Standardization developments for large scale biobanks in smoking related diseases - a model system for blood sample processing and storage
Background Biobank samples stored in biobanks give researchers and respiratory healthcare institutions access to datasets of analytes valuable for both diagnostic and research practices. The usefulness of these samples in clinical decision-making is highly dependent on their quality and integrity. N...
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Veröffentlicht in: | Translational respiratory medicine 2013-08, Vol.1 (1), p.14-14, Article 14 |
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creator | Malm, Johan Fehniger, Thomas E Danmyr, Pia Végvári, Ákos Welinder, Charlotte Lindberg, Henrik Upton, Paul Carter, Stephanie Appelqvist, Roger Sjödin, Karin Wieslander, Elisabet Dahlbäck, Magnus Rezeli, Melinda Erlinge, David Marko-Varga, György |
description | Background
Biobank samples stored in biobanks give researchers and respiratory healthcare institutions access to datasets of analytes valuable for both diagnostic and research practices. The usefulness of these samples in clinical decision-making is highly dependent on their quality and integrity. New procedures that better preserve sample integrity and reduce degradation are being developed to meet the needs of both present and future biobanking. Hereby we present an automatic sample workflow scheme that is designed to handle high numbers of blood samples.
Methods
Blood fractions are aliquoted, heat sealed using novel technology, and stored in 384 tube high-density sample arrays.
Results
The newly developed 384 biobank rack system is especially suited for preserving identical small aliquots. We provide data on robotic processing of clinical samples at −80°C, following initial processing, analysis and shipping between laboratories throughout Europe. Subsequent to unpacking, re-sorting, and storage at these sites, the samples have been returned for analysis. Biomarker analysis of 13 common tests in the clinical chemistry unit of the hospital provides evidence of qualitative and stable logistics using the 384-sample tube system.
Conclusions
This technology development allows rapid access to a given sample in the frozen archive while maintaining individual sample integrity with sample tube confinement and quality management. |
doi_str_mv | 10.1186/2213-0802-1-14 |
format | Article |
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Biobank samples stored in biobanks give researchers and respiratory healthcare institutions access to datasets of analytes valuable for both diagnostic and research practices. The usefulness of these samples in clinical decision-making is highly dependent on their quality and integrity. New procedures that better preserve sample integrity and reduce degradation are being developed to meet the needs of both present and future biobanking. Hereby we present an automatic sample workflow scheme that is designed to handle high numbers of blood samples.
Methods
Blood fractions are aliquoted, heat sealed using novel technology, and stored in 384 tube high-density sample arrays.
Results
The newly developed 384 biobank rack system is especially suited for preserving identical small aliquots. We provide data on robotic processing of clinical samples at −80°C, following initial processing, analysis and shipping between laboratories throughout Europe. Subsequent to unpacking, re-sorting, and storage at these sites, the samples have been returned for analysis. Biomarker analysis of 13 common tests in the clinical chemistry unit of the hospital provides evidence of qualitative and stable logistics using the 384-sample tube system.
Conclusions
This technology development allows rapid access to a given sample in the frozen archive while maintaining individual sample integrity with sample tube confinement and quality management.</description><identifier>ISSN: 2213-0802</identifier><identifier>EISSN: 2213-0802</identifier><identifier>DOI: 10.1186/2213-0802-1-14</identifier><identifier>PMID: 27234395</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Biomedical and Life Sciences ; Biomedicine</subject><ispartof>Translational respiratory medicine, 2013-08, Vol.1 (1), p.14-14, Article 14</ispartof><rights>Malm et al.; licensee Springer. 2013. This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</rights><rights>The Author(s) 2013</rights><rights>Malm et al.; licensee Springer. 2013</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3034-284c79a102a5da40a956364922b873be50deb6384c3b25ae1036549cce4381503</citedby><cites>FETCH-LOGICAL-c3034-284c79a102a5da40a956364922b873be50deb6384c3b25ae1036549cce4381503</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/PMC6733428/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC6733428/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,724,777,781,882,27905,27906,53772,53774</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/27234395$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Malm, Johan</creatorcontrib><creatorcontrib>Fehniger, Thomas E</creatorcontrib><creatorcontrib>Danmyr, Pia</creatorcontrib><creatorcontrib>Végvári, Ákos</creatorcontrib><creatorcontrib>Welinder, Charlotte</creatorcontrib><creatorcontrib>Lindberg, Henrik</creatorcontrib><creatorcontrib>Upton, Paul</creatorcontrib><creatorcontrib>Carter, Stephanie</creatorcontrib><creatorcontrib>Appelqvist, Roger</creatorcontrib><creatorcontrib>Sjödin, Karin</creatorcontrib><creatorcontrib>Wieslander, Elisabet</creatorcontrib><creatorcontrib>Dahlbäck, Magnus</creatorcontrib><creatorcontrib>Rezeli, Melinda</creatorcontrib><creatorcontrib>Erlinge, David</creatorcontrib><creatorcontrib>Marko-Varga, György</creatorcontrib><title>Standardization developments for large scale biobanks in smoking related diseases - a model system for blood sample processing and storage</title><title>Translational respiratory medicine</title><addtitle>Transl Respir Med</addtitle><addtitle>Transl Respir Med</addtitle><description>Background
Biobank samples stored in biobanks give researchers and respiratory healthcare institutions access to datasets of analytes valuable for both diagnostic and research practices. The usefulness of these samples in clinical decision-making is highly dependent on their quality and integrity. New procedures that better preserve sample integrity and reduce degradation are being developed to meet the needs of both present and future biobanking. Hereby we present an automatic sample workflow scheme that is designed to handle high numbers of blood samples.
