RESUMO
The 2013-2016 Ebola outbreak highlighted the limited treatment options and lack of rapid response strategies for emerging pathogen outbreaks. Here, we propose an efficient development cycle using glycoengineered Pichia pastoris to produce monoclonal antibody cocktails against pathogens. To enable rapid genetic engineering of P. pastoris, we introduced a genomic landing pad for reliable recombinase-mediated DNA integration. We then created strains expressing each of the three monoclonal antibodies that comprise the ZMapp cocktail, and demonstrated that the secreted antibodies bind to the Ebola virus glycoprotein by immunofluorescence assay. We anticipate that this approach could accelerate the production of therapeutics against future pathogen outbreaks.
Assuntos
Anticorpos Monoclonais , Anticorpos Antivirais , Ebolavirus/imunologia , Expressão Gênica , Pichia , Anticorpos Monoclonais/biossíntese , Anticorpos Monoclonais/genética , Anticorpos Monoclonais/imunologia , Anticorpos Antivirais/biossíntese , Anticorpos Antivirais/genética , Anticorpos Antivirais/imunologia , Humanos , Pichia/genética , Pichia/imunologia , Pichia/metabolismo , Proteínas Recombinantes/biossíntese , Proteínas Recombinantes/genética , Proteínas Recombinantes/imunologiaRESUMO
The internalization of near-infrared fluorescently labeled cargos into living cells and tissues allows a highly sensitive detection without interference from skin, porphins or other fluorescent cell and tissue compounds. In this study, the uptake of labeled bovine serum albumin and an antibody, into fibrosarcoma (HT-1080) cells was triggered by the formation of non-covalent complexes with different cell-penetrating peptides; uptake efficiency and intracellular localization were determined. To improve selectivity of internalization into tumor cells, a fluorescent activatable cell-penetrating peptide (ACPP) was synthesized and functionally characterized. This 25-mer peptide was designed to be activatable by Matrix-Metallo-Proteases (MMPs). Its uptake selectivity was estimated using cells with different MMP activities.