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Metabolic profiling of cancer cells reveals genome-wide crosstalk between transcriptional regulators and metabolism

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  • Karin Ortmayr

    (Institute of Molecular Systems Biology, ETH Zurich, Otto-Stern-Weg 3)

  • Sébastien Dubuis

    (Institute of Molecular Systems Biology, ETH Zurich, Otto-Stern-Weg 3)

  • Mattia Zampieri

    (Institute of Molecular Systems Biology, ETH Zurich, Otto-Stern-Weg 3)

Abstract

Transcriptional reprogramming of cellular metabolism is a hallmark of cancer. However, systematic approaches to study the role of transcriptional regulators (TRs) in mediating cancer metabolic rewiring are missing. Here, we chart a genome-scale map of TR-metabolite associations in human cells using a combined computational-experimental framework for large-scale metabolic profiling of adherent cell lines. By integrating intracellular metabolic profiles of 54 cancer cell lines with transcriptomic and proteomic data, we unraveled a large space of associations between TRs and metabolic pathways. We found a global regulatory signature coordinating glucose- and one-carbon metabolism, suggesting that regulation of carbon metabolism in cancer may be more diverse and flexible than previously appreciated. Here, we demonstrate how this TR-metabolite map can serve as a resource to predict TRs potentially responsible for metabolic transformation in patient-derived tumor samples, opening new opportunities in understanding disease etiology, selecting therapeutic treatments and in designing modulators of cancer-related TRs.

Suggested Citation

  • Karin Ortmayr & Sébastien Dubuis & Mattia Zampieri, 2019. "Metabolic profiling of cancer cells reveals genome-wide crosstalk between transcriptional regulators and metabolism," Nature Communications, Nature, vol. 10(1), pages 1-13, December.
  • Handle: RePEc:nat:natcom:v:10:y:2019:i:1:d:10.1038_s41467-019-09695-9
    DOI: 10.1038/s41467-019-09695-9
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    Cited by:

    1. Indranil Paul & Dante Bolzan & Ahmed Youssef & Keith A. Gagnon & Heather Hook & Gopal Karemore & Michael U. J. Oliphant & Weiwei Lin & Qian Liu & Sadhna Phanse & Carl White & Dzmitry Padhorny & Sergei, 2023. "Parallelized multidimensional analytic framework applied to mammary epithelial cells uncovers regulatory principles in EMT," Nature Communications, Nature, vol. 14(1), pages 1-23, December.

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