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Conditional Network Assembly and Targeted Protein Retention via Environmentally Responsive, Engineered ß-Roll Peptides.
Bulutoglu, Beyza; Yang, Sarah J; Banta, Scott.
Afiliação
  • Bulutoglu B; Department of Chemical Engineering, Columbia University , 500 West 120th Street, Room 801, New York, New York 10027, United States.
  • Yang SJ; Department of Chemical Engineering, Columbia University , 500 West 120th Street, Room 801, New York, New York 10027, United States.
  • Banta S; Department of Chemical Engineering, Columbia University , 500 West 120th Street, Room 801, New York, New York 10027, United States.
Biomacromolecules ; 18(7): 2139-2145, 2017 Jul 10.
Article em En | MEDLINE | ID: mdl-28578565
ABSTRACT
Stimulus-responsive biomaterials have applications in many areas of biotechnology, such as tissue engineering, drug delivery, and bioelectrocatalysis. The intrinsically disordered repeat-in-toxin (RTX) domain is a conformationally dynamic peptide that gains ß-roll secondary structure when bound to calcium ions. A smart hydrogel platform was constructed by genetically fusing two rationally designed mutant RTX domains first, a mutant peptide with hydrophobic interfaces capable of calcium-dependent network assembly, and second, another mutant that conditionally binds the model target protein lysozyme. In this way, the calcium-induced control over the secondary structure of the ß-roll peptide was exploited to regulate both the cross-linking and lysozyme-binding functionalities. The constructed biomaterial exhibited calcium-dependent gelation and target molecule retention, and erosion experiments showed that ß-roll peptides with a higher affinity for lysozyme produced more robust hydrogel networks. This work demonstrates the use of RTX domains for introducing two useful features simultaneously, network cross-linking and target protein binding, and that the calcium-dependent regulation of these systems can be useful for controlling bulk self-assembly and controlled release capabilities.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Peptídeos / Engenharia de Proteínas / Cálcio / Hidrogéis / Modelos Químicos Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2017 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Peptídeos / Engenharia de Proteínas / Cálcio / Hidrogéis / Modelos Químicos Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2017 Tipo de documento: Article