Sample size determination in clinical proteomic profiling experiments using mass spectrometry for class comparison
Mass spectrometric profiling approaches such as MALDI-TOF and SELDI-TOF are increasingly being used in disease marker discovery, particularly in the lower molecular weight proteome. However, little consideration has been given to the issue of sample size in experimental design. The aim of this study...
Gespeichert in:
Veröffentlicht in: | Proteomics (Weinheim) 2009, Vol.9 (1), p.74-86 |
---|---|
Hauptverfasser: | , , , , , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 86 |
---|---|
container_issue | 1 |
container_start_page | 74 |
container_title | Proteomics (Weinheim) |
container_volume | 9 |
creator | Cairns, David A Barrett, Jennifer H Billingham, Lucinda J Stanley, Anthea J Xinarianos, George Field, John K Johnson, Phillip J Selby, Peter J Banks, Rosamonde E |
description | Mass spectrometric profiling approaches such as MALDI-TOF and SELDI-TOF are increasingly being used in disease marker discovery, particularly in the lower molecular weight proteome. However, little consideration has been given to the issue of sample size in experimental design. The aim of this study was to develop a protocol for the use of sample size calculations in proteomic profiling studies using MS. These sample size calculations can be based on a simple linear mixed model which allows the inclusion of estimates of biological and technical variation inherent in the experiment. The use of a pilot experiment to estimate these components of variance is investigated and is shown to work well when compared with larger studies. Examination of data from a number of studies using different sample types and different chromatographic surfaces shows the need for sample- and preparation-specific sample size calculations. |
doi_str_mv | 10.1002/pmic.200800417 |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_66803635</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>20386803</sourcerecordid><originalsourceid>FETCH-LOGICAL-c4287-3b3fd618a06051b0807d9fcbbe70bbc3cb97b35ad7cab1f41e3146e7f19fbf2e3</originalsourceid><addsrcrecordid>eNqFkU1v1DAQhi0EoqVw5Qi-wG2XmTiJkyNa8VGpCKTSs2U748oojoOdFSy_Hke7Wrj1NKPRMx_vvIy9RNgiQPVuDt5uK4AOoEb5iF1ii82m71p8fM4bccGe5fwDAGXXy6fsAntoBNbNJUu3Oswj8ez_EB9ooRT8pBcfJ-4nbkc_eatHPqe4UCy71sz5Ur7n9Hum5ANNS-b7vFaCzpnnmeySYqAlHbiLqQxZyzaGWSef4_ScPXF6zPTiFK_Y3ccP33efNzdfP13v3t9sbF11ciOMcEOLnYYWGjRFoRx6Z40hCcZYYU0vjWj0IK026Gqkoqgl6bB3xlUkrtjb49xy8s895UUFny2No54o7rNq2w5EK5oHwQpEt7IF3B5Bm2LOiZyaywN0OigEtdqhVjvU2Y7S8Oo0eW8CDf_w0_8L8OYE6Fz-7JKerM9nrkLoZddVheuP3C8_0uGBterbl-vd_0e8PvY6HZW-Lx6ou9sKUAA2RVUtxV--grCr</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>20386803</pqid></control><display><type>article</type><title>Sample size determination in clinical proteomic profiling experiments using mass spectrometry for class comparison</title><source>MEDLINE</source><source>Wiley Online Library Journals Frontfile Complete</source><creator>Cairns, David A ; Barrett, Jennifer H ; Billingham, Lucinda J ; Stanley, Anthea J ; Xinarianos, George ; Field, John K ; Johnson, Phillip J ; Selby, Peter J ; Banks, Rosamonde E</creator><creatorcontrib>Cairns, David A ; Barrett, Jennifer H ; Billingham, Lucinda J ; Stanley, Anthea J ; Xinarianos, George ; Field, John K ; Johnson, Phillip J ; Selby, Peter J ; Banks, Rosamonde E</creatorcontrib><description>Mass spectrometric profiling approaches such as MALDI-TOF and SELDI-TOF are increasingly being used in disease marker discovery, particularly in the lower molecular weight proteome. However, little consideration has been given to the issue of sample size in experimental design. The aim of this study was to develop a protocol for the use of