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Related Experiment Video

Updated: Jul 13, 2026

Optimized Protocol for the Extraction of Proteins from the Human Mitral Valve
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Dynamic proteomics in mammalian cells: capabilities and challenges.

Ron Milo1

  • 1Department of Systems Biology, Harvard Medical School, Boston, MA 02115, USA. ron_milo@hms.harvard.edu

Molecular Biosystems
|July 20, 2007
PubMed
Summary

Dynamic proteomics enables single-cell protein visualization and quantification. This approach integrates gene tagging, microscopy, and image analysis for cell cycle protein dynamics and expression variability insights.

Related Concept Videos

Proteomics01:33

Proteomics

A proteome is the entire set of proteins that a cell type produces. We can study proteomes using the knowledge of genomes because genes code for mRNAs, and the mRNAs encode proteins. Although mRNA analysis is a step in the right direction, not all mRNAs are translated into proteins.
Proteomics is the study of proteomes' function. It involves the large-scale systematic study of the proteome to denote the protein complement expressed by a genome. Scientist Mark Wilkins coined the term proteomics...

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Area of Science:

  • Molecular Biology
  • Cell Biology
  • Biophysics

Background:

  • Visualizing and quantifying all proteins at the single-cell level under endogenous regulation over time is a long-standing goal in molecular biology.
  • Recent advancements in protein tagging, microscopy, and image analysis have significantly progressed towards achieving this objective.
  • Integrating these diverse techniques to obtain proteome-wide results remains a key challenge.

Purpose of the Study:

  • To review a specific approach for achieving dynamic proteomics at the single-cell level.
  • To highlight the potential of integrating random endogenous gene tagging, high-throughput incubated time-lapse microscopy, and automated image analysis.
  • To demonstrate how this integrated approach can yield insights into protein dynamics and expression variability.

Main Methods:

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  • Random endogenous gene tagging for native protein visualization.
  • High-throughput incubated time-lapse microscopy for dynamic observation.
  • Automated image analysis for quantitative data extraction.

Main Results:

  • Provides information on protein accumulation rates throughout the cell cycle.
  • Enables the quantification of protein level expression variability within cell populations.
  • Offers a framework for proteome-scale dynamic analysis.

Conclusions:

  • Dynamic proteomics, using the reviewed integrated approach, brings the goal of single-cell, proteome-wide, real-time protein analysis closer.
  • This methodology has the potential to address fundamental questions in cell biology, including signal transduction pathways.
  • It paves the way for complex biological investigations requiring dynamic proteomic data.