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A Microfluidics Approach for the Functional Investigation of Signaling Oscillations Governing Somitogenesis
Published on: March 19, 2021
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New insights into mammalian signaling pathways using microfluidic pulsatile inputs and mathematical modeling
M Sumit1, S Takayama2, J J Linderman3
1Biointerface Institute, North Campus Research Complex, University of Michigan, 2800 Plymouth Road, Ann Arbor, MI 48109, USA. takayama@umich.edu and Biophysics Graduate Program, University of Michigan, Ann Arbor, MI 48109, USA.
Integrative Biology : Quantitative Biosciences From Nano to Macro
|November 22, 2016
Summary
Temporal signaling patterns mimic natural cell communication, filtering noise and revealing hidden biological motifs. This approach offers insights into signaling pathways and applications in biotechnology and medicine.
Area of Science:
- Cellular and Molecular Biology
- Systems Biology
- Biophysics
Background:
- Biological systems utilize temporally modulated signals for efficient communication.
- Understanding these temporal dynamics is crucial for deciphering complex cellular responses.
- Biochemical noise can obscure important signaling events.
Purpose of the Study:
- To investigate the role of temporal motifs in mammalian signaling pathways.
- To decipher hidden temporal patterns and their contribution to cellular fate regulation.
- To develop a framework for understanding signaling circuit architectures.
Main Methods:
- Utilized microfluidic pulsatile stimulation to deliver precisely timed biochemical inputs.
- Employed mathematical modeling to analyze and interpret cellular responses to temporal stimuli.
- Investigated entrainment and phase-locking phenomena in cellular communication.
Main Results:
- Identified and deciphered previously unknown temporal motifs in mammalian signaling.
- Demonstrated how these motifs combine to form band-pass filters, regulating cell fate.
- Revealed mechanistic insights into signaling under dynamic microenvironmental conditions.
Conclusions:
- Temporally modulated input is a key strategy for filtering biochemical noise and enhancing signal detection.
- The developed approach provides a powerful tool for dissecting signaling circuit architectures.
- Applications span synthetic biology, biotechnology, pharmaceutical development, and lab-on-chip technologies.
