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Microarray R-based analysis of complex lysate experiments with MIRACLE

Motivation: Reverse-phase protein arrays (RPPAs) allow sensitive quantification of relative protein abundance in thousands of samples in parallel. Typical challenges involved in this technology are antibody selection, sample preparation and optimization of staining conditions. The issue of combining...

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Autores principales: List, Markus, Block, Ines, Pedersen, Marlene Lemvig, Christiansen, Helle, Schmidt, Steffen, Thomassen, Mads, Tan, Qihua, Baumbach, Jan, Mollenhauer, Jan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4147925/
https://www.ncbi.nlm.nih.gov/pubmed/25161257
http://dx.doi.org/10.1093/bioinformatics/btu473
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author List, Markus
Block, Ines
Pedersen, Marlene Lemvig
Christiansen, Helle
Schmidt, Steffen
Thomassen, Mads
Tan, Qihua
Baumbach, Jan
Mollenhauer, Jan
author_facet List, Markus
Block, Ines
Pedersen, Marlene Lemvig
Christiansen, Helle
Schmidt, Steffen
Thomassen, Mads
Tan, Qihua
Baumbach, Jan
Mollenhauer, Jan
author_sort List, Markus
collection PubMed
description Motivation: Reverse-phase protein arrays (RPPAs) allow sensitive quantification of relative protein abundance in thousands of samples in parallel. Typical challenges involved in this technology are antibody selection, sample preparation and optimization of staining conditions. The issue of combining effective sample management and data analysis, however, has been widely neglected. Results: This motivated us to develop MIRACLE, a comprehensive and user-friendly web application bridging the gap between spotting and array analysis by conveniently keeping track of sample information. Data processing includes correction of staining bias, estimation of protein concentration from response curves, normalization for total protein amount per sample and statistical evaluation. Established analysis methods have been integrated with MIRACLE, offering experimental scientists an end-to-end solution for sample management and for carrying out data analysis. In addition, experienced users have the possibility to export data to R for more complex analyses. MIRACLE thus has the potential to further spread utilization of RPPAs as an emerging technology for high-throughput protein analysis. Availability: Project URL: http://www.nanocan.org/miracle/ Contact: mlist@health.sdu.dk Supplementary information: Supplementary data are available at Bioinformatics online.
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spelling pubmed-41479252014-09-02 Microarray R-based analysis of complex lysate experiments with MIRACLE List, Markus Block, Ines Pedersen, Marlene Lemvig Christiansen, Helle Schmidt, Steffen Thomassen, Mads Tan, Qihua Baumbach, Jan Mollenhauer, Jan Bioinformatics Eccb 2014 Proceedings Papers Committee Motivation: Reverse-phase protein arrays (RPPAs) allow sensitive quantification of relative protein abundance in thousands of samples in parallel. Typical challenges involved in this technology are antibody selection, sample preparation and optimization of staining conditions. The issue of combining effective sample management and data analysis, however, has been widely neglected. Results: This motivated us to develop MIRACLE, a comprehensive and user-friendly web application bridging the gap between spotting and array analysis by conveniently keeping track of sample information. Data processing includes correction of staining bias, estimation of protein concentration from response curves, normalization for total protein amount per sample and statistical evaluation. Established analysis methods have been integrated with MIRACLE, offering experimental scientists an end-to-end solution for sample management and for carrying out data analysis. In addition, experienced users have the possibility to export data to R for more complex analyses. MIRACLE thus has the potential to further spread utilization of RPPAs as an emerging technology for high-throughput protein analysis. Availability: Project URL: http://www.nanocan.org/miracle/ Contact: mlist@health.sdu.dk Supplementary information: Supplementary data are available at Bioinformatics online. Oxford University Press 2014-09-01 2014-08-22 /pmc/articles/PMC4147925/ /pubmed/25161257 http://dx.doi.org/10.1093/bioinformatics/btu473 Text en © The Author 2014. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/3.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Eccb 2014 Proceedings Papers Committee
List, Markus
Block, Ines
Pedersen, Marlene Lemvig
Christiansen, Helle
Schmidt, Steffen
Thomassen, Mads
Tan, Qihua
Baumbach, Jan
Mollenhauer, Jan
Microarray R-based analysis of complex lysate experiments with MIRACLE
title Microarray R-based analysis of complex lysate experiments with MIRACLE
title_full Microarray R-based analysis of complex lysate experiments with MIRACLE
title_fullStr Microarray R-based analysis of complex lysate experiments with MIRACLE
title_full_unstemmed Microarray R-based analysis of complex lysate experiments with MIRACLE
title_short Microarray R-based analysis of complex lysate experiments with MIRACLE
title_sort microarray r-based analysis of complex lysate experiments with miracle
topic Eccb 2014 Proceedings Papers Committee
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4147925/
https://www.ncbi.nlm.nih.gov/pubmed/25161257
http://dx.doi.org/10.1093/bioinformatics/btu473
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