Loading…

Expression Profiling of a Heterogeneous Population of ncRNAs Employing a Mixed DNA/LNA Microarray

Mammalian transcriptomes mainly consist of non protein coding RNAs. These ncRNAs play various roles in all cells and are involved in multiple regulation pathways. More recently, ncRNAs have also been described as valuable diagnostic tools. While RNA-seq approaches progressively replace microarray-ba...

Full description

Saved in:
Bibliographic Details
Published in:Journal of Nucleic Acids 2012-01, Vol.2012 (2012), p.124-133
Main Authors: Skreka, Konstantinia, Zywicki, Marek, Karbiener, Michael, Hüttenhofer, Alexander, Scheideler, Marcel, Rederstorff, Mathieu
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by cdi_FETCH-LOGICAL-a635t-eae0b7da3c46f8b761f2438412ba384a24c63bea3f98a2706f06967b63a3cc3
cites cdi_FETCH-LOGICAL-a635t-eae0b7da3c46f8b761f2438412ba384a24c63bea3f98a2706f06967b63a3cc3
container_end_page 133
container_issue 2012
container_start_page 124
container_title Journal of Nucleic Acids
container_volume 2012
creator Skreka, Konstantinia
Zywicki, Marek
Karbiener, Michael
Hüttenhofer, Alexander
Scheideler, Marcel
Rederstorff, Mathieu
description Mammalian transcriptomes mainly consist of non protein coding RNAs. These ncRNAs play various roles in all cells and are involved in multiple regulation pathways. More recently, ncRNAs have also been described as valuable diagnostic tools. While RNA-seq approaches progressively replace microarray-based technologies for high-throughput expression profiling, they are still not routinely used in diagnostic. Microarrays, on the other hand, are more widely used for diagnostic profiling, especially for very small ncRNA (e.g., miRNAs), employing locked nucleic acid (LNA) arrays. However, LNA microarrays are quite expensive for high-throughput studies targeting longer ncRNAs, while DNA arrays do not provide satisfying results for the analysis of small RNAs. Here, we describe a mixed DNA/LNA microarray platform, where directly labeled small and longer ncRNAs are hybridized on LNA probes or custom DNA probes, respectively, enabling sensitive and specific analysis of a complex RNA population on a unique array in one single experiment. The DNA/LNA system, requiring relatively low amounts of total RNA, which complies with diagnostic references, was successfully applied to the analysis of differential ncRNA expression in mouse embryonic stem cells and adult brain cells.
doi_str_mv 10.1155/2012/283560
format article
fullrecord <record><control><sourceid>proquest_doaj_</sourceid><recordid>TN_cdi_doaj_primary_oai_doaj_org_article_676f24e45c97445f99d97573e470717e</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><airiti_id>P20151118008_201212_201706120022_201706120022_124_133</airiti_id><doaj_id>oai_doaj_org_article_676f24e45c97445f99d97573e470717e</doaj_id><sourcerecordid>2873498211</sourcerecordid><originalsourceid>FETCH-LOGICAL-a635t-eae0b7da3c46f8b761f2438412ba384a24c63bea3f98a2706f06967b63a3cc3</originalsourceid><addsrcrecordid>eNqFkkuP0zAQgCMEYlfLnjiDInHhoVI_Eju-IEVLoSuVUgEHbtYkcbqu0rjY6bL990yaUnZ7IRfHnm8-P2ai6Dkl7ylN0zEjlI1ZxlNBHkXnjCgyIoz-fHzv_yy6DGFF8OOZSiV_Gp0xJmWmKDmPYHK38SYE69p44V1tG9suY1fHEE9NZ7xbmta4bYgXbrNtoOs5jLblt3ke4sl607hdnwHxF3tnqvjjPB_P5jnOSu_Ae9g9i57U0ARzeRgvou-fJj-upqPZ18_XV_lsBIKn3ciAIYWsgJeJqLNCClqzhGcJZQXgACwpBS8M8FplwCQRNRFKyEJwTCn5RXQ9WCsHK73xdg1-px1YvV9wfqnBd7ZsjBZSoNokaalkkqS1UpWS-C4mkURSadD1YXBttsXaVKVpOw_NA-nDSGtv9NLdao4HVRlDwZtBcHOSNs1nul8jTPEko-ktRfb1YTPvfm1N6PTahtI0DezfXVOCJMF6pYi-OkFXbutbfFRNmWQcC64UUu8GCgsQgjf18QSU6L5ndN8zeugZpF_ev-uR_dshCLw93MW2Ffy2_7G9GGCDiKnhCCeCMNLHZ0McrLed_Xf-BVpSSmlGSLY39k5CscwU89jJhLJEU875H8ki49w</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1272309099</pqid></control><display><type>article</type><title>Expression Profiling of a Heterogeneous Population of ncRNAs Employing a Mixed DNA/LNA Microarray</title><source>Wiley-Blackwell Open Access Collection</source><source>Open Access: PubMed Central</source><source>Publicly Available Content (ProQuest)</source><creator>Skreka, Konstantinia ; Zywicki, Marek ; Karbiener, Michael ; Hüttenhofer, Alexander ; Scheideler, Marcel ; Rederstorff, Mathieu</creator><contributor>Basu, Ashis K.</contributor><creatorcontrib>Skreka, Konstantinia ; Zywicki, Marek ; Karbiener, Michael ; Hüttenhofer, Alexander ; Scheideler, Marcel ; Rederstorff, Mathieu ; Basu, Ashis K.