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Related Experiment Videos

End-sequence profiling: sequence-based analysis of aberrant genomes.

Stanislav Volik1, Shaying Zhao, Koei Chin

  • 1Cancer Research Institute and Department of Laboratory Medicine, University of California Comprehensive Cancer Center, 2340 Sutter Street, San Francisco, CA 94115, USA.

Proceedings of the National Academy of Sciences of the United States of America
|June 6, 2003
PubMed
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End-sequence profiling (ESP) precisely maps genome rearrangements, aiding in identifying genes involved in evolution and diseases like cancer. This technique offers high-resolution copy number mapping and breakpoint identification in complex genomes.

Area of Science:

  • Genomics
  • Molecular Biology
  • Bioinformatics

Background:

  • Genome rearrangements play critical roles in evolution, cancer, and various diseases.
  • Accurate mapping of these rearrangements is crucial for identifying affected genes.
  • Existing techniques for mapping rearrangements have limitations.

Purpose of the Study:

  • To demonstrate the utility of end-sequence profiling (ESP) for high-resolution mapping of genome rearrangements.
  • To analyze the complex genome of the breast cancer cell line MCF-7 using ESP.

Main Methods:

  • Constructing a bacterial artificial chromosome (BAC) library from the test genome.
  • Measuring BAC end sequences and mapping paired-end sequences to a reference genome.
  • Analyzing BAC end-sequence density plots to identify copy number abnormalities and structural aberrations.

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Main Results:

  • ESP identified copy number abnormalities at high resolution.
  • BACs spanning structural aberrations showed end pairs mapping abnormally far apart.
  • Analysis of the MCF-7 cell line yielded a comprehensive genome copy number map at >300-kb resolution.
  • 381 genome breakpoints were identified in MCF-7, with a subset validated by FISH and sequencing.

Conclusions:

  • End-sequence profiling (ESP) is a powerful and well-suited technique for precise genome rearrangement mapping.
  • ESP provides high-resolution copy number mapping and breakpoint identification, crucial for understanding genetic alterations in diseases.
  • ESP analysis is effective for complex genomes, as demonstrated in the MCF-7 breast cancer cell line.