Data/hora: 12/06/2024 17:06:03

Provedor de dados: | 58
País: | Brazil
Título: | Production of recombinant human epidermal growth factor in Pichia pastoris
Autores: | Eissazadeh,Samira; Moeini,Hassan; Dezfouli,Maryam Ghandizadeh; Heidary,Somayyeh; Nelofer,Rubina; Abdullah,Mohd Puad.
Data: | 2017-06-01
Ano: | 2017
Palavras-chave: | Pichia pastoris; Human epidermal growth factor; Artificial neural network.
Resumo: | Abstract This study was carried out to express human epidermal growth factor (hEGF) in Pichia pastoris GS115. For this aim, the hEGF gene was cloned into the pPIC9K expression vector, and then integrated into P. pastoris by electroporation. ELISA-based assay showed that the amount of hEGF secreted into the medium can be affected by the fermentation conditions especially by culture medium, pH and temperature. The best medium for the optimal hEGF production was BMMY buffered at a pH range of 6.0 and 7.0. The highest amount of hEGF with an average yield of 2.27 µg/mL was obtained through an induction of the culture with 0.5% (v/v) methanol for 60 h. The artificial neural network (ANN) analysis revealed that changes in both pH and temperature significantly affected the hEGF production with the pH change had slightly higher impact on hEGF production than variations in the temperature.
Tipo: | Info:eu-repo/semantics/article
Idioma: | Inglês
Identificador: | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1517-83822017000200286
Editor: | Sociedade Brasileira de Microbiologia
Relação: | 10.1016/j.bjm.2016.10.017
Formato: | text/html
Fonte: | Brazilian Journal of Microbiology  v.48 n.2 2017
Fonte: | info:eu-repo/semantics/openAccess