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Updated: May 20, 2026

Parallel Measurement of Circadian Clock Gene Expression and Hormone Secretion in Human Primary Cell Cultures

Parallel Measurement of Circadian Clock Gene Expression and Hormone Secretion in Human Primary Cell Cultures

Published on: November 11, 2016

Systems biology of cellular rhythms.

A Goldbeter¹, C Gérard, D Gonze

¹Unité de Chronobiologie théorique, Faculté des Sciences, Université Libre de Bruxelles (ULB), Campus Plaine, CP 231, B-1050 Brussels, Belgium. agoldbet@ulb.ac.be

|July 31, 2012

Summary

Biological systems exhibit cellular rhythms originating from regulatory network feedback loops. This review covers biochemical oscillations, including synthetic biology applications and their robustness to noise.

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Area of Science:

Biochemistry and Systems Biology
Synthetic Biology
Cellular Dynamics

Background:

Cellular rhythms are fundamental to biological systems, arising from feedback loops in regulatory networks.
Investigating cellular rhythms employs both experimental and modeling approaches, making them a key area in systems biology.
Cellular rhythms are increasingly important in synthetic biology applications.

Purpose of the Study:

To review advances in the study of biochemical cellular rhythms.
To explore various oscillatory processes, including calcium oscillations, circadian rhythms, the segmentation clock, p53 and NF-κB oscillations, synthetic oscillators, and cell cycle dynamics.
To discuss the coupling and robustness of cellular rhythms against molecular noise.

Main Methods:

Review of existing literature on cellular rhythms.
Analysis of diverse biochemical oscillatory systems.
Discussion of theoretical concepts like network feedback loops and molecular noise.

Main Results:

Comprehensive overview of biochemical oscillatory processes in biological systems.
Highlights the role of feedback loops in generating cellular rhythms.
Examines the impact of molecular noise on rhythm robustness.

Conclusions:

Cellular rhythms are a fundamental aspect of biology, driven by regulatory networks.
Systems and synthetic biology offer powerful tools for studying these rhythms.
Understanding rhythm coupling and noise resilience is crucial for future research.