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Published on: April 27, 2019

An RNF4-Based Tool for Tracking Subcellular Localization of PolySUMOylation During Cellular Stress.

Joseph S Floramo¹, Yaguang Zhao¹, Lorna Cohen²

¹Department of Cell Biology, Van Andel Institute, Grand Rapids, MI 49503, USA.

|May 27, 2026

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Researchers developed a new tool to visualize polySUMOylation dynamics. This method tracks polySUMOylation in cells under stress, advancing the study of cellular responses and disease.

Area of Science:

Cell Biology
Molecular Biology
Biochemistry

Background:

SUMOylation is a dynamic post-translational modification crucial for regulating protein stability and cellular processes, particularly stress responses.
Existing proteomic methods can analyze SUMOylated proteins but lack the ability to visualize polySUMOylation dynamics in real-time.
Understanding polySUMOylation is vital for deciphering cellular stress responses and pathogenesis.

Purpose of the Study:

To develop and validate a novel tool for visualizing and quantifying polySUMOylation dynamics in living cells.
To enable the study of polySUMOylation under various cellular stress conditions.
To provide insights into the role of polySUMOylation in cellular stress responses and disease.

Main Methods:

Keywords:

cellular stress microscopy nuclear puncta polySUMOylation

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Last Updated: May 28, 2026

Localization of SUMO-modified Proteins Using Fluorescent Sumo-trapping Proteins

Localization of SUMO-modified Proteins Using Fluorescent Sumo-trapping Proteins

Published on: April 27, 2019

Analysis of Translation Initiation During Stress Conditions by Polysome Profiling

Analysis of Translation Initiation During Stress Conditions by Polysome Profiling

Published on: May 19, 2014

Development of a polySUMOylation tracking tool utilizing fluorescently labeled polySIM domains from RNF4.

Application of the tool to track polySUMOylation location, number, and intensity in cells.

Testing the tool under diverse stress conditions including serum starvation, oxidative stress, and genotoxic stress.

Main Results:

The developed tool reliably tracks polySUMOylation dynamics.
PolySUMOylation levels were successfully correlated with puncta number and intensity.
The tool demonstrated utility across multiple cellular contexts and stress states.

Conclusions:

The novel polySUMOylation tracking tool facilitates deeper investigation into polySUMOylation dynamics.
This advancement aids in understanding how polySUMOylation regulates cellular processes during stress responses.
The tool has potential applications in studying disease pathogenesis involving SUMOylation pathways.