dbDEPC 3.0: the database of differentially expressed proteins in human cancer with multi-level annotation and drug indication
文献类型:期刊论文
作者 | Yang, Qingmin2,3; Chen, Lanming2; Zhao, Yong1,2; Zhang, Yuqi3; Cui, Hui3; Zhang, Menghuan3; Xie, Lu3; Zhang, Yuqi4; Lin, Yong4; Cui, Hui5,6 |
刊名 | DATABASE-THE JOURNAL OF BIOLOGICAL DATABASES AND CURATION
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出版日期 | 2018 |
卷号 | -期号:-页码:bay015 |
关键词 | Retro-transposable hotspot BMP2 Fat tail Sheep Evolution |
ISSN号 | 1758-0463 |
DOI | 10.1093/database/bay015 |
文献子类 | Article |
英文摘要 | Proteins are major effectors of biological functions, and differentially expressed proteins (DEPs) are widely reported as biomarkers in pathological mechanism, prognosis prediction as well as treatment targeting in cancer research. High-throughput technology of mass spectrometry (MS) has identified large amounts of DEPs in human cancers. Through mining published researches with detailed experiment information, dbDEPC was the first database aimed to provide a systematic resource for the storage and query of the DEPs generated by MS in cancer research. It was updated to dbDEPC 2.0 in 2012. Here, we provide another updated version of dbDEPC, with improvement of database contents and enhanced web interface. The current version of dbDEPC 3.0 contains 11 669 unique DEPs in 26 different cancer types. Multi-level annotations of DEPs have been firstly introduced this time, including cancer-related peptide amino acid variations, post-translational modifications and drug information. Moreover, these multi-level annotations can be displayed in the biological networks, which can benefit integrative analysis. Finally, an online enrichment analysis tool has been developed, to support a KEGG enrichment analysis and to browse the relationship among interested protein list and known DEPs in KEGG pathways. In summary, dbDEPC 3.0 provides a comprehensive resource for accessing integrated and highly annotated DEPs in human cancer. |
学科主题 | Mathematical & Computational Biology |
WOS关键词 | INTEGRATIVE RESOURCE ; NETWORKS |
语种 | 英语 |
WOS记录号 | WOS:000427198400001 |
出版者 | OXFORD UNIV PRESS |
版本 | 出版稿 |
源URL | [http://202.127.25.144/handle/331004/657] ![]() |
专题 | 中国科学院上海生命科学研究院营养科学研究所 |
作者单位 | 1.Minist Agr, Lab Qual & Safety Risk Assessment Aquat Prod Stor, Shanghai 201306, Peoples R China; 2.Shanghai Ocean Univ, Coll Food Sci & Technol, Shanghai 201306, Peoples R China; 3.Shanghai Acad Sci & Technol, Shanghai Ctr Bioinformat Technol, Shanghai 201203, Peoples R China; 4.Univ Shanghai Sci & Technol, Sch Med Instrument & Food Engn, Shanghai 201210, Peoples R China; 5.ShanghaiTech Univ, Sch Life Sci & Technol, Shanghai 201210, Peoples R China; 6.Univ Chinese Acad Sci, Shanghai Inst Biol Sci, Inst Nutr Sci, Shanghai 200031, Peoples R China; 7.Shanghai Engn Res Ctr Aquat Prod Proc & Preservat, Shanghai 201306, Peoples R China, |
推荐引用方式 GB/T 7714 | Yang, Qingmin,Chen, Lanming,Zhao, Yong,et al. dbDEPC 3.0: the database of differentially expressed proteins in human cancer with multi-level annotation and drug indication[J]. DATABASE-THE JOURNAL OF BIOLOGICAL DATABASES AND CURATION,2018,-(-):bay015. |
APA | Yang, Qingmin.,Chen, Lanming.,Zhao, Yong.,Zhang, Yuqi.,Cui, Hui.,...&,.(2018).dbDEPC 3.0: the database of differentially expressed proteins in human cancer with multi-level annotation and drug indication.DATABASE-THE JOURNAL OF BIOLOGICAL DATABASES AND CURATION,-(-),bay015. |
MLA | Yang, Qingmin,et al."dbDEPC 3.0: the database of differentially expressed proteins in human cancer with multi-level annotation and drug indication".DATABASE-THE JOURNAL OF BIOLOGICAL DATABASES AND CURATION -.-(2018):bay015. |
入库方式: OAI收割
来源:上海营养与健康研究所
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