Tissue-specific transcriptome sequencing analysis expands the non-human primate reference transcriptome resource (NHPRTR)
The non-human primate reference transcriptome resource (NHPRTR, available online at http://nhprtr.org/) aims to generate comprehensive RNA-seq data from a wide variety of non-human primates (NHPs), from lemurs to hominids. In the 2012 Phase I of the NHPRTR project, 19 billion fragments or 3.8 teraba...
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Veröffentlicht in: | Nucleic acids research 2015-01, Vol.43 (Database issue), p.D737-D742 |
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creator | Peng, Xinxia Thierry-Mieg, Jean Thierry-Mieg, Danielle Nishida, Andrew Pipes, Lenore Bozinoski, Marjan Thomas, Matthew J Kelly, Sara Weiss, Jeffrey M Raveendran, Muthuswamy Muzny, Donna Gibbs, Richard A Rogers, Jeffrey Schroth, Gary P Katze, Michael G Mason, Christopher E |
description | The non-human primate reference transcriptome resource (NHPRTR, available online at http://nhprtr.org/) aims to generate comprehensive RNA-seq data from a wide variety of non-human primates (NHPs), from lemurs to hominids. In the 2012 Phase I of the NHPRTR project, 19 billion fragments or 3.8 terabases of transcriptome sequences were collected from pools of ∼ 20 tissues in 15 species and subspecies. Here we describe a major expansion of NHPRTR by adding 10.1 billion fragments of tissue-specific RNA-seq data. For this effort, we selected 11 of the original 15 NHP species and subspecies and constructed total RNA libraries for the same ∼ 15 tissues in each. The sequence quality is such that 88% of the reads align to human reference sequences, allowing us to compute the full list of expression abundance across all tissues for each species, using the reads mapped to human genes. This update also includes improved transcript annotations derived from RNA-seq data for rhesus and cynomolgus macaques, two of the most commonly used NHP models and additional RNA-seq data compiled from related projects. Together, these comprehensive reference transcriptomes from multiple primates serve as a valuable community resource for genome annotation, gene dynamics and comparative functional analysis. |
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In the 2012 Phase I of the NHPRTR project, 19 billion fragments or 3.8 terabases of transcriptome sequences were collected from pools of ∼ 20 tissues in 15 species and subspecies. Here we describe a major expansion of NHPRTR by adding 10.1 billion fragments of tissue-specific RNA-seq data. For this effort, we selected 11 of the original 15 NHP species and subspecies and constructed total RNA libraries for the same ∼ 15 tissues in each. The sequence quality is such that 88% of the reads align to human reference sequences, allowing us to compute the full list of expression abundance across all tissues for each species, using the reads mapped to human genes. This update also includes improved transcript annotations derived from RNA-seq data for rhesus and cynomolgus macaques, two of the most commonly used NHP models and additional RNA-seq data compiled from related projects. Together, these comprehensive reference transcriptomes from multiple primates serve as a valuable community resource for genome annotation, gene dynamics and comparative functional analysis.</description><identifier>ISSN: 0305-1048</identifier><identifier>EISSN: 1362-4962</identifier><identifier>DOI: 10.1093/nar/gku1110</identifier><identifier>PMID: 25392405</identifier><language>eng</language><publisher>England: Oxford University Press</publisher><subject>Animals ; Database Issue ; Databases, Genetic ; Gene Expression Profiling ; Internet ; Macaca ; Molecular Sequence Annotation ; Organ Specificity ; Primates - genetics ; Reference Standards ; Sequence Alignment - standards ; Sequence Analysis, RNA</subject><ispartof>Nucleic acids research, 2015-01, Vol.43 (Database issue), p.D737-D742</ispartof><rights>The Author(s) 2014. Published by Oxford University Press on behalf of Nucleic Acids Research.</rights><rights>The Author(s) 2014. Published by Oxford University Press on behalf of Nucleic Acids Research. 