HCMDB: the human cancer metastasis database
Abstract Metastasis is the main event leading to death in cancer patients. Over the past decade, high-throughput technologies have provided genome-wide view of transcriptomic changes associated with cancer metastases. Many microarray and RNA sequencing studies have addressed metastases-related expre...
Gespeichert in:
| Veröffentlicht in: | Nucleic acids research 2018-01, Vol.46 (D1), p.D950-D955 |
|---|---|
| Hauptverfasser: | , , , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | D955 |
|---|---|
| container_issue | D1 |
| container_start_page | D950 |
| container_title | Nucleic acids research |
| container_volume | 46 |
| creator | Zheng, Guantao Ma, Yijie Zou, Yang Yin, An Li, Wushuang Dong, Dong |
| description | Abstract
Metastasis is the main event leading to death in cancer patients. Over the past decade, high-throughput technologies have provided genome-wide view of transcriptomic changes associated with cancer metastases. Many microarray and RNA sequencing studies have addressed metastases-related expression patterns in various types of cancer, and the number of relevant works continues to increase rapidly. These works have characterized genes that orchestrate the metastatic phenotype of cancer cells. However, these expression data have been deposited in various repositories, and efficiently analyzing these data is still difficult because of the lack of an integrated data mining platform. To facilitate the in-depth analyses of transcriptome data on metastasis, it is quite important to make a comprehensive integration of these metastases-related expression data. Here, we presented a database, HCMDB (the human cancer metastasis database, http://hcmdb.i-sanger.com/index), which is freely accessible to the research community query cross-platform transcriptome data on metastases. HCMDB is developed and maintained as a useful resource for building the systems-biology understanding of metastasis. |
| doi_str_mv | 10.1093/nar/gkx1008 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_5753185</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><oup_id>10.1093/nar/gkx1008</oup_id><sourcerecordid>1958543387</sourcerecordid><originalsourceid>FETCH-LOGICAL-c478t-9362b8d15bb71ba0e59193070bdedf09b3f84f72a305c0ca1a953e5c6707af3</originalsourceid><addsrcrecordid>eNp9kM9LwzAUx4Mobk5P3qUnEUbdS9MsiQdB548JEw96Dy9pulXXdiat6H9vZVP0Ijx4h_fh-758CDmkcEpBsVGFfjR_eacAcov0KRsncarGyTbpAwMeU0hlj-yF8AxAU8rTXdJLFEiZct4nw-nk_uryLGoWLlq0JVaRxco6H5WuwdBNEaIMGzQY3D7ZyXEZ3MFmD8jjzfXTZBrPHm7vJhez2KZCNrHqGhiZUW6MoAbBcUUVAwEmc1kOyrBcprlIsGtnwSJFxZnjdixAYM4G5HydumpN6TLrqsbjUq98UaL_0DUW-u-lKhZ6Xr9pLjijkncBJ5sAX7-2LjS6LIJ1yyVWrm6DpopLnjImRYcO16j1dQje5T9vKOgvubqTqzdyO_rod7Mf9ttmBxyvgbpd_Zv0Cce_gpI</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1958543387</pqid></control><display><type>article</type><title>HCMDB: the human cancer metastasis database</title><source>MEDLINE</source><source>DOAJ Directory of Open Access Journals</source><source>Oxford Journals Open Access Collection</source><source>PubMed Central</source><source>Free Full-Text Journals in Chemistry</source><creator>Zheng, Guantao ; Ma, Yijie ; Zou, Yang ; Yin, An ; Li, Wushuang ; Dong, Dong</creator><creatorcontrib>Zheng, Guantao ; Ma, Yijie ; Zou, Yang ; Yin, An ; Li, Wushuang ; Dong, Dong</creatorcontrib><description>Abstract
Metastasis is the main event leading to death in cancer patients. Over the past decade, high-throughput technologies have provided genome-wide view of transcriptomic changes associated with cancer metastases. Many microarray and RNA sequencing studies have addressed metastases-related expression patterns in various types of cancer, and the number of relevant works continues to increase rapidly. These works have characterized genes that orchestrate the metastatic phenotype of cancer cells. However, these expression data have been deposited in various repositories, and efficiently analyzing these data is still difficult because of the lack of an integrated data mining platform. To facilitate the in-depth analyses of transcriptome data on metastasis, it is quite important to make a comprehensive integration of these metastases-related expression data. Here, we presented a database, HCMDB (the human cancer metastasis database, http://hcmdb.i-sanger.com/index), which is freely accessible to the research community query cross-platform transcriptome data on metastases. HCMDB is developed and maintained as a useful resource for building the systems-biology understanding of metastasis.