Integrative Analysis of Normal Long Intergenic Non-Coding RNAs in Prostate Cancer
Recently, large numbers of normal human tissues have been profiled for non-coding RNAs and more than fourteen thousand long intergenic non-coding RNAs (lincRNAs) are found expressed in normal human tissues. The functional roles of these normal lincRNAs (nlincRNAs) in the regulation of protein coding...
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| description | Recently, large numbers of normal human tissues have been profiled for non-coding RNAs and more than fourteen thousand long intergenic non-coding RNAs (lincRNAs) are found expressed in normal human tissues. The functional roles of these normal lincRNAs (nlincRNAs) in the regulation of protein coding genes in normal and disease biology are yet to be established. Here, we have profiled two RNA-seq datasets including cancer and matched non-neoplastic tissues from 12 individuals from diverse demography for both coding genes and nlincRNAs. We find 130 nlincRNAs significantly regulated in cancer, with 127 regulated in the same direction in the two datasets. Interestingly, according to Illumina Body Map, significant numbers of these nlincRNAs display baseline null expression in normal prostate tissues but are specific to other tissues such as thyroid, kidney, liver and testis. A number of the regulated nlincRNAs share loci with coding genes, which are either co-regulated or oppositely regulated in all cancer samples studied here. For example, in all cancer samples i) the nlincRNA, TCONS_00029157, and a neighboring tumor suppressor factor, SIK1, are both down regulated; ii) several thyroid-specific nlincRNAs in the neighborhood of the thyroid-specific gene TPO, are both up-regulated; and iii) the TCONS_00010581, an isoform of HEIH, is down-regulated while the neighboring EZH2 gene is up-regulated in cancer. Several nlincRNAs from a prostate cancer associated chromosomal locus, 8q24, are up-regulated in cancer along with other known prostate cancer associated genes including PCAT-1, PVT1, and PCAT-92. We observe that there is significant bias towards up-regulation of nlincRNAs with as high as 118 out of 127 up-regulated in cancer, even though regulation of coding genes is skewed towards down-regulation. Considering that all reported cancer associated lincRNAs (clincRNAs) are biased towards up-regulation, we conclude that this bias may be functionally relevant. |
| doi_str_mv | 10.1371/journal.pone.0122143 |
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The functional roles of these normal lincRNAs (nlincRNAs) in the regulation of protein coding genes in normal and disease biology are yet to be established. Here, we have profiled two RNA-seq datasets including cancer and matched non-neoplastic tissues from 12 individuals from diverse demography for both coding genes and nlincRNAs. We find 130 nlincRNAs significantly regulated in cancer, with 127 regulated in the same direction in the two datasets. Interestingly, according to Illumina Body Map, significant numbers of these nlincRNAs display baseline null expression in normal prostate tissues but are specific to other tissues such as thyroid, kidney, liver and testis. A number of the regulated nlincRNAs share loci with coding genes, which are either co-regulated or oppositely regulated in all cancer samples studied here. For example, in all cancer samples i) the nlincRNA, TCONS_00029157, and a neighboring tumor suppressor factor, SIK1, are both down regulated; ii) several thyroid-specific nlincRNAs in the neighborhood of the thyroid-specific gene TPO, are both up-regulated; and iii) the TCONS_00010581, an isoform of HEIH, is down-regulated while the neighboring EZH2 gene is up-regulated in cancer. Several nlincRNAs from a prostate cancer associated chromosomal locus, 8q24, are up-regulated in cancer along with other known prostate cancer associated genes including PCAT-1, PVT1, and PCAT-92. We observe that there is significant bias towards up-regulation of nlincRNAs with as high as 118 out of 127 up-regulated in cancer, even though regulation of coding genes is skewed towards down-regulation. Considering that all reported cancer associated lincRNAs (clincRNAs) are biased towards up-regulation, we conclude that this bias may be functionally relevant.