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 inPloS one Vol. 11; no. 7; p. e0159138
Main Authors Delfani, Payam, Dexlin Mellby, Linda, Nordström, Malin, Holmér, Andreas, Ohlsson, Mattias, Borrebaeck, Carl A. K., Wingren, Christer
Format Journal Article
LanguageEnglish
Published United States Public Library of Science 14.07.2016
Public Library of Science (PLoS)
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Online AccessGet full text
ISSN1932-6203
1932-6203
DOI10.1371/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.
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
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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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Snippet In the quest for deciphering disease-associated biomarkers, high-performing tools for multiplexed protein expression profiling of crude clinical samples will...
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StartPage e0159138
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
URI https://www.ncbi.nlm.nih.gov/pubmed/27414037
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https://pubmed.ncbi.nlm.nih.gov/PMC4944972
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