A practical platform for blood biomarker study by using global gene expression profiling of peripheral whole blood
Although microarray technology has become the most common method for studying global gene expression, a plethora of technical factors across the experiment contribute to the variable of genome gene expression profiling using peripheral whole blood. A practical platform needs to be established in ord...
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creator | Tian, Ze Palmer, Nathan Schmid, Patrick Yao, Hui Galdzicki, Michal Berger, Bonnie Wu, Erxi Kohane, Isaac S |
description | Although microarray technology has become the most common method for studying global gene expression, a plethora of technical factors across the experiment contribute to the variable of genome gene expression profiling using peripheral whole blood. A practical platform needs to be established in order to obtain reliable and reproducible data to meet clinical requirements for biomarker study.
We applied peripheral whole blood samples with globin reduction and performed genome-wide transcriptome analysis using Illumina BeadChips. Real-time PCR was subsequently used to evaluate the quality of array data and elucidate the mode in which hemoglobin interferes in gene expression profiling. We demonstrated that, when applied in the context of standard microarray processing procedures, globin reduction results in a consistent and significant increase in the quality of beadarray data. When compared to their pre-globin reduction counterparts, post-globin reduction samples show improved detection statistics, lowered variance and increased sensitivity. More importantly, gender gene separation is remarkably clearer in post-globin reduction samples than in pre-globin reduction samples. Our study suggests that the poor data obtained from pre-globin reduction samples is the result of the high concentration of hemoglobin derived from red blood cells either interfering with target mRNA binding or giving the pseudo binding background signal.
We therefore recommend the combination of performing globin mRNA reduction in peripheral whole blood samples and hybridizing on Illumina BeadChips as the practical approach for biomarker study. |
doi_str_mv | 10.1371/journal.pone.0005157 |
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We applied peripheral whole blood samples with globin reduction and performed genome-wide transcriptome analysis using Illumina BeadChips. Real-time PCR was subsequently used to evaluate the quality of array data and elucidate the mode in which hemoglobin interferes in gene expression profiling. We demonstrated that, when applied in the context of standard microarray processing procedures, globin reduction results in a consistent and significant increase in the quality of beadarray data. When compared to their pre-globin reduction counterparts, post-globin reduction samples show improved detection statistics, lowered variance and increased sensitivity. More importantly, gender gene separation is remarkably clearer in post-globin reduction samples than in pre-globin reduction samples. Our study suggests that the poor data obtained from pre-globin reduction samples is the result of the high concentration of hemoglobin derived from red blood cells either interfering with target mRNA binding or giving the pseudo binding background signal.
We therefore recommend the combination of performing globin mRNA reduction in peripheral whole blood samples and hybridizing on Illumina BeadChips as the practical approach for biomarker study.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0005157</identifier><identifier>PMID: 19381341</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Apoptosis ; Artificial intelligence ; Binding ; Bioinformatics ; Biology ; Biomarkers ; Biomarkers - blood ; Blood ; Blood cells ; Cell Biology/Gene Expression ; Cell cycle ; Children & youth ; Computer science ; DNA microarrays ; Erythrocytes ; Gene expression ; Gene Expression Profiling ; Genes ; Genetics and Genomics/Gene Expression ; Genomes ; Genomics ; Globins - genetics ; Health sciences ; Hemoglobin ; Humans ; Hybridization ; Hypothesis testing ; Informatics ; Laboratories ; Mathematical models ; Medical schools ; Molecular Biology/Bioinformatics ; Noise ; Oligonucleotide Array Sequence Analysis ; Pharmacology/Personalized Medicine ; Polymerase Chain Reaction ; Reduction ; RNA ; RNA, Messenger - genetics ; Statistical analysis ; Statistical methods</subject><ispartof>PloS one, 2009-04, Vol.4 (4), p.e5157-e5157</ispartof><rights>COPYRIGHT 2009 Public Library of Science</rights><rights>2009 Tian et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License (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>Tian et al. 2009</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c7027-55013bbe93d6b1f9fee8c55ae705f66be4373508798bfd860e118a5b6c67c4dc3</citedby><cites>FETCH-LOGICAL-c7027-55013bbe93d6b1f9fee8c55ae705f66be4373508798bfd860e118a5b6c67c4dc3</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/PMC2668177/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC2668177/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,864,885,2102,2928,23866,27924,27925,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/19381341$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Zaas, Aimee K.</contributor><creatorcontrib>Tian, Ze</creatorcontrib><creatorcontrib>Palmer, Nathan</creatorcontrib><creatorcontrib>Schmid, Patrick</creatorcontrib><creatorcontrib>Yao, Hui</creatorcontrib><creatorcontrib>Galdzicki, Michal</creatorcontrib><creatorcontrib>Berger, Bonnie</creatorcontrib><creatorcontrib>Wu, Erxi</creatorcontrib><creatorcontrib>Kohane, Isaac S</creatorcontrib><title>A practical platform for blood biomarker study by using global gene expression profiling of peripheral whole blood</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>Although microarray technology has become the most common method for studying global gene expression, a plethora of technical factors across the experiment contribute to the variable of genome gene expression profiling using peripheral whole blood. A practical platform needs to be established in order to obtain reliable and reproducible data to meet clinical requirements for biomarker study.
