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aeGEPUCI: a database of gene expression in the dengue vector mosquito, Aedes aegypti

BACKGROUND: Aedes aegypti is the principal vector of dengue and yellow fever viruses. The availability of the sequenced and annotated genome enables genome-wide analyses of gene expression in this mosquito. The large amount of data resulting from these analyses requires efficient cataloguing before...

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Autores principales: Dissanayake, Sumudu N, Ribeiro, Jose MC, Wang, Mei-Hui, Dunn, William A, Yan, Guiyun, James, Anthony A, Marinotti, Osvaldo
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2958886/
https://www.ncbi.nlm.nih.gov/pubmed/20920356
http://dx.doi.org/10.1186/1756-0500-3-248
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author Dissanayake, Sumudu N
Ribeiro, Jose MC
Wang, Mei-Hui
Dunn, William A
Yan, Guiyun
James, Anthony A
Marinotti, Osvaldo
author_facet Dissanayake, Sumudu N
Ribeiro, Jose MC
Wang, Mei-Hui
Dunn, William A
Yan, Guiyun
James, Anthony A
Marinotti, Osvaldo
author_sort Dissanayake, Sumudu N
collection PubMed
description BACKGROUND: Aedes aegypti is the principal vector of dengue and yellow fever viruses. The availability of the sequenced and annotated genome enables genome-wide analyses of gene expression in this mosquito. The large amount of data resulting from these analyses requires efficient cataloguing before it becomes useful as the basis for new insights into gene expression patterns and studies of the underlying molecular mechanisms for generating these patterns. FINDINGS: We provide a publicly-accessible database and data-mining tool, aeGEPUCI, that integrates 1) microarray analyses of sex- and stage-specific gene expression in Ae. aegypti, 2) functional gene annotation, 3) genomic sequence data, and 4) computational sequence analysis tools. The database can be used to identify genes expressed in particular stages and patterns of interest, and to analyze putative cis-regulatory elements (CREs) that may play a role in coordinating these patterns. The database is accessible from the address http://www.aegep.bio.uci.edu. CONCLUSIONS: The combination of gene expression, function and sequence data coupled with integrated sequence analysis tools allows for identification of expression patterns and streamlines the development of CRE predictions and experiments to assess how patterns of expression are coordinated at the molecular level.
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spelling pubmed-29588862010-10-22 aeGEPUCI: a database of gene expression in the dengue vector mosquito, Aedes aegypti Dissanayake, Sumudu N Ribeiro, Jose MC Wang, Mei-Hui Dunn, William A Yan, Guiyun James, Anthony A Marinotti, Osvaldo BMC Res Notes Data Note BACKGROUND: Aedes aegypti is the principal vector of dengue and yellow fever viruses. The availability of the sequenced and annotated genome enables genome-wide analyses of gene expression in this mosquito. The large amount of data resulting from these analyses requires efficient cataloguing before it becomes useful as the basis for new insights into gene expression patterns and studies of the underlying molecular mechanisms for generating these patterns. FINDINGS: We provide a publicly-accessible database and data-mining tool, aeGEPUCI, that integrates 1) microarray analyses of sex- and stage-specific gene expression in Ae. aegypti, 2) functional gene annotation, 3) genomic sequence data, and 4) computational sequence analysis tools. The database can be used to identify genes expressed in particular stages and patterns of interest, and to analyze putative cis-regulatory elements (CREs) that may play a role in coordinating these patterns. The database is accessible from the address http://www.aegep.bio.uci.edu. CONCLUSIONS: The combination of gene expression, function and sequence data coupled with integrated sequence analysis tools allows for identification of expression patterns and streamlines the development of CRE predictions and experiments to assess how patterns of expression are coordinated at the molecular level. BioMed Central 2010-10-04 /pmc/articles/PMC2958886/ /pubmed/20920356 http://dx.doi.org/10.1186/1756-0500-3-248 Text en Copyright ©2010 Marinotti 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 Data Note
Dissanayake, Sumudu N
Ribeiro, Jose MC
Wang, Mei-Hui
Dunn, William A
Yan, Guiyun
James, Anthony A
Marinotti, Osvaldo
aeGEPUCI: a database of gene expression in the dengue vector mosquito, Aedes aegypti
title aeGEPUCI: a database of gene expression in the dengue vector mosquito, Aedes aegypti
title_full aeGEPUCI: a database of gene expression in the dengue vector mosquito, Aedes aegypti
title_fullStr aeGEPUCI: a database of gene expression in the dengue vector mosquito, Aedes aegypti
title_full_unstemmed aeGEPUCI: a database of gene expression in the dengue vector mosquito, Aedes aegypti
title_short aeGEPUCI: a database of gene expression in the dengue vector mosquito, Aedes aegypti
title_sort aegepuci: a database of gene expression in the dengue vector mosquito, aedes aegypti
topic Data Note
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2958886/
https://www.ncbi.nlm.nih.gov/pubmed/20920356
http://dx.doi.org/10.1186/1756-0500-3-248
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