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Rewiring of the inferred protein interactome during blood development studied with the tool PPICompare
BACKGROUND: Differential analysis of cellular conditions is a key approach towards understanding the consequences and driving causes behind biological processes such as developmental transitions or diseases. The progress of whole-genome expression profiling enabled to conveniently capture the state...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5379774/ https://www.ncbi.nlm.nih.gov/pubmed/28376810 http://dx.doi.org/10.1186/s12918-017-0400-x |
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author | Will, Thorsten Helms, Volkhard |
author_facet | Will, Thorsten Helms, Volkhard |
author_sort | Will, Thorsten |
collection | PubMed |
description | BACKGROUND: Differential analysis of cellular conditions is a key approach towards understanding the consequences and driving causes behind biological processes such as developmental transitions or diseases. The progress of whole-genome expression profiling enabled to conveniently capture the state of a cell’s transcriptome and to detect the characteristic features that distinguish cells in specific conditions. In contrast, mapping the physical protein interactome for many samples is experimentally infeasible at the moment. For the understanding of the whole system, however, it is equally important how the interactions of proteins are rewired between cellular states. To overcome this deficiency, we recently showed how condition-specific protein interaction networks that even consider alternative splicing can be inferred from transcript expression data. Here, we present the differential network analysis tool PPICompare that was specifically designed for isoform-sensitive protein interaction networks. RESULTS: Besides detecting significant rewiring events between the interactomes of grouped samples, PPICompare infers which alterations to the transcriptome caused each rewiring event and what is the minimal set of alterations necessary to explain all between-group changes. When applied to the development of blood cells, we verified that a reasonable amount of rewiring events were reported by the tool and found that differential gene expression was the major determinant of cellular adjustments to the interactome. Alternative splicing events were consistently necessary in each developmental step to explain all significant alterations and were especially important for rewiring in the context of transcriptional control. CONCLUSIONS: Applying PPICompare enabled us to investigate the dynamics of the human protein interactome during developmental transitions. A platform-independent implementation of the tool PPICompare is available at https://sourceforge.net/projects/ppicompare/. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12918-017-0400-x) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5379774 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-53797742017-04-10 Rewiring of the inferred protein interactome during blood development studied with the tool PPICompare Will, Thorsten Helms, Volkhard BMC Syst Biol Research Article BACKGROUND: Differential analysis of cellular conditions is a key approach towards understanding the consequences and driving causes behind biological processes such as developmental transitions or diseases. The progress of whole-genome expression profiling enabled to conveniently capture the state of a cell’s transcriptome and to detect the characteristic features that distinguish cells in specific conditions. In contrast, mapping the physical protein interactome for many samples is experimentally infeasible at the moment. For the understanding of the whole system, however, it is equally important how the interactions of proteins are rewired between cellular states. To overcome this deficiency, we recently showed how condition-specific protein interaction networks that even consider alternative splicing can be inferred from transcript expression data. Here, we present the differential network analysis tool PPICompare that was specifically designed for isoform-sensitive protein interaction networks. RESULTS: Besides detecting significant rewiring events between the interactomes of grouped samples, PPICompare infers which alterations to the transcriptome caused each rewiring event and what is the minimal set of alterations necessary to explain all between-group changes. When applied to the development of blood cells, we verified that a reasonable amount of rewiring events were reported by the tool and found that differential gene expression was the major determinant of cellular adjustments to the interactome. Alternative splicing events were consistently necessary in each developmental step to explain all significant alterations and were especially important for rewiring in the context of transcriptional control. CONCLUSIONS: Applying PPICompare enabled us to investigate the dynamics of the human protein interactome during developmental transitions. A platform-independent implementation of the tool PPICompare is available at https://sourceforge.net/projects/ppicompare/. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12918-017-0400-x) contains supplementary material, which is available to authorized users. BioMed Central 2017-04-04 /pmc/articles/PMC5379774/ /pubmed/28376810 http://dx.doi.org/10.1186/s12918-017-0400-x Text en © The Author(s) 2017 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License(http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver(http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Will, Thorsten Helms, Volkhard Rewiring of the inferred protein interactome during blood development studied with the tool PPICompare |
title | Rewiring of the inferred protein interactome during blood development studied with the tool PPICompare |
title_full | Rewiring of the inferred protein interactome during blood development studied with the tool PPICompare |
title_fullStr | Rewiring of the inferred protein interactome during blood development studied with the tool PPICompare |
title_full_unstemmed | Rewiring of the inferred protein interactome during blood development studied with the tool PPICompare |
title_short | Rewiring of the inferred protein interactome during blood development studied with the tool PPICompare |
title_sort | rewiring of the inferred protein interactome during blood development studied with the tool ppicompare |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5379774/ https://www.ncbi.nlm.nih.gov/pubmed/28376810 http://dx.doi.org/10.1186/s12918-017-0400-x |
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