Microfluidic high-throughput reverse-transcription quantitative PCR analysis of liver gene expression in lactating animals

We have evaluated a microfluidic lab-on-chip quantitative reverse transcription (RT) quantitative PCR (qPCR) method by measuring the expression of key actors of liver metabolism in lactating cattle. Animals in the early and in the late lactation phases were chosen because of the extreme adaptations...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Mikrochimica acta (1966) 2014-10, Vol.181 (13-14), p.1725-1732
Hauptverfasser: Viturro, Enrique, Altenhofer, Christian, Zölch, Benjamin, Burgmaier, Anja, Riedmaier, Irmgard, Pfaffl, Michael W.
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 1732
container_issue 13-14
container_start_page 1725
container_title Mikrochimica acta (1966)
container_volume 181
creator Viturro, Enrique
Altenhofer, Christian
Zölch, Benjamin
Burgmaier, Anja
Riedmaier, Irmgard
Pfaffl, Michael W.
description We have evaluated a microfluidic lab-on-chip quantitative reverse transcription (RT) quantitative PCR (qPCR) method by measuring the expression of key actors of liver metabolism in lactating cattle. Animals in the early and in the late lactation phases were chosen because of the extreme adaptations in gene expression expected to occur. During the lactation cycle, 28 out of 48 genes were significantly regulated, notably in the same direction as previously shown by other techniques. This demonstrates that this high-throughput platform represents an attractive alternative to microarrays due to its ease of application, rapidity and lower costs. A set of 13 genes was identified—in combination with a dynamic PCA algorithm—that allowed the clearest separation between the two physiologically different groups. This paves the way for classification and diagnosis of animals in different metabolic situations by a reliable microfluidic RT-qPCR assay. Figure To determine the pattern of genes, which visualizes the separation of animals in the two lactation stages best, dynamic PCA was employed. A pattern of 13 genes was identified. Black dots represent the samples obtained from animals in early lactation and white dots represent samples from animals in late lactation.
doi_str_mv 10.1007/s00604-014-1205-x
format Article
fullrecord <record><control><sourceid>gale_cross</sourceid><recordid>TN_cdi_gale_infotracacademiconefile_A715061685</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A715061685</galeid><sourcerecordid>A715061685</sourcerecordid><originalsourceid>FETCH-LOGICAL-c397t-35f7fce4f0ce6a16f3a82503d9cb0a31165a11af1ba61d1435d87d053c72f2393</originalsourceid><addsrcrecordid>eNp9kNtKAzEQhoMoWA8P4F1eIHVms0naSymeQFFEr0OaTbYpa7Ymu6X69KbUa5mLgeH_hpmPkCuEKQKo6wwgoWaANcMKBNsdkQnWXDIBih-TCUAlGZeqOiVnOa8BUMmqnpCf52BT77sxNMHSVWhXbFilfmxXm3GgyW1dyo4NycRsU9gMoY_0azRxCIMZwtbR18UbNdF03zlk2nvalWGirYuOut0muZz3SIi0M3aPxLbEw6fp8gU58aW5y79-Tj7ubt8XD-zp5f5xcfPELJ-rgXHhlbeu9mCdNCg9N7NKAG_mdgmGI0phEI3HpZHYlJ9FM1MNCG5V5Ss-5-dketjbms7pEH1f3rGlGvcZbB-dD2V-o1CARDkTBcADUMzknJzXm1QuTt8aQe9t64NtXWzrvW29K0x1YHLJxtYlve7HVLzkf6Bfkd2GGA</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>Microfluidic high-throughput reverse-transcription quantitative PCR analysis of liver gene expression in lactating animals</title><source>SpringerLink Journals - AutoHoldings</source><creator>Viturro, Enrique ; Altenhofer, Christian ; Zölch, Benjamin ; Burgmaier, Anja ; Riedmaier, Irmgard ; Pfaffl, Michael W.</creator><creatorcontrib>Viturro, Enrique ; Altenhofer, Christian ; Zölch, Benjamin ; Burgmaier, Anja ; Riedmaier, Irmgard ; Pfaffl, Michael W.</creatorcontrib><description>We have evaluated a microfluidic lab-on-chip quantitative reverse transcription (RT) quantitative PCR (qPCR) method by measuring the expression of key actors of liver metabolism in lactating cattle. Animals in the early and in the late lactation phases were chosen because of the extreme adaptations in gene expression expected to occur. During the lactation cycle, 28 out of 48 genes were significantly regulated, notably in the same direction as previously shown by other techniques. This demonstrates that this high-throughput platform represents an attractive alternative to microarrays due to its ease of application, rapidity and lower costs. A set of 13 genes was identified—in combination with a dynamic PCA algorithm—that allowed the clearest separation between the two physiologically different groups. This paves the way for classification and diagnosis of animals in different metabolic situations by a reliable microfluidic RT-qPCR assay. Figure To determine the pattern of genes, which visualizes the separation of animals in the two lactation stages best, dynamic PCA was employed. A pattern of 13 genes was identified. Black dots represent the samples obtained from animals in early lactation and white dots represent samples from animals in late lactation.