Technical advances of the recombinant antibody microarray technology platform for clinical immunoproteomics
(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.
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- author
- 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
- organization
- publishing date
- 2016-07-01
- type
- Contribution to journal
- publication status
- published
- subject
- in
- PLoS ONE
- volume
- 11
- issue
- 7
- article number
- e0159138
- publisher
- Public Library of Science (PLoS)
- external identifiers
-
- pmid:27414037
- wos:000379579500087
- scopus:84978505031
- 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
- 2024-07-26 16:11:30
@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>}}, 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 (PLoS)}}, 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}}, doi = {{10.1371/journal.pone.0159138}}, volume = {{11}}, year = {{2016}}, }