2015</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c517t-a26019048b711e9beeadc1d51cb933e1e7cd170313d105748d7cea6d897279f3</citedby><cites>FETCH-LOGICAL-c517t-a26019048b711e9beeadc1d51cb933e1e7cd170313d105748d7cea6d897279f3</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/PMC4383927/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4383927/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,860,881,27901,27902,53766,53768</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/25392405$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Peng, Xinxia</creatorcontrib><creatorcontrib>Thierry-Mieg, Jean</creatorcontrib><creatorcontrib>Thierry-Mieg, Danielle</creatorcontrib><creatorcontrib>Nishida, Andrew</creatorcontrib><creatorcontrib>Pipes, Lenore</creatorcontrib><creatorcontrib>Bozinoski, Marjan</creatorcontrib><creatorcontrib>Thomas, Matthew J</creatorcontrib><creatorcontrib>Kelly, Sara</creatorcontrib><creatorcontrib>Weiss, Jeffrey M</creatorcontrib><creatorcontrib>Raveendran, Muthuswamy</creatorcontrib><creatorcontrib>Muzny, Donna</creatorcontrib><creatorcontrib>Gibbs, Richard A</creatorcontrib><creatorcontrib>Rogers, Jeffrey</creatorcontrib><creatorcontrib>Schroth, Gary P</creatorcontrib><creatorcontrib>Katze, Michael G</creatorcontrib><creatorcontrib>Mason, Christopher E</creatorcontrib><title>Tissue-specific transcriptome sequencing analysis expands the non-human primate reference transcriptome resource (NHPRTR)</title><title>Nucleic acids research</title><addtitle>Nucleic Acids Res</addtitle><description>The non-human primate reference transcriptome resource (NHPRTR, available online at http://nhprtr.org/) aims to generate comprehensive RNA-seq data from a wide variety of non-human primates (NHPs), from lemurs to hominids. In the 2012 Phase I of the NHPRTR project, 19 billion fragments or 3.8 terabases of transcriptome sequences were collected from pools of ∼ 20 tissues in 15 species and subspecies. Here we describe a major expansion of NHPRTR by adding 10.1 billion fragments of tissue-specific RNA-seq data. For this effort, we selected 11 of the original 15 NHP species and subspecies and constructed total RNA libraries for the same ∼ 15 tissues in each. The sequence quality is such that 88% of the reads align to human reference sequences, allowing us to compute the full list of expression abundance across all tissues for each species, using the reads mapped to human genes. This update also includes improved transcript annotations derived from RNA-seq data for rhesus and cynomolgus macaques, two of the most commonly used NHP models and additional RNA-seq data compiled from related projects. Together, these comprehensive reference transcriptomes from multiple primates serve as a valuable community resource for genome annotation, gene dynamics and comparative functional analysis.</description><subject>Animals</subject><subject>Database Issue</subject><subject>Databases, Genetic</subject><subject>Gene Expression Profiling</subject><subject>Internet</subject><subject>Macaca</subject><subject>Molecular Sequence Annotation</subject><subject>Organ Specificity</subject><subject>Primates - genetics</subject><subject>Reference Standards</subject><subject>Sequence Alignment - standards</subject><subject>Sequence Analysis, RNA</subject><issn>0305-1048</issn><issn>1362-4962</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNpdkd1LwzAUxYMoOj-efJc-KlLNbdpmfRFk-AWiMvYesvRui7ZpzW3F_fdGN0V9Ctz8cu7JOYwdAj8DXohzp_35_KUHAL7BBiDyJE6LPNlkAy54FgNPhztsl-iZc0ghS7fZTpKJIkl5NmDLiSXqMaYWjZ1ZE3VeOzLetl1TY0T42qMz1s0j7XS1JEsRvrfalRR1C4xc4-JFX2sXtd7WusPI4wx9eIL_lDxS0_swPn64fRpPxif7bGumK8KD9bnHJtdXk9FtfP94cze6vI9NBrKLdZJzKMIfphIAiymiLg2UGZhpIQQCSlOC5AJECTyT6bCUBnVeDguZyGIm9tjFSrbtpzWWBl3wVakvu36pGm3V3xtnF2revKlUDENIMggcrwV8E8KgTtWWDFaVdtj0pCDPkoDmkAf0dIUa3xCFJH7WAFefXanQlVp3Feij385-2O9yxAcen5SS</recordid><startdate>20150128</startdate><enddate>20150128</enddate><creator>Peng, Xinxia</creator><creator>Thierry-Mieg, Jean</creator><creator>Thierry-Mieg, Danielle</creator><creator>Nishida, Andrew</creator><creator>Pipes, Lenore</creator><creator>Bozinoski, Marjan</creator><creator>Thomas, Matthew J</creator><creator>Kelly, Sara</creator><creator>Weiss, Jeffrey M</creator><creator>Raveendran, Muthuswamy</creator><creator>Muzny, Donna</creator><creator>Gibbs, Richard A</creator><creator>Rogers, Jeffrey</creator><creator>Schroth, Gary P</creator><creator>Katze, Michael G</creator><creator>Mason, Christopher E</creator><general>Oxford University Press</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><scope>5PM</scope></search><sort><creationdate>20150128</creationdate><title>Tissue-specific