sample size calculations in proteomic profiling studies using MS. These sample size calculations can be based on a simple linear mixed model which allows the inclusion of estimates of biological and technical variation inherent in the experiment. The use of a pilot experiment to estimate these components of variance is investigated and is shown to work well when compared with larger studies. Examination of data from a number of studies using different sample types and different chromatographic surfaces shows the need for sample- and preparation-specific sample size calculations.</description><identifier>ISSN: 1615-9853</identifier><identifier>EISSN: 1615-9861</identifier><identifier>DOI: 10.1002/pmic.200800417</identifier><identifier>PMID: 19053145</identifier><language>eng</language><publisher>Weinheim: Wiley-VCH Verlag</publisher><subject>Analysis of Variance ; Analytical, structural and metabolic biochemistry ; Applied microbiology ; Biological and medical sciences ; Blood Proteins - analysis ; False discovery rate ; Fundamental and applied biological sciences. Psychology ; Humans ; Mass Spectrometry ; Microbiology ; Miscellaneous ; Plasma - chemistry ; Power ; Protein Array Analysis - methods ; Proteins ; Proteome - analysis ; Research Design ; Sample Size ; Type I error ; Vaccines, antisera, therapeutical immunoglobulins and monoclonal antibodies (general aspects)</subject><ispartof>Proteomics (Weinheim), 2009, Vol.9 (1), p.74-86</ispartof><rights>Copyright © 2009 WILEY‐VCH Verlag GmbH & Co. KGaA, Weinheim</rights><rights>2009 INIST-CNRS</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4287-3b3fd618a06051b0807d9fcbbe70bbc3cb97b35ad7cab1f41e3146e7f19fbf2e3</citedby><cites>FETCH-LOGICAL-c4287-3b3fd618a06051b0807d9fcbbe70bbc3cb97b35ad7cab1f41e3146e7f19fbf2e3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2Fpmic.200800417$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Fpmic.200800417$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,776,780,1411,4010,27900,27901,27902,45550,45551</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=21097882$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/19053145$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Cairns, David A</creatorcontrib><creatorcontrib>Barrett, Jennifer H</creatorcontrib><creatorcontrib>Billingham, Lucinda J</creatorcontrib><creatorcontrib>Stanley, Anthea J</creatorcontrib><creatorcontrib>Xinarianos, George</creatorcontrib><creatorcontrib>Field, John K</creatorcontrib><creatorcontrib>Johnson, Phillip J</creatorcontrib><creatorcontrib>Selby, Peter J</creatorcontrib><creatorcontrib>Banks, Rosamonde E</creatorcontrib><title>Sample size determination in clinical proteomic profiling experiments using mass spectrometry for class comparison</title><title>Proteomics (Weinheim)</title><addtitle>Proteomics</addtitle><description>Mass spectrometric profiling approaches such as MALDI-TOF and SELDI-TOF are increasingly being used in disease marker discovery, particularly in the lower molecular weight proteome. However, little consideration has been given to the issue of sample size in experimental design. The aim of this study was to develop a protocol for the use of sample size calculations in proteomic profiling studies using MS. These sample size calculations can be based on a simple linear mixed model which allows the inclusion of estimates of biological and technical variation inherent in the experiment. The use of a pilot experiment to estimate these components of variance is investigated and is shown to work well when compared with larger studies. Examination of data from a number of studies using different sample types and different chromatographic surfaces shows the need for sample- and preparation-specific sample size calculations.