</description><identifier>ISSN: 0305-1048</identifier><identifier>EISSN: 1362-4962</identifier><identifier>DOI: 10.1093/nar/gkx1008</identifier><identifier>PMID: 29088455</identifier><language>eng</language><publisher>England: Oxford University Press</publisher><subject>Data Collection ; Data Display ; Database Issue ; Databases, Genetic ; Datasets as Topic ; Gene Expression Regulation, Neoplastic ; Humans ; Neoplasm Metastasis - genetics ; Neoplasm Proteins - biosynthesis ; Neoplasm Proteins - genetics ; Neoplasm Proteins - physiology ; Oligonucleotide Array Sequence Analysis ; Phenotype ; RNA, Messenger - biosynthesis ; RNA, Messenger - genetics ; RNA, Neoplasm - biosynthesis ; RNA, Neoplasm - genetics ; Sequence Analysis, RNA ; Transcriptome ; User-Computer Interface</subject><ispartof>Nucleic acids research, 2018-01, Vol.46 (D1), p.D950-D955</ispartof><rights>The Author(s) 2017. Published by Oxford University Press on behalf of Nucleic Acids Research. 2018</rights><rights>The Author(s) 2017. Published by Oxford University Press on behalf of Nucleic Acids Research.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c478t-9362b8d15bb71ba0e59193070bdedf09b3f84f72a305c0ca1a953e5c6707af3</citedby><cites>FETCH-LOGICAL-c478t-9362b8d15bb71ba0e59193070bdedf09b3f84f72a305c0ca1a953e5c6707af3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC5753185/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC5753185/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,864,885,1604,27924,27925,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/29088455$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Zheng, Guantao</creatorcontrib><creatorcontrib>Ma, Yijie</creatorcontrib><creatorcontrib>Zou, Yang</creatorcontrib><creatorcontrib>Yin, An</creatorcontrib><creatorcontrib>Li, Wushuang</creatorcontrib><creatorcontrib>Dong, Dong</creatorcontrib><title>HCMDB: the human cancer metastasis database</title><title>Nucleic acids research</title><addtitle>Nucleic Acids Res</addtitle><description>Abstract
Metastasis is the main event leading to death in cancer patients. Over the past decade, high-throughput technologies have provided genome-wide view of transcriptomic changes associated with cancer metastases. Many microarray and RNA sequencing studies have addressed metastases-related expression patterns in various types of cancer, and the number of relevant works continues to increase rapidly. These works have characterized genes that orchestrate the metastatic phenotype of cancer cells. However, these expression data have been deposited in various repositories, and efficiently analyzing these data is still difficult because of the lack of an integrated data mining platform. To facilitate the in-depth analyses of transcriptome data on metastasis, it is quite important to make a comprehensive integration of these metastases-related expression data. Here, we presented a database, HCMDB (the human cancer metastasis database, http://hcmdb.i-sanger.com/index), which is freely accessible to the research community query cross-platform transcriptome data on metastases. HCMDB is developed and maintained as a useful resource for building the systems-biology understanding of metastasis.</description><subject>Data Collection</subject><subject>Data Display</subject><subject>Database Issue</subject><subject>Databases, Genetic</subject><subject>Datasets as Topic</subject><subject>Gene Expression Regulation, Neoplastic</subject><subject>Humans</subject><subject>Neoplasm Metastasis - genetics</subject><subject>Neoplasm Proteins - biosynthesis</subject><subject>Neoplasm Proteins - genetics</subject><subject>Neoplasm Proteins - physiology</subject><subject>Oligonucleotide Array Sequence Analysis</subject><subject>Phenotype</subject><subject>RNA, Messenger - biosynthesis</subject><subject>RNA, Messenger - genetics</subject><subject>RNA, Neoplasm - biosynthesis</subject><subject>RNA, Neoplasm - genetics</subject><subject>Sequence Analysis, RNA</subject><subject>Transcriptome</subject><subject>User-Computer Interface</subject><issn>0305-1048</issn><issn>1362-4962</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>TOX</sourceid><sourceid>EIF</sourceid><recordid>eNp9kM9LwzAUx4Mobk5P3qUnEUbdS9MsiQdB548JEw96Dy9pulXXdiat6H9vZVP0Ijx4h_fh-758CDmkcEpBsVGFfjR_eacAcov0KRsncarGyTbpAwMeU0hlj-yF8AxAU8rTXdJLFEiZct4nw-nk_uryLGoWLlq0JVaRxco6H5WuwdBNEaIMGzQY3D7ZyXEZ3MFmD8jjzfXTZBrPHm7vJhez2KZCNrHqGhiZUW6MoAbBcUUVAwEmc1kOyrBcprlIsGtnwSJFxZnjdixAYM4G5HydumpN6TLrqsbjUq98UaL_0DUW-u-lKhZ6Xr9pLjijkncBJ5sAX7-2LjS6LIJ1yyVWrm6DpopLnjImRYcO16j1dQje5T9vKOgvubqTqzdyO_rod7Mf9ttmBxyvgbpd_Zv0Cce_gpI</recordid><startdate>20180104</startdate><enddate>20180104</enddate><creator>Zheng, Guantao</creator><creator>Ma, Yijie</creator><creator>Zou, Yang</creator><creator>Yin, An</creator><creator>Li, Wushuang</creator><creator>Dong, Dong</creator><general>Oxford University Press</general><scope>TOX</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20180104</creationdate><title>HCMDB: the human cancer metastasis database</title><author>Zheng, Guantao ; Ma, Yijie ; Zou, Yang ; Yin, An ; Li, Wushuang ; Dong, Dong</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c478t-9362b8d15bb71ba0e59193070bdedf09b3f84f72a305c0ca1a953e5c6707af3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Data Collection</topic><topic>Data Display</topic><topic>Database Issue</topic><topic>Databases, Genetic</topic><topic>Datasets as Topic</topic><topic>Gene Expression Regulation, Neoplastic</topic><topic>Humans</topic><topic>Neoplasm Metastasis - genetics</topic><topic>Neoplasm Proteins - biosynthesis</topic><topic>Neoplasm Proteins - genetics</topic><topic>Neoplasm Proteins - physiology</topic><topic>Oligonucleotide Array Sequence Analysis</topic><topic>Phenotype</topic><topic>RNA, Messenger - biosynthesis</topic><topic>RNA, Messenger - genetics</topic><topic>RNA, Neoplasm - biosynthesis</topic><topic>RNA, Neoplasm - genetics</topic><topic>Sequence Analysis, RNA</topic><topic>Transcriptome</topic><topic>User-Computer Interface</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zheng, Guantao</creatorcontrib><creatorcontrib>Ma, Yijie</creatorcontrib><creatorcontrib>Zou, Yang</creatorcontrib><creatorcontrib>Yin, An</creatorcontrib><creatorcontrib>Li, Wushuang</creatorcontrib><creatorcontrib>Dong, Dong</creatorcontrib><collection>Oxford Journals Open Access Collection</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Nucleic acids research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zheng, Guantao</au><au>Ma, Yijie</au><au>Zou, Yang</au><au>Yin, An</au><au>Li, Wushuang</au><au>Dong, Dong</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>HCMDB: the human cancer metastasis database</atitle><jtitle>Nucleic acids research</jtitle><addtitle>Nucleic Acids Res</addtitle><date>2018-01-04</date><risdate>2018</risdate><volume>46</volume><issue>D1</issue><spage>D950</spage><epage>D955</epage><pages>D950-D955</pages><issn>0305-1048</issn><eissn>1362-4962</eissn><abstract>Abstract
Metastasis is the main event leading to death in cancer patients. Over the past decade, high-throughput technologies have provided genome-wide view of transcriptomic changes associated with cancer metastases. Many microarray and RNA sequencing studies have addressed metastases-related expression patterns in various types of cancer, and the number of relevant works continues to increase rapidly. These works have characterized genes that orchestrate the metastatic phenotype of cancer cells. However, these expression data have been deposited in various repositories, and efficiently analyzing these data is still difficult because of the lack of an integrated data mining platform. To facilitate the in-depth analyses of transcriptome data on metastasis, it is quite important to make a comprehensive integration of these metastases-related expression data. Here, we presented a database, HCMDB (the human cancer metastasis database, http://hcmdb.i-sanger.com/index), which is freely accessible to the research community query cross-platform transcriptome data on metastases. HCMDB is developed and maintained as a useful resource for building the systems-biology understanding of metastasis.</abstract><cop>England</cop><pub>Oxford University Press</pub><pmid>29088455</pmid><doi>10.1093/nar/gkx1008</doi><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0305-1048 |
| ispartof | Nucleic acids research, 2018-01, Vol.46 (D1), p.D950-D955 |
| issn | 0305-1048 1362-4962 |
| language | eng |
| recordid | cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_5753185 |
| source | MEDLINE; DOAJ Directory of Open Access Journals; Oxford Journals Open Access Collection; PubMed Central; Free Full-Text Journals in Chemistry |
| subjects | Data Collection Data Display Database Issue Databases, Genetic Datasets as Topic Gene Expression Regulation, Neoplastic Humans Neoplasm Metastasis - genetics Neoplasm Proteins - biosynthesis Neoplasm Proteins - genetics Neoplasm Proteins - physiology Oligonucleotide Array Sequence Analysis Phenotype RNA, Messenger - biosynthesis RNA, Messenger - genetics RNA, Neoplasm - biosynthesis RNA, Neoplasm - genetics Sequence Analysis, RNA Transcriptome User-Computer Interface |
| title | HCMDB: the human cancer metastasis database |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-05T21%3A03%3A49IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_pubme&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=HCMDB:%20the%20human%20cancer%20metastasis%20database&rft.jtitle=Nucleic%20acids%20research&rft.au=Zheng,%20Guantao&rft.date=2018-01-04&rft.volume=46&rft.issue=D1&rft.spage=D950&rft.epage=D955&rft.pages=D950-D955&rft.issn=0305-1048&rft.eissn=1362-4962&rft_id=info:doi/10.1093/nar/gkx1008&rft_dat=%3Cproquest_pubme%3E1958543387%3C/proquest_pubme%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1958543387&rft_id=info:pmid/29088455&rft_oup_id=10.1093/nar/gkx1008&rfr_iscdi=true |