Subcellular localization of biomolecules and drug distribution by high-definition ion beam imaging

Xavier Rovira‐Clavé(Stanford University), Sizun Jiang(Stanford University), Yun Bai(Stanford University), Bokai Zhu(Stanford University), Graham L. Barlow(Stanford University), Salil S. Bhate(Stanford University), Ahmet F. Coskun(Stanford University), Guojun Han(Stanford University), Chin‐Min Kimmy Ho(Institute of Plant and Microbial Biology, Academia Sinica), Chuck Hitzman(Stanford University), Shih-Yu Chen(Institute of Biomedical Sciences, Academia Sinica), Felice-Alessio Bava(Stanford University), Garry P. Nolan(Stanford Medicine)
Nature Communications
July 30, 2021
Cited by 70Open Access
Full Text

Abstract

Simultaneous visualization of the relationship between multiple biomolecules and their ligands or small molecules at the nanometer scale in cells will enable greater understanding of how biological processes operate. We present here high-definition multiplex ion beam imaging (HD-MIBI), a secondary ion mass spectrometry approach capable of high-parameter imaging in 3D of targeted biological entities and exogenously added structurally-unmodified small molecules. With this technology, the atomic constituents of the biomolecules themselves can be used in our system as the "tag" and we demonstrate measurements down to ~30 nm lateral resolution. We correlated the subcellular localization of the chemotherapy drug cisplatin simultaneously with five subnuclear structures. Cisplatin was preferentially enriched in nuclear speckles and excluded from closed-chromatin regions, indicative of a role for cisplatin in active regions of chromatin. Unexpectedly, cells surviving multi-drug treatment with cisplatin and the BET inhibitor JQ1 demonstrated near total cisplatin exclusion from the nucleus, suggesting that selective subcellular drug relocalization may modulate resistance to this important chemotherapeutic treatment. Multiplexed high-resolution imaging techniques, such as HD-MIBI, will enable studies of biomolecules and drug distributions in biologically relevant subcellular microenvironments by visualizing the processes themselves in concert, rather than inferring mechanism through surrogate analyses.


Related Papers

No related papers found

Powered by citation graph analysis