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(Referência obtida automaticamente do Web of Science, por meio da informação sobre o financiamento pela FAPESP e o número do processo correspondente, incluída na publicação pelos autores.)

In silico identification of glycosylphosphatidylinositol-anchored proteins in Paracoccidioides spp.

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Autor(es):
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Goncales, Relber A. [1, 2] ; Salamanca, Ayda L. M. [3] ; Junior, Luiz R. B. [4] ; Silva, Kleber S. F. [3] ; de Vasconcelos, Elton J. R. [5] ; dos Reis, Thaila F. [6] ; Castro, Ricardo C. [6] ; Ruy, Patricia de C. [4] ; Romagnoli, Barbara [4] ; Ruiz, Jeronimo [7] ; Pereira, Maristela [3] ; Soares, Celia M. [3] ; Coelho, Paulo S. R. [4]
Número total de Autores: 13
Afiliação do(s) autor(es):
[1] ICVS 3Bs PT Govt Associate Lab, Braga - Portugal
[2] Univ Minho, Sch Med, Life & Hlth Sci Res Inst ICVS, P-4710057 Braga - Portugal
[3] Univ Fed Goias UFG, Inst Ciencias Biol ICB 2, Dept Bioquim & Biol Mol, BR-74690900 Goiania, Go - Brazil
[4] Univ Sao Paulo, Fac Med Ribeirao Preto FMRP, Dept Cellular & Mol Biol & Pathogen Bioagents, BR-14049900 Ribeirao Preto - Brazil
[5] Western Univ Hlth Sci, Coll Vet Med, Pomona, CA 91766 - USA
[6] Univ Sao Paulo, Fac Ciencias Farmaceut Ribeirao Preto, BR-14040900 Ribeirao Preto - Brazil
[7] Fundacao Oswaldo Cruz, Inst Rene Rachaou IRR, BR-30190002 Belo Horizonte, MG - Brazil
Número total de Afiliações: 7
Tipo de documento: Artigo Científico
Fonte: FUTURE MICROBIOLOGY; v. 16, n. 8, p. 589-606, MAY 2021.
Citações Web of Science: 0
Resumo

Aim: To predict glycosylphosphatidylinositol (GPI)-anchored proteins in the genome of Paracoccidioides brasiliensis and Paracoccidioides lutzii. Materials \& methods: Five different bioinformatics tools were used for predicting GPI-anchored proteins; we considered as GPI-anchored proteins those detected by at least two in silico analysis methods. We also performed the proteomic analysis of P. brasiliensis cell wall by mass spectrometry. Results: Hundred GPI-anchored proteins were predicted in P. brasiliensis and P. lutzii genomes. A series of 57 proteins were classified in functional categories and 43 conserved proteins were reported with unknown functions. Four proteins identified by in silico analyses were also identified in the cell wall proteome. Conclusion: The data obtained in this study are important resources for future research of GPI-anchored proteins in Paracoccidioides spp. to identify targets for new diagnostic tools, drugs and immunological tests. (AU)

Processo FAPESP: 14/22561-7 - Superexpressão da paracoccina: fenótipo e virulência de linhagens de Paracoccidioides brasiliensis
Beneficiário:Relber Aguiar Gonçales
Modalidade de apoio: Bolsas no Brasil - Doutorado