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Cell-type specialization is encoded by specific chromatin topologies

Author

Listed:
  • Warren Winick-Ng

    (Berlin Institute for Medical Systems Biology, Epigenetic Regulation and Chromatin Architecture Group)

  • Alexander Kukalev

    (Berlin Institute for Medical Systems Biology, Epigenetic Regulation and Chromatin Architecture Group)

  • Izabela Harabula

    (Berlin Institute for Medical Systems Biology, Epigenetic Regulation and Chromatin Architecture Group
    Institute of Biology, Humboldt-Universität zu Berlin)

  • Luna Zea-Redondo

    (Berlin Institute for Medical Systems Biology, Epigenetic Regulation and Chromatin Architecture Group
    Institute of Biology, Humboldt-Universität zu Berlin)

  • Dominik Szabó

    (Berlin Institute for Medical Systems Biology, Epigenetic Regulation and Chromatin Architecture Group
    Institute of Biology, Humboldt-Universität zu Berlin)

  • Mandy Meijer

    (Karolinska Institutet)

  • Leonid Serebreni

    (Berlin Institute for Medical Systems Biology, Epigenetic Regulation and Chromatin Architecture Group
    Vienna Biocenter (VBC))

  • Yingnan Zhang

    (Ohio University)

  • Simona Bianco

    (Università di Napoli Federico II, and INFN Napoli, Complesso Universitario di Monte Sant’Angelo)

  • Andrea M. Chiariello

    (Università di Napoli Federico II, and INFN Napoli, Complesso Universitario di Monte Sant’Angelo)

  • Ibai Irastorza-Azcarate

    (Berlin Institute for Medical Systems Biology, Epigenetic Regulation and Chromatin Architecture Group)

  • Christoph J. Thieme

    (Berlin Institute for Medical Systems Biology, Epigenetic Regulation and Chromatin Architecture Group)

  • Thomas M. Sparks

    (Berlin Institute for Medical Systems Biology, Epigenetic Regulation and Chromatin Architecture Group)

  • Sílvia Carvalho

    (Berlin Institute for Medical Systems Biology, Epigenetic Regulation and Chromatin Architecture Group
    Universidade NOVA de Lisboa
    Universidade do Porto
    Universidade do Porto)

  • Luca Fiorillo

    (Università di Napoli Federico II, and INFN Napoli, Complesso Universitario di Monte Sant’Angelo)

  • Francesco Musella

    (Università di Napoli Federico II, and INFN Napoli, Complesso Universitario di Monte Sant’Angelo)

  • Ehsan Irani

    (Berlin Institute for Medical Systems Biology, Epigenetic Regulation and Chromatin Architecture Group
    Berlin Institute of Health)

  • Elena Torlai Triglia

    (Berlin Institute for Medical Systems Biology, Epigenetic Regulation and Chromatin Architecture Group
    Broad Institute of MIT and Harvard)

  • Aleksandra A. Kolodziejczyk

    (University of Cambridge
    Wellcome Genome Campus, Hinxton
    Weizmann Institute of Science)

  • Andreas Abentung

    (Medical University of Innsbruck
    Norwegian University of Science and Technology)

  • Galina Apostolova

    (Medical University of Innsbruck)

  • Eleanor J. Paul

    (Imperial College London
    King’s College London
    King’s College London)

  • Vedran Franke

    (Berlin Institute for Medical Systems Biology, Bioinformatics and Omics Data Science Platform)

  • Rieke Kempfer

    (Berlin Institute for Medical Systems Biology, Epigenetic Regulation and Chromatin Architecture Group
    Institute of Biology, Humboldt-Universität zu Berlin)

  • Altuna Akalin

    (Berlin Institute for Medical Systems Biology, Bioinformatics and Omics Data Science Platform)

  • Sarah A. Teichmann

    (University of Cambridge
    Wellcome Genome Campus, Hinxton)

  • Georg Dechant

    (Medical University of Innsbruck)

  • Mark A. Ungless

    (Imperial College London)

  • Mario Nicodemi

    (Università di Napoli Federico II, and INFN Napoli, Complesso Universitario di Monte Sant’Angelo
    Berlin Institute of Health)

  • Lonnie Welch

    (Ohio University)

  • Gonçalo Castelo-Branco

    (Karolinska Institutet
    Karolinska Institutet)

  • Ana Pombo

    (Berlin Institute for Medical Systems Biology, Epigenetic Regulation and Chromatin Architecture Group
    Institute of Biology, Humboldt-Universität zu Berlin
    Berlin Institute of Health)

Abstract

The three-dimensional (3D) structure of chromatin is intrinsically associated with gene regulation and cell function1–3. Methods based on chromatin conformation capture have mapped chromatin structures in neuronal systems such as in vitro differentiated neurons, neurons isolated through fluorescence-activated cell sorting from cortical tissues pooled from different animals and from dissociated whole hippocampi4–6. However, changes in chromatin organization captured by imaging, such as the relocation of Bdnf away from the nuclear periphery after activation7, are invisible with such approaches8. Here we developed immunoGAM, an extension of genome architecture mapping (GAM)2,9, to map 3D chromatin topology genome-wide in specific brain cell types, without tissue disruption, from single animals. GAM is a ligation-free technology that maps genome topology by sequencing the DNA content from thin (about 220 nm) nuclear cryosections. Chromatin interactions are identified from the increased probability of co-segregation of contacting loci across a collection of nuclear slices. ImmunoGAM expands the scope of GAM to enable the selection of specific cell types using low cell numbers (approximately 1,000 cells) within a complex tissue and avoids tissue dissociation2,10. We report cell-type specialized 3D chromatin structures at multiple genomic scales that relate to patterns of gene expression. We discover extensive ‘melting’ of long genes when they are highly expressed and/or have high chromatin accessibility. The contacts most specific of neuron subtypes contain genes associated with specialized processes, such as addiction and synaptic plasticity, which harbour putative binding sites for neuronal transcription factors within accessible chromatin regions. Moreover, sensory receptor genes are preferentially found in heterochromatic compartments in brain cells, which establish strong contacts across tens of megabases. Our results demonstrate that highly specific chromatin conformations in brain cells are tightly related to gene regulation mechanisms and specialized functions.

Suggested Citation

  • Warren Winick-Ng & Alexander Kukalev & Izabela Harabula & Luna Zea-Redondo & Dominik Szabó & Mandy Meijer & Leonid Serebreni & Yingnan Zhang & Simona Bianco & Andrea M. Chiariello & Ibai Irastorza-Azc, 2021. "Cell-type specialization is encoded by specific chromatin topologies," Nature, Nature, vol. 599(7886), pages 684-691, November.
  • Handle: RePEc:nat:nature:v:599:y:2021:i:7886:d:10.1038_s41586-021-04081-2
    DOI: 10.1038/s41586-021-04081-2
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    Cited by:

    1. Albert Stuart Reece & Gary Kenneth Hulse, 2022. "Cannabis- and Substance-Related Epidemiological Patterns of Chromosomal Congenital Anomalies in Europe: Geospatiotemporal and Causal Inferential Study," IJERPH, MDPI, vol. 19(18), pages 1-51, September.

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