network-based miRNA-disease association prediction.

Mol Genet Genomics. 2018-4-23

[5]
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[6]
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[7]
Heterogeneous Types of miRNA-Disease Associations Stratified by Multi-Layer Network Embedding and Prediction.

Biomedicines. 2021-9-3

[8]
MSDD: a manually curated database of experimentally supported associations among miRNAs, SNPs and human diseases.

Nucleic Acids Res. 2018-1-4

[9]
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Nucleic Acids Res. 2019-1-8

[10]
miR2Disease: a manually curated database for microRNA deregulation in human disease.

Nucleic Acids Res. 2009-1

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本文引用的文献

[1]
TAM 2.0: tool for MicroRNA set analysis.

Nucleic Acids Res. 2018-7-2

[2]
A novel method for identifying potential disease-related miRNAs via a disease-miRNA-target heterogeneous network.

Mol Biosyst. 2017-10-24

[3]
Prognostic cancer gene signatures share common regulatory motifs.

Sci Rep. 2017-7-6

[4]
MicroRNA therapeutics: towards a new era for the management of cancer and other diseases.

Nat Rev Drug Discov. 2017-2-17

[5]
DisGeNET: a comprehensive platform integrating information on human disease-associated genes and variants.

Nucleic Acids Res. 2017-1-4

[6]
NTSMDA: prediction of miRNA-disease associations by integrating network topological similarity.

Mol Biosyst. 2016-6-21

[7]
The Molecular Signatures Database (MSigDB) hallmark gene set collection.

Cell Syst. 2015-12-23

[8]
miRTarBase 2016: updates to the experimentally validated miRNA-target interactions database.

Nucleic Acids Res. 2016-1-4

[9]
miRWalk2.0: a comprehensive atlas of microRNA-target interactions.

Nat Methods. 2015-8

[10]
ExcellmiRDB for translational genomics: a curated online resource for extracellular microRNAs.

OMICS. 2015-1

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