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The complex language of chromatin regulation during transcription

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  • Shelley L. Berger

    (The Wistar Institute, 3601 Spruce Street, Room 201, Philadelphia, Pennsylvania 19104, USA.)

Abstract

An important development in understanding the influence of chromatin on gene regulation has been the finding that DNA methylation and histone post-translational modifications lead to the recruitment of protein complexes that regulate transcription. Early interpretations of this phenomenon involved gene regulation reflecting predictive activating or repressing types of modification. However, further exploration reveals that transcription occurs against a backdrop of mixtures of complex modifications, which probably have several roles. Although such modifications were initially thought to be a simple code, a more likely model is of a sophisticated, nuanced chromatin 'language' in which different combinations of basic building blocks yield dynamic functional outcomes.

Suggested Citation

  • Shelley L. Berger, 2007. "The complex language of chromatin regulation during transcription," Nature, Nature, vol. 447(7143), pages 407-412, May.
  • Handle: RePEc:nat:nature:v:447:y:2007:i:7143:d:10.1038_nature05915
    DOI: 10.1038/nature05915
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    Cited by:

    1. Tsionas, Efthymios G. & Assaf, A. George & Matousek, Roman, 2015. "Dynamic technical and allocative efficiencies in European banking," Journal of Banking & Finance, Elsevier, vol. 52(C), pages 130-139.
    2. Dario Siniscalco & Alessandra Cirillo & James Jeffrey Bradstreet & Nicola Antonucci, 2013. "Epigenetic Findings in Autism: New Perspectives for Therapy," IJERPH, MDPI, vol. 10(9), pages 1-13, September.
    3. Yu Tao & Yuan Zhang & Xiaohong Jin & Nan Hua & Hong Liu & Renfei Qi & Zitong Huang & Yufang Sun & Dongsheng Jiang & Terrance P. Snutch & Xinghong Jiang & Jin Tao, 2023. "Epigenetic regulation of beta-endorphin synthesis in hypothalamic arcuate nucleus neurons modulates neuropathic pain in a rodent pain model," Nature Communications, Nature, vol. 14(1), pages 1-18, December.
    4. Yunfan Li & Dan Zhang & Mouxing Yang & Dezhong Peng & Jun Yu & Yu Liu & Jiancheng Lv & Lu Chen & Xi Peng, 2023. "scBridge embraces cell heterogeneity in single-cell RNA-seq and ATAC-seq data integration," Nature Communications, Nature, vol. 14(1), pages 1-14, December.

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