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Related Concept Videos

Replication in Eukaryotes01:29

Replication in Eukaryotes

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In eukaryotic cells, DNA replication is highly conserved and tightly regulated. Multiple linear chromosomes must be duplicated with high fidelity before cell division, so there are many proteins that fulfill specialized roles in the replication process. Replication occurs in three phases: initiation, elongation, and termination, and ends with two complete sets of chromosomes in the nucleus.
Many Proteins Orchestrate Replication at the Origin
Eukaryotic replication follows many of the same...
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Related Experiment Video

Updated: Aug 5, 2025

G2-seq: A High Throughput Sequencing-based Technique for Identifying Late Replicating Regions of the Genome
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★Track: Inferred counting and tracking of replicating DNA loci.

Robin Köhler1, Ismath Sadhir1, Seán M Murray1

  • 1Max Planck Institute for Terrestrial Microbiology and LOEWE Centre for Synthetic Microbiology (SYNMIKRO), Marburg, Germany.

Biophysical Journal
|March 26, 2023
PubMed
Summary
This summary is machine-generated.

We developed ★Track, a new method for accurately tracking DNA in live cells. This tool improves quantitative measurements of DNA organization and replication, offering new insights into cellular processes.

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Determination of the Optimal Chromosomal Locations for a DNA Element in Escherichia coli Using a Novel Transposon-mediated Approach
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Area of Science:

  • Cellular and Molecular Biology
  • Genetics and Genomics
  • Biophysics

Background:

  • Fluorescent microscopy is key for studying DNA organization.
  • Live-cell imaging faces challenges like low signal-to-noise and variability, hindering quantitative analysis.
  • Accurate tracking of fluorescent particles (e.g., DNA loci) is crucial for mechanistic insights.

Purpose of the Study:

  • To introduce ★Track, an inference method for precise temporal tracking of intracellular DNA loci.
  • To enable accurate prediction of particle copy numbers and replication timing.
  • To overcome challenges in live-cell imaging for quantitative DNA organization studies.

Main Methods:

  • Developed ★Track, an inference method for temporal tracking of replicating intracellular particles.
  • Algorithm accounts for missing, merged, and spurious detections in live-cell imaging data.
  • Applied ★Track to analyze plasmid copy number control and bacterial chromosome replication.

Main Results:

  • ★Track enables accurate prediction of particle copy numbers and replication event timing.
  • Demonstrated new insights into plasmid copy number regulation.
  • Revealed the volume dependence of bacterial chromosome replication initiation.

Conclusions:

  • ★Track significantly enhances quantitative measurements in live-cell DNA organization studies.
  • The method facilitates uncovering mechanistic principles of chromosome organization and dynamics.
  • ★Track is applicable across a diverse range of biological systems for DNA dynamics research.