</creatorcontrib><description>Mammalian transcriptomes mainly consist of non protein coding RNAs. These ncRNAs play various roles in all cells and are involved in multiple regulation pathways. More recently, ncRNAs have also been described as valuable diagnostic tools. While RNA-seq approaches progressively replace microarray-based technologies for high-throughput expression profiling, they are still not routinely used in diagnostic. Microarrays, on the other hand, are more widely used for diagnostic profiling, especially for very small ncRNA (e.g., miRNAs), employing locked nucleic acid (LNA) arrays. However, LNA microarrays are quite expensive for high-throughput studies targeting longer ncRNAs, while DNA arrays do not provide satisfying results for the analysis of small RNAs. Here, we describe a mixed DNA/LNA microarray platform, where directly labeled small and longer ncRNAs are hybridized on LNA probes or custom DNA probes, respectively, enabling sensitive and specific analysis of a complex RNA population on a unique array in one single experiment. The DNA/LNA system, requiring relatively low amounts of total RNA, which complies with diagnostic references, was successfully applied to the analysis of differential ncRNA expression in mouse embryonic stem cells and adult brain cells.</description><identifier>ISSN: 2090-021X</identifier><identifier>ISSN: 2090-0201</identifier><identifier>EISSN: 2090-021X</identifier><identifier>DOI: 10.1155/2012/283560</identifier><identifier>PMID: 22778910</identifier><language>eng</language><publisher>Cairo, Egypt: Hindawi Limiteds</publisher><subject>Biochemistry, Molecular Biology ; Biomarkers ; Deoxyribonucleic acid ; DNA ; Genes ; Genomes ; Hybridization ; Labeling ; Life Sciences ; Protocol ; Stem cells</subject><ispartof>Journal of Nucleic Acids, 2012-01, Vol.2012 (2012), p.124-133</ispartof><rights>Copyright © 2012 Konstantinia Skreka et al.</rights><rights>Copyright © 2012 Konstantinia Skreka et al. Konstantinia Skreka et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</rights><rights>Distributed under a Creative Commons Attribution 4.0 International License</rights><rights>Copyright © 2012 Konstantinia Skreka et al. 2012</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a635t-eae0b7da3c46f8b761f2438412ba384a24c63bea3f98a2706f06967b63a3cc3</citedby><cites>FETCH-LOGICAL-a635t-eae0b7da3c46f8b761f2438412ba384a24c63bea3f98a2706f06967b63a3cc3</cites><orcidid>0000-0002-4931-0777</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/1272309099/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/1272309099?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,881,25732,27903,27904,36991,36992,44569,53770,53772,74873</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/22778910$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink><backlink>$$Uhttps://hal.univ-lorraine.fr/hal-02934815$$DView record in HAL$$Hfree_for_read</backlink></links><search><contributor>Basu, Ashis K.</contributor><creatorcontrib>Skreka, Konstantinia</creatorcontrib><creatorcontrib>Zywicki, Marek</creatorcontrib><creatorcontrib>Karbiener, Michael</creatorcontrib><creatorcontrib>Hüttenhofer, Alexander</creatorcontrib><creatorcontrib>Scheideler, Marcel</creatorcontrib><creatorcontrib>Rederstorff, Mathieu</creatorcontrib><title>Expression Profiling of a Heterogeneous Population of ncRNAs Employing a Mixed DNA/LNA Microarray</title><title>Journal of Nucleic Acids</title><addtitle>J Nucleic Acids</addtitle><description>Mammalian transcriptomes mainly consist of non protein coding RNAs. These ncRNAs play various roles in all cells and are involved in multiple regulation pathways. More recently, ncRNAs have also been described as valuable diagnostic tools. While RNA-seq approaches progressively replace microarray-based technologies for high-throughput expression profiling, they are still not routinely used in diagnostic. Microarrays, on the other hand, are more widely used for diagnostic profiling, especially for very small ncRNA (e.g., miRNAs), employing locked nucleic acid (LNA) arrays. However, LNA microarrays are quite expensive for high-throughput studies targeting longer ncRNAs, while DNA arrays do not provide satisfying results for the analysis of small RNAs. Here, we describe a mixed DNA/LNA microarray platform, where directly labeled small and longer ncRNAs are hybridized on LNA probes or custom DNA probes, respectively, enabling sensitive and specific analysis of a complex RNA population on a unique array in one single experiment. The DNA/LNA system, requiring relatively low amounts of total RNA, which complies with diagnostic references, was successfully applied to the analysis of differential ncRNA expression in mouse embryonic stem cells and adult brain cells.