Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Delfani, Payam, Dexlin Mellby, Linda, Nordström, Malin, Holmér, Andreas, Ohlsson, Mattias, Borrebaeck, Carl A. K., Wingren, Christer
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4944972/
https://www.ncbi.nlm.nih.gov/pubmed/27414037
http://dx.doi.org/10.1371/journal.pone.0159138
_version_ 1782442843314323456
author Delfani, Payam
Dexlin Mellby, Linda
Nordström, Malin
Holmér, Andreas
Ohlsson, Mattias
Borrebaeck, Carl A. K.
Wingren, Christer
author_facet Delfani, Payam
Dexlin Mellby, Linda
Nordström, Malin
Holmér, Andreas
Ohlsson, Mattias
Borrebaeck, Carl A. K.
Wingren, Christer
author_sort Delfani, Payam
collection PubMed
description 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.
format Online
Article
Text
id pubmed-4944972
institution National Center for Biotechnology Information
language English
publishDate 2016
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-49449722016-08-08 Technical Advances of the Recombinant Antibody Microarray Technology Platform for Clinical Immunoproteomics Delfani, Payam Dexlin Mellby, Linda Nordström, Malin Holmér, Andreas Ohlsson, Mattias Borrebaeck, Carl A. K. Wingren, Christer PLoS One Research Article 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. Public Library of Science 2016-07-14 /pmc/articles/PMC4944972/ /pubmed/27414037 http://dx.doi.org/10.1371/journal.pone.0159138 Text en © 2016 Delfani et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Delfani, Payam
Dexlin Mellby, Linda
Nordström, Malin
Holmér, Andreas
Ohlsson, Mattias
Borrebaeck, Carl A. K.
Wingren, Christer
Technical Advances of the Recombinant Antibody Microarray Technology Platform for Clinical Immunoproteomics
title Technical Advances of the Recombinant Antibody Microarray Technology Platform for Clinical Immunoproteomics
title_full Technical Advances of the Recombinant Antibody Microarray Technology Platform for Clinical Immunoproteomics
title_fullStr Technical Advances of the Recombinant Antibody Microarray Technology Platform for Clinical Immunoproteomics
title_full_unstemmed Technical Advances of the Recombinant Antibody Microarray Technology Platform for Clinical Immunoproteomics
title_short Technical Advances of the Recombinant Antibody Microarray Technology Platform for Clinical Immunoproteomics
title_sort technical advances of the recombinant antibody microarray technology platform for clinical immunoproteomics
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4944972/
https://www.ncbi.nlm.nih.gov/pubmed/27414037
http://dx.doi.org/10.1371/journal.pone.0159138
work_keys_str_mv AT delfanipayam technicaladvancesoftherecombinantantibodymicroarraytechnologyplatformforclinicalimmunoproteomics
AT dexlinmellbylinda technicaladvancesoftherecombinantantibodymicroarraytechnologyplatformforclinicalimmunoproteomics
AT nordstrommalin technicaladvancesoftherecombinantantibodymicroarraytechnologyplatformforclinicalimmunoproteomics
AT holmerandreas technicaladvancesoftherecombinantantibodymicroarraytechnologyplatformforclinicalimmunoproteomics
AT ohlssonmattias technicaladvancesoftherecombinantantibodymicroarraytechnologyplatformforclinicalimmunoproteomics
AT borrebaeckcarlak technicaladvancesoftherecombinantantibodymicroarraytechnologyplatformforclinicalimmunoproteomics
AT wingrenchrister technicaladvancesoftherecombinantantibodymicroarraytechnologyplatformforclinicalimmunoproteomics