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Chromatin conformation analysis of primary patient tissue using a low input Hi-C method

Author

Listed:
  • Noelia Díaz

    (Max Planck Institute for Molecular Biomedicine)

  • Kai Kruse

    (Max Planck Institute for Molecular Biomedicine)

  • Tabea Erdmann

    (University Hospital Muenster)

  • Annette M. Staiger

    (Robert-Bosch-Hospital
    Dr. Margarete Fischer Bosch Institute of Clinical Pharmacology
    Eberhard Karls Universität Tübingen, Geschwister-Scholl-Platz)

  • German Ott

    (Robert-Bosch-Hospital)

  • Georg Lenz

    (University Hospital Muenster)

  • Juan M. Vaquerizas

    (Max Planck Institute for Molecular Biomedicine)

Abstract

Chromatin conformation constitutes a fundamental level of eukaryotic genome regulation. However, our ability to examine its biological function and role in disease is limited by the large amounts of starting material required to perform current experimental approaches. Here, we present Low-C, a Hi-C method for low amounts of input material. By systematically comparing Hi-C libraries made with decreasing amounts of starting material we show that Low-C is highly reproducible and robust to experimental noise. To demonstrate the suitability of Low-C to analyse rare cell populations, we produce Low-C maps from primary B-cells of a diffuse large B-cell lymphoma patient. We detect a common reciprocal translocation t(3;14)(q27;q32) affecting the BCL6 and IGH loci and abundant local structural variation between the patient and healthy B-cells. The ability to study chromatin conformation in primary tissue will be fundamental to fully understand the molecular pathogenesis of diseases and to eventually guide personalised therapeutic strategies.

Suggested Citation

  • Noelia Díaz & Kai Kruse & Tabea Erdmann & Annette M. Staiger & German Ott & Georg Lenz & Juan M. Vaquerizas, 2018. "Chromatin conformation analysis of primary patient tissue using a low input Hi-C method," Nature Communications, Nature, vol. 9(1), pages 1-13, December.
  • Handle: RePEc:nat:natcom:v:9:y:2018:i:1:d:10.1038_s41467-018-06961-0
    DOI: 10.1038/s41467-018-06961-0
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    Cited by:

    1. Sandhya Adhikari & Gresha Suwal & Binita Suwal & Nisha Bashyal & Roshma Pandey, 2021. "Plant Breeding Approaches For Combating Impact Of Climate Change In Agriculture Production: A Review," Tropical Agroecosystems (TAEC), Zibeline International Publishing, vol. 2(1), pages 1-5, January.

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