Residential College | false |
Status | 已發表Published |
FDRdb: A manually curated database of fibrotic disease-Associated RNAome and high-Throughput datasets | |
Wang, Chengyu1,2; Chen, Tingting1; Mu, Yuchen1; Liang, Xuan1; Xiong, Kai1; Ai, Liqiang1; Gu, Yunyan1; Fan, Xingxing3; Liang, Haihai4 | |
2022-11-11 | |
Source Publication | Database |
ABS Journal Level | 2 |
ISSN | 1758-0463 |
Volume | 2022 |
Abstract | Fibrosis is a common and serious disease that exists as a complicated impairment in many organs and triggers a complex cascade of responses. The deregulation of Ribonucleic Acids (RNAs) plays important roles in a variety of organ fibrosis cases. However, for fibrotic diseases, there is still a lack of an integrated platform with up-To-date information on RNA deregulation and high-Throughput data. The Fibrotic Disease-Associated RNAome database (FDRdb) (http://www.medsysbio.org/FDRdb) is a manually curated database of fibrotic disease-Associated RNAome information and high-Throughput datasets. This initial release (i) contains 1947 associations between 912 RNAs and 92 fibrotic diseases in eight species; (ii) collects information on 764 datasets of fibrotic diseases; (iii) provides a user-friendly web interface that allows users to browse, search and download the RNAome information on fibrotic diseases and high-Throughput datasets and (iv) provides tools to analyze the expression profiles of fibrotic diseases, including differential expression analysis and pathway enrichment. The FDRdb is a valuable resource for researchers to explore the mechanisms of RNA dysregulation in organ fibrosis. Database URL: http://www.medsysbio.org/FDRdb |
DOI | 10.1093/database/baac095 |
URL | View the original |
Indexed By | SCIE |
Language | 英語English |
WOS Research Area | Mathematical & Computational Biology |
WOS Subject | Mathematical & Computational Biology |
WOS ID | WOS:000881814300001 |
Publisher | OXFORD UNIV PRESS, GREAT CLARENDON ST, OXFORD OX2 6DP, ENGLAND |
Scopus ID | 2-s2.0-85141561655 |
Fulltext Access | |
Citation statistics | |
Document Type | Journal article |
Collection | University of Macau |
Corresponding Author | Gu, Yunyan; Fan, Xingxing; Liang, Haihai |
Affiliation | 1.Department of Systems Biology, College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Baojian Road, Nangang District, Heilongjiang, 150086, China 2.Key Laboratory of Combinatorial Biosynthesis and Drug Discovery, Ministry of Education, Wuhan University School of Pharmaceutical Sciences, Wuhan University, Wuhan, Donghu Road, Wuchang District, 430071, China 3.State Key Lab. of Qual. Res. in Chinese Med./Macau Inst. for Applied Research in Medicine and Health, Macau University of Science and Technology, Taipa, Avenida WaiLong, Macau (SAR), 999078, Macao 4.Department of Pharmacology (State-Province Key Laboratories of Biomedicine-Pharmaceutics of China, Key Laboratory of Cardiovascular Research, Ministry of Education, College of Pharmacy, Harbin Medical University, Heilongjiang, Baojian Road, Nangang District, Harbin, 150086, China |
Corresponding Author Affilication | University of Macau |
Recommended Citation GB/T 7714 | Wang, Chengyu,Chen, Tingting,Mu, Yuchen,et al. FDRdb: A manually curated database of fibrotic disease-Associated RNAome and high-Throughput datasets[J]. Database, 2022, 2022. |
APA | Wang, Chengyu., Chen, Tingting., Mu, Yuchen., Liang, Xuan., Xiong, Kai., Ai, Liqiang., Gu, Yunyan., Fan, Xingxing., & Liang, Haihai (2022). FDRdb: A manually curated database of fibrotic disease-Associated RNAome and high-Throughput datasets. Database, 2022. |
MLA | Wang, Chengyu,et al."FDRdb: A manually curated database of fibrotic disease-Associated RNAome and high-Throughput datasets".Database 2022(2022). |
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