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Genome-wide modeling of complex phenotypes in Caenorhabditis elegans and Drosophila melanogaster
BACKGROUND: The genetic and molecular basis for many intermediate and end stage phenotypes in model systems such as C. elegans and D. melanogaster has long been known to involve pleiotropic effects and complex multigenic interactions. Gene sets are groups of genes that contribute to multiple biologi...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3849582/ https://www.ncbi.nlm.nih.gov/pubmed/23984798 http://dx.doi.org/10.1186/1471-2164-14-580 |
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author | De, Supriyo Zhang, Yongqing Wolkow, Catherine A Zou, Sige Goldberg, Ilya Becker, Kevin G |
author_facet | De, Supriyo Zhang, Yongqing Wolkow, Catherine A Zou, Sige Goldberg, Ilya Becker, Kevin G |
author_sort | De, Supriyo |
collection | PubMed |
description | BACKGROUND: The genetic and molecular basis for many intermediate and end stage phenotypes in model systems such as C. elegans and D. melanogaster has long been known to involve pleiotropic effects and complex multigenic interactions. Gene sets are groups of genes that contribute to multiple biological or molecular phenomena. They have been used in the analysis of large molecular datasets such as microarray data, Next Generation sequencing, and other genomic datasets to reveal pleiotropic and multigenic contributions to phenotypic outcomes. Many model systems lack species specific organized phenotype based gene sets to enable high throughput analysis of large molecular datasets. RESULTS AND DISCUSSION: Here, we describe two novel collections of gene sets in C. elegans and D. melanogaster that are based exclusively on genetically determined phenotypes and use a controlled phenotypic ontology. We use these collections to build genome-wide models of thousands of defined phenotypes in both model species. In addition, we demonstrate the utility of these gene sets in systems analysis and in analysis of gene expression-based molecular datasets and show how they are useful in analysis of genomic datasets connecting multigenic gene inputs to complex phenotypes. CONCLUSIONS: Phenotypic based gene sets in both C. elegans and D. melanogaster are developed, characterized, and shown to be useful in the analysis of large scale species-specific genomic datasets. These phenotypic gene set collections will contribute to the understanding of complex phenotypic outcomes in these model systems. |
format | Online Article Text |
id | pubmed-3849582 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-38495822013-12-06 Genome-wide modeling of complex phenotypes in Caenorhabditis elegans and Drosophila melanogaster De, Supriyo Zhang, Yongqing Wolkow, Catherine A Zou, Sige Goldberg, Ilya Becker, Kevin G BMC Genomics Methodology Article BACKGROUND: The genetic and molecular basis for many intermediate and end stage phenotypes in model systems such as C. elegans and D. melanogaster has long been known to involve pleiotropic effects and complex multigenic interactions. Gene sets are groups of genes that contribute to multiple biological or molecular phenomena. They have been used in the analysis of large molecular datasets such as microarray data, Next Generation sequencing, and other genomic datasets to reveal pleiotropic and multigenic contributions to phenotypic outcomes. Many model systems lack species specific organized phenotype based gene sets to enable high throughput analysis of large molecular datasets. RESULTS AND DISCUSSION: Here, we describe two novel collections of gene sets in C. elegans and D. melanogaster that are based exclusively on genetically determined phenotypes and use a controlled phenotypic ontology. We use these collections to build genome-wide models of thousands of defined phenotypes in both model species. In addition, we demonstrate the utility of these gene sets in systems analysis and in analysis of gene expression-based molecular datasets and show how they are useful in analysis of genomic datasets connecting multigenic gene inputs to complex phenotypes. CONCLUSIONS: Phenotypic based gene sets in both C. elegans and D. melanogaster are developed, characterized, and shown to be useful in the analysis of large scale species-specific genomic datasets. These phenotypic gene set collections will contribute to the understanding of complex phenotypic outcomes in these model systems. BioMed Central 2013-08-28 /pmc/articles/PMC3849582/ /pubmed/23984798 http://dx.doi.org/10.1186/1471-2164-14-580 Text en Copyright © 2013 De 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 | Methodology Article De, Supriyo Zhang, Yongqing Wolkow, Catherine A Zou, Sige Goldberg, Ilya Becker, Kevin G Genome-wide modeling of complex phenotypes in Caenorhabditis elegans and Drosophila melanogaster |
title | Genome-wide modeling of complex phenotypes in Caenorhabditis elegans and Drosophila melanogaster |
title_full | Genome-wide modeling of complex phenotypes in Caenorhabditis elegans and Drosophila melanogaster |
title_fullStr | Genome-wide modeling of complex phenotypes in Caenorhabditis elegans and Drosophila melanogaster |
title_full_unstemmed | Genome-wide modeling of complex phenotypes in Caenorhabditis elegans and Drosophila melanogaster |
title_short | Genome-wide modeling of complex phenotypes in Caenorhabditis elegans and Drosophila melanogaster |
title_sort | genome-wide modeling of complex phenotypes in caenorhabditis elegans and drosophila melanogaster |
topic | Methodology Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3849582/ https://www.ncbi.nlm.nih.gov/pubmed/23984798 http://dx.doi.org/10.1186/1471-2164-14-580 |
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