Engineering Approaches to Study Cellular Decision Making

Annu Rev Biomed Eng. 2018 Jun 4:20:49-72. doi: 10.1146/annurev-bioeng-062117-121011. Epub 2018 Jan 12.


In their native environment, cells are immersed in a complex milieu of biochemical and biophysical cues. These cues may include growth factors, the extracellular matrix, cell-cell contacts, stiffness, and topography, and they are responsible for regulating cellular behaviors such as adhesion, proliferation, migration, apoptosis, and differentiation. The decision-making process used to convert these extracellular inputs into actions is highly complex and sensitive to changes both in the type of individual cue (e.g., growth factor dose/level, timing) and in how these individual cues are combined (e.g., homotypic/heterotypic combinations). In this review, we highlight recent advances in the development of engineering-based approaches to study the cellular decision-making process. Specifically, we discuss the use of biomaterial platforms that enable controlled and tailored delivery of individual and combined cues, as well as the application of computational modeling to analyses of the complex cellular decision-making networks.

Keywords: cell–cell communication; extracellular matrix; growth factors; intracellular signaling; microfluidics.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't
  • Research Support, U.S. Gov't, Non-P.H.S.
  • Review

MeSH terms

  • Animals
  • Biocompatible Materials
  • Biomedical Engineering
  • Cell Adhesion
  • Cell Communication
  • Cell Differentiation
  • Computer Simulation
  • Extracellular Matrix / metabolism*
  • Humans
  • Intercellular Signaling Peptides and Proteins
  • Ligands
  • Mice
  • Microfluidics
  • Pressure
  • Signal Transduction
  • Tissue Engineering / methods*
  • Tissue Scaffolds


  • Biocompatible Materials
  • Intercellular Signaling Peptides and Proteins
  • Ligands