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PLoS One ; 14(9): e0215187, 2019.
Artigo em Inglês | MEDLINE | ID: mdl-31504044

RESUMO

Obtaining a comprehensive understanding of the gene regulatory networks, or gene cascades, involved in cell fate determination and cell lineage segregation in Caenorhabditis elegans is a long-standing challenge. Although RNA-sequencing (RNA-Seq) is a promising technique to resolve these questions, the bioinformatics tools to identify associated gene cascades from RNA-Seq data remain inadequate. To overcome these limitations, we developed Gene Cascade Finder (GCF) as a novel tool for building gene cascades by comparison of mutant and wild-type RNA-Seq data along with integrated information of protein-protein interactions, expression timing, and domains. Application of GCF to RNA-Seq data confirmed that SPN-4 and MEX-3 regulate the canonical Wnt pathway during embryonic development. Moreover, lin-35, hsp-3, and gpa-12 were found to be involved in MEX-1-dependent neurogenesis, and MEX-3 was found to control the gene cascade promoting neurogenesis through lin-35 and apl-1. Thus, GCF could be a useful tool for building gene cascades from RNA-Seq data.


Assuntos
Proteínas de Caenorhabditis elegans/genética , Redes Reguladoras de Genes , Genômica/métodos , Mapas de Interação de Proteínas , Software , Animais , Caenorhabditis elegans , Proteínas de Caenorhabditis elegans/metabolismo , Regulação da Expressão Gênica no Desenvolvimento , Neurogênese
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