cDNA representational difference analysis used in the identification of genes expressed by Trichophyton rubrum during contact with keratin


Autoria(s): Baeza, Lilian Cristiane; Bailão, Alexandre Melo; Borges, Clayton Luiz; Pereira, Maristela; Soares, Célia Maria de Almeida; Mendes Giannini, Maria José Soares
Contribuinte(s)

Universidade Estadual Paulista (UNESP)

Data(s)

07/12/2015

07/12/2015

2007

Resumo

Dermatophytes are adapted to infect skin, hair and nails by their ability to utilize keratin as a nutrient source. Trichophyton rubrum is an anthropophilic fungus, causing up to 90% of chronic cases of dermatophytosis. The understanding of the complex interactions between the fungus and its host should include the identification of genes expressed during infection. To identify the genes involved in the infection process, representational difference analysis (RDA) was applied to two cDNA populations from T. rubrum, one transcribed from the RNA of fungus cultured in the presence of keratin and the other from RNA generated during fungal growth in minimal medium. The analysis identified differentially expressed transcripts. Genes related to signal transduction, membrane protein, oxidative stress response, and some putative virulence factors were up-regulated during the contact of the fungus with keratin. The expression patterns of these genes were also verified by real-time PCR, in conidia of T. rubrum infecting primarily cultured human keratinocytes in vitro, revealing their potential role in the infective process. A better understanding of this interaction will contribute significantly to our knowledge of the process of dermatophyte infection.

Formato

1415-1421

Identificador

http://dx.doi.org/10.1016/j.micinf.2007.07.005

Microbes And Infection / Institut Pasteur, v. 9, n. 12-13, p. 1415-1421, 2007.

1286-4579

http://hdl.handle.net/11449/130874

10.1016/j.micinf.2007.07.005

17905626

Idioma(s)

eng

Publicador

Elsevier B. V.

Relação

Microbes And Infection / Institut Pasteur

Direitos

closedAccess

Tipo

info:eu-repo/semantics/article