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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...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2014
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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. |
format | Online Article Text |
id | pubmed-4147925 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
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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