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Comparing Copy Number Variations and SNPs

Comparing Copy Number Variations and SNPs

Sequencing of the human genome has opened up several best-kept secrets of the genome. Scientists have identified thousands of genome variations that exist within a population. These variations can be a single nucleotide or a larger chromosomal variation.
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Updated: Jun 22, 2026

Detection of Copy Number Alterations Using Single Cell Sequencing

Detection of Copy Number Alterations Using Single Cell Sequencing

Published on: February 17, 2017

Analyzing origin activation patterns by copy number change experiments.

Miruthubashini Raveendranathan¹, Anja-Katrin Bielinsky

¹Department of Biochemistry, Molecular Biology and Biophysics, University of Minnesota, Minneapolis, MN, USA.

Methods in Molecular Biology (Clifton, N.J.)

|July 1, 2009

Summary

This summary is machine-generated.

This study developed a novel microarray to map DNA replication origins in yeast, revealing genome-wide activation patterns and the role of S phase checkpoints in regulating replication under stress.

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Area of Science:

Molecular Biology
Genetics
Cell Biology

Background:

Microarray technology advances DNA replication studies.
Genome-wide identification of replication origins in Saccharomyces cerevisiae is crucial for understanding replication dynamics.

Purpose of the Study:

To develop and validate a replication origin array for genome-wide analysis of DNA replication dynamics.
To investigate the role of S phase checkpoint kinases in regulating replication origin activation under replication stress.

Main Methods:

Developed a custom microarray containing approximately 430 potential yeast replication origins.
Arrested yeast cells in G1 and S phases.
Isolated and fluorescently labeled genomic DNA, then cohybridized to replication origin arrays to detect copy number changes.

Main Results:

Successfully generated genome-wide replication origin activation patterns in wild-type yeast, comparable to previous whole-genome array studies.
Applied the method to S phase checkpoint mutants, yielding insights into checkpoint kinase regulation of origin activation during replication stress.

Conclusions:

The developed replication origin array is a powerful tool for analyzing genome-wide replication dynamics.
This approach provides valuable insights into the regulation of DNA replication origin activation by S phase checkpoints under stress conditions.