Systems Biology-Based Analysis Indicates Global Transcriptional Impairment in Lead-Treated Human Neural Progenitor Cells.

Reis, Clovis F; de Souza, Iara D; Morais, Diego A A; Oliveira, Raffael A C; Imparato, Danilo O; de Almeida, Rita M C; Dalmolin, Rodrigo J S

Reis, Clovis F; de Souza, Iara D; Morais, Diego A A; Oliveira, Raffael A C; Imparato, Danilo O; de Almeida, Rita M C; Dalmolin, Rodrigo J S.

Afiliação

Reis CF; Bioinformatics Multidisciplinary Environment - IMD, Federal University of Rio Grande do Norte, Natal, Brazil.
de Souza ID; Bioinformatics Multidisciplinary Environment - IMD, Federal University of Rio Grande do Norte, Natal, Brazil.
Morais DAA; Bioinformatics Multidisciplinary Environment - IMD, Federal University of Rio Grande do Norte, Natal, Brazil.
Oliveira RAC; Bioinformatics Multidisciplinary Environment - IMD, Federal University of Rio Grande do Norte, Natal, Brazil.
Imparato DO; Bioinformatics Multidisciplinary Environment - IMD, Federal University of Rio Grande do Norte, Natal, Brazil.
de Almeida RMC; Institute of Physics and National Institute of Science and Technology: Complex Systems, Federal University of Rio Grande do Sul, Porto Alegre, Brazil.
Dalmolin RJS; Bioinformatics Multidisciplinary Environment - IMD, Federal University of Rio Grande do Norte, Natal, Brazil.

Front Genet ; 10: 791, 2019.

Article em En | MEDLINE | ID: mdl-31552095

Palavras-chave

RNA-seq; data integration; lead exposure; lead poisoning; network inference; network visualization; transcriptogramer; transcriptome analysis

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Front Genet Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Brasil País de publicação: Suíça

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