Please use this identifier to cite or link to this item: https://www.arca.fiocruz.br/handle/icict/27086
Title: Follow up of a robust meta-signature to identify Zika virus infection in Aedes aegypti: another brick in the wall
Authors: Fukutani, Eduardo
Rodrigues, Moreno
Kasprzykowski, José Irahe
Araujo, Cintia Figueiredo de
Paschoal, Alexandre Rossi
Ramos, Pablo Ivan Pereira
Fukutani, Kiyoshi Ferreira
Queiroz, Artur Trancoso Lopo de
Affilliation: Fundação Oswaldo Cruz. Instituto Gonçalo Moniz. Salvador, BA, Brasil
Fundação Oswaldo Cruz. Instituto Gonçalo Moniz. Salvador, BA, Brasil
Fundação Oswaldo Cruz. Instituto Gonçalo Moniz. Salvador, BA, Brasil / Fundação Oswaldo Cruz. Instituto Gonçalo Moniz. Pós-Graduação em Biotecnologia em Saúde Investigativa. Salvador, BA, Brasil
Universidade Federal da Bahia. Serviço de Imunologia. Salvador, BA, Brasil
Universidade Tecnológica Federal do Paraná. Cornélio Procópio, PR, Brasil
Fundação Oswaldo Cruz. Instituto Gonçalo Moniz. Salvador, BA, Brasil
Universidade de São Paulo. Faculdade de Medicina de Ribeirão Preto. Ribeirão Preto, SP, Brasil / Universidade Salvador. Salvador, BA, Brasil
Fundação Oswaldo Cruz. Instituto Gonçalo Moniz. Salvador, BA, Brasil / Fundação Oswaldo Cruz. Instituto Gonçalo Moniz. Pós-Graduação em Biotecnologia em Saúde Investigativa. Salvador, BA, Brasil
Abstract: The mosquito Aedes aegypti is the main vector of several arthropod-borne diseases that have global impacts. In a previous meta-analysis, our group identified a vector gene set containing 110 genes strongly associated with infections of dengue, West Nile and yellow fever viruses. Of these 110 genes, four genes allowed a highly accurate classification of infected status. More recently, a new study of Ae. aegypti infected with Zika virus (ZIKV) was published, providing new data to investigate whether this "infection" gene set is also altered during a ZIKV infection. Our hypothesis is that the infection-associated signature may also serve as a proxy to classify the ZIKV infection in the vector. Raw data associated with the NCBI/BioProject were downloaded and re-analysed. A total of 18 paired-end replicates corresponding to three ZIKV-infected samples and three controls were included in this study. The nMDS technique with a logistic regression was used to obtain the probabilities of belonging to a given class. Thus, to compare both gene sets, we used the area under the curve and performed a comparison using the bootstrap method. Our meta-signature was able to separate the infected mosquitoes from the controls with good predictive power to classify the Zika-infected mosquitoes.
Keywords: RNA-seq
Signature
Transcriptome
Zika virus
Aedes aegypti
keywords: RNA-seq
Assinatura
Transcriptoma
Zika virus
Aedes aegypti
Issue Date: 2018
Publisher: Instituto Oswaldo Cruz
Citation: FUKUTANI, E. et al. Follow up of a robust meta-signature to identify Zika virus infection in Aedes aegypti: another brick in the wall. Memórias do Instituto Oswaldo Cruz, v. 113, n. 6, p. e180053, 2018.
DOI: 10.1590/0074-02760180053
ISSN: 0074-0276
Copyright: open access
Appears in Collections:BA - IGM - Artigos de Periódicos

Files in This Item:
File Description SizeFormat 
Fukutani E Follow up of a robust meta-signature to identify......pdf337.17 kBAdobe PDFView/Open



FacebookTwitterDeliciousLinkedInGoogle BookmarksBibTex Format mendeley Endnote DiggMySpace

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.