Methods
Blood fractions are aliquoted, heat sealed using novel technology, and stored in 384 tube high-density sample arrays.
Results
The newly developed 384 biobank rack system is especially suited for preserving identical small aliquots. We provide data on robotic processing of clinical samples at −80°C, following initial processing, analysis and shipping between laboratories throughout Europe. Subsequent to unpacking, re-sorting, and storage at these sites, the samples have been returned for analysis. Biomarker analysis of 13 common tests in the clinical chemistry unit of the hospital provides evidence of qualitative and stable logistics using the 384-sample tube system.
Conclusions
This technology development allows rapid access to a given sample in the frozen archive while maintaining individual sample integrity with sample tube confinement and quality management.</description><subject>Biomedical and Life Sciences</subject><subject>Biomedicine</subject><issn>2213-0802</issn><issn>2213-0802</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><sourceid>C6C</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><recordid>eNptkUtv1TAQRiMEolXpliWyxIZNWr_y2iChqjykSl0Aa2sSzw1uHTt4ciuVn8CvxuktVxfUlS3P8Zn5NEXxWvAzIdr6XEqhSt5yWYpS6GfF8f7h-cH9qDgluuGcC65Up7qXxZFspNKqq46L318XCBaSdb9gcTEwi3fo4zxhWIhtYmIe0oiMBvDIehd7CLfEXGA0xVsXRpbQw4KWWUcIhMRKBmyKFj2je1pwerD0PkbLCKY5a-YUByRaf-fmjJaYYMRXxYsNeMLTx_Ok-P7x8tvF5_Lq-tOXiw9X5aC40qVs9dB0ILiEyoLm0FW1qnUnZd82qseKW-xrlSnVywowp64r3Q0DatWKiquT4v3OO2_7Ce2QkybwZk5ugnRvIjjzbyW4H2aMd6ZulNKyzYJ3j4IUf26RFjM5GtB7CBi3ZETTSdXkWXVG3_6H3sRtCjmeEXWVXW33IDzbUUOKRAk3-2EEN-umzbpMsy7TCCNW7ZvDCHv8714zcL4DKJfCiOmg79PKPwOxs44</recordid><startdate>20130830</startdate><enddate>20130830</enddate><creator>Malm, Johan</creator><creator>Fehniger, Thomas E</creator><creator>Danmyr, Pia</creator><creator>Végvári, Ákos</creator><creator>Welinder, Charlotte</creator><creator>Lindberg, Henrik</creator><creator>Upton, Paul</creator><creator>Carter, Stephanie</creator><creator>Appelqvist, Roger</creator><creator>Sjödin, Karin</creator><creator>Wieslander, Elisabet</creator><creator>Dahlbäck, Magnus</creator><creator>Rezeli, Melinda</creator><creator>Erlinge, David</creator><creator>Marko-Varga, György</creator><general>Springer Berlin Heidelberg</general><general>Springer Nature B.V</general><scope>C6C</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7RV</scope><scope>7X7</scope><scope>7XB</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>KB0</scope><scope>M0S</scope><scope>NAPCQ</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20130830</creationdate><title>Standardization developments for large scale biobanks in smoking related diseases - a model system for blood sample processing and storage</title><author>Malm, Johan ; Fehniger, Thomas E ; Danmyr, Pia ; Végvári, Ákos ; Welinder, Charlotte ; Lindberg, Henrik ; Upton, Paul ; Carter, Stephanie ; Appelqvist, Roger ; Sjödin, Karin ; Wieslander, Elisabet ; Dahlbäck, Magnus ; Rezeli, Melinda ; Erlinge, David ; Marko-Varga, György</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3034-284c79a102a5da40a956364922b873be50deb6384c3b25ae1036549cce4381503</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Biomedical and Life Sciences</topic><topic>Biomedicine</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Malm, Johan</creatorcontrib><creatorcontrib>Fehniger, Thomas