</description><subject>Biochemistry, Molecular Biology</subject><subject>Biomarkers</subject><subject>Deoxyribonucleic acid</subject><subject>DNA</subject><subject>Genes</subject><subject>Genomes</subject><subject>Hybridization</subject><subject>Labeling</subject><subject>Life Sciences</subject><subject>Protocol</subject><subject>Stem cells</subject><issn>2090-021X</issn><issn>2090-0201</issn><issn>2090-021X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2012</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNqFkkuP0zAQgCMEYlfLnjiDInHhoVI_Eju-IEVLoSuVUgEHbtYkcbqu0rjY6bL990yaUnZ7IRfHnm8-P2ai6Dkl7ylN0zEjlI1ZxlNBHkXnjCgyIoz-fHzv_yy6DGFF8OOZSiV_Gp0xJmWmKDmPYHK38SYE69p44V1tG9suY1fHEE9NZ7xbmta4bYgXbrNtoOs5jLblt3ke4sl607hdnwHxF3tnqvjjPB_P5jnOSu_Ae9g9i57U0ARzeRgvou-fJj-upqPZ18_XV_lsBIKn3ciAIYWsgJeJqLNCClqzhGcJZQXgACwpBS8M8FplwCQRNRFKyEJwTCn5RXQ9WCsHK73xdg1-px1YvV9wfqnBd7ZsjBZSoNokaalkkqS1UpWS-C4mkURSadD1YXBttsXaVKVpOw_NA-nDSGtv9NLdao4HVRlDwZtBcHOSNs1nul8jTPEko-ktRfb1YTPvfm1N6PTahtI0DezfXVOCJMF6pYi-OkFXbutbfFRNmWQcC64UUu8GCgsQgjf18QSU6L5ndN8zeugZpF_ev-uR_dshCLw93MW2Ffy2_7G9GGCDiKnhCCeCMNLHZ0McrLed_Xf-BVpSSmlGSLY39k5CscwU89jJhLJEU875H8ki49w</recordid><startdate>20120101</startdate><enddate>20120101</enddate><creator>Skreka, Konstantinia</creator><creator>Zywicki, Marek</creator><creator>Karbiener, Michael</creator><creator>Hüttenhofer, Alexander</creator><creator>Scheideler, Marcel</creator><creator>Rederstorff, Mathieu</creator><general>Hindawi Limiteds</general><general>Hindawi Puplishing Corporation</general><general>Hindawi Publishing Corporation</general><general>Hindawi Limited</general><scope>188</scope><scope>ADJCN</scope><scope>AHFXO</scope><scope>RHU</scope><scope>RHW</scope><scope>RHX</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7TM</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>CWDGH</scope><scope>D1I</scope><scope>DWQXO</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>KB.</scope><scope>LK8</scope><scope>M7P</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>1XC</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0002-4931-0777</orcidid></search><sort><creationdate>20120101</creationdate><title>Expression Profiling of a Heterogeneous Population of ncRNAs Employing a Mixed DNA/LNA Microarray</title><author>Skreka, Konstantinia ; Zywicki, Marek ; Karbiener, Michael ; Hüttenhofer, Alexander ; Scheideler, Marcel ; Rederstorff, Mathieu</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a635t-eae0b7da3c46f8b761f2438412ba384a24c63bea3f98a2706f06967b63a3cc3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2012</creationdate><topic>Biochemistry, Molecular Biology</topic><topic>Biomarkers</topic><topic>Deoxyribonucleic acid</topic><topic>DNA</topic><topic>Genes</topic><topic>Genomes</topic><topic>Hybridization</topic><topic>Labeling</topic><topic>Life Sciences</topic><topic>Protocol</topic><topic>Stem cells</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Skreka, Konstantinia</creatorcontrib><creatorcontrib>Zywicki, Marek</creatorcontrib><creatorcontrib>Karbiener, Michael</creatorcontrib><creatorcontrib>Hüttenhofer, Alexander</creatorcontrib><creatorcontrib>Scheideler, Marcel</creatorcontrib><creatorcontrib>Rederstorff, Mathieu</creatorcontrib><collection>Airiti Library</collection><collection>الدوريات العلمية والإحصائية - e-Marefa Academic and Statistical Periodicals</collection><collection>معرفة - المحتوى العربي الأكاديمي المتكامل - e-Marefa Academic Complete</collection><collection>Hindawi Publishing Complete</collection><collection>Hindawi Publishing Subscription Journals</collection><collection>Hindawi Publishing Open Access Journals</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Nucleic Acids Abstracts</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Materials Science &amp; Engineering Collection</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>AUTh Library subscriptions: ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>Middle