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High-throughput phenotypic screen and transcriptional analysis identify new compounds and targets for macrophage reprogramming

Author

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  • Guangan Hu

    (Massachusetts Institute of Technology
    Massachusetts Institute of Technology)

  • Yang Su

    (Massachusetts Institute of Technology
    Massachusetts Institute of Technology)

  • Byong Ha Kang

    (Massachusetts Institute of Technology
    Massachusetts Institute of Technology)

  • Zhongqi Fan

    (Massachusetts Institute of Technology
    Massachusetts Institute of Technology)

  • Ting Dong

    (Massachusetts Institute of Technology
    Massachusetts Institute of Technology)

  • Douglas R. Brown

    (Massachusetts Institute of Technology
    Massachusetts Institute of Technology)

  • Jaime Cheah

    (Massachusetts Institute of Technology
    Massachusetts Institute of Technology)

  • Karl Dane Wittrup

    (Massachusetts Institute of Technology
    Massachusetts Institute of Technology)

  • Jianzhu Chen

    (Massachusetts Institute of Technology
    Massachusetts Institute of Technology)

Abstract

Macrophages are plastic and, in response to different local stimuli, can polarize toward multi-dimensional spectrum of phenotypes, including the pro-inflammatory M1-like and the anti-inflammatory M2-like states. Using a high-throughput phenotypic screen in a library of ~4000 FDA-approved drugs, bioactive compounds and natural products, we find ~300 compounds that potently activate primary human macrophages toward either M1-like or M2-like state, of which ~30 are capable of reprogramming M1-like macrophages toward M2-like state and another ~20 for the reverse repolarization. Transcriptional analyses of macrophages treated with 34 non-redundant compounds identify both shared and unique targets and pathways through which the tested compounds modulate macrophage activation. One M1-activating compound, thiostrepton, is able to reprogram tumor-associated macrophages toward M1-like state in mice, and exhibit potent anti-tumor activity. Our compound-screening results thus help to provide a valuable resource not only for studying the macrophage biology but also for developing therapeutics through modulating macrophage activation.

Suggested Citation

  • Guangan Hu & Yang Su & Byong Ha Kang & Zhongqi Fan & Ting Dong & Douglas R. Brown & Jaime Cheah & Karl Dane Wittrup & Jianzhu Chen, 2021. "High-throughput phenotypic screen and transcriptional analysis identify new compounds and targets for macrophage reprogramming," Nature Communications, Nature, vol. 12(1), pages 1-14, December.
  • Handle: RePEc:nat:natcom:v:12:y:2021:i:1:d:10.1038_s41467-021-21066-x
    DOI: 10.1038/s41467-021-21066-x
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    Cited by:

    1. Ting Dong & Guangan Hu & Zhongqi Fan & Huirui Wang & Yinghui Gao & Sisi Wang & Hao Xu & Michael B. Yaffe & Matthew G. Vander Heiden & Guoyue Lv & Jianzhu Chen, 2024. "Activation of GPR3-β-arrestin2-PKM2 pathway in Kupffer cells stimulates glycolysis and inhibits obesity and liver pathogenesis," Nature Communications, Nature, vol. 15(1), pages 1-18, December.

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