A novel, high-performance random array platform for quantitative gene expression profiling
We have developed a new microarray technology for quantitative gene-expression profiling on the basis of randomly assembled arrays of beads. Each bead carries a gene-specific probe sequence. There are multiple copies of each sequence-specific bead in an array, which contributes to measurement precis...
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Veröffentlicht in: | Genome research 2004-11, Vol.14 (11), p.2347-2356 |
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creator | Kuhn, Kenneth Baker, Shawn C Chudin, Eugene Lieu, Minh-Ha Oeser, Steffen Bennett, Holly Rigault, Philippe Barker, David McDaniel, Timothy K Chee, Mark S |
description | We have developed a new microarray technology for quantitative gene-expression profiling on the basis of randomly assembled arrays of beads. Each bead carries a gene-specific probe sequence. There are multiple copies of each sequence-specific bead in an array, which contributes to measurement precision and reliability. We optimized the system for specific and sensitive analysis of mammalian RNA, and using RNA controls of defined concentration, obtained the following estimates of system performance: specificity of 1:250,000 in mammalian poly(A(+)) mRNA; limit of detection 0.13 pM; dynamic range 3.2 logs; and sufficient precision to detect 1.3-fold differences with 95% confidence within the dynamic range. Measurements of expression differences between human brain and liver were validated by concordance with quantitative real-time PCR (R(2) = 0.98 for log-transformed ratios, and slope of the best-fit line = 1.04, for 20 genes). Quantitative performance was further verified using a mouse B- and T-cell model system. We found published reports of B- or T-cell-specific expression for 42 of 59 genes that showed the greatest differential expression between B- and T-cells in our system. All of the literature observations were concordant with our results. Our experiments were carried out on a 96-array matrix system that requires only 100 ng of input RNA and uses standard microtiter plates to process samples in parallel. Our technology has advantages for analyzing multiple samples, is scalable to all known genes in a genome, and is flexible, allowing the use of standard or custom probes in an array. |
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Each bead carries a gene-specific probe sequence. There are multiple copies of each sequence-specific bead in an array, which contributes to measurement precision and reliability. We optimized the system for specific and sensitive analysis of mammalian RNA, and using RNA controls of defined concentration, obtained the following estimates of system performance: specificity of 1:250,000 in mammalian poly(A(+)) mRNA; limit of detection 0.13 pM; dynamic range 3.2 logs; and sufficient precision to detect 1.3-fold differences with 95% confidence within the dynamic range. Measurements of expression differences between human brain and liver were validated by concordance with quantitative real-time PCR (R(2) = 0.98 for log-transformed ratios, and slope of the best-fit line = 1.04, for 20 genes). Quantitative performance was further verified using a mouse B- and T-cell model system. We found published reports of B- or T-cell-specific expression for 42 of 59 genes that showed the greatest differential expression between B- and T-cells in our system. All of the literature observations were concordant with our results. Our experiments were carried out on a 96-array matrix system that requires only 100 ng of input RNA and uses standard microtiter plates to process samples in parallel. Our technology has advantages for analyzing multiple samples, is scalable to all known genes in a genome, and is flexible, allowing the use of standard or custom probes in an array.