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Emerging Trends in Information‐Driven Engineering of Complex Biological Systems
Author(s) -
Steier Anke,
Muñiz Ayşe,
Neale Dylan,
Lahann Joerg
Publication year - 2019
Publication title -
advanced materials
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 10.707
H-Index - 527
eISSN - 1521-4095
pISSN - 0935-9648
DOI - 10.1002/adma.201806898
Subject(s) - biofabrication , pipeline (software) , nanotechnology , synthetic biology , computer science , tissue engineering , systems engineering , biochemical engineering , materials science , engineering , computational biology , biology , biomedical engineering , programming language
Synthetic biological systems are used for a myriad of applications, including tissue engineered constructs for in vivo use and microengineered devices for in vitro testing. Recent advances in engineering complex biological systems have been fueled by opportunities arising from the combination of bioinspired materials with biological and computational tools. Driven by the availability of large datasets in the “omics” era of biology, the design of the next generation of tissue equivalents will have to integrate information from single‐cell behavior to whole organ architecture. Herein, recent trends in combining multiscale processes to enable the design of the next generation of biomaterials are discussed. Any successful microprocessing pipeline must be able to integrate hierarchical sets of information to capture key aspects of functional tissue equivalents. Micro‐ and biofabrication techniques that facilitate hierarchical control as well as emerging polymer candidates used in these technologies are also reviewed.