The RNA polymerase II-associated factor 1 complex (PAF1C) is a protein complex that consists of LEO1, RTF1, PAF1, CDC73, and CTR9, and has been shown to be involved in RNA polymerase II-mediated transcriptional and chromatin regulation. Although it has been shown to regulate a variety of biological processes, the precise role of the PAF1C during germ line development has not been clarified. In this study, we found that reduction in the function of the PAF1C components, LEO-1, RTFO-1, PAFO-1, CDC-73, and CTR-9, in Caenorhabditis elegans affects oogenesis.
View Article and Find Full Text PDFBackground: Histone deacetylase (HDAC)-1, a Class-I HDAC family member, forms three types of complexes, the nucleosome remodeling deacetylase, Sin3, and CoREST complexes with the specific corepressor components chromodomain-helicase-DNA-binding protein 3 (Mi2/CHD-3), Sin3, and REST corepressor 1 (RCOR1), respectively, in humans.
Objective: To elucidate the functional relationships among the three transcriptional corepressors during embryogenesis.
Methods: The activities of HDA-1, LET-418, SIN-3, and SPR-1, the homologs of HDAC-1, Mi2, Sin3, and RCOR1 in Caenorhabditis elegans during embryogenesis were investigated through measurement of relative mRNA expression levels and embryonic lethality given either gene knockdown or deletion.
Glycans are involved in various metabolic processes via the functions of glycosyltransferases and glycoside hydrolases. Analysing the evolution of these enzymes is essential for improving the understanding of glycan metabolism and function. Based on our previous study of glycosyltransferases, we performed a genome-wide analysis of whole human glycoside hydrolases using the UniProt, BRENDA, CAZy and KEGG databases.
View Article and Find Full Text PDFObtaining 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.
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