Advanced

Technical advances of the recombinant antibody microarray technology platform for clinical immunoproteomics

Delfani, Payam LU ; Dexlin Mellby, Linda LU ; Nordström, Malin LU ; Holmér, Andreas LU ; Ohlsson, Mattias LU ; Borrebaeck, Carl A K LU and Wingren, Christer LU (2016) In PLoS ONE 11(7).
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... (More)

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.

(Less)
Please use this url to cite or link to this publication:
author
organization
publishing date
type
Contribution to journal
publication status
published
subject
in
PLoS ONE
volume
11
issue
7
publisher
Public Library of Science
external identifiers
  • scopus:84978505031
  • wos:000379579500087
ISSN
1932-6203
DOI
10.1371/journal.pone.0159138
language
English
LU publication?
yes
id
7cd3167a-0938-49e1-89dd-7f7bd8b818c6
date added to LUP
2016-08-02 10:29:15
date last changed
2017-07-23 05:16:37
@article{7cd3167a-0938-49e1-89dd-7f7bd8b818c6,
  abstract     = {<p>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.</p>},
  articleno    = {e0159138},
  author       = {Delfani, Payam and Dexlin Mellby, Linda and Nordström, Malin and Holmér, Andreas and Ohlsson, Mattias and Borrebaeck, Carl A K and Wingren, Christer},
  issn         = {1932-6203},
  language     = {eng},
  month        = {07},
  number       = {7},
  publisher    = {Public Library of Science},
  series       = {PLoS ONE},
  title        = {Technical advances of the recombinant antibody microarray technology platform for clinical immunoproteomics},
  url          = {http://dx.doi.org/10.1371/journal.pone.0159138},
  volume       = {11},
  year         = {2016},
}