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Comprehensive meta-analysis of gene networks associated to human viral infections

Grant number: 19/16418-0
Support Opportunities:Scholarships in Brazil - Doctorate (Direct)
Effective date (Start): September 01, 2019
Effective date (End): April 30, 2024
Field of knowledge:Biological Sciences - Immunology - Immunogenetics
Principal Investigator:Helder Takashi Imoto Nakaya
Grantee:Vanessa Escolano Maso
Host Institution: Faculdade de Ciências Farmacêuticas (FCF). Universidade de São Paulo (USP). São Paulo , SP, Brazil
Associated research grant:18/21934-5 - Network statistics: theory, methods, and applications, AP.TEM
Associated scholarship(s):23/05005-2 - Comparison of the human blood transcriptomic profile during the natural Yellow Fever infection and the Yellow Fever 17D vaccine, BE.EP.DD


Protein-Protein Interaction (PPI) networks have been shown as efficient at identification of genes associated with diseases and can be integrated to transcriptome data for understanding about how genes interactions can result in a pathologic phenotype, this integration will produce the gene networks. Genes shared by the majority of viral infections are already know, between them, genes associated with antigen presentation and activation of T CD8 and T CD4 cells, however, little is known about how genes interact with each other in each infection. This project aims to conduct a gene network analysis for identification of genes interactions shared between Dengue, Chikungunya, Yellow Fever and Influenza viral infections and for identification of exclusives genes interactions for each one of these viral infections. PPI networks will be constructed in silico with protein interaction datas available at public databases. PPI networks and differentially expressed genes in transcriptome meta-analysis will be integrated for constructing genes networks of each viral infection. Gene networks of the four viral infections will be compared, it will allow the identification of exclusive and shared genes interactions. (AU)

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Scientific publications
(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)
AQUIME GONCALVES, ANDRE NICOLAU; MASO, VANESSA ESCOLANO; SANTOS DE CASTRO, ICARO MAIA; VASCONCELOS, AMANDA PEREIRA; TOMIO OGAVA, RODRIGO LUIZ; NAKAYA, HELDER, I. High-Throughput Transcriptome Analysis for Investigating Host-Pathogen Interactions. JOVE-JOURNAL OF VISUALIZED EXPERIMENTS, v. N/A, n. 181, p. 22-pg., . (18/14933-2, 13/08216-2, 19/13880-5, 19/16418-0, 19/27146-1, 12/19278-6, 20/05284-0, 17/50137-3, 18/21934-5)

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