East &amp; Africa Database</collection><collection>ProQuest Materials Science Collection</collection><collection>ProQuest Central</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>Materials Science Database</collection><collection>ProQuest Biological Science Collection</collection><collection>ProQuest Biological Science Journals</collection><collection>Materials science collection</collection><collection>Publicly Available Content (ProQuest)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>MEDLINE - Academic</collection><collection>Hyper Article en Ligne (HAL)</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>Journal of Nucleic Acids</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Skreka, Konstantinia</au><au>Zywicki, Marek</au><au>Karbiener, Michael</au><au>Hüttenhofer, Alexander</au><au>Scheideler, Marcel</au><au>Rederstorff, Mathieu</au><au>Basu, Ashis K.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Expression Profiling of a Heterogeneous Population of ncRNAs Employing a Mixed DNA/LNA Microarray</atitle><jtitle>Journal of Nucleic Acids</jtitle><addtitle>J Nucleic Acids</addtitle><date>2012-01-01</date><risdate>2012</risdate><volume>2012</volume><issue>2012</issue><spage>124</spage><epage>133</epage><pages>124-133</pages><issn>2090-021X</issn><issn>2090-0201</issn><eissn>2090-021X</eissn><abstract>Mammalian transcriptomes mainly consist of non protein coding RNAs. These ncRNAs play various roles in all cells and are involved in multiple regulation pathways. More recently, ncRNAs have also been described as valuable diagnostic tools. While RNA-seq approaches progressively replace microarray-based technologies for high-throughput expression profiling, they are still not routinely used in diagnostic. Microarrays, on the other hand, are more widely used for diagnostic profiling, especially for very small ncRNA (e.g., miRNAs), employing locked nucleic acid (LNA) arrays. However, LNA microarrays are quite expensive for high-throughput studies targeting longer ncRNAs, while DNA arrays do not provide satisfying results for the analysis of small RNAs. Here, we describe a mixed DNA/LNA microarray platform, where directly labeled small and longer ncRNAs are hybridized on LNA probes or custom DNA probes, respectively, enabling sensitive and specific analysis of a complex RNA population on a unique array in one single experiment. The DNA/LNA system, requiring relatively low amounts of total RNA, which complies with diagnostic references, was successfully applied to the analysis of differential ncRNA expression in mouse embryonic stem cells and adult brain cells.</abstract><cop>Cairo, Egypt</cop><pub>Hindawi Limiteds</pub><pmid>22778910</pmid><doi>10.1155/2012/283560</doi><tpages>10</tpages><orcidid>https://orcid.org/0000-0002-4931-0777</orcidid><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 2090-021X
ispartof Journal of Nucleic Acids, 2012-01, Vol.2012 (2012), p.124-133
issn 2090-021X
2090-0201
2090-021X
language eng
recordid cdi_doaj_primary_oai_doaj_org_article_676f24e45c97445f99d97573e470717e
source Wiley-Blackwell Open Access Collection; Open Access: PubMed Central; Publicly Available Content (ProQuest)
subjects Biochemistry, Molecular Biology
Biomarkers
Deoxyribonucleic acid
DNA
Genes
Genomes
Hybridization
Labeling
Life Sciences
Protocol
Stem cells
title Expression Profiling of a Heterogeneous Population of ncRNAs Employing a Mixed DNA/LNA Microarray
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-22T19%3A07%3A03IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_doaj_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Expression%20Profiling%20of%20a%20Heterogeneous%20Population%20of%20ncRNAs%20Employing%20a%20Mixed%20DNA/LNA%20Microarray&rft.jtitle=Journal%20of%20Nucleic%20Acids&rft.au=Skreka,%20Konstantinia&rft.date=2012-01-01&rft.volume=2012&rft.issue=2012&rft.spage=124&rft.epage=133&rft.pages=124-133&rft.issn=2090-021X&rft.eissn=2090-021X&rft_id=info:doi/10.1155/2012/283560&rft_dat=%3Cproquest_doaj_%3E2873498211%3C/proquest_doaj_%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-a635t-eae0b7da3c46f8b761f2438412ba384a24c63bea3f98a2706f06967b63a3cc3%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=1272309099&rft_id=info:pmid/22778910&rft_airiti_id=P20151118008_201212_201706120022_201706120022_124_133&rfr_iscdi=true