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0122143</identifier><identifier>PMID: 25933431</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Androgens ; Bias ; Bioinformatics ; Biotechnology ; Breast cancer ; Cancer ; Chromosome 8 ; Chromosomes, Human, Pair 17 - genetics ; Databases, Genetic ; Datasets ; Demography ; Epigenetics ; EZH2 gene ; Gene expression ; Gene Expression Profiling ; Gene Expression Regulation, Neoplastic ; Gene regulation ; Gene Regulatory Networks ; Genes ; Genes, Neoplasm ; Genetic Loci ; Genomes ; Genomics ; Human tissues ; Humans ; Liver ; Loci ; Lung cancer ; Male ; Multigene Family ; Principal Component Analysis ; Prostate cancer ; Prostatic Neoplasms - genetics ; Proteins ; Reproducibility of Results ; Ribonucleic acid ; RNA ; RNA, Long Noncoding - genetics ; RNA, Long Noncoding - metabolism ; Sequence Analysis, RNA ; Suppressor factor ; Thyroid ; Tissues ; Tumor suppressor genes</subject><ispartof>PloS one, 2015-05, Vol.10 (5), p.e0122143-e0122143</ispartof><rights>2015 Bawa et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2015 Bawa et al 2015 Bawa et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c526t-a3c2e20a60f130d9a80fdcf4b3cea8b3effee6f88586e58cf6f9c8efcf7ac1063</citedby><cites>FETCH-LOGICAL-c526t-a3c2e20a60f130d9a80fdcf4b3cea8b3effee6f88586e58cf6f9c8efcf7ac1063</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/PMC4416928/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4416928/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,864,885,2100,2926,23864,27922,27923,53789,53791,79370,79371</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/25933431$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Li, Xia</contributor><creatorcontrib>Bawa, Pushpinder</creatorcontrib><creatorcontrib>Zackaria, Sajna</creatorcontrib><creatorcontrib>Verma, Mohit</creatorcontrib><creatorcontrib>Gupta, Saurabh</creatorcontrib><creatorcontrib>Srivatsan, R</creatorcontrib><creatorcontrib>Chaudhary, Bibha</creatorcontrib><creatorcontrib>Srinivasan, Subhashini</creatorcontrib><title>Integrative Analysis of Normal Long Intergenic Non-Coding RNAs in Prostate Cancer</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>Recently, large numbers of normal human tissues have been profiled for non-coding RNAs and more than fourteen thousand long intergenic non-coding RNAs (lincRNAs) are found expressed in normal human tissues. The functional roles of these normal lincRNAs (nlincRNAs) in the regulation of protein coding genes in normal and disease biology are yet to be established. Here, we have profiled two RNA-seq datasets including cancer and matched non-neoplastic tissues from 12 individuals from diverse demography for both coding genes and nlincRNAs. We find 130 nlincRNAs significantly regulated in cancer, with 127 regulated in the same direction in the two datasets. Interestingly, according to Illumina Body Map, significant numbers of these nlincRNAs display baseline null expression in normal prostate tissues but are specific to other tissues such as thyroid, kidney, liver and testis. A number of the regulated nlincRNAs share loci with coding genes, which are either co-regulated or oppositely regulated in all cancer samples studied here. For example, in all cancer samples i) the nlincRNA, TCONS_00029157, and a neighboring tumor suppressor factor, SIK1, are both down regulated; ii) several thyroid-specific nlincRNAs in the neighborhood of the thyroid-specific gene TPO, are both up-regulated; and iii) the TCONS_00010581, an isoform of HEIH, is down-regulated while the neighboring EZH2 gene is up-regulated in cancer. Several nlincRNAs from a prostate cancer associated chromosomal locus, 8q24, are up-regulated in cancer along with other known prostate cancer associated genes including PCAT-1, PVT1, and PCAT-92. We observe that there is significant bias towards up-regulation of nlincRNAs with as high as 118 out of 127 up-regulated in cancer, even though regulation of coding genes is skewed towards down-regulation. Considering that all reported cancer associated lincRNAs (clincRNAs) are biased towards up-regulation, we conclude that this bias may be functionally relevant.</description><subject>Androgens</subject><subject>Bias</subject><subject>Bioinformatics</subject><subject>Biotechnology</subject><subject>Breast cancer</subject><subject>Cancer</subject><subject>Chromosome 8</subject><subject>Chromosomes, Human, Pair 17 - genetics</subject><subject>Databases, Genetic</subject><subject>Datasets</subject><subject>Demography</subject><subject>Epigenetics</subject><subject>EZH2 gene</subject><subject>Gene expression</subject><subject>Gene Expression Profiling</subject><subject>Gene Expression Regulation, Neoplastic</subject><subject>Gene regulation</subject><subject>Gene Regulatory Networks</subject><subject>Genes</subject><subject>Genes, Neoplasm</subject><subject>Genetic Loci</subject><subject>Genomes</subject><subject>Genomics</subject><subject>Human tissues</subject><subject>Humans</subject><subject>Liver</subject><subject>Loci</subject><subject>Lung