Project description:Digital gene expression profiling (DGE) was used to compare the responses of Penicillium decumbens strains to different carbon sources including glucose, cellulose and cellulose-wheat bran. In both wild-type strain 114-2 and cellulase hyperproducing mutant JU-A10-T, transcription of lignocellulolytic enzymes were significantly up-regulated in the presense of cellulose. Relative to 114-2, coordinated up-regulation of lignocellulolytic enzymes and down-regulation of amylases and proteases were observed in JU-A10-T, especially in the cellulose-wheat bran medium. The expression of the principal β-glucosidase BGLI gene was not elevated in JU-A10-T, like the cellulases and hemicellulases, suggesting a different regulatory mechanism for this enzyme. Functional analysis of genes up-regulated in JU-A10-T relative to 114-2 also showed enrichment of proteins involved in amino acid synthesis, protein synthesis, and post-translational modification, compatible with the higher level of production of secreted proteins in JU-A10-T.
Project description:Transcriptomic analysis of fungus Penicillium decumbens and brlA deletion strains in liquid medium and solid medium respectivelly Examination of differential gene expressions by Penicillium decumbens strains 114-2 and brlA deletion stains in liquid medium and solid medium
Project description:Coxsackievirus A10 (CV-A10) constitutes one of the major pathogens of hand, foot, and mouth disease (HFMD), which can cause mild to severe illness and even death. Most of these severe and death cases were closely associated with their neurological impairments, but the underlying mechanism of neuropathological injury induced by CV-A10 infection has not been elucidated. MicroRNAs (miRNAs), implicated in the regulation of gene expression in a posttranscriptional manner, play a vital role in the pathogenesis of various central nervous systems (CNS) diseases; thereby they are served as diagnostic biomarkers and are emerging as novel therapeutic targets for CNS injuries. To gain insights in the CV-A10-induced regulation of host miRNA-processing machinery, we employed high-throughput sequencing to identify differentially expressed miRNAs in CV-A10-infected HUVEC cells and further analyzed the potential functions of these miRNAs during CV-A10 infection. The results showed that CV-A10 infection could elicit 189 and 302 significantly differentially expressed miRNAs in HUVEC cells at 24 hpi and 72 hpi, respectively, as compared with the uninfected control.
