Full-length Transcriptome-based H‑InvDB Throws a New Light on Chromosome-centric Proteomics

H-Invitational Database (H-InvDB; http://hinv.jp/) is an integrated database of all human genes and transcripts that started in an international collaborative research project for establishing a functional annotation database of human full-length cDNAs. Because H-InvDB contains an abundance of infor...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Journal of proteome research 2013-01, Vol.12 (1), p.62-66
Hauptverfasser: Imanishi, Tadashi, Nagai, Yoko, Habara, Takuya, Yamasaki, Chisato, Takeda, Jun-ichi, Mikami, Sayaka, Bando, Yasuhiko, Tojo, Hiromasa, Nishimura, Toshihide
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 66
container_issue 1
container_start_page 62
container_title Journal of proteome research
container_volume 12
creator Imanishi, Tadashi
Nagai, Yoko
Habara, Takuya
Yamasaki, Chisato
Takeda, Jun-ichi
Mikami, Sayaka
Bando, Yasuhiko
Tojo, Hiromasa
Nishimura, Toshihide
description H-Invitational Database (H-InvDB; http://hinv.jp/) is an integrated database of all human genes and transcripts that started in an international collaborative research project for establishing a functional annotation database of human full-length cDNAs. Because H-InvDB contains an abundance of information for human transcripts, including not only well-characterized protein-coding transcripts but also those without experimental evidence at the protein level, this will be a useful information resource for identifying novel and uncharacterized human proteins (so-called missing proteins). By extending predicted protein data in H-InvDB, we developed the H-Inv Extended Protein Database (H-EPD; http://hinv.jp/hinv/h-epd/). From now on, we plan to carry out a database-driven proteome research that makes full use of H-EPD to promote discoveries in the current and future C-HPP. Furthermore, we will push forward with the integration of genome, transcriptome, and proteome databases using a unique tool for connecting distributed databases and would like to develop a knowledge discovery system by incorporating data mining tools.
doi_str_mv 10.1021/pr300861a
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_1273204296</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>1273204296</sourcerecordid><originalsourceid>FETCH-LOGICAL-a381t-f4fdcd01f83648168911ab7267b4f8aed5330162080bd5a7e85bb0c310b999e53</originalsourceid><addsrcrecordid>eNptkL9OwzAQhy0EoqUw8ALICxIMgbMdJ84IhdJKFTCUEUWO47SpkjjYCRUbr8Ar8iSk6p-J6U6n7366-xA6J3BDgJLb2jIAERB5gPqEM-6xCMLDXS8i1kMnzi0BCA-BHaMeZdTnjPE-eh-1ReEVupo3CzyzsnLK5nVjSu0l0ukUj3-_fybV58M9ni2sWTks8bNe4Wk-XzTYVHjYTUvj1gtKV43NFX61ptGmzJU7RUeZLJw-29YBehs9zoZjb_ryNBneTT3JBGm8zM9SlQLJBAt8QQIRESKTkAZh4mdC6rS7FUhAQUCSchlqwZMEFCOQRFGkORugq01ubc1Hq10Tl7lTuihkpU3rYkJDRsGnUdCh1xtUWeOc1Vlc27yU9ismEK9txnubHXuxjW2TUqd7cqevAy43gFQuXprWVt2X_wT9ATrHe7o</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1273204296</pqid></control><display><type>article</type><title>Full-length Transcriptome-based H‑InvDB Throws a New Light on Chromosome-centric Proteomics</title><source>ACS Publications</source><source>MEDLINE</source><creator>Imanishi, Tadashi ; Nagai, Yoko ; Habara, Takuya ; Yamasaki, Chisato ; Takeda, Jun-ichi ; Mikami, Sayaka ; Bando, Yasuhiko ; Tojo, Hiromasa ; Nishimura, Toshihide</creator><creatorcontrib>Imanishi, Tadashi ; Nagai, Yoko ; Habara, Takuya ; Yamasaki, Chisato ; Takeda, Jun-ichi ; Mikami, Sayaka ; Bando, Yasuhiko ; Tojo, Hiromasa ; Nishimura, Toshihide</creatorcontrib><description>H-Invitational Database (H-InvDB; http://hinv.jp/) is an integrated database of all human genes and transcripts that started in an international collaborative research project for establishing a functional annotation database of human full-length cDNAs. Because H-InvDB contains an abundance of information for human transcripts, including not only well-characterized protein-coding transcripts but also those without experimental evidence at the protein level, this will be a useful information resource for identifying novel and uncharacterized human proteins (so-called missing proteins). By extending predicted protein data in H-InvDB, we developed the H-Inv Extended Protein Database (H-EPD; http://hinv.jp/hinv/h-epd/). From now on, we plan to carry out a database-driven proteome research that makes full use of H-EPD to promote discoveries in the current and future C-HPP. Furthermore, we will push forward with the integration of genome, transcriptome, and proteome databases using a unique tool for connecting distributed databases and would like to develop a knowledge discovery system by incorporating data mining tools.