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Front Immunol. 2019 Apr 11;10:755. doi: 10.3389/fimmu.2019.00755. eCollection 2019.

Techniques for Studying Decoding of Single Cell Dynamics.

Jeknić S1,2, Kudo T2,3, Covert MW1,2,3.

Author information

1
Department of Bioengineering, Stanford University, Stanford, CA, United States.
2
Allen Discovery Center for Systems Modeling of Infection, Stanford, CA, United States.
3
Department of Chemical and Systems Biology, Stanford University, Stanford, CA, United States.

Abstract

Cells must be able to interpret signals they encounter and reliably generate an appropriate response. It has long been known that the dynamics of transcription factor and kinase activation can play a crucial role in selecting an individual cell's response. The study of cellular dynamics has expanded dramatically in the last few years, with dynamics being discovered in novel pathways, new insights being revealed about the importance of dynamics, and technological improvements increasing the throughput and capabilities of single cell measurements. In this review, we highlight the important developments in this field, with a focus on the methods used to make new discoveries. We also include a discussion on improvements in methods for engineering and measuring single cell dynamics and responses. Finally, we will briefly highlight some of the many challenges and avenues of research that are still open.

KEYWORDS:

decoding; dynamics; encoding; live cell microscopy; signaling; single cell

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