Genetically encoded self-assembling iron oxide nanoparticles as a possible platform for cancer-cell tracking

  • Maria V. Efremova
  • , Silviu Vasile Bodea
  • , Felix Sigmund
  • , Alevtina Semkina
  • , Gil G. Westmeyer
  • , Maxim A. Abakumov

Research output: Contribution to journalArticlepeer-review

11 Scopus citations

Abstract

The study of growth and possible metastasis in animal models of tumors would benefit from reliable cell labels for noninvasive whole-organism imaging techniques such as magnetic resonance imaging. Genetically encoded cell-tracking reporters have the advantage that they are con-trast-selective for viable cells with intact protein expression machinery. Besides, these reporters do not suffer from dilution during cell division. Encapsulins, which are bacterial protein nanocompart-ments, can serve as genetically controlled labels for multimodal detection of cells. Such nanocom-partments can host various guest molecules inside their lumen. These include, for example, fluorescent proteins or enzymes with ferroxidase activity leading to biomineralization of iron oxide inside the encapsulin nanoshell. The aim of this work was to implement heterologous expression of en-capsulin systems from Quasibacillus thermotolerans using the fluorescent reporter protein mScarlet-I and ferroxidase IMEF in the human hepatocellular carcinoma cell line HepG2. The successful expression of self-assembled encapsulin nanocompartments with functional cargo proteins was con-firmed by fluorescence microscopy and transmission electron microscopy. Also, coexpression of encapsulin nanoshells, ferroxidase cargo, and iron transporter led to an increase in T2-weighted contrast in magnetic resonance imaging of HepG2 cells. The results demonstrate that the encapsulin cargo system from Q. thermotolerans may be suitable for multimodal imaging of cancer cells and could contribute to further in vitro and in vivo studies.

Original languageEnglish
Article number397
JournalPharmaceutics
Volume13
Issue number3
DOIs
StatePublished - Mar 2021

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Biogenic iron oxide nanoparticles
  • Cell tracking
  • Encapsulins
  • Fluorescence
  • Genetically controlled imaging reporters
  • Magnetic resonance imaging
  • Visualization of cancer cells

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