Stable anchoring of bacteria-based protein nanoparticles for surface enhanced cell guidance

Marc Martínez-Miguel, Marc Martínez-Miguel, Adriana R. Kyvik, Adriana R. Kyvik, Lena M. Ernst, Albert Martínez-Moreno, Olivia Cano-Garrido, Olivia Cano-Garrido, Elena Garcia-Fruitós, Elena Garcia-Fruitós, Elena Garcia-Fruitós, Esther Vazquez, Esther Vazquez, Nora Ventosa, Nora Ventosa, Judith Guasch, Judith Guasch, Judith Guasch, Jaume Veciana, Jaume VecianaAntonio Villaverde, Antonio Villaverde, Imma Ratera, Imma Ratera

Research output: Contribution to journalArticleResearchpeer-review

Abstract

In tissue engineering, biological, physical, and chemical inputs have to be combined to properly mimic cellular environments and successfully build artificial tissues which can be designed to fulfill different biomedical needs such as the shortage of organ donors or the development of in vitro disease models for drug testing. Inclusion body-like protein nanoparticles (pNPs) can simultaneously provide such physical and biochemical stimuli to cells when attached to surfaces. However, this attachment has only been made by physisorption. To provide a stable anchoring, a covalent binding of lactic acid bacteria (LAB) produced pNPs, which lack the innate pyrogenic impurities of Gram-negative bacteria like Escherichia coli, is presented. The reported micropatterns feature a robust nanoscale topography with an unprecedented mechanical stability. In addition, they are denser and more capable of influencing cell morphology and orientation. The increased stability and the absence of pyrogenic impurities represent a step forward towards the translation of this material to a clinical setting. This journal is

Original languageAmerican English
Pages (from-to)5080-5088
Number of pages9
JournalJournal of Materials Chemistry B
Volume8
Issue number23
DOIs
Publication statusPublished - 21 Jun 2020

Fingerprint Dive into the research topics of 'Stable anchoring of bacteria-based protein nanoparticles for surface enhanced cell guidance'. Together they form a unique fingerprint.

Cite this