Development of protein microarray technology to monitor biomarkers of rheumatoid arthritis disease
Most biological processes are mediated by complex networks of molecular interactions involving proteins. The analysis of protein expression in biological samples is especially important in the identification and monitoring of biomarkers for disease progression and therapeutic endpoints. In this pape...
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description | Most biological processes are mediated by complex networks of molecular interactions involving proteins. The analysis of protein expression in biological samples is especially important in the identification and monitoring of biomarkers for disease progression and therapeutic endpoints. In this paper, the development of a protein microarray format for multiplexed quantitative analysis of several potential markers for rheumatoid arthritis (RA) is described. Development of a high-performance protein microarray system depends on several key parameters such as surface chemistry, capture agents, immobilization technology, and methods used for signal detection and quantification. Several technical possibilities were investigated and compared: poly-L-lysine versus self-assembled monolayer of octadecyl phosphoric acid ester for surface chemistries; noncontact piezoelectric versus contact printing technology for antibody deposition; CCD camera capture versus fluorescent scanning for image detection; and the concentration of coating antibody. On the basis of reproducibility, signal-to-noise ratio, and sensitivity we have selected self-assembled monolayer, noncontact piezoelectric printer, and high-read-out fluorescence scanning for our microarray format. This format was used to perform multiplexed quantitative analysis of several potential markers of disease progression of rheumatoid arthritis: IL-1beta, IL-6, IL-8, MCP-1, and SAA. Some assays, such as MCP-1, provided a working range that covered physiologically relevant concentrations. Other assays, such as IL-6 and SAA, lacked sensitivity or were too sensitive for measuring biological concentrations, respectively. The results described demonstrate the applicability of protein microarrays to monitor RA markers; however, sandwich assay methodologies need to be further optimized to measure the appropriate biological ranges of these markers on one chip. |
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The analysis of protein expression in biological samples is especially important in the identification and monitoring of biomarkers for disease progression and therapeutic endpoints. In this paper, the development of a protein microarray format for multiplexed quantitative analysis of several potential markers for rheumatoid arthritis (RA) is described. Development of a high-performance protein microarray system depends on several key parameters such as surface chemistry, capture agents, immobilization technology, and methods used for signal detection and quantification. Several technical possibilities were investigated and compared: poly-L-lysine versus self-assembled monolayer of octadecyl phosphoric acid ester for surface chemistries; noncontact piezoelectric versus contact printing technology for antibody deposition; CCD camera capture versus fluorescent scanning for image detection; and the concentration of coating antibody. On the basis of reproducibility, signal-to-noise ratio, and sensitivity we have selected self-assembled monolayer, noncontact piezoelectric printer, and high-read-out fluorescence scanning for our microarray format. This format was used to perform multiplexed quantitative analysis of several potential markers of disease progression of rheumatoid arthritis: IL-1beta, IL-6, IL-8, MCP-1, and SAA. Some assays, such as MCP-1, provided a working range that covered physiologically relevant concentrations. Other assays, such as IL-6 and SAA, lacked sensitivity or were too sensitive for measuring biological concentrations, respectively. The results described demonstrate the applicability of protein microarrays to monitor RA markers; however, sandwich assay methodologies need to be further optimized to measure the appropriate biological ranges of these markers on one chip.</description><identifier>ISSN: 0742-2091</identifier><identifier>EISSN: 1573-6822</identifier><identifier>DOI: 10.1023/A:1024729526867</identifier><identifier>PMID: 12945746</identifier><language>eng</language><publisher>Netherlands: Springer Nature B.V</publisher><subject>Analytical chemistry ; Arthritis ; Arthritis, Rheumatoid - immunology ; Arthritis, Rheumatoid - metabolism ; Autoimmune diseases ; Biological samples ; Biomarkers ; Biomarkers - analysis ; Disease Progression ; Dose-Response Relationship, Immunologic ; Humans ; Protein Array Analysis - instrumentation ; Protein Array Analysis - methods ; Proteins - analysis ; Reproducibility of Results ; Rheumatoid arthritis ; Sensitivity and Specificity ; Surface chemistry ; Surface Properties ; Technological change</subject><ispartof>Cell biology and toxicology, 2003-06, Vol.19 (3), p.189-202</ispartof><rights>Kluwer Academic Publishers 2003</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c311t-d5a2a0349353cee5fb13c113aa3fce442f01a92369822a0d24c0f369808a026b3</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27923,27924</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/12945746$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Urbanowska, T</creatorcontrib><creatorcontrib>Mangialaio, S</creatorcontrib><creatorcontrib>Hartmann, C</creatorcontrib><creatorcontrib>Legay, F</creatorcontrib><title>Development of protein microarray technology to monitor biomarkers of rheumatoid arthritis disease</title><title>Cell biology and toxicology</title><addtitle>Cell Biol Toxicol</addtitle><description>Most biological processes are mediated by complex networks of molecular interactions involving proteins. The analysis of protein expression in biological samples is especially important in the identification and monitoring of biomarkers for disease progression and therapeutic endpoints. In this paper, the development of a protein microarray format for multiplexed quantitative analysis of several potential markers for rheumatoid arthritis (RA) is described. Development of a high-performance protein microarray system depends on several key parameters such as surface chemistry, capture agents, immobilization technology, and methods used for signal detection and quantification. Several technical possibilities were investigated and compared: poly-L-lysine versus self-assembled monolayer of octadecyl phosphoric acid ester for surface chemistries; noncontact piezoelectric versus contact printing technology for antibody deposition; CCD camera capture versus fluorescent scanning for image detection; and the concentration of coating antibody. On the basis of reproducibility, signal-to-noise ratio, and sensitivity we have selected self-assembled monolayer, noncontact piezoelectric printer, and high-read-out fluorescence scanning for our microarray format. This format was used to perform multiplexed quantitative analysis of several potential markers of disease progression of rheumatoid arthritis: IL-1beta, IL-6, IL-8, MCP-1, and SAA. Some assays, such as MCP-1, provided a working range that covered physiologically relevant concentrations. Other assays, such as IL-6 and SAA, lacked sensitivity or were too sensitive for measuring biological concentrations, respectively. The results described demonstrate the applicability of protein microarrays to monitor RA markers; however, sandwich assay methodologies need to be further optimized to measure the appropriate biological ranges of these markers on one chip.</description><subject>Analytical chemistry</subject><subject>Arthritis</subject><subject>Arthritis, Rheumatoid - immunology</subject><subject>Arthritis, Rheumatoid - metabolism</subject><subject>Autoimmune diseases</subject><subject>Biological samples</subject><subject>Biomarkers</subject><subject>Biomarkers - analysis</subject><subject>Disease Progression</subject><subject>Dose-Response Relationship, Immunologic</subject><subject>Humans</subject><subject>Protein Array Analysis - instrumentation</subject><subject>Protein Array Analysis - methods</subject><subject>Proteins - analysis</subject><subject>Reproducibility of Results</subject><subject>Rheumatoid arthritis</subject><subject>Sensitivity and Specificity</subject><subject>Surface chemistry</subject><subject>Surface Properties</subject><subject>Technological change</subject><issn>0742-2091</issn><issn>1573-6822</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2003</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNqFkD1PwzAQhi0EoqUws6GIgS3g78RsVfmUKrHAHDnOhbokcbEdpP57XFEWFqb3TnrupPdB6Jzga4Ipu5nfpuAFVYLKUhYHaEpEwXJZUnqIprjgNKdYkQk6CWGNMZakEMdoQqjiouByiuo7-ILObXoYYubabONdBDtkvTXeae_1NotgVoPr3HsaXda7wUbns9q6XvsP8GF35lcw9jo622Tax5W30YassQF0gFN01OouwNk-Z-jt4f518ZQvXx6fF_NlbhghMW-EphozrphgBkC0NWGGEKY1aw1wTltMtKJMqlRO44Zyg9vdhkuNqazZDF39_E0dPkcIseptMNB1egA3hqpgMilT_F-QFKXgnMgEXv4B1270QypRJXlcCaFIgi720Fj30FQbb5OYbfXrmH0DDYB-gg</recordid><startdate>200306</startdate><enddate>200306</enddate><creator>Urbanowska, T</creator><creator>Mangialaio, S</creator><creator>Hartmann, C</creator><creator>Legay, F</creator><general>Springer Nature B.V</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>3V.</scope><scope>7RV</scope><scope>7TK</scope><scope>7TM</scope><scope>7U7</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>88I</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB0</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M2P</scope><scope>M7P</scope><scope>NAPCQ</scope><scope>P64</scope><scope>PATMY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PYCSY</scope><scope>Q9U</scope><scope>RC3</scope><scope>7QO</scope><scope>7X8</scope></search><sort><creationdate>200306</creationdate><title>Development of protein microarray technology to monitor biomarkers of rheumatoid arthritis disease</title><author>Urbanowska, T ; Mangialaio, S ; Hartmann, C ; Legay, F</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c311t-d5a2a0349353cee5fb13c113aa3fce442f01a92369822a0d24c0f369808a026b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2003</creationdate><topic>Analytical chemistry</topic><topic>Arthritis</topic><topic>Arthritis, Rheumatoid - immunology</topic><topic>Arthritis, Rheumatoid - metabolism</topic><topic>Autoimmune diseases</topic><topic>Biological samples</topic><topic>Biomarkers</topic><topic>Biomarkers - analysis</topic><topic>Disease Progression</topic><topic>Dose-Response Relationship, Immunologic</topic><topic>Humans</topic><topic>Protein Array Analysis - instrumentation</topic><topic>Protein Array Analysis - methods</topic><topic>Proteins - analysis</topic><topic>Reproducibility of Results</topic><topic>Rheumatoid arthritis</topic><topic>Sensitivity and Specificity</topic><topic>Surface chemistry</topic><topic>Surface Properties</topic><topic>Technological change</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Urbanowska, T</creatorcontrib><creatorcontrib>Mangialaio, S</creatorcontrib><creatorcontrib>Hartmann, C</creatorcontrib><creatorcontrib>Legay, F</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>ProQuest Central (Corporate)</collection><collection>Nursing & Allied Health Database</collection><collection>Neurosciences Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Toxicology Abstracts</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Science Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</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 One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Science Database</collection><collection>Biological Science Database</collection><collection>Nursing & Allied Health Premium</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environmental Science Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Environmental Science Collection</collection><collection>ProQuest Central Basic</collection><collection>Genetics Abstracts</collection><collection>Biotechnology Research Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>Cell biology and toxicology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Urbanowska, T</au><au>Mangialaio, S</au><au>Hartmann, C</au><au>Legay, F</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Development of protein microarray technology to monitor biomarkers of rheumatoid arthritis disease</atitle><jtitle>Cell biology and toxicology</jtitle><addtitle>Cell Biol Toxicol</addtitle><date>2003-06</date><risdate>2003</risdate><volume>19</volume><issue>3</issue><spage>189</spage><epage>202</epage><pages>189-202</pages><issn>0742-2091</issn><eissn>1573-6822</eissn><abstract>Most biological processes are mediated by complex networks of molecular interactions involving proteins. The analysis of protein expression in biological samples is especially important in the identification and monitoring of biomarkers for disease progression and therapeutic endpoints. In this paper, the development of a protein microarray format for multiplexed quantitative analysis of several potential markers for rheumatoid arthritis (RA) is described. Development of a high-performance protein microarray system depends on several key parameters such as surface chemistry, capture agents, immobilization technology, and methods used for signal detection and quantification. Several technical possibilities were investigated and compared: poly-L-lysine versus self-assembled monolayer of octadecyl phosphoric acid ester for surface chemistries; noncontact piezoelectric versus contact printing technology for antibody deposition; CCD camera capture versus fluorescent scanning for image detection; and the concentration of coating antibody. On the basis of reproducibility, signal-to-noise ratio, and sensitivity we have selected self-assembled monolayer, noncontact piezoelectric printer, and high-read-out fluorescence scanning for our microarray format. This format was used to perform multiplexed quantitative analysis of several potential markers of disease progression of rheumatoid arthritis: IL-1beta, IL-6, IL-8, MCP-1, and SAA. Some assays, such as MCP-1, provided a working range that covered physiologically relevant concentrations. Other assays, such as IL-6 and SAA, lacked sensitivity or were too sensitive for measuring biological concentrations, respectively. The results described demonstrate the applicability of protein microarrays to monitor RA markers; however, sandwich assay methodologies need to be further optimized to measure the appropriate biological ranges of these markers on one chip.</abstract><cop>Netherlands</cop><pub>Springer Nature B.V</pub><pmid>12945746</pmid><doi>10.1023/A:1024729526867</doi><tpages>14</tpages></addata></record> |
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subjects | Analytical chemistry Arthritis Arthritis, Rheumatoid - immunology Arthritis, Rheumatoid - metabolism Autoimmune diseases Biological samples Biomarkers Biomarkers - analysis Disease Progression Dose-Response Relationship, Immunologic Humans Protein Array Analysis - instrumentation Protein Array Analysis - methods Proteins - analysis Reproducibility of Results Rheumatoid arthritis Sensitivity and Specificity Surface chemistry Surface Properties Technological change |
title | Development of protein microarray technology to monitor biomarkers of rheumatoid arthritis disease |
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