</description><identifier>ISSN: 1088-9051</identifier><identifier>EISSN: 1549-5469</identifier><identifier>DOI: 10.1101/gr.2739104</identifier><identifier>PMID: 15520296</identifier><language>eng</language><publisher>United States: Cold Spring Harbor Laboratory Press</publisher><subject>Animals ; B-Lymphocytes - chemistry ; Brain Chemistry ; DNA Primers ; DNA, Complementary - analysis ; Gene Expression ; Gene Expression Profiling - methods ; Humans ; Methods ; Mice ; Nucleic Acid Hybridization - methods ; Oligonucleotide Array Sequence Analysis - methods ; Polymerase Chain Reaction ; Reference Standards ; RNA, Messenger - analysis ; Spleen - chemistry ; T-Lymphocytes - chemistry ; Transcription, Genetic</subject><ispartof>Genome research, 2004-11, Vol.14 (11), p.2347-2356</ispartof><rights>Copyright © 2004, Cold Spring Harbor Laboratory Press 2004</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c470t-925103258b6862c82a056b56c22ae1f7efa535a382c26421b51293b8f8907dbd3</citedby><cites>FETCH-LOGICAL-c470t-925103258b6862c82a056b56c22ae1f7efa535a382c26421b51293b8f8907dbd3</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/PMC525694/pdf/$$EPDF$$P50$$Gpubmedcentral$$H</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC525694/$$EHTML$$P50$$Gpubmedcentral$$H</linktohtml><link.rule.ids>230,314,723,776,780,881,27903,27904,53769,53771</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/15520296$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Kuhn, Kenneth</creatorcontrib><creatorcontrib>Baker, Shawn C</creatorcontrib><creatorcontrib>Chudin, Eugene</creatorcontrib><creatorcontrib>Lieu, Minh-Ha</creatorcontrib><creatorcontrib>Oeser, Steffen</creatorcontrib><creatorcontrib>Bennett, Holly</creatorcontrib><creatorcontrib>Rigault, Philippe</creatorcontrib><creatorcontrib>Barker, David</creatorcontrib><creatorcontrib>McDaniel, Timothy K</creatorcontrib><creatorcontrib>Chee, Mark S</creatorcontrib><title>A novel, high-performance random array platform for quantitative gene expression profiling</title><title>Genome research</title><addtitle>Genome Res</addtitle><description>We have developed a new microarray technology for quantitative gene-expression profiling on the basis of randomly assembled arrays of beads. Each bead carries a gene-specific probe sequence. There are multiple copies of each sequence-specific bead in an array, which contributes to measurement precision and reliability. We optimized the system for specific and sensitive analysis of mammalian RNA, and using RNA controls of defined concentration, obtained the following estimates of system performance: specificity of 1:250,000 in mammalian poly(A(+)) mRNA; limit of detection 0.13 pM; dynamic range 3.2 logs; and sufficient precision to detect 1.3-fold differences with 95% confidence within the dynamic range. Measurements of expression differences between human brain and liver were validated by concordance with quantitative real-time PCR (R(2) = 0.98 for log-transformed ratios, and slope of the best-fit line = 1.04, for 20 genes). Quantitative performance was further verified using a mouse B- and T-cell model system. We found published reports of B- or T-cell-specific expression for 42 of 59 genes that showed the greatest differential expression between B- and T-cells in our system. All of the literature observations were concordant with our results. Our experiments were carried out on a 96-array matrix system that requires only 100 ng of input RNA and uses standard microtiter plates to process samples in parallel. Our technology has advantages for analyzing multiple samples, is scalable to all known genes in a genome, and is flexible, allowing the use of standard or custom probes in an array.</description><subject>Animals</subject><subject>B-Lymphocytes - chemistry</subject><subject>Brain Chemistry</subject><subject>DNA Primers</subject><subject>DNA, Complementary - analysis</subject><subject>Gene Expression</subject><subject>Gene Expression Profiling - methods</subject><subject>Humans</subject><subject>Methods</subject><subject>Mice</subject><subject>Nucleic Acid Hybridization - methods</subject><subject>Oligonucleotide Array Sequence Analysis - methods</subject><subject>Polymerase Chain Reaction</subject><subject>Reference Standards</subject><subject>RNA, Messenger - analysis</subject><subject>Spleen - chemistry</subject><subject>T-Lymphocytes - chemistry</subject><subject>Transcription, Genetic</subject><issn>1088-9051</issn><issn>1549-5469</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2004</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqFkUtLxDAUhYMozji68QdIVi7Eah5NmixciPgCwY1u3IS0c9uJtEkn6Qz67604-Fi5uffC-c7lwEHokJIzSgk9b-IZK7imJN9CUypynYlc6u3xJkplmgg6QXspvRJCeK7ULppQIRhhWk7RyyX2YQ3tKV64ZpH1EOsQO-srwNH6eeiwjdG-4761w6eCx4GXK-sHN9jBrQE34AHDWx8hJRc87mOoXet8s492atsmONjsGXq-uX66usseHm_vry4fsiovyJBpJijhTKhSKskqxSwRshSyYswCrQuoreDCcsUqJnNGS0GZ5qWqlSbFvJzzGbr4-tuvyg7mFfgh2tb00XU2vptgnfmreLcwTVgbwYTU-eg_3vhjWK4gDaZzqYK2tR7CKhlZECaF4v-CtCgoFYUawZMvsIohpQj1dxhKzGdlpolmU9kIH_2O_4NuOuIfhvKS6w</recordid><startdate>200411</startdate><enddate>200411</enddate><creator>Kuhn, Kenneth</creator><creator>Baker, Shawn