Three-dimensional chromatin landscapes in T cell acute lymphoblastic leukemia

Andreas Kloetgen, Palaniraja Thandapani, Panagiotis Ntziachristos, Yohana Ghebrechristos, Sofia Nomikou, Charalampos Lazaris, Xufeng Chen, Hai Hu, Sofia Bakogianni, Jingjing Wang, Yi Fu, Francesco Boccalatte, Hua Zhong, Elisabeth Paietta, Thomas Trimarchi, Yixing Zhu, Pieter Van Vlierberghe, Giorgio G. Inghirami, Timothee Lionnet, Iannis Aifantis*Aristotelis Tsirigos

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

126 Scopus citations

Abstract

Differences in three-dimensional (3D) chromatin architecture can influence the integrity of topologically associating domains (TADs) and rewire specific enhancer–promoter interactions, impacting gene expression and leading to human disease. Here we investigate the 3D chromatin architecture in T cell acute lymphoblastic leukemia (T-ALL) by using primary human leukemia specimens and examine the dynamic responses of this architecture to pharmacological agents. Systematic integration of matched in situ Hi-C, RNA-seq and CTCF ChIP–seq datasets revealed widespread differences in intra-TAD chromatin interactions and TAD boundary insulation in T-ALL. Our studies identify and focus on a TAD ‘fusion’ event associated with absence of CTCF-mediated insulation, enabling direct interactions between the MYC promoter and a distal super-enhancer. Moreover, our data also demonstrate that small-molecule inhibitors targeting either oncogenic signal transduction or epigenetic regulation can alter specific 3D interactions found in leukemia. Overall, our study highlights the impact, complexity and dynamic nature of 3D chromatin architecture in human acute leukemia.

Original languageEnglish (US)
Pages (from-to)388-400
Number of pages13
JournalNature Genetics
Volume52
Issue number4
DOIs
StatePublished - Apr 1 2020

Funding

We thank all members of the Aifantis and Tsirigos laboratories for discussions throughout this project; A. Heguy and the NYU Genome Technology Center (supported in part by National Institutes of Health (NIH)/National Cancer Institute (NCI) grant P30CA016087-30) for expertise with sequencing experiments; the NYU Flow Cytometry facility for expert cell sorting; the Applied Bioinformatics Laboratory for computational assistance; and Genewiz for expertise with sequencing experiments. This work has used computing resources at the High-Performance Computing Facility at the NYU Medical Center. We would also like to acknowledge B. Ren and A. Schmitt for their support on the Hi-C experiments. I.A. is supported by the NCI/NIH (1P01CA229086, 1R01CA228135, R01CA216421, R01CA202025, R01CA133379, R01CA149655 and 1R01CA194923), Alex’s Lemonade Stand Cancer Research Foundation, the Chemotherapy Foundation, the Leukemia and Lymphoma Society and the NYSTEM program of the New York State Health Department. A.T. is supported by the American Cancer Society (RSG-15-189-01-RMC), the NCI/NIH (1P01CA229086), the Leukemia and Lymphoma Society and St. Baldrick’s Foundation. P.T. was previously supported by an AACR Incyte Corporation Leukemia Research Fellowship and is currently supported by a Young Investigator Grant from Alex’s Lemonade Stand Cancer Research Foundation. P.N. was supported by the NCI (R00CA188293), the American Society of Hematology, the Zell Foundation, the H Foundation and a grant (U54CA193419) from the NCI and the Chicago Region Physical Sciences–Oncology Center (CR-PSOC). P.V.V. was supported by a European Research Council Starting Grant (639784). T.L. is supported by the National Institute of General Medical Sciences (NIGMS)/NIH (R01GM127538). F.B. is supported by a Young Investigator Grant from Alex’s Lemonade Stand Cancer Research Foundation. S.N. is supported by the Onassis Foundation (scholarship ID F ZP 036-1/2019-2020).

ASJC Scopus subject areas

  • Genetics

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