transcriptome sequencing analysis expands the non-human primate reference transcriptome resource (NHPRTR)</title><author>Peng, Xinxia ; Thierry-Mieg, Jean ; Thierry-Mieg, Danielle ; Nishida, Andrew ; Pipes, Lenore ; Bozinoski, Marjan ; Thomas, Matthew J ; Kelly, Sara ; Weiss, Jeffrey M ; Raveendran, Muthuswamy ; Muzny, Donna ; Gibbs, Richard A ; Rogers, Jeffrey ; Schroth, Gary P ; Katze, Michael G ; Mason, Christopher E</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c517t-a26019048b711e9beeadc1d51cb933e1e7cd170313d105748d7cea6d897279f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>Animals</topic><topic>Database Issue</topic><topic>Databases, Genetic</topic><topic>Gene Expression Profiling</topic><topic>Internet</topic><topic>Macaca</topic><topic>Molecular Sequence Annotation</topic><topic>Organ Specificity</topic><topic>Primates - genetics</topic><topic>Reference Standards</topic><topic>Sequence Alignment - standards</topic><topic>Sequence Analysis, RNA</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Peng, Xinxia</creatorcontrib><creatorcontrib>Thierry-Mieg, Jean</creatorcontrib><creatorcontrib>Thierry-Mieg, Danielle</creatorcontrib><creatorcontrib>Nishida, Andrew</creatorcontrib><creatorcontrib>Pipes, Lenore</creatorcontrib><creatorcontrib>Bozinoski, Marjan</creatorcontrib><creatorcontrib>Thomas, Matthew J</creatorcontrib><creatorcontrib>Kelly, Sara</creatorcontrib><creatorcontrib>Weiss, Jeffrey M</creatorcontrib><creatorcontrib>Raveendran, Muthuswamy</creatorcontrib><creatorcontrib>Muzny, Donna</creatorcontrib><creatorcontrib>Gibbs, Richard A</creatorcontrib><creatorcontrib>Rogers, Jeffrey</creatorcontrib><creatorcontrib>Schroth, Gary P</creatorcontrib><creatorcontrib>Katze, Michael G</creatorcontrib><creatorcontrib>Mason, Christopher E</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><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>Peng, Xinxia</au><au>Thierry-Mieg, Jean</au><au>Thierry-Mieg, Danielle</au><au>Nishida, Andrew</au><au>Pipes, Lenore</au><au>Bozinoski, Marjan</au><au>Thomas, Matthew J</au><au>Kelly, Sara</au><au>Weiss, Jeffrey M</au><au>Raveendran, Muthuswamy</au><au>Muzny, Donna</au><au>Gibbs, Richard A</au><au>Rogers, Jeffrey</au><au>Schroth, Gary P</au><au>Katze, Michael G</au><au>Mason, Christopher E</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Tissue-specific transcriptome sequencing analysis expands the non-human primate reference transcriptome resource (NHPRTR)</atitle><jtitle>Nucleic acids research</jtitle><addtitle>Nucleic Acids Res</addtitle><date>2015-01-28</date><risdate>2015</risdate><volume>43</volume><issue>Database issue</issue><spage>D737</spage><epage>D742</epage><pages>D737-D742</pages><issn>0305-1048</issn><eissn>1362-4962</eissn><abstract>The non-human primate reference transcriptome resource (NHPRTR, available online at http://nhprtr.org/) aims to generate comprehensive RNA-seq data from a wide variety of non-human primates (NHPs), from lemurs to hominids. In the 2012 Phase I of the NHPRTR project, 19 billion fragments or 3.8 terabases of transcriptome sequences were collected from pools of ∼ 20 tissues in 15 species and subspecies. Here we describe a major expansion of NHPRTR by adding 10.1 billion fragments of tissue-specific RNA-seq data. For this effort, we selected 11 of the original 15 NHP species and subspecies and constructed total RNA libraries for the same ∼ 15 tissues in each. The sequence quality is such that 88% of the reads align to human reference sequences, allowing us to compute the full list of expression abundance across all tissues for each species, using the reads mapped to human genes. This update also includes improved transcript annotations derived from RNA-seq data for rhesus and cynomolgus macaques, two of the most commonly used NHP models and additional RNA-seq data compiled from related projects. 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subjects | Animals Database Issue Databases, Genetic Gene Expression Profiling Internet Macaca Molecular Sequence Annotation Organ Specificity Primates - genetics Reference Standards Sequence Alignment - standards Sequence Analysis, RNA |
title | Tissue-specific transcriptome sequencing analysis expands the non-human primate reference transcriptome resource (NHPRTR) |
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