</description><subject>Analysis of Variance</subject><subject>Analytical, structural and metabolic biochemistry</subject><subject>Applied microbiology</subject><subject>Biological and medical sciences</subject><subject>Blood Proteins - analysis</subject><subject>False discovery rate</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>Humans</subject><subject>Mass Spectrometry</subject><subject>Microbiology</subject><subject>Miscellaneous</subject><subject>Plasma - chemistry</subject><subject>Power</subject><subject>Protein Array Analysis - methods</subject><subject>Proteins</subject><subject>Proteome - analysis</subject><subject>Research Design</subject><subject>Sample Size</subject><subject>Type I error</subject><subject>Vaccines, antisera, therapeutical immunoglobulins and monoclonal antibodies (general aspects)</subject><issn>1615-9853</issn><issn>1615-9861</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2009</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqFkU1v1DAQhi0EoqVw5Qi-wG2XmTiJkyNa8VGpCKTSs2U748oojoOdFSy_Hke7Wrj1NKPRMx_vvIy9RNgiQPVuDt5uK4AOoEb5iF1ii82m71p8fM4bccGe5fwDAGXXy6fsAntoBNbNJUu3Oswj8ez_EB9ooRT8pBcfJ-4nbkc_eatHPqe4UCy71sz5Ur7n9Hum5ANNS-b7vFaCzpnnmeySYqAlHbiLqQxZyzaGWSef4_ScPXF6zPTiFK_Y3ccP33efNzdfP13v3t9sbF11ciOMcEOLnYYWGjRFoRx6Z40hCcZYYU0vjWj0IK026Gqkoqgl6bB3xlUkrtjb49xy8s895UUFny2No54o7rNq2w5EK5oHwQpEt7IF3B5Bm2LOiZyaywN0OigEtdqhVjvU2Y7S8Oo0eW8CDf_w0_8L8OYE6Fz-7JKerM9nrkLoZddVheuP3C8_0uGBterbl-vd_0e8PvY6HZW-Lx6ou9sKUAA2RVUtxV--grCr</recordid><startdate>2009</startdate><enddate>2009</enddate><creator>Cairns, David A</creator><creator>Barrett, Jennifer H</creator><creator>Billingham, Lucinda J</creator><creator>Stanley, Anthea J</creator><creator>Xinarianos, George</creator><creator>Field, John K</creator><creator>Johnson, Phillip J</creator><creator>Selby, Peter J</creator><creator>Banks, Rosamonde E</creator><general>Wiley-VCH Verlag</general><general>WILEY‐VCH Verlag</general><general>Wiley-VCH</general><scope>FBQ</scope><scope>IQODW</scope><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>7QO</scope><scope>8FD</scope><scope>FR3</scope><scope>P64</scope><scope>7X8</scope></search><sort><creationdate>2009</creationdate><title>Sample size determination in clinical proteomic profiling experiments using mass spectrometry for class comparison</title><author>Cairns, David A ; Barrett, Jennifer H ; Billingham, Lucinda J ; Stanley, Anthea J ; Xinarianos, George ; Field, John K ; Johnson, Phillip J ; Selby, Peter J ; Banks, Rosamonde E</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4287-3b3fd618a06051b0807d9fcbbe70bbc3cb97b35ad7cab1f41e3146e7f19fbf2e3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2009</creationdate><topic>Analysis of Variance</topic><topic>Analytical, structural and metabolic biochemistry</topic><topic>Applied microbiology</topic><topic>Biological and medical sciences</topic><topic>Blood Proteins - analysis</topic><topic>False discovery rate</topic><topic>Fundamental and applied biological sciences. Psychology</topic><topic>Humans</topic><topic>Mass Spectrometry</topic><topic>Microbiology</topic><topic>Miscellaneous</topic><topic>Plasma - chemistry</topic><topic>Power</topic><topic>Protein Array Analysis - methods</topic><topic>Proteins</topic><topic>Proteome - analysis</topic><topic>Research Design</topic><topic>Sample Size</topic><topic>Type I error</topic><topic>Vaccines, antisera, therapeutical immunoglobulins and monoclonal antibodies (general aspects)</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Cairns, David A</creatorcontrib><creatorcontrib>Barrett, Jennifer H</creatorcontrib><creatorcontrib>Billingham, Lucinda J</creatorcontrib><creatorcontrib>Stanley, Anthea J</creatorcontrib><creatorcontrib>Xinarianos, George</creatorcontrib><creatorcontrib>Field, John K</creatorcontrib><creatorcontrib>Johnson, Phillip J</creatorcontrib><creatorcontrib>Selby, Peter J</creatorcontrib><creatorcontrib>Banks, Rosamonde E</creatorcontrib><collection>AGRIS</collection><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Biotechnology Research Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>Proteomics (Weinheim)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Cairns, David A</au><au>Barrett, Jennifer H</au><au>Billingham, Lucinda J</au><au>Stanley, Anthea J</au><au>Xinarianos, George</au><au>Field, John K</au><au>Johnson, Phillip J</au><au>Selby, Peter J</au><au>Banks, Rosamonde E</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Sample size determination in clinical proteomic profiling experiments using mass spectrometry for class comparison</atitle><jtitle>Proteomics (Weinheim)</jtitle><addtitle>Proteomics</addtitle><date>2009</date><risdate>2009</risdate><volume>9</volume><issue>1</issue><spage>74</spage><epage>86</epage><pages>74-86</pages><issn>1615-9853</issn><eissn>1615-9861</eissn><abstract>Mass spectrometric profiling approaches such as MALDI-TOF and SELDI-TOF are increasingly being used in disease marker discovery, particularly in the lower molecular weight proteome. However, little consideration has been given to the issue of sample size in experimental design. The aim of this study was to develop a protocol for the use of sample size calculations in proteomic profiling studies using MS. These sample size calculations can be based on a simple linear mixed model which allows the inclusion of estimates of biological and technical variation inherent in the experiment. The use of a pilot experiment to estimate these components of variance is investigated and is shown to work well when compared with larger studies. Examination of data from a number of studies using different sample types and different chromatographic surfaces shows the need for sample- and preparation-specific sample size calculations.</abstract><cop>Weinheim</cop><pub>Wiley-VCH Verlag</pub><pmid>19053145</pmid><doi>10.1002/pmic.200800417</doi><tpages>13</tpages></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1615-9853 |
ispartof | Proteomics (Weinheim), 2009, Vol.9 (1), p.74-86 |
issn | 1615-9853 1615-9861 |
language | eng |
recordid | cdi_proquest_miscellaneous_66803635 |
source | MEDLINE; Wiley Online Library Journals Frontfile Complete |
subjects | Analysis of Variance Analytical, structural and metabolic biochemistry Applied microbiology Biological and medical sciences Blood Proteins - analysis False discovery rate Fundamental and applied biological sciences. Psychology Humans Mass Spectrometry Microbiology Miscellaneous Plasma - chemistry Power Protein Array Analysis - methods Proteins Proteome - analysis Research Design Sample Size Type I error Vaccines, antisera, therapeutical immunoglobulins and monoclonal antibodies (general aspects) |
title | Sample size determination in clinical proteomic profiling experiments using mass spectrometry for class comparison |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-15T23%3A51%3A22IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Sample%20size%20determination%20in%20clinical%20proteomic%20profiling%20experiments%20using%20mass%20spectrometry%20for%20class%20comparison&rft.jtitle=Proteomics%20(Weinheim)&rft.au=Cairns,%20David%20A&rft.date=2009&rft.volume=9&rft.issue=1&rft.spage=74&rft.epage=86&rft.pages=74-86&rft.issn=1615-9853&rft.eissn=1615-9861&rft_id=info:doi/10.1002/pmic.200800417&rft_dat=%3Cproquest_cross%3E20386803%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=20386803&rft_id=info:pmid/19053145&rfr_iscdi=true |