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Related Experiment Video

Updated: Jan 6, 2026

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline
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Visualizing genetic information flow in space and time.

Kaijin Chen1, Kun Zhao1, Yihan Wan2

  • 1Westlake Laboratory of Life Sciences and Biomedicine, School of Life Sciences, Westlake University, Hangzhou, 310024, China.

Science China. Life Sciences
|November 24, 2025
PubMed
Summary
This summary is machine-generated.

Dynamic DNA and RNA imaging reveals real-time genetic information flow, essential for understanding cellular processes. These advanced live-cell visualization techniques offer new insights into gene expression and molecular mechanisms.

Keywords:
DNARNAchromatindynamicslive-cell imagingsingle-cellsingle-moleculespatiotemporal

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Area of Science:

  • Molecular Biology
  • Cell Biology
  • Biophysics

Background:

  • Cellular processes rely on dynamic genetic information flow, but current understanding is limited by static measurements.
  • Real-time visualization of genetic information flow is crucial for elucidating underlying molecular mechanisms.
  • Advances in imaging and computational analysis enable dynamic studies of genetic processes.

Purpose of the Study:

  • To review historical development, principles, and implementations of dynamic DNA and RNA imaging.
  • To compare capabilities, limitations, and applications of various imaging techniques.
  • To highlight biological insights gained from dynamic imaging approaches.

Main Methods:

  • Live-cell imaging
  • Single-molecule fluorescence microscopy
  • Super-resolution microscopy
  • Gene editing
  • Computational analysis

Main Results:

  • Dynamic imaging provides insights into chromatin dynamics, transcriptional bursting, RNA processing, transport, and localized translation.
  • Multimodal integration with biochemical and genomic techniques enhances mechanistic interpretation.
  • Current challenges and necessary breakthroughs in dynamic imaging are identified.

Conclusions:

  • Dynamic imaging of genetic information flow is essential for understanding complex cellular systems.
  • Further advancements are needed to fully decipher the operational principles of non-equilibrium complex systems.
  • This field holds potential for unlocking the organizational logic of living systems.