Author | Fukutani, Eduardo | |
Author | Rodrigues, Moreno | |
Author | Kasprzykowski, José Irahe | |
Author | Araujo, Cintia Figueiredo de | |
Author | Paschoal, Alexandre Rossi | |
Author | Ramos, Pablo Ivan Pereira | |
Author | Fukutani, Kiyoshi Ferreira | |
Author | Queiroz, Artur Trancoso Lopo de | |
Access date | 2018-06-25T17:27:09Z | |
Available date | 2018-06-25T17:27:09Z | |
Document date | 2018 | |
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. | pt_BR |
ISSN | 0074-0276 | pt_BR |
URI | https://www.arca.fiocruz.br/handle/icict/27086 | |
Sponsorship | FAPESB (process no. JCB0004/2013), FAPESP (no.2017/03491-6), CNPq Universal CTI/CNPQ/Universal14/2014 (no. 454505/2014-0). | pt_BR |
Language | eng | pt_BR |
Publisher | Instituto Oswaldo Cruz | pt_BR |
Rights | open access | pt_BR |
Subject in Portuguese | RNA-seq | pt_BR |
Subject in Portuguese | Assinatura | pt_BR |
Subject in Portuguese | Transcriptoma | pt_BR |
Subject in Portuguese | Zika virus | pt_BR |
Subject in Portuguese | Aedes aegypti | pt_BR |
Title | Follow up of a robust meta-signature to identify Zika virus infection in Aedes aegypti: another brick in the wall | pt_BR |
Type | Article | pt_BR |
DOI | 10.1590/0074-02760180053 | |
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. | pt_BR |
Affilliation | Fundação Oswaldo Cruz. Instituto Gonçalo Moniz. Salvador, BA, Brasil | pt_BR |
Affilliation | Fundação Oswaldo Cruz. Instituto Gonçalo Moniz. Salvador, BA, Brasil | pt_BR |
Affilliation | 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 | pt_BR |
Affilliation | Universidade Federal da Bahia. Serviço de Imunologia. Salvador, BA, Brasil | pt_BR |
Affilliation | Universidade Tecnológica Federal do Paraná. Cornélio Procópio, PR, Brasil | pt_BR |
Affilliation | Fundação Oswaldo Cruz. Instituto Gonçalo Moniz. Salvador, BA, Brasil | pt_BR |
Affilliation | Universidade de São Paulo. Faculdade de Medicina de Ribeirão Preto. Ribeirão Preto, SP, Brasil / Universidade Salvador. Salvador, BA, Brasil | pt_BR |
Affilliation | 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 | pt_BR |
Subject | RNA-seq | pt_BR |
Subject | Signature | pt_BR |
Subject | Transcriptome | pt_BR |
Subject | Zika virus | pt_BR |
Subject | Aedes aegypti | pt_BR |