Project description:Trichophyton rubrum, an anthropophilic and cosmopolitan fungus, is the most common agent of superficial mycoses, causing rarely deep dermatophytosis in immunocompromised hosts.
Project description:Trichophyton rubrum, an anthropophilic and cosmopolitan fungus, is the most common agent of superficial mycoses, causing rarely deep dermatophytosis in immunocompromised hosts. In this study, an infection condition of T. rubrum was modeled by adding human skin sections into a limited medium containing glucose to monitor T. rubrum gene expression patterns using cDNA microarrays on a global level. We found that exposure to human skin resulted in up-regulation of the expression levels of T. rubrum genes related to many cellular and biological processes, including transcription and translation, metabolism and secondary transport, stress response, and signaling pathways. These results provide a reference set of T. rubrum genes whose expression patterns change upon infection and reveal previously unknown genes that probably corresponding to proteins that should be considered as virulence factor candidates and potential new drug targets for T. rubrum infections.
Project description:A cDNA microarray was constructed from the expressed sequence tags (ESTs) of different developmental stages, and comparative genome hybridization based on microarray procedures were carried out. Dermatophyte species are classified into three genera: Epidermophyton, Microsporum, and Trichophyton. To determine the relationship between these three groups comparative genome hybridization were used in our experiment. Trichophyton rubrum genmic DNA was reference DNA and labelled by Cy3 while the other dermatophytes genomic DNA were test DNA and labelled by CY5. Test and reference DNA were co-hybridized with the T. rubrum cDNA microarray and the numbers of genes shared between each species and T. rubrum were determined. Keywords: Comparative Genomic Hybridization We used a Trichophyton rubrum cDNA microarray prepared in our lab through comparative genome hybridization of genomic DNA of 21 dermatophyte strains (belonging to 20 species) to elucidate the taxonomy and evolution profiles of 20 dermatophyte species. The numbers of genes shared between each species and T. rubrum were determined. Each strain DNA hybridized for 3 times. The slides were separated into three groups base on different datasets.
Project description:A cDNA microarray was constructed from the expressed sequence tags (ESTs) of different developmental stages, and comparative genome hybridization based on microarray procedures were carried out. Dermatophyte species are classified into three genera: Epidermophyton, Microsporum, and Trichophyton. To determine the relationship between these three groups comparative genome hybridization were used in our experiment. Trichophyton rubrum genmic DNA was reference DNA and labelled by Cy3 while the other dermatophytes genomic DNA were test DNA and labelled by CY5. Test and reference DNA were co-hybridized with the T. rubrum cDNA microarray and the numbers of genes shared between each species and T. rubrum were determined. Keywords: Comparative Genomic Hybridization
2010-05-04 | GSE7909 | GEO
Project description:Genome sequencing of the Trichophyton erinacei type strain IMI 101051 (ATCC 28443)
Project description:Dermatophytosis is a common and relevant zoonotic disease of public health concern, Various antifungal compounds, including clotrimazole, terbinafine, and ketoconazole have been reported for the treatment of dermatophytosis,In the present study,Transcriptome profile of T. mentagrophytes exposed to different drugs was performed in order to find the important drug antifungal active point.
Project description:During the pathogenesis of virus disease, lots of changes occur in plant hosts including the altered gene expression profiles. Rice stripe virus (RSV) is the type member of Tenuivirus, transmitted by Laodelphax striatellus in a circulative propagative man To investigate the molecular differences in two japonica rice genotypes WuYun3 and KT95-418 in response to RSV infection, Affymetrix rice genome array were used to analyze and compare their transcriptional profiles. Keywords: disease state analysis
