An in silico pipeline to filter the Toxoplasma gondii proteome for proteins that could traffic to the host cell nucleus and influence host cell epigenetic regulation
Mem. Inst. Oswaldo Cruz
; 113(6): e170471, 2018. tab, graf
Article
en En
| LILACS
| ID: biblio-1040597
Biblioteca responsable:
BR1.1
ABSTRACT
Toxoplasma gondii uses epigenetic mechanisms to regulate both endogenous and host cell gene expression. To identify genes with putative epigenetic functions, we developed an in silico pipeline to interrogate the T. gondii proteome of 8313 proteins. Step 1 employs PredictNLS and NucPred to identify genes predicted to target eukaryotic nuclei. Step 2 uses GOLink to identify proteins of epigenetic function based on Gene Ontology terms. This resulted in 611 putative nuclear localised proteins with predicted epigenetic functions. Step 3 filtered for secretory proteins using SignalP, SecretomeP, and experimental data. This identified 57 of the 611 putative epigenetic proteins as likely to be secreted. The pipeline is freely available online, uses open access tools and software with user-friendly Perl scripts to automate and manage the results, and is readily adaptable to undertake any such in silico search for genes contributing to particular functions.
Palabras clave
Texto completo:
1
Colección:
01-internacional
Banco de datos:
LILACS
Asunto principal:
Toxoplasma
/
Simulación por Computador
/
Núcleo Celular
/
Proteoma
/
Epigénesis Genética
/
Interacciones Huésped-Parásitos
Tipo de estudio:
Prognostic_studies
Idioma:
En
Revista:
Mem. Inst. Oswaldo Cruz
Asunto de la revista:
MEDICINA TROPICAL
/
PARASITOLOGIA
Año:
2018
Tipo del documento:
Article
País de afiliación:
Australia