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Updated: Feb 20, 2026

Studying Cell Cycle-regulated Gene Expression by Two Complementary Cell Synchronization Protocols
Published on: June 6, 2017
Transcriptomic Characterization of the Human Cell Cycle in Individual Unsynchronized Cells
Joakim Karlsson1, Thomas Kroneis2, Emma Jonasson3
1Department of Medical Biochemistry and Cell Biology, Institute of Biomedicine, The Sahlgrenska Academy, University of Gothenburg, SE-40530 Gothenburg, Sweden.
This study reveals the human cell cycle
Area of Science:
- Cell Biology
- Genomics
- Molecular Biology
Background:
- Cell cycle gene expression dynamics are crucial but often obscured by synchronization artifacts and bulk measurements.
- Previous studies on cell cycle progression relied on synchronization methods that may introduce experimental bias.
- Bulk cell measurements can mask the heterogeneity and intricate details of individual cell cycles.
Purpose of the Study:
- To provide the first detailed transcriptional profiling of an unsynchronized human cell cycle.
- To investigate cell cycle gene expression without artifacts from synchronization procedures.
- To identify novel regulatory elements and biological processes linked to the cell cycle.
Main Methods:
- Single-cell sorting and transcriptomic sequencing of unsynchronized human cells.
- Analysis of gene expression patterns across the cell cycle.
- Determination of regulatory sequence motifs associated with cell cycle genes.
Main Results:
- Confirmed known cell cycle genes and pathways, and identified associated regulatory motifs.
- Revealed significant heterogeneity within the G1 phase, with distinct early and late transcriptional profiles.
- Observed mRNA accumulation to peak levels at mitosis and reduced variability in stable transcripts.
Conclusions:
- Unsynchronized single-cell transcriptomics offers a more accurate view of cell cycle dynamics.
- The G1 phase exhibits unexpected transcriptional heterogeneity.
- Findings support the transcriptional burst model and highlight new links between biological processes and the cell cycle.
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07:59Author Spotlight: Alignment of Synchronized Time-Series Data Using the Characterizing Loss of Cell Cycle Synchrony Model for Cross-Experiment Comparisons
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