E</creatorcontrib><creatorcontrib>Danmyr, Pia</creatorcontrib><creatorcontrib>Végvári, Ákos</creatorcontrib><creatorcontrib>Welinder, Charlotte</creatorcontrib><creatorcontrib>Lindberg, Henrik</creatorcontrib><creatorcontrib>Upton, Paul</creatorcontrib><creatorcontrib>Carter, Stephanie</creatorcontrib><creatorcontrib>Appelqvist, Roger</creatorcontrib><creatorcontrib>Sjödin, Karin</creatorcontrib><creatorcontrib>Wieslander, Elisabet</creatorcontrib><creatorcontrib>Dahlbäck, Magnus</creatorcontrib><creatorcontrib>Rezeli, Melinda</creatorcontrib><creatorcontrib>Erlinge, David</creatorcontrib><creatorcontrib>Marko-Varga, György</creatorcontrib><collection>Springer Nature OA Free Journals</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Nursing & Allied Health Database</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Nursing & Allied Health Premium</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>PubMed Central (Full Participant titles)</collection><jtitle>Translational respiratory medicine</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Malm, Johan</au><au>Fehniger, Thomas E</au><au>Danmyr, Pia</au><au>Végvári, Ákos</au><au>Welinder, Charlotte</au><au>Lindberg, Henrik</au><au>Upton, Paul</au><au>Carter, Stephanie</au><au>Appelqvist, Roger</au><au>Sjödin, Karin</au><au>Wieslander, Elisabet</au><au>Dahlbäck, Magnus</au><au>Rezeli, Melinda</au><au>Erlinge, David</au><au>Marko-Varga, György</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Standardization developments for large scale biobanks in smoking related diseases - a model system for blood sample processing and storage</atitle><jtitle>Translational respiratory medicine</jtitle><stitle>Transl Respir Med</stitle><addtitle>Transl Respir Med</addtitle><date>2013-08-30</date><risdate>2013</risdate><volume>1</volume><issue>1</issue><spage>14</spage><epage>14</epage><pages>14-14</pages><artnum>14</artnum><issn>2213-0802</issn><eissn>2213-0802</eissn><abstract>Background
Biobank samples stored in biobanks give researchers and respiratory healthcare institutions access to datasets of analytes valuable for both diagnostic and research practices. The usefulness of these samples in clinical decision-making is highly dependent on their quality and integrity. New procedures that better preserve sample integrity and reduce degradation are being developed to meet the needs of both present and future biobanking. Hereby we present an automatic sample workflow scheme that is designed to handle high numbers of blood samples.
Methods
Blood fractions are aliquoted, heat sealed using novel technology, and stored in 384 tube high-density sample arrays.
Results
The newly developed 384 biobank rack system is especially suited for preserving identical small aliquots. We provide data on robotic processing of clinical samples at −80°C, following initial processing, analysis and shipping between laboratories throughout Europe. Subsequent to unpacking, re-sorting, and storage at these sites, the samples have been returned for analysis. Biomarker analysis of 13 common tests in the clinical chemistry unit of the hospital provides evidence of qualitative and stable logistics using the 384-sample tube system.
Conclusions
This technology development allows rapid access to a given sample in the frozen archive while maintaining individual sample integrity with sample tube confinement and quality management.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><pmid>27234395</pmid><doi>10.1186/2213-0802-1-14</doi><tpages>1</tpages><oa>free_for_read</oa></addata></record> |
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source | Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; PubMed Central Open Access; PubMed Central |
subjects | Biomedical and Life Sciences Biomedicine |
title | Standardization developments for large scale biobanks in smoking related diseases - a model system for blood sample processing and storage |
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