C</creator><creator>Chudin, Eugene</creator><creator>Lieu, Minh-Ha</creator><creator>Oeser, Steffen</creator><creator>Bennett, Holly</creator><creator>Rigault, Philippe</creator><creator>Barker, David</creator><creator>McDaniel, Timothy K</creator><creator>Chee, Mark S</creator><general>Cold Spring Harbor Laboratory 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>8FD</scope><scope>FR3</scope><scope>P64</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>200411</creationdate><title>A novel, high-performance random array platform for quantitative gene expression profiling</title><author>Kuhn, Kenneth ; Baker, Shawn C ; Chudin, Eugene ; Lieu, Minh-Ha ; Oeser, Steffen ; Bennett, Holly ; Rigault, Philippe ; Barker, David ; McDaniel, Timothy K ; Chee, Mark S</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c470t-925103258b6862c82a056b56c22ae1f7efa535a382c26421b51293b8f8907dbd3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2004</creationdate><topic>Animals</topic><topic>B-Lymphocytes - chemistry</topic><topic>Brain Chemistry</topic><topic>DNA Primers</topic><topic>DNA, Complementary - analysis</topic><topic>Gene Expression</topic><topic>Gene Expression Profiling - methods</topic><topic>Humans</topic><topic>Methods</topic><topic>Mice</topic><topic>Nucleic Acid Hybridization - methods</topic><topic>Oligonucleotide Array Sequence Analysis - methods</topic><topic>Polymerase Chain Reaction</topic><topic>Reference Standards</topic><topic>RNA, Messenger - analysis</topic><topic>Spleen - chemistry</topic><topic>T-Lymphocytes - chemistry</topic><topic>Transcription, Genetic</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Kuhn, Kenneth</creatorcontrib><creatorcontrib>Baker, Shawn C</creatorcontrib><creatorcontrib>Chudin, Eugene</creatorcontrib><creatorcontrib>Lieu, Minh-Ha</creatorcontrib><creatorcontrib>Oeser, Steffen</creatorcontrib><creatorcontrib>Bennett, Holly</creatorcontrib><creatorcontrib>Rigault, Philippe</creatorcontrib><creatorcontrib>Barker, David</creatorcontrib><creatorcontrib>McDaniel, Timothy K</creatorcontrib><creatorcontrib>Chee, Mark S</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Genome research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Kuhn, Kenneth</au><au>Baker, Shawn C</au><au>Chudin, Eugene</au><au>Lieu, Minh-Ha</au><au>Oeser, Steffen</au><au>Bennett, Holly</au><au>Rigault, Philippe</au><au>Barker, David</au><au>McDaniel, Timothy K</au><au>Chee, Mark S</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A novel, high-performance random array platform for quantitative gene expression profiling</atitle><jtitle>Genome research</jtitle><addtitle>Genome Res</addtitle><date>2004-11</date><risdate>2004</risdate><volume>14</volume><issue>11</issue><spage>2347</spage><epage>2356</epage><pages>2347-2356</pages><issn>1088-9051</issn><eissn>1549-5469</eissn><abstract>We have developed a new microarray technology for quantitative gene-expression profiling on the basis of randomly assembled arrays of beads. Each bead carries a gene-specific probe sequence. There are multiple copies of each sequence-specific bead in an array, which contributes to measurement precision and reliability. We optimized the system for specific and sensitive analysis of mammalian RNA, and using RNA controls of defined concentration, obtained the following estimates of system performance: specificity of 1:250,000 in mammalian poly(A(+)) mRNA; limit of detection 0.13 pM; dynamic range 3.2 logs; and sufficient precision to detect 1.3-fold differences with 95% confidence within the dynamic range. Measurements of expression differences between human brain and liver were validated by concordance with quantitative real-time PCR (R(2) = 0.98 for log-transformed ratios, and slope of the best-fit line = 1.04, for 20 genes). Quantitative performance was further verified using a mouse B- and T-cell model system. 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subjects | Animals B-Lymphocytes - chemistry Brain Chemistry DNA Primers DNA, Complementary - analysis Gene Expression Gene Expression Profiling - methods Humans Methods Mice Nucleic Acid Hybridization - methods Oligonucleotide Array Sequence Analysis - methods Polymerase Chain Reaction Reference Standards RNA, Messenger - analysis Spleen - chemistry T-Lymphocytes - chemistry Transcription, Genetic |
title | A novel, high-performance random array platform for quantitative gene expression profiling |
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