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Construction of an integrated human osteosarcoma database, HOsDb, based on literature mining, microarray analysis, and database retrieval
BACKGROUND: Osteosarcoma (OS) is the most frequent primary malignancy of bone with a high incidence in adolescence. This study aimed to construct a publicly available, integrated database of human OS, named HOsDb. METHODS: Microarray data, current databases, and a literature search of PubMed were us...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7204058/ https://www.ncbi.nlm.nih.gov/pubmed/32375685 http://dx.doi.org/10.1186/s12885-020-06719-2 |
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author | Sun, Yifu Wang, Lishan Li, Changkuan Gu, Rui Zang, Weidong Song, Wei Xia, Peng |
author_facet | Sun, Yifu Wang, Lishan Li, Changkuan Gu, Rui Zang, Weidong Song, Wei Xia, Peng |
author_sort | Sun, Yifu |
collection | PubMed |
description | BACKGROUND: Osteosarcoma (OS) is the most frequent primary malignancy of bone with a high incidence in adolescence. This study aimed to construct a publicly available, integrated database of human OS, named HOsDb. METHODS: Microarray data, current databases, and a literature search of PubMed were used to extract information relevant to human OS-related genes and their transcription factors (TFs) and single nucleotide polymorphisms (SNPs), as well as methylation sites and microRNAs (miRNAs). This information was collated for constructing the HOsDb. RESULTS: In total, we identified 7191 OS tumor-related genes, 763 OS metastasis-related genes, and 1589 OS drug-related genes, corresponding to 190,362, 21,131, and 41,135 gene-TF pairs, respectively, 3,749,490, 358,361, and 767,674 gene-miRNA pairs, respectively; and 28,386, 2532, and 3943 SNPs, respectively. Additionally, 240 OS-related miRNAs, 1695 genes with copy number variations in OS, and 18 genes with methylation sites in OS were identified. These data were collated to construct the HOsDb, which is available at www.hosdatabase.com. Users can search OS-related molecules using this database. CONCLUSION: The HOsDb provides a platform that is comprehensive, quick, and easily accessible, and it will enrich our current knowledge of OS. |
format | Online Article Text |
id | pubmed-7204058 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-72040582020-05-12 Construction of an integrated human osteosarcoma database, HOsDb, based on literature mining, microarray analysis, and database retrieval Sun, Yifu Wang, Lishan Li, Changkuan Gu, Rui Zang, Weidong Song, Wei Xia, Peng BMC Cancer Database BACKGROUND: Osteosarcoma (OS) is the most frequent primary malignancy of bone with a high incidence in adolescence. This study aimed to construct a publicly available, integrated database of human OS, named HOsDb. METHODS: Microarray data, current databases, and a literature search of PubMed were used to extract information relevant to human OS-related genes and their transcription factors (TFs) and single nucleotide polymorphisms (SNPs), as well as methylation sites and microRNAs (miRNAs). This information was collated for constructing the HOsDb. RESULTS: In total, we identified 7191 OS tumor-related genes, 763 OS metastasis-related genes, and 1589 OS drug-related genes, corresponding to 190,362, 21,131, and 41,135 gene-TF pairs, respectively, 3,749,490, 358,361, and 767,674 gene-miRNA pairs, respectively; and 28,386, 2532, and 3943 SNPs, respectively. Additionally, 240 OS-related miRNAs, 1695 genes with copy number variations in OS, and 18 genes with methylation sites in OS were identified. These data were collated to construct the HOsDb, which is available at www.hosdatabase.com. Users can search OS-related molecules using this database. CONCLUSION: The HOsDb provides a platform that is comprehensive, quick, and easily accessible, and it will enrich our current knowledge of OS. BioMed Central 2020-05-06 /pmc/articles/PMC7204058/ /pubmed/32375685 http://dx.doi.org/10.1186/s12885-020-06719-2 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Database Sun, Yifu Wang, Lishan Li, Changkuan Gu, Rui Zang, Weidong Song, Wei Xia, Peng Construction of an integrated human osteosarcoma database, HOsDb, based on literature mining, microarray analysis, and database retrieval |
title | Construction of an integrated human osteosarcoma database, HOsDb, based on literature mining, microarray analysis, and database retrieval |
title_full | Construction of an integrated human osteosarcoma database, HOsDb, based on literature mining, microarray analysis, and database retrieval |
title_fullStr | Construction of an integrated human osteosarcoma database, HOsDb, based on literature mining, microarray analysis, and database retrieval |
title_full_unstemmed | Construction of an integrated human osteosarcoma database, HOsDb, based on literature mining, microarray analysis, and database retrieval |
title_short | Construction of an integrated human osteosarcoma database, HOsDb, based on literature mining, microarray analysis, and database retrieval |
title_sort | construction of an integrated human osteosarcoma database, hosdb, based on literature mining, microarray analysis, and database retrieval |
topic | Database |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7204058/ https://www.ncbi.nlm.nih.gov/pubmed/32375685 http://dx.doi.org/10.1186/s12885-020-06719-2 |
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