This process opens up possibilities for building complex biological structures with cells embedded in an ink which recreates their native environment, such as body tissue, and therefore recreating biological scenarios or tissues with molecular control.
The approach uses a self-assembling ink that can chemically and structurally resemble the cells’ natural surrounding environment. This capability has implications for tissue engineering, drug screening methods, and regenerative medicine as it introduces the potential to recreate biological scenarios or tissues with molecular control.
The technique can be used to fabricate complex macroscopic structures, using cells and biomolecules normally found in natural tissues, so that they resemble naturally occurring structures. The applications of a technique which can create complex patterns that mimic naturally occurring forms are varied.
Biological constructs resembling specific cell environments and tissues can be designed and created for use in different fields such as tissue engineering, to test drugs in a more efficient manner, and regenerative medicine. Complex biological scenarios (such as niches where cancer grows and where the immune cells interact with other cells) can be constructed and used to study a variety of diseases.
Previous investigations into the use of self-assembling materials as inks for bioprinting have focused on self-assembling peptides that can gel over dry surfaces, maintaining their shape and ability to encapsulate cells.
This new study presents a number of advantages over previous techniques, including being able to incorporate multiple macromolecules, recreating the way these molecules are presented in in vivo. Furthermore, the study opens new opportunities in biofabrication by enabling for the first time the possibility to control biomolecular and physical elements at the molecular, nano and microscale.
Link to the full paper: Hydrodynamically Guided Hierarchical Self-Assembly of Peptide–Protein Bioinks, Advanced Functional Materials, February 2018
This work was supported by the ERC Starting Grant (STROFUNSCAFF), the FP7-PEOPLE-2013-CIG Biomorph, the Royal Society, and the European Space Agency (Drop My Thesis program, 2016).
Story courtesy of the Department of Engineering Science