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dbDEMC: a database of differentially expressed miRNAs in human cancers

BACKGROUND: MicroRNAs (miRNAs) are small noncoding RNAs about 22 nt long that negatively regulate gene expression at the post-transcriptional level. Their key effects on various biological processes, e.g., embryonic development, cell division, differentiation and apoptosis, are widely recognized. Ev...

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Autores principales: Yang, Zhen, Ren, Fei, Liu, Changning, He, Shunmin, Sun, Gang, Gao, Qian, Yao, Lei, Zhang, Yangde, Miao, Ruoyu, Cao, Ying, Zhao, Yi, Zhong, Yang, Zhao, Haitao
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3005935/
https://www.ncbi.nlm.nih.gov/pubmed/21143814
http://dx.doi.org/10.1186/1471-2164-11-S4-S5
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author Yang, Zhen
Ren, Fei
Liu, Changning
He, Shunmin
Sun, Gang
Gao, Qian
Yao, Lei
Zhang, Yangde
Miao, Ruoyu
Cao, Ying
Zhao, Yi
Zhong, Yang
Zhao, Haitao
author_facet Yang, Zhen
Ren, Fei
Liu, Changning
He, Shunmin
Sun, Gang
Gao, Qian
Yao, Lei
Zhang, Yangde
Miao, Ruoyu
Cao, Ying
Zhao, Yi
Zhong, Yang
Zhao, Haitao
author_sort Yang, Zhen
collection PubMed
description BACKGROUND: MicroRNAs (miRNAs) are small noncoding RNAs about 22 nt long that negatively regulate gene expression at the post-transcriptional level. Their key effects on various biological processes, e.g., embryonic development, cell division, differentiation and apoptosis, are widely recognized. Evidence suggests that aberrant expression of miRNAs may contribute to many types of human diseases, including cancer. Here we present a database of differentially expressed miRNAs in human cancers (dbDEMC), to explore aberrantly expressed miRNAs among different cancers. RESULTS: We collected the miRNA expression profiles of 14 cancer types, curated from 48 microarray data sets in peer-reviewed publications. The Significance Analysis of Microarrays method was used to retrieve the miRNAs that have dramatically different expression levels in cancers when compared to normal tissues. This database provides statistical results for differentially expressed miRNAs in each data set. A total of 607 differentially expressed miRNAs (590 mature miRNAs and 17 precursor miRNAs) were obtained in the current version of dbDEMC. Furthermore, low-throughput data from the same literature were also included in the database for validation. An easy-to-use web interface was designed for users. Annotations about each miRNA can be queried through miRNA ID or miRBase accession numbers, or can be browsed by different cancer types. CONCLUSIONS: This database is expected to be a valuable source for identification of cancer-related miRNAs, thereby helping with the improvement of classification, diagnosis and treatment of human cancers. All the information is freely available through http://159.226.118.44/dbDEMC/index.html.
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spelling pubmed-30059352010-12-22 dbDEMC: a database of differentially expressed miRNAs in human cancers Yang, Zhen Ren, Fei Liu, Changning He, Shunmin Sun, Gang Gao, Qian Yao, Lei Zhang, Yangde Miao, Ruoyu Cao, Ying Zhao, Yi Zhong, Yang Zhao, Haitao BMC Genomics Proceedings BACKGROUND: MicroRNAs (miRNAs) are small noncoding RNAs about 22 nt long that negatively regulate gene expression at the post-transcriptional level. Their key effects on various biological processes, e.g., embryonic development, cell division, differentiation and apoptosis, are widely recognized. Evidence suggests that aberrant expression of miRNAs may contribute to many types of human diseases, including cancer. Here we present a database of differentially expressed miRNAs in human cancers (dbDEMC), to explore aberrantly expressed miRNAs among different cancers. RESULTS: We collected the miRNA expression profiles of 14 cancer types, curated from 48 microarray data sets in peer-reviewed publications. The Significance Analysis of Microarrays method was used to retrieve the miRNAs that have dramatically different expression levels in cancers when compared to normal tissues. This database provides statistical results for differentially expressed miRNAs in each data set. A total of 607 differentially expressed miRNAs (590 mature miRNAs and 17 precursor miRNAs) were obtained in the current version of dbDEMC. Furthermore, low-throughput data from the same literature were also included in the database for validation. An easy-to-use web interface was designed for users. Annotations about each miRNA can be queried through miRNA ID or miRBase accession numbers, or can be browsed by different cancer types. CONCLUSIONS: This database is expected to be a valuable source for identification of cancer-related miRNAs, thereby helping with the improvement of classification, diagnosis and treatment of human cancers. All the information is freely available through http://159.226.118.44/dbDEMC/index.html. BioMed Central 2010-12-02 /pmc/articles/PMC3005935/ /pubmed/21143814 http://dx.doi.org/10.1186/1471-2164-11-S4-S5 Text en Copyright ©2010 Yang et al; licensee BioMed Central Ltd. This is an open access article distributed under the terms of the Creative Commons Attribution License (<url>http://creativecommons.org/licenses/by/2.0</url>), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Proceedings
Yang, Zhen
Ren, Fei
Liu, Changning
He, Shunmin
Sun, Gang
Gao, Qian
Yao, Lei
Zhang, Yangde
Miao, Ruoyu
Cao, Ying
Zhao, Yi
Zhong, Yang
Zhao, Haitao
dbDEMC: a database of differentially expressed miRNAs in human cancers
title dbDEMC: a database of differentially expressed miRNAs in human cancers
title_full dbDEMC: a database of differentially expressed miRNAs in human cancers
title_fullStr dbDEMC: a database of differentially expressed miRNAs in human cancers
title_full_unstemmed dbDEMC: a database of differentially expressed miRNAs in human cancers
title_short dbDEMC: a database of differentially expressed miRNAs in human cancers
title_sort dbdemc: a database of differentially expressed mirnas in human cancers
topic Proceedings
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3005935/
https://www.ncbi.nlm.nih.gov/pubmed/21143814
http://dx.doi.org/10.1186/1471-2164-11-S4-S5
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