Construction of an integrated human osteosarcoma database, HOsDb, based on literature mining, microarray analysis, and database retrieval

Abstract 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...

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Main Authors: Yifu Sun, Lishan Wang, Changkuan Li, Rui Gu, Weidong Zang, Wei Song, Peng Xia
Format: Article
Language:English
Published: BMC 2020-05-01
Series:BMC Cancer
Subjects:
Online Access:http://link.springer.com/article/10.1186/s12885-020-06719-2
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spelling doaj-7929163d6569492380c32f2893c536522020-11-25T03:02:48ZengBMCBMC Cancer1471-24072020-05-012011910.1186/s12885-020-06719-2Construction of an integrated human osteosarcoma database, HOsDb, based on literature mining, microarray analysis, and database retrievalYifu Sun0Lishan Wang1Changkuan Li2Rui Gu3Weidong Zang4Wei Song5Peng Xia6Department of Orthopedics, China-Japan Union Hospital of Jilin UniversityEryun (Shanghai) Information Technology Co., LtdDepartment of Orthopedics, China-Japan Union Hospital of Jilin UniversityDepartment of Orthopedics, China-Japan Union Hospital of Jilin UniversityEryun (Shanghai) Information Technology Co., LtdEryun (Shanghai) Information Technology Co., LtdDepartment of Orthopedics, The Second Hospital of Jilin UniversityAbstract 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.http://link.springer.com/article/10.1186/s12885-020-06719-2OsteosarcomaHOsDbwww.hosdatabase.com
collection DOAJ
language English
format Article
sources DOAJ
author Yifu Sun
Lishan Wang
Changkuan Li
Rui Gu
Weidong Zang
Wei Song
Peng Xia
spellingShingle Yifu Sun
Lishan Wang
Changkuan Li
Rui Gu
Weidong Zang
Wei Song
Peng Xia
Construction of an integrated human osteosarcoma database, HOsDb, based on literature mining, microarray analysis, and database retrieval
BMC Cancer
Osteosarcoma
HOsDb
www.hosdatabase.com
author_facet Yifu Sun
Lishan Wang
Changkuan Li
Rui Gu
Weidong Zang
Wei Song
Peng Xia
author_sort Yifu Sun
title 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_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_sort construction of an integrated human osteosarcoma database, hosdb, based on literature mining, microarray analysis, and database retrieval
publisher BMC
series BMC Cancer
issn 1471-2407
publishDate 2020-05-01
description Abstract 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.
topic Osteosarcoma
HOsDb
www.hosdatabase.com
url http://link.springer.com/article/10.1186/s12885-020-06719-2
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