</description><identifier>ISSN: 0026-3672</identifier><identifier>EISSN: 1436-5073</identifier><identifier>DOI: 10.1007/s00604-014-1205-x</identifier><language>eng</language><publisher>Vienna: Springer Vienna</publisher><subject>Analytical Chemistry ; Characterization and Evaluation of Materials ; Chemistry ; Chemistry and Materials Science ; Genes ; Genetic aspects ; Genetic transcription ; Microengineering ; Microfluidics ; Nanochemistry ; Nanotechnology ; Original Paper ; Physiological aspects ; Polymerase chain reaction</subject><ispartof>Mikrochimica acta (1966), 2014-10, Vol.181 (13-14), p.1725-1732</ispartof><rights>Springer-Verlag Wien 2014</rights><rights>COPYRIGHT 2014 Springer</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c397t-35f7fce4f0ce6a16f3a82503d9cb0a31165a11af1ba61d1435d87d053c72f2393</citedby><cites>FETCH-LOGICAL-c397t-35f7fce4f0ce6a16f3a82503d9cb0a31165a11af1ba61d1435d87d053c72f2393</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s00604-014-1205-x$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00604-014-1205-x$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27924,27925,41488,42557,51319</link.rule.ids></links><search><creatorcontrib>Viturro, Enrique</creatorcontrib><creatorcontrib>Altenhofer, Christian</creatorcontrib><creatorcontrib>Zölch, Benjamin</creatorcontrib><creatorcontrib>Burgmaier, Anja</creatorcontrib><creatorcontrib>Riedmaier, Irmgard</creatorcontrib><creatorcontrib>Pfaffl, Michael W.</creatorcontrib><title>Microfluidic high-throughput reverse-transcription quantitative PCR analysis of liver gene expression in lactating animals</title><title>Mikrochimica acta (1966)</title><addtitle>Microchim Acta</addtitle><description>We have evaluated a microfluidic lab-on-chip quantitative reverse transcription (RT) quantitative PCR (qPCR) method by measuring the expression of key actors of liver metabolism in lactating cattle. Animals in the early and in the late lactation phases were chosen because of the extreme adaptations in gene expression expected to occur. During the lactation cycle, 28 out of 48 genes were significantly regulated, notably in the same direction as previously shown by other techniques. This demonstrates that this high-throughput platform represents an attractive alternative to microarrays due to its ease of application, rapidity and lower costs. A set of 13 genes was identified—in combination with a dynamic PCA algorithm—that allowed the clearest separation between the two physiologically different groups. This paves the way for classification and diagnosis of animals in different metabolic situations by a reliable microfluidic RT-qPCR assay. Figure To determine the pattern of genes, which visualizes the separation of animals in the two lactation stages best, dynamic PCA was employed. A pattern of 13 genes was identified. Black dots represent the samples obtained from animals in early lactation and white dots represent samples from animals in late lactation.</description><subject>Analytical Chemistry</subject><subject>Characterization and Evaluation of Materials</subject><subject>Chemistry</subject><subject>Chemistry and Materials Science</subject><subject>Genes</subject><subject>Genetic aspects</subject><subject>Genetic transcription</subject><subject>Microengineering</subject><subject>Microfluidics</subject><subject>Nanochemistry</subject><subject>Nanotechnology</subject><subject>Original Paper</subject><subject>Physiological aspects</subject><subject>Polymerase chain reaction</subject><issn>0026-3672</issn><issn>1436-5073</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><recordid>eNp9kNtKAzEQhoMoWA8P4F1eIHVms0naSymeQFFEr0OaTbYpa7Ymu6X69KbUa5mLgeH_hpmPkCuEKQKo6wwgoWaANcMKBNsdkQnWXDIBih-TCUAlGZeqOiVnOa8BUMmqnpCf52BT77sxNMHSVWhXbFilfmxXm3GgyW1dyo4NycRsU9gMoY_0azRxCIMZwtbR18UbNdF03zlk2nvalWGirYuOut0muZz3SIi0M3aPxLbEw6fp8gU58aW5y79-Tj7ubt8XD-zp5f5xcfPELJ-rgXHhlbeu9mCdNCg9N7NKAG_mdgmGI0phEI3HpZHYlJ9FM1MNCG5V5Ss-5-dketjbms7pEH1f3rGlGvcZbB-dD2V-o1CARDkTBcADUMzknJzXm1QuTt8aQe9t64NtXWzrvW29K0x1YHLJxtYlve7HVLzkf6Bfkd2GGA</recordid><startdate>20141001</startdate><enddate>20141001</enddate><creator>Viturro, Enrique</creator><creator>Altenhofer, Christian</creator><creator>Zölch, Benjamin</creator><creator>Burgmaier, Anja</creator><creator>Riedmaier, Irmgard</creator><creator>Pfaffl, Michael W.