We applied peripheral whole blood samples with globin reduction and performed genome-wide transcriptome analysis using Illumina BeadChips. Real-time PCR was subsequently used to evaluate the quality of array data and elucidate the mode in which hemoglobin interferes in gene expression profiling. We demonstrated that, when applied in the context of standard microarray processing procedures, globin reduction results in a consistent and significant increase in the quality of beadarray data. When compared to their pre-globin reduction counterparts, post-globin reduction samples show improved detection statistics, lowered variance and increased sensitivity. More importantly, gender gene separation is remarkably clearer in post-globin reduction samples than in pre-globin reduction samples. Our study suggests that the poor data obtained from pre-globin reduction samples is the result of the high concentration of hemoglobin derived from red blood cells either interfering with target mRNA binding or giving the pseudo binding background signal.
We therefore recommend the combination of performing globin mRNA reduction in peripheral whole blood samples and hybridizing on Illumina BeadChips as the practical approach for biomarker study.</description><subject>Apoptosis</subject><subject>Artificial intelligence</subject><subject>Binding</subject><subject>Bioinformatics</subject><subject>Biology</subject><subject>Biomarkers</subject><subject>Biomarkers - blood</subject><subject>Blood</subject><subject>Blood cells</subject><subject>Cell Biology/Gene Expression</subject><subject>Cell cycle</subject><subject>Children & youth</subject><subject>Computer science</subject><subject>DNA microarrays</subject><subject>Erythrocytes</subject><subject>Gene expression</subject><subject>Gene Expression Profiling</subject><subject>Genes</subject><subject>Genetics and Genomics/Gene Expression</subject><subject>Genomes</subject><subject>Genomics</subject><subject>Globins - genetics</subject><subject>Health sciences</subject><subject>Hemoglobin</subject><subject>Humans</subject><subject>Hybridization</subject><subject>Hypothesis testing</subject><subject>Informatics</subject><subject>Laboratories</subject><subject>Mathematical models</subject><subject>Medical schools</subject><subject>Molecular Biology/Bioinformatics</subject><subject>Noise</subject><subject>Oligonucleotide Array Sequence Analysis</subject><subject>Pharmacology/Personalized Medicine</subject><subject>Polymerase Chain Reaction</subject><subject>Reduction</subject><subject>RNA</subject><subject>RNA, Messenger - 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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>Tian, Ze</au><au>Palmer, Nathan</au><au>Schmid, Patrick</au><au>Yao, Hui</au><au>Galdzicki, Michal</au><au>Berger, Bonnie</au><au>Wu, Erxi</au><au>Kohane, Isaac S</au><au>Zaas, Aimee K.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A practical platform for blood biomarker study by using global gene expression profiling of peripheral whole blood</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2009-04-17</date><risdate>2009</risdate><volume>4</volume><issue>4</issue><spage>e5157</spage><epage>e5157</epage><pages>e5157-e5157</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Although microarray technology has become the most common method for studying global gene expression, a plethora of technical factors across the experiment contribute to the variable of genome gene expression profiling using peripheral whole blood. A practical platform needs to be established in order to obtain reliable and reproducible data to meet clinical requirements for biomarker study.
We applied peripheral whole blood samples with globin reduction and performed genome-wide transcriptome analysis using Illumina BeadChips. Real-time PCR was subsequently used to evaluate the quality of array data and elucidate the mode in which hemoglobin interferes in gene expression profiling. We demonstrated that, when applied in the context of standard microarray processing procedures, globin reduction results in a consistent and significant increase in the quality of beadarray data. When compared to their pre-globin reduction counterparts, post-globin reduction samples show improved detection statistics, lowered variance and increased sensitivity. More importantly, gender gene separation is remarkably clearer in post-globin reduction samples than in pre-globin reduction samples. Our study suggests that the poor data obtained from pre-globin reduction samples is the result of the high concentration of hemoglobin derived from red blood cells either interfering with target mRNA binding or giving the pseudo binding background signal.
We therefore recommend the combination of performing globin mRNA reduction in peripheral whole blood samples and hybridizing on Illumina BeadChips as the practical approach for biomarker study.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>19381341</pmid><doi>10.1371/journal.pone.0005157</doi><tpages>e5157</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Apoptosis Artificial intelligence Binding Bioinformatics Biology Biomarkers Biomarkers - blood Blood Blood cells Cell Biology/Gene Expression Cell cycle Children & youth Computer science DNA microarrays Erythrocytes Gene expression Gene Expression Profiling Genes Genetics and Genomics/Gene Expression Genomes Genomics Globins - genetics Health sciences Hemoglobin Humans Hybridization Hypothesis testing Informatics Laboratories Mathematical models Medical schools Molecular Biology/Bioinformatics Noise Oligonucleotide Array Sequence Analysis Pharmacology/Personalized Medicine Polymerase Chain Reaction Reduction RNA RNA, Messenger - genetics Statistical analysis Statistical methods |
title | A practical platform for blood biomarker study by using global gene expression profiling of peripheral whole blood |
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