</description><identifier>ISSN: 1535-3893</identifier><identifier>EISSN: 1535-3907</identifier><identifier>DOI: 10.1021/pr300861a</identifier><identifier>PMID: 23245335</identifier><language>eng</language><publisher>United States: American Chemical Society</publisher><subject>Databases, Factual ; DNA, Complementary - genetics ; DNA, Complementary - metabolism ; Gene Expression ; Gene Expression Profiling ; Genome, Human ; Human Genome Project ; Humans ; Mass Spectrometry ; Proteins - classification ; Proteins - genetics ; Proteins - metabolism ; Proteome</subject><ispartof>Journal of proteome research, 2013-01, Vol.12 (1), p.62-66</ispartof><rights>Copyright © 2012 American Chemical Society</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a381t-f4fdcd01f83648168911ab7267b4f8aed5330162080bd5a7e85bb0c310b999e53</citedby><cites>FETCH-LOGICAL-a381t-f4fdcd01f83648168911ab7267b4f8aed5330162080bd5a7e85bb0c310b999e53</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://pubs.acs.org/doi/pdf/10.1021/pr300861a$$EPDF$$P50$$Gacs$$H</linktopdf><linktohtml>$$Uhttps://pubs.acs.org/doi/10.1021/pr300861a$$EHTML$$P50$$Gacs$$H</linktohtml><link.rule.ids>314,776,780,2752,27053,27901,27902,56713,56763</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/23245335$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Imanishi, Tadashi</creatorcontrib><creatorcontrib>Nagai, Yoko</creatorcontrib><creatorcontrib>Habara, Takuya</creatorcontrib><creatorcontrib>Yamasaki, Chisato</creatorcontrib><creatorcontrib>Takeda, Jun-ichi</creatorcontrib><creatorcontrib>Mikami, Sayaka</creatorcontrib><creatorcontrib>Bando, Yasuhiko</creatorcontrib><creatorcontrib>Tojo, Hiromasa</creatorcontrib><creatorcontrib>Nishimura, Toshihide</creatorcontrib><title>Full-length Transcriptome-based H‑InvDB Throws a New Light on Chromosome-centric Proteomics</title><title>Journal of proteome research</title><addtitle>J. Proteome Res</addtitle><description>H-Invitational Database (H-InvDB; http://hinv.jp/) is an integrated database of all human genes and transcripts that started in an international collaborative research project for establishing a functional annotation database of human full-length cDNAs. Because H-InvDB contains an abundance of information for human transcripts, including not only well-characterized protein-coding transcripts but also those without experimental evidence at the protein level, this will be a useful information resource for identifying novel and uncharacterized human proteins (so-called missing proteins). By extending predicted protein data in H-InvDB, we developed the H-Inv Extended Protein Database (H-EPD; http://hinv.jp/hinv/h-epd/). From now on, we plan to carry out a database-driven proteome research that makes full use of H-EPD to promote discoveries in the current and future C-HPP. Furthermore, we will push forward with the integration of genome, transcriptome, and proteome databases using a unique tool for connecting distributed databases and would like to develop a knowledge discovery system by incorporating data mining tools.</description><subject>Databases, Factual</subject><subject>DNA, Complementary - genetics</subject><subject>DNA, Complementary - metabolism</subject><subject>Gene Expression</subject><subject>Gene Expression Profiling</subject><subject>Genome, Human</subject><subject>Human Genome Project</subject><subject>Humans</subject><subject>Mass Spectrometry</subject><subject>Proteins - classification</subject><subject>Proteins - genetics</subject><subject>Proteins - metabolism</subject><subject>Proteome</subject><issn>1535-3893</issn><issn>1535-3907</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNptkL9OwzAQhy0EoqUw8ALICxIMgbMdJ84IhdJKFTCUEUWO47SpkjjYCRUbr8Ar8iSk6p-J6U6n7366-xA6J3BDgJLb2jIAERB5gPqEM-6xCMLDXS8i1kMnzi0BCA-BHaMeZdTnjPE-eh-1ReEVupo3CzyzsnLK5nVjSu0l0ukUj3-_fybV58M9ni2sWTks8bNe4Wk-XzTYVHjYTUvj1gtKV43NFX61ptGmzJU7RUeZLJw-29YBehs9zoZjb_ryNBneTT3JBGm8zM9SlQLJBAt8QQIRESKTkAZh4mdC6rS7FUhAQUCSchlqwZMEFCOQRFGkORugq01ubc1Hq10Tl7lTuihkpU3rYkJDRsGnUdCh1xtUWeOc1Vlc27yU9ismEK9txnubHXuxjW2TUqd7cqevAy43gFQuXprWVt2X_wT9ATrHe7o</recordid><startdate>20130104</startdate><enddate>20130104</enddate><creator>Imanishi, Tadashi</creator><creator>Nagai, Yoko</creator><creator>Habara, Takuya</creator><creator>Yamasaki, Chisato</creator><creator>Takeda, Jun-ichi</creator><creator>Mikami, Sayaka</creator><creator>Bando, Yasuhiko</creator><creator>Tojo, Hiromasa</creator><creator>Nishimura, Toshihide</creator><general>American Chemical Society</general><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></search><sort><creationdate>20130104</creationdate><title>Full-length