Open Access
Open access
volume 12 issue 10 pages 1657

New Approach to Non-Invasive Tumor Model Monitoring via Self-Assemble Iron Containing Protein Nanocompartments

Maria V Efremova 3, 4, 5
Vera V. Oda 1
Viktoria A. Sarkisova 6, 8
Alevtina S. Semkina 7, 9
Anna V. Ivanova 1
Publication typeJournal Article
Publication date2022-05-12
scimago Q1
wos Q2
SJR0.811
CiteScore9.2
Impact factor4.3
ISSN20794991
PubMed ID:  35630878
General Chemical Engineering
General Materials Science
Abstract

According to the World Health Organization, breast cancer is the most common oncological disease worldwide. There are multiple animal models for different types of breast carcinoma, allowing the research of tumor growth, metastasis, and angiogenesis. When studying these processes, it is crucial to visualize cancer cells for a prolonged time via a non-invasive method, for example, magnetic resonance imaging (MRI). In this study, we establish a new genetically encoded material based on Quasibacillus thermotolerans (Q.thermotolerans, Qt) encapsulin, stably expressed in mouse 4T1 breast carcinoma cells. The label consists of a protein shell containing an enzyme called ferroxidase. When adding Fe2+, a ferroxidase oxidizes Fe2+ to Fe3+, followed by iron oxide nanoparticles formation. Additionally, genes encoding mZip14 metal transporter, enhancing the iron transport, were inserted into the cells via lentiviral transduction. The expression of transgenic sequences does not affect cell viability, and the presence of magnetic nanoparticles formed inside encapsulins results in an increase in T2 relaxivity.

Found 
Found 

Top-30

Journals

1
International Journal of Molecular Sciences
1 publication, 14.29%
Biochemistry (Moscow)
1 publication, 14.29%
Pharmaceutics
1 publication, 14.29%
Experimental Biology and Medicine
1 publication, 14.29%
Биохимия
1 publication, 14.29%
Frontiers in Bioengineering and Biotechnology
1 publication, 14.29%
Stem Cell Research and Therapy
1 publication, 14.29%
1

Publishers

1
2
MDPI
2 publications, 28.57%
Pleiades Publishing
2 publications, 28.57%
Frontiers Media S.A.
2 publications, 28.57%
Springer Nature
1 publication, 14.29%
1
2
  • We do not take into account publications without a DOI.
  • Statistics recalculated weekly.

Are you a researcher?

Create a profile to get free access to personal recommendations for colleagues and new articles.
Metrics
7
Share
Cite this
GOST |
Cite this
GOST Copy
Gabashvili A. N. et al. New Approach to Non-Invasive Tumor Model Monitoring via Self-Assemble Iron Containing Protein Nanocompartments // Nanomaterials. 2022. Vol. 12. No. 10. p. 1657.
GOST all authors (up to 50) Copy
Gabashvili A. N., Efremova M. V., Vodopyanov S. S., Chmelyuk N. S., Oda V. V., Sarkisova V. A., Leonova M. K., Semkina A. S., Ivanova A. V., Abakumov M. A. New Approach to Non-Invasive Tumor Model Monitoring via Self-Assemble Iron Containing Protein Nanocompartments // Nanomaterials. 2022. Vol. 12. No. 10. p. 1657.
RIS |
Cite this
RIS Copy
TY - JOUR
DO - 10.3390/nano12101657
UR - https://www.mdpi.com/2079-4991/12/10/1657
TI - New Approach to Non-Invasive Tumor Model Monitoring via Self-Assemble Iron Containing Protein Nanocompartments
T2 - Nanomaterials
AU - Gabashvili, Anna N.
AU - Efremova, Maria V
AU - Vodopyanov, Stepan S
AU - Chmelyuk, Nelly S.
AU - Oda, Vera V.
AU - Sarkisova, Viktoria A.
AU - Leonova, Maria K
AU - Semkina, Alevtina S.
AU - Ivanova, Anna V.
AU - Abakumov, Maxim A.
PY - 2022
DA - 2022/05/12
PB - MDPI
SP - 1657
IS - 10
VL - 12
PMID - 35630878
SN - 2079-4991
ER -
BibTex |
Cite this
BibTex (up to 50 authors) Copy
@article{2022_Gabashvili,
author = {Anna N. Gabashvili and Maria V Efremova and Stepan S Vodopyanov and Nelly S. Chmelyuk and Vera V. Oda and Viktoria A. Sarkisova and Maria K Leonova and Alevtina S. Semkina and Anna V. Ivanova and Maxim A. Abakumov},
title = {New Approach to Non-Invasive Tumor Model Monitoring via Self-Assemble Iron Containing Protein Nanocompartments},
journal = {Nanomaterials},
year = {2022},
volume = {12},
publisher = {MDPI},
month = {may},
url = {https://www.mdpi.com/2079-4991/12/10/1657},
number = {10},
pages = {1657},
doi = {10.3390/nano12101657}
}
MLA
Cite this
MLA Copy
Gabashvili, Anna N., et al. “New Approach to Non-Invasive Tumor Model Monitoring via Self-Assemble Iron Containing Protein Nanocompartments.” Nