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Phylogenetically informed logic relationships improve detection of biological network organization

BACKGROUND: A "phylogenetic profile" refers to the presence or absence of a gene across a set of organisms, and it has been proven valuable for understanding gene functional relationships and network organization. Despite this success, few studies have attempted to search beyond just pairw...

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Autores principales: Cui, Jike, DeLuca, Todd F, Jung, Jae-Yoon, Wall, Dennis P
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3402364/
https://www.ncbi.nlm.nih.gov/pubmed/22172058
http://dx.doi.org/10.1186/1471-2105-12-476
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author Cui, Jike
DeLuca, Todd F
Jung, Jae-Yoon
Wall, Dennis P
author_facet Cui, Jike
DeLuca, Todd F
Jung, Jae-Yoon
Wall, Dennis P
author_sort Cui, Jike
collection PubMed
description BACKGROUND: A "phylogenetic profile" refers to the presence or absence of a gene across a set of organisms, and it has been proven valuable for understanding gene functional relationships and network organization. Despite this success, few studies have attempted to search beyond just pairwise relationships among genes. Here we search for logic relationships involving three genes, and explore its potential application in gene network analyses. RESULTS: Taking advantage of a phylogenetic matrix constructed from the large orthologs database Roundup, we invented a method to create balanced profiles for individual triplets of genes that guarantee equal weight on the different phylogenetic scenarios of coevolution between genes. When we applied this idea to LAPP, the method to search for logic triplets of genes, the balanced profiles resulted in significant performance improvement and the discovery of hundreds of thousands more putative triplets than unadjusted profiles. We found that logic triplets detected biological network organization and identified key proteins and their functions, ranging from neighbouring proteins in local pathways, to well separated proteins in the whole pathway, and to the interactions among different pathways at the system level. Finally, our case study suggested that the directionality in a logic relationship and the profile of a triplet could disclose the connectivity between the triplet and surrounding networks. CONCLUSION: Balanced profiles are superior to the raw profiles employed by traditional methods of phylogenetic profiling in searching for high order gene sets. Gene triplets can provide valuable information in detection of biological network organization and identification of key genes at different levels of cellular interaction.
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spelling pubmed-34023642012-07-24 Phylogenetically informed logic relationships improve detection of biological network organization Cui, Jike DeLuca, Todd F Jung, Jae-Yoon Wall, Dennis P BMC Bioinformatics Research Article BACKGROUND: A "phylogenetic profile" refers to the presence or absence of a gene across a set of organisms, and it has been proven valuable for understanding gene functional relationships and network organization. Despite this success, few studies have attempted to search beyond just pairwise relationships among genes. Here we search for logic relationships involving three genes, and explore its potential application in gene network analyses. RESULTS: Taking advantage of a phylogenetic matrix constructed from the large orthologs database Roundup, we invented a method to create balanced profiles for individual triplets of genes that guarantee equal weight on the different phylogenetic scenarios of coevolution between genes. When we applied this idea to LAPP, the method to search for logic triplets of genes, the balanced profiles resulted in significant performance improvement and the discovery of hundreds of thousands more putative triplets than unadjusted profiles. We found that logic triplets detected biological network organization and identified key proteins and their functions, ranging from neighbouring proteins in local pathways, to well separated proteins in the whole pathway, and to the interactions among different pathways at the system level. Finally, our case study suggested that the directionality in a logic relationship and the profile of a triplet could disclose the connectivity between the triplet and surrounding networks. CONCLUSION: Balanced profiles are superior to the raw profiles employed by traditional methods of phylogenetic profiling in searching for high order gene sets. Gene triplets can provide valuable information in detection of biological network organization and identification of key genes at different levels of cellular interaction. BioMed Central 2011-12-15 /pmc/articles/PMC3402364/ /pubmed/22172058 http://dx.doi.org/10.1186/1471-2105-12-476 Text en Copyright ©2011 Cui et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Cui, Jike
DeLuca, Todd F
Jung, Jae-Yoon
Wall, Dennis P
Phylogenetically informed logic relationships improve detection of biological network organization
title Phylogenetically informed logic relationships improve detection of biological network organization
title_full Phylogenetically informed logic relationships improve detection of biological network organization
title_fullStr Phylogenetically informed logic relationships improve detection of biological network organization
title_full_unstemmed Phylogenetically informed logic relationships improve detection of biological network organization
title_short Phylogenetically informed logic relationships improve detection of biological network organization
title_sort phylogenetically informed logic relationships improve detection of biological network organization
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3402364/
https://www.ncbi.nlm.nih.gov/pubmed/22172058
http://dx.doi.org/10.1186/1471-2105-12-476
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