</creator><general>Springer Vienna</general><general>Springer</general><scope>AAYXX</scope><scope>CITATION</scope></search><sort><creationdate>20141001</creationdate><title>Microfluidic high-throughput reverse-transcription quantitative PCR analysis of liver gene expression in lactating animals</title><author>Viturro, Enrique ; Altenhofer, Christian ; Zölch, Benjamin ; Burgmaier, Anja ; Riedmaier, Irmgard ; Pfaffl, Michael W.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c397t-35f7fce4f0ce6a16f3a82503d9cb0a31165a11af1ba61d1435d87d053c72f2393</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Analytical Chemistry</topic><topic>Characterization and Evaluation of Materials</topic><topic>Chemistry</topic><topic>Chemistry and Materials Science</topic><topic>Genes</topic><topic>Genetic aspects</topic><topic>Genetic transcription</topic><topic>Microengineering</topic><topic>Microfluidics</topic><topic>Nanochemistry</topic><topic>Nanotechnology</topic><topic>Original Paper</topic><topic>Physiological aspects</topic><topic>Polymerase chain reaction</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Viturro, Enrique</creatorcontrib><creatorcontrib>Altenhofer, Christian</creatorcontrib><creatorcontrib>Zölch, Benjamin</creatorcontrib><creatorcontrib>Burgmaier, Anja</creatorcontrib><creatorcontrib>Riedmaier, Irmgard</creatorcontrib><creatorcontrib>Pfaffl, Michael W.</creatorcontrib><collection>CrossRef</collection><jtitle>Mikrochimica acta (1966)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Viturro, Enrique</au><au>Altenhofer, Christian</au><au>Zölch, Benjamin</au><au>Burgmaier, Anja</au><au>Riedmaier, Irmgard</au><au>Pfaffl, Michael W.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Microfluidic high-throughput reverse-transcription quantitative PCR analysis of liver gene expression in lactating animals</atitle><jtitle>Mikrochimica acta (1966)</jtitle><stitle>Microchim Acta</stitle><date>2014-10-01</date><risdate>2014</risdate><volume>181</volume><issue>13-14</issue><spage>1725</spage><epage>1732</epage><pages>1725-1732</pages><issn>0026-3672</issn><eissn>1436-5073</eissn><abstract>We have evaluated a microfluidic lab-on-chip quantitative reverse transcription (RT) quantitative PCR (qPCR) method by measuring the expression of key actors of liver metabolism in lactating cattle. Animals in the early and in the late lactation phases were chosen because of the extreme adaptations in gene expression expected to occur. During the lactation cycle, 28 out of 48 genes were significantly regulated, notably in the same direction as previously shown by other techniques. This demonstrates that this high-throughput platform represents an attractive alternative to microarrays due to its ease of application, rapidity and lower costs. A set of 13 genes was identified—in combination with a dynamic PCA algorithm—that allowed the clearest separation between the two physiologically different groups. This paves the way for classification and diagnosis of animals in different metabolic situations by a reliable microfluidic RT-qPCR assay. Figure To determine the pattern of genes, which visualizes the separation of animals in the two lactation stages best, dynamic PCA was employed. A pattern of 13 genes was identified. Black dots represent the samples obtained from animals in early lactation and white dots represent samples from animals in late lactation.</abstract><cop>Vienna</cop><pub>Springer Vienna</pub><doi>10.1007/s00604-014-1205-x</doi><tpages>8</tpages></addata></record>
fulltext fulltext
identifier ISSN: 0026-3672
ispartof Mikrochimica acta (1966), 2014-10, Vol.181 (13-14), p.1725-1732
issn 0026-3672
1436-5073
language eng
recordid cdi_gale_infotracacademiconefile_A715061685
source SpringerLink Journals - AutoHoldings
subjects Analytical Chemistry
Characterization and Evaluation of Materials
Chemistry
Chemistry and Materials Science
Genes
Genetic aspects
Genetic transcription
Microengineering
Microfluidics
Nanochemistry
Nanotechnology
Original Paper
Physiological aspects
Polymerase chain reaction
title Microfluidic high-throughput reverse-transcription quantitative PCR analysis of liver gene expression in lactating animals
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-06T21%3A27%3A27IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Microfluidic%20high-throughput%20reverse-transcription%20quantitative%20PCR%20analysis%20of%20liver%20gene%20expression%20in%20lactating%20animals&rft.jtitle=Mikrochimica%20acta%20(1966)&rft.au=Viturro,%20Enrique&rft.date=2014-10-01&rft.volume=181&rft.issue=13-14&rft.spage=1725&rft.epage=1732&rft.pages=1725-1732&rft.issn=0026-3672&rft.eissn=1436-5073&rft_id=info:doi/10.1007/s00604-014-1205-x&rft_dat=%3Cgale_cross%3EA715061685%3C/gale_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rft_galeid=A715061685&rfr_iscdi=true