Transcriptome-based H‑InvDB Throws a New Light on Chromosome-centric Proteomics</title><author>Imanishi, Tadashi ; Nagai, Yoko ; Habara, Takuya ; Yamasaki, Chisato ; Takeda, Jun-ichi ; Mikami, Sayaka ; Bando, Yasuhiko ; Tojo, Hiromasa ; Nishimura, Toshihide</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a381t-f4fdcd01f83648168911ab7267b4f8aed5330162080bd5a7e85bb0c310b999e53</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Databases, Factual</topic><topic>DNA, Complementary - genetics</topic><topic>DNA, Complementary - metabolism</topic><topic>Gene Expression</topic><topic>Gene Expression Profiling</topic><topic>Genome, Human</topic><topic>Human Genome Project</topic><topic>Humans</topic><topic>Mass Spectrometry</topic><topic>Proteins - classification</topic><topic>Proteins - genetics</topic><topic>Proteins - metabolism</topic><topic>Proteome</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Imanishi, Tadashi</creatorcontrib><creatorcontrib>Nagai, Yoko</creatorcontrib><creatorcontrib>Habara, Takuya</creatorcontrib><creatorcontrib>Yamasaki, Chisato</creatorcontrib><creatorcontrib>Takeda, Jun-ichi</creatorcontrib><creatorcontrib>Mikami, Sayaka</creatorcontrib><creatorcontrib>Bando, Yasuhiko</creatorcontrib><creatorcontrib>Tojo, Hiromasa</creatorcontrib><creatorcontrib>Nishimura, Toshihide</creatorcontrib><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><jtitle>Journal of proteome research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Imanishi, Tadashi</au><au>Nagai, Yoko</au><au>Habara, Takuya</au><au>Yamasaki, Chisato</au><au>Takeda, Jun-ichi</au><au>Mikami, Sayaka</au><au>Bando, Yasuhiko</au><au>Tojo, Hiromasa</au><au>Nishimura, Toshihide</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Full-length Transcriptome-based H‑InvDB Throws a New Light on Chromosome-centric Proteomics</atitle><jtitle>Journal of proteome research</jtitle><addtitle>J. Proteome Res</addtitle><date>2013-01-04</date><risdate>2013</risdate><volume>12</volume><issue>1</issue><spage>62</spage><epage>66</epage><pages>62-66</pages><issn>1535-3893</issn><eissn>1535-3907</eissn><abstract>H-Invitational Database (H-InvDB; http://hinv.jp/) is an integrated database of all human genes and transcripts that started in an international collaborative research project for establishing a functional annotation database of human full-length cDNAs. Because H-InvDB contains an abundance of information for human transcripts, including not only well-characterized protein-coding transcripts but also those without experimental evidence at the protein level, this will be a useful information resource for identifying novel and uncharacterized human proteins (so-called missing proteins). By extending predicted protein data in H-InvDB, we developed the H-Inv Extended Protein Database (H-EPD; http://hinv.jp/hinv/h-epd/). From now on, we plan to carry out a database-driven proteome research that makes full use of H-EPD to promote discoveries in the current and future C-HPP. Furthermore, we will push forward with the integration of genome, transcriptome, and proteome databases using a unique tool for connecting distributed databases and would like to develop a knowledge discovery system by incorporating data mining tools.</abstract><cop>United States</cop><pub>American Chemical Society</pub><pmid>23245335</pmid><doi>10.1021/pr300861a</doi><tpages>5</tpages></addata></record>
fulltext fulltext
identifier ISSN: 1535-3893
ispartof Journal of proteome research, 2013-01, Vol.12 (1), p.62-66
issn 1535-3893
1535-3907
language eng
recordid cdi_proquest_miscellaneous_1273204296
source ACS Publications; MEDLINE
subjects Databases, Factual
DNA, Complementary - genetics
DNA, Complementary - metabolism
Gene Expression
Gene Expression Profiling
Genome, Human
Human Genome Project
Humans
Mass Spectrometry
Proteins - classification
Proteins - genetics
Proteins - metabolism
Proteome
title Full-length Transcriptome-based H‑InvDB Throws a New Light on Chromosome-centric Proteomics
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-03T13%3A34%3A52IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Full-length%20Transcriptome-based%20H%E2%80%91InvDB%20Throws%20a%20New%20Light%20on%20Chromosome-centric%20Proteomics&rft.jtitle=Journal%20of%20proteome%20research&rft.au=Imanishi,%20Tadashi&rft.date=2013-01-04&rft.volume=12&rft.issue=1&rft.spage=62&rft.epage=66&rft.pages=62-66&rft.issn=1535-3893&rft.eissn=1535-3907&rft_id=info:doi/10.1021/pr300861a&rft_dat=%3Cproquest_cross%3E1273204296%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1273204296&rft_id=info:pmid/23245335&rfr_iscdi=true