cancer</subject><subject>Male</subject><subject>Multigene Family</subject><subject>Principal Component Analysis</subject><subject>Prostate cancer</subject><subject>Prostatic Neoplasms - genetics</subject><subject>Proteins</subject><subject>Reproducibility of Results</subject><subject>Ribonucleic acid</subject><subject>RNA</subject><subject>RNA, Long Noncoding - genetics</subject><subject>RNA, Long Noncoding - metabolism</subject><subject>Sequence Analysis, RNA</subject><subject>Suppressor factor</subject><subject>Thyroid</subject><subject>Tissues</subject><subject>Tumor suppressor genes</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>DOA</sourceid><recordid>eNptUk1vEzEUXCEQ_YB_gGAlLr1ssNder_eCFEUUIkUtIDhbL_bz4mhjB3tTqf--DtlWLerJ1nhmPO9piuIdJTPKWvppE_bRwzDbBY8zQuuacvaiOKUdqytRE_by0f2kOEtpQ0jDpBCvi5O66RjjjJ4WP5Z-xD7C6G6wnGe_2-RSGWx5FeIWhnIVfF8eOLFH73SGfbUIxmX059U8lc6X32NII4xYLsBrjG-KVxaGhG-n87z4ffnl1-Jbtbr-ulzMV5VuajFWwHSNNQFBLGXEdCCJNdryNdMIcs3QWkRhpWykwEZqK2ynJVptW9CUCHZefDj67oaQ1LSNpKhoW8F5xw-M5ZFhAmzULrotxFsVwKl_QIi9gjg6PaBCwo2BTjLbNlyDWDeGtNpo03a8y8Gy1-fpt_16i0ajHyMMT0yfvnj3R_XhRnFORVfLbHAxGcTwd49pVFuXNA4DeAz7Y24pGW3bTP34H_X56fiRpfP-U0T7EIYSdWjIvUodGqKmhmTZ-8eDPIjuK8HuAIdiuyU</recordid><startdate>20150501</startdate><enddate>20150501</enddate><creator>Bawa, Pushpinder</creator><creator>Zackaria, Sajna</creator><creator>Verma, Mohit</creator><creator>Gupta, Saurabh</creator><creator>Srivatsan, R</creator><creator>Chaudhary, Bibha</creator><creator>Srinivasan, Subhashini</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</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>3V.</scope><scope>7QG</scope><scope>7QL</scope><scope>7QO</scope><scope>7RV</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TG</scope><scope>7TM</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB.</scope><scope>KB0</scope><scope>KL.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope></search><sort><creationdate>20150501</creationdate><title>Integrative Analysis of Normal Long Intergenic Non-Coding RNAs in Prostate Cancer</title><author>Bawa, Pushpinder ; Zackaria, Sajna ; Verma, Mohit ; Gupta, Saurabh ; Srivatsan, R ; Chaudhary, Bibha ; Srinivasan, Subhashini</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c526t-a3c2e20a60f130d9a80fdcf4b3cea8b3effee6f88586e58cf6f9c8efcf7ac1063</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>Androgens</topic><topic>Bias</topic><topic>Bioinformatics</topic><topic>Biotechnology</topic><topic>Breast cancer</topic><topic>Cancer</topic><topic>Chromosome 8</topic><topic>Chromosomes, Human, Pair 17 - genetics</topic><topic>Databases, Genetic</topic><topic>Datasets</topic><topic>Demography</topic><topic>Epigenetics</topic><topic>EZH2 gene</topic><topic>Gene expression</topic><topic>Gene Expression Profiling</topic><topic>Gene Expression Regulation, Neoplastic</topic><topic>Gene regulation</topic><topic>Gene Regulatory Networks</topic><topic>Genes</topic><topic>Genes, Neoplasm</topic><topic>Genetic Loci</topic><topic>Genomes</topic><topic>Genomics</topic><topic>Human tissues</topic><topic>Humans</topic><topic>Liver</topic><topic>Loci</topic><topic>Lung cancer</topic><topic>Male</topic><topic>Multigene Family</topic><topic>Principal Component Analysis</topic><topic>Prostate cancer</topic><topic>Prostatic Neoplasms - genetics</topic><topic>Proteins</topic><topic>Reproducibility of Results</topic><topic>Ribonucleic acid</topic><topic>RNA</topic><topic>RNA, Long Noncoding - genetics</topic><topic>RNA, Long Noncoding - metabolism</topic><topic>Sequence Analysis, RNA</topic><topic>Suppressor factor</topic><topic>Thyroid</topic><topic>Tissues</topic><topic>Tumor suppressor genes</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Bawa, Pushpinder</creatorcontrib><creatorcontrib>Zackaria, Sajna</creatorcontrib><creatorcontrib>Verma, Mohit</creatorcontrib><creatorcontrib>Gupta, Saurabh</creatorcontrib><creatorcontrib>Srivatsan, R</creatorcontrib><creatorcontrib>Chaudhary, Bibha</creatorcontrib><creatorcontrib>Srinivasan, Subhashini</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Animal Behavior Abstracts</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Biotechnology Research Abstracts</collection><collection>Nursing & Allied Health Database</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Immunology Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Agricultural Science Collection</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Materials Science Collection</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Materials Science Database</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Meteorological & Geoastrophysical Abstracts - 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Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Bawa, Pushpinder</au><au>Zackaria, Sajna</au><au>Verma, Mohit</au><au>Gupta, Saurabh</au><au>Srivatsan, R</au><au>Chaudhary, Bibha</au><au>Srinivasan, Subhashini</au><au>Li, Xia</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Integrative Analysis of Normal Long Intergenic Non-Coding RNAs in Prostate Cancer</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2015-05-01</date><risdate>2015</risdate><volume>10</volume><issue>5</issue><spage>e0122143</spage><epage>e0122143</epage><pages>e0122143-e0122143</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Recently, large numbers of normal human tissues have been profiled for non-coding RNAs and more than fourteen thousand long intergenic non-coding RNAs (lincRNAs) are found expressed in normal human tissues. The functional roles of these normal lincRNAs (nlincRNAs) in the regulation of protein coding genes in normal and disease biology are yet to be established. Here, we have profiled two RNA-seq datasets including cancer and matched non-neoplastic tissues from 12 individuals from diverse demography for both coding genes and nlincRNAs. We find 130 nlincRNAs significantly regulated in cancer, with 127 regulated in the same direction in the two datasets. Interestingly, according to Illumina Body Map, significant numbers of these nlincRNAs display baseline null expression in normal prostate tissues but are specific to other tissues such as thyroid, kidney, liver and testis. A number of the regulated nlincRNAs share loci with coding genes, which are either co-regulated or oppositely regulated in all cancer samples studied here. For example, in all cancer samples i) the nlincRNA, TCONS_00029157, and a neighboring tumor suppressor factor, SIK1, are both down regulated; ii) several thyroid-specific nlincRNAs in the neighborhood of the thyroid-specific gene TPO, are both up-regulated; and iii) the TCONS_00010581, an isoform of HEIH, is down-regulated while the neighboring EZH2 gene is up-regulated in cancer. Several nlincRNAs from a prostate cancer associated chromosomal locus, 8q24, are up-regulated in cancer along with other known prostate cancer associated genes including PCAT-1, PVT1, and PCAT-92. We observe that there is significant bias towards up-regulation of nlincRNAs with as high as 118 out of 127 up-regulated in cancer, even though regulation of coding genes is skewed towards down-regulation. Considering that all reported cancer associated lincRNAs (clincRNAs) are biased towards up-regulation, we conclude that this bias may be functionally relevant.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>25933431</pmid><doi>10.1371/journal.pone.0122143</doi><oa>free_for_read</oa></addata></record> |
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| issn | 1932-6203 1932-6203 |
| language | eng |
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| source | MEDLINE; DOAJ Directory of Open Access Journals; Public Library of Science (PLoS) Journals Open Access; EZB-FREE-00999 freely available EZB journals; PubMed Central; Free Full-Text Journals in Chemistry |
| subjects | Androgens Bias Bioinformatics Biotechnology Breast cancer Cancer Chromosome 8 Chromosomes, Human, Pair 17 - genetics Databases, Genetic Datasets Demography Epigenetics EZH2 gene Gene expression Gene Expression Profiling Gene Expression Regulation, Neoplastic Gene regulation Gene Regulatory Networks Genes Genes, Neoplasm Genetic Loci Genomes Genomics Human tissues Humans Liver Loci Lung cancer Male Multigene Family Principal Component Analysis Prostate cancer Prostatic Neoplasms - genetics Proteins Reproducibility of Results Ribonucleic acid RNA RNA, Long Noncoding - genetics RNA, Long Noncoding - metabolism Sequence Analysis, RNA Suppressor factor Thyroid Tissues Tumor suppressor genes |
| title | Integrative Analysis of Normal Long Intergenic Non-Coding RNAs in Prostate Cancer |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-10T07%3A27%3A44IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_plos_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Integrative%20Analysis%20of%20Normal%20Long%20Intergenic%20Non-Coding%20RNAs%20in%20Prostate%20Cancer&rft.jtitle=PloS%20one&rft.au=Bawa,%20Pushpinder&rft.date=2015-05-01&rft.volume=10&rft.issue=5&rft.spage=e0122143&rft.epage=e0122143&rft.pages=e0122143-e0122143&rft.issn=1932-6203&rft.eissn=1932-6203&rft_id=info:doi/10.1371/journal.pone.0122143&rft_dat=%3Cproquest_plos_%3E1677883177%3C/proquest_plos_%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1677644946&rft_id=info:pmid/25933431&rft_doaj_id=oai_doaj_org_article_e04dda983f754ca6b5d07cdcd79490fd&rfr_iscdi=true |