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Updated: Jun 18, 2025
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Chemical Dimerization-Induced Protein Condensates on Telomeres
Published on: April 12, 2021
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CoPixie, a novel algorithm for single-particle track colocalization, enables efficient quantification of telomerase
Samuel Prince1, Kamélia Maguemoun1, Mouna Ferdebouh1
1Department of Biochemistry and Molecular Medicine, Université de Montréal, Montréal, Québec H3T 1J4, Canada.
Nucleic Acids Research
|July 31, 2024
Summary
A new software, CoPixie, analyzes macromolecular interactions in cells. Cancer-associated POT1 mutations increase telomere accessibility and telomerase retention, impacting telomere elongation.
Area of Science:
- Cell biology
- Molecular dynamics
- Biophysics
Background:
- Single-particle imaging and tracking are vital for studying dynamic molecular interactions in living cells.
- Quantifying binding events at specific genomic loci using single-particle tracking remains a challenge.
Purpose of the Study:
- To introduce CoPixie, a novel software for identifying colocalization events between multiple imaging channels, including single-particle movies.
- To investigate the impact of cancer-associated POT1 mutations on telomere accessibility and telomerase interactions.
Main Methods:
- Developed CoPixie, an object-based colocalization algorithm using pixel and trajectory overlap.
- Utilized live-cell single-molecule imaging of telomerase and telomeres to analyze POT1 mutant effects.
Main Results:
- CoPixie successfully identifies colocalization events across unlimited imaging channels.
- POT1 mutants (Y223C, D224N, K90E) enhance telomere accessibility for telomerase.
- POT1-Y223C and POT1-K90E mutants prolong telomerase interaction duration at telomeres.
Conclusions:
- Cancer-associated POT1 mutations influence telomere elongation through increased telomere accessibility and enhanced telomerase retention.
- CoPixie is a versatile tool for studying macromolecular interactions, including protein-nucleic acid dynamics, using multicolor single-particle tracking.
