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Updated: Feb 15, 2026

In vitro Labeling of Human Embryonic Stem Cells for Magnetic Resonance Imaging
Published on: August 3, 2008
Triple S-Phase Labeling of Dividing Stem Cells
Oleg Podgorny1, Natalia Peunova2, June-Hee Park3
1Center for Developmental Genetics, Stony Brook University, Stony Brook, NY 11794, USA; Department of Anesthesiology, Stony Brook University, Stony Brook, NY 11794, USA; Moscow Institute of Physics and Technology, Moscow 123182, Russian Federation; Koltzov Institute of Developmental Biology RAS, Moscow 119334, Russian Federation.
This study introduces a novel method for triple S-phase labeling, enabling researchers to track cell division and birth date multiple cell cohorts. This technique enhances the study of DNA synthesis and cell cycle progression in various tissues.
Area of Science:
- Cell Biology
- Molecular Biology
- Neuroscience
Background:
- Multiple DNA labeling is crucial for understanding DNA synthesis and cell division.
- Previous methods were limited by label cross-reactivity and scarcity, hindering advancements beyond double labeling.
Purpose of the Study:
- To develop a robust method for triple S-phase labeling of dividing cells.
- To enable the simultaneous marking of cell cycle progression or cell phenotypes.
- To apply this method for detailed analysis of neural stem cell division and stem cell dynamics in other tissues.
Main Methods:
- Developed a novel triple S-phase labeling technique.
- Integrated a fourth label for cell cycle progression (e.g., Ki67) or lineage tracking (e.g., GFP reporter).
- Applied the method to study adult brain neural stem cell division and stem cell patterns in non-neural tissues.
Main Results:
- Successfully implemented triple S-phase labeling with a fourth marker.
- Enabled birth dating of up to four distinct cohorts of dividing cells.
- Provided insights into neural stem cell division parameters and stem cell division patterns in non-neural tissues.
Conclusions:
- The developed triple labeling method overcomes previous limitations, offering enhanced resolution for studying cell division.
- This technique facilitates detailed temporal analysis of cell division and lineage in complex biological systems.
- The findings contribute to a deeper understanding of stem cell dynamics and tissue regeneration.
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