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论文题目: dbDEMC 2.0: updated database of differentially expressed miRNAs in human cancers
英文论文题目: dbDEMC 2.0: updated database of differentially expressed miRNAs in human cancers
第一作者: Yang, Z; Wu, LC; Wang, AQ; Tang, W; Zhao, Y; Zhao, HT; Teschendorff, AE
英文第一作者: Yang, Z; Wu, LC; Wang, AQ; Tang, W; Zhao, Y; Zhao, HT; Teschendorff, AE
联系作者: Teschendorff, AE (reprint author), CAS MPG Partner Inst Computat Biol, Key Lab Computat Biol, 320 Yue Yang Rd, Shanghai 200031, Peoples R China.
英文联系作者: Teschendorff, AE (reprint author), CAS MPG Partner Inst Computat Biol, Key Lab Computat Biol, 320 Yue Yang Rd, Shanghai 200031, Peoples R China.
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发表年度: 2017
卷: 45
期: D1
页码: D812-D818
摘要: MicroRNAs (miRNAs) are often deregulated in cancer and are thought to play an important role in cancer development. Large amount of differentially expressed miRNAs have been identified in various cancers by using high-throughput methods. It is therefore quite important to make a comprehensive collection of these miRNAs and to decipher their roles in oncogenesis and tumor progression. In 2010, we presented the first release of dbDEMC, representing a database for collection of differentially expressed miRNAs in human cancers obtained from microarray data. Here we describe an update of the database. dbDEMC 2.0 documents 209 expression profiling data sets across 36 cancer types and 73 subtypes, and a total of 2224 differentially expressed miRNAs were identified. An easy-to-use web interface was constructed that allows users to make a quick search of the differentially expressed miRNAs in certain cancer types. In addition, a new function of 'meta-profiling' was added to view differential expression events according to user-defined miRNAs and cancer types. We expect this database to continue to serve as a valuable source for cancer investigation and potential clinical application related to miRNAs.
英文摘要: MicroRNAs (miRNAs) are often deregulated in cancer and are thought to play an important role in cancer development. Large amount of differentially expressed miRNAs have been identified in various cancers by using high-throughput methods. It is therefore quite important to make a comprehensive collection of these miRNAs and to decipher their roles in oncogenesis and tumor progression. In 2010, we presented the first release of dbDEMC, representing a database for collection of differentially expressed miRNAs in human cancers obtained from microarray data. Here we describe an update of the database. dbDEMC 2.0 documents 209 expression profiling data sets across 36 cancer types and 73 subtypes, and a total of 2224 differentially expressed miRNAs were identified. An easy-to-use web interface was constructed that allows users to make a quick search of the differentially expressed miRNAs in certain cancer types. In addition, a new function of 'meta-profiling' was added to view differential expression events according to user-defined miRNAs and cancer types. We expect this database to continue to serve as a valuable source for cancer investigation and potential clinical application related to miRNAs.
刊物名称: NUCLEIC ACIDS RESEARCH
英文刊物名称: NUCLEIC ACIDS RESEARCH
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学科: Biochemistry & Molecular Biology
英文学科: Biochemistry & Molecular Biology
影响因子: 10.162
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论文类别: Article
英文论文类别: Article
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