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Related Experiment Video

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Hi-C: A Method to Study the Three-dimensional Architecture of Genomes.
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Tracing cancer evolution and heterogeneity using Hi-C.

Dan Daniel Erdmann-Pham1,2, Sanjit Singh Batra3, Timothy K Turkalo4

  • 1Department of Mathematics, University of California, Berkeley, CA, 94720, USA.

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|November 6, 2023
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Summary

HiDENSEC analyzes complex cancer genomes to reveal large chromosomal rearrangements driving melanoma progression. This computational framework enhances understanding of cancer evolution and identifies key disrupted genes.

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Area of Science:

  • Genomics
  • Cancer Biology
  • Computational Biology

Background:

  • Chromosomal rearrangements are key drivers of cancer progression.
  • Evaluating their impact in heterogeneous solid tumors is challenging.
  • Existing methods struggle with complex genomic alterations.

Purpose of the Study:

  • To develop a computational framework, HiDENSEC, for analyzing chromatin conformation capture data in heterogeneous cancer samples.
  • To infer somatic copy number alterations, characterize large-scale chromosomal rearrangements, and estimate cancer cell fractions.
  • To investigate chromosome-scale evolution during melanoma progression.

Main Methods:

  • Development of HiDENSEC, a novel computational framework.
  • Analysis of chromatin conformation capture data from formalin-fixed melanoma samples.
  • Validation using in silico and in vitro controls.

Main Results:

  • HiDENSEC successfully inferred copy number alterations, chromosomal rearrangements, and cancer cell fractions.
  • Characterization of chromosome-scale evolution in melanoma progression.
  • Identification of copy number neutral translocations disrupting NF1, whole chromosome arm exchanges leading to CDKN2A loss, and PTEN-involving loss of homozygosity.

Conclusions:

  • Large-scale chromosomal rearrangements are integral to cancer evolution.
  • HiDENSEC provides a powerful tool for characterizing these events in heterogeneous cancers.
  • Understanding these genomic events offers insights into melanoma drivers.