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A genome-wide 3C-method for characterizing the three-dimensional architectures of genomes.

Zhijun Duan | Mirela Andronescu | Kevin Schutz | Choli Lee | Jay Shendure | Stanley Fields | William S Noble | C Anthony Blau
Methods (San Diego, Calif.) | 2012

Accumulating evidence demonstrates that the three-dimensional (3D) organization of chromosomes within the eukaryotic nucleus reflects and influences genomic activities, including transcription, DNA replication, recombination and DNA repair. In order to uncover structure-function relationships, it is necessary first to understand the principles underlying the folding and the 3D arrangement of chromosomes. Chromosome conformation capture (3C) provides a powerful tool for detecting interactions within and between chromosomes. A high throughput derivative of 3C, chromosome conformation capture on chip (4C), executes a genome-wide interrogation of interaction partners for a given locus. We recently developed a new method, a derivative of 3C and 4C, which, similar to Hi-C, is capable of comprehensively identifying long-range chromosome interactions throughout a genome in an unbiased fashion. Hence, our method can be applied to decipher the 3D architectures of genomes. Here, we provide a detailed protocol for this method.

Pubmed ID: 22776363

Research resources used in this publication

None found

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Associated grants

  • Agency: Howard Hughes Medical Institute, United States
  • Agency: NCRR NIH HHS, United States
    Id: P41 RR011823
  • Agency: NIGMS NIH HHS, United States
    Id: P01GM081619
  • Agency: NIGMS NIH HHS, United States
    Id: P01 GM081619
  • Agency: NIGMS NIH HHS, United States
    Id: R01 GM098039
  • Agency: NCRR NIH HHS, United States
    Id: P41RR0011823

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Maq (tool)

RRID:SCR_005485

A set of programs that map and assemble fixed-length Solexa/SOLiD reads in a fast and accurate way.

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