Technical Advances of the Recombinant Antibody Microarray Technology Platform for Clinical Immunoproteomics
In the quest for deciphering disease-associated biomarkers, high-performing tools for multiplexed protein expression profiling of crude clinical samples will be crucial. Affinity proteomics, mainly represented by antibody-based microarrays, have during recent years been established as a proteomic to...
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| Published in | PloS one Vol. 11; no. 7; p. e0159138 |
|---|---|
| Main Authors | , , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
United States
Public Library of Science
14.07.2016
Public Library of Science (PLoS) |
| Subjects | |
| Online Access | Get full text |
| ISSN | 1932-6203 1932-6203 |
| DOI | 10.1371/journal.pone.0159138 |
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| Abstract | In the quest for deciphering disease-associated biomarkers, high-performing tools for multiplexed protein expression profiling of crude clinical samples will be crucial. Affinity proteomics, mainly represented by antibody-based microarrays, have during recent years been established as a proteomic tool providing unique opportunities for parallelized protein expression profiling. But despite the progress, several main technical features and assay procedures remains to be (fully) resolved. Among these issues, the handling of protein microarray data, i.e. the biostatistics parts, is one of the key features to solve. In this study, we have therefore further optimized, validated, and standardized our in-house designed recombinant antibody microarray technology platform. To this end, we addressed the main remaining technical issues (e.g. antibody quality, array production, sample labelling, and selected assay conditions) and most importantly key biostatistics subjects (e.g. array data pre-processing and biomarker panel condensation). This represents one of the first antibody array studies in which these key biostatistics subjects have been studied in detail. Here, we thus present the next generation of the recombinant antibody microarray technology platform designed for clinical immunoproteomics. |
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| AbstractList | In the quest for deciphering disease-associated biomarkers, high-performing tools for multiplexed protein expression profiling of crude clinical samples will be crucial. Affinity proteomics, mainly represented by antibody-based microarrays, have during recent years been established as a proteomic tool providing unique opportunities for parallelized protein expression profiling. But despite the progress, several main technical features and assay procedures remains to be (fully) resolved. Among these issues, the handling of protein microarray data, i.e. the biostatistics parts, is one of the key features to solve. In this study, we have therefore further optimized, validated, and standardized our in-house designed recombinant antibody microarray technology platform. To this end, we addressed the main remaining technical issues (e.g. antibody quality, array production, sample labelling, and selected assay conditions) and most importantly key biostatistics subjects (e.g. array data pre-processing and biomarker panel condensation). This represents one of the first antibody array studies in which these key biostatistics subjects have been studied in detail. Here, we thus present the next generation of the recombinant antibody microarray technology platform designed for clinical immunoproteomics. |
| Audience | Academic |
| Author | Nordström, Malin Ohlsson, Mattias Holmér, Andreas Delfani, Payam Borrebaeck, Carl A. K. Wingren, Christer Dexlin Mellby, Linda |
| AuthorAffiliation | 3 Computational Biology & Biological Physics, Department of Astronomy and Theoretical Physics, Lund University, Lund, Sweden National Central University, TAIWAN 2 Immunovia AB, Lund, Sweden 1 Department of Immunotechnology and CREATE Health, Lund University, Medicon Village, Lund, Sweden |
| AuthorAffiliation_xml | – name: National Central University, TAIWAN – name: 1 Department of Immunotechnology and CREATE Health, Lund University, Medicon Village, Lund, Sweden – name: 3 Computational Biology & Biological Physics, Department of Astronomy and Theoretical Physics, Lund University, Lund, Sweden – name: 2 Immunovia AB, Lund, Sweden |
| Author_xml | – sequence: 1 givenname: Payam surname: Delfani fullname: Delfani, Payam – sequence: 2 givenname: Linda surname: Dexlin Mellby fullname: Dexlin Mellby, Linda – sequence: 3 givenname: Malin surname: Nordström fullname: Nordström, Malin – sequence: 4 givenname: Andreas surname: Holmér fullname: Holmér, Andreas – sequence: 5 givenname: Mattias surname: Ohlsson fullname: Ohlsson, Mattias – sequence: 6 givenname: Carl A. K. surname: Borrebaeck fullname: Borrebaeck, Carl A. K. – sequence: 7 givenname: Christer surname: Wingren fullname: Wingren, Christer |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/27414037$$D View this record in MEDLINE/PubMed |
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| Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 Conceived and designed the experiments: PD LDM MO CAKB CW. Performed the experiments: PD LDM MN AH. Analyzed the data: PD LDM MO CW. Contributed reagents/materials/analysis tools: PD MN AH MO. Wrote the paper: PD LDM MN AH MO CAKB CW. Competing Interests: Linda Dexlin Mellby, Malin Nordström, and Andreas Holmér are employed by Immunovia that is a diagnostic company using array technologies for biomarker discovery. This does not alter the authors' adherence to PLOS ONE policies on sharing data and materials. |
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| SubjectTerms | Antibodies - immunology Antibody microarrays Biological markers Biology Biology and Life Sciences Biomarkers Biomarkers - analysis Biostatistics Condensates Data processing Design Engineering and Technology Gene expression High-Throughput Screening Assays - methods High-Throughput Screening Assays - standards High-Throughput Screening Assays - statistics & numerical data Humans Immunoassay Immunogenetic Phenomena Immunoglobulins Labeling Labelling Life sciences Medical and Health Sciences Medical Biotechnology Medicin och hälsovetenskap Medicinsk bioteknologi Methods Physical Sciences Physiological aspects Profiling Protein Array Analysis - methods Protein Array Analysis - standards Protein Array Analysis - statistics & numerical data Protein arrays Protein expression Proteins Proteomics Proteomics - methods Proteomics - standards Proteomics - statistics & numerical data Quality Control Recombinant Proteins - immunology Research and Analysis Methods Technology |
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| Title | Technical Advances of the Recombinant Antibody Microarray Technology Platform for Clinical Immunoproteomics |
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