PhenomiR: a knowledgebase for microRNA expression in diseases and biological processes

被引：219

作者：

Ruepp, Andreas ^{[1
]}

Kowarsch, Andreas ^{[1
]}

Schmidl, Daniel ^{[1
,2
]}

Buggenthin, Felix ^{[1
]}

Brauner, Barbara ^{[1
]}

Dunger, Irmtraud ^{[1
]}

Fobo, Gisela ^{[1
]}

Frishman, Goar ^{[1
]}

Montrone, Corinna ^{[1
]}

Theis, Fabian J. ^{[1
,2
]}

机构：

[1] German Res Ctr Environm Hlth GmbH, Helmholtz Ctr Munich, Inst Bioinformat & Syst Biol MIPS, D-85764 Neuherberg, Germany

[2] Univ Technol Munich, Dept Math, D-85747 Garching, Germany

来源：

GENOME BIOLOGY | 2010年 / 11卷 / 01期

关键词：

CELL LINES; IDENTIFICATION; PROFILES; DATABASE; ENCODES; TARGETS; PROTEIN; TUMORS; RNAS;

D O I：

10.1186/gb-2010-11-1-r6

中图分类号：

Q81 [生物工程学（生物技术）]; Q93 [微生物学];

学科分类号：

071005 ; 0836 ; 090102 ; 100705 ;

摘要：

In recent years, microRNAs have been shown to play important roles in physiological as well as malignant processes. The PhenomiR database http://mips.helmholtz-muenchen.de/phenomir provides data from 542 studies that investigate deregulation of microRNA expression in diseases and biological processes as a systematic, manually curated resource. Using the PhenomiR dataset, we could demonstrate that, depending on disease type, independent information from cell culture studies contrasts with conclusions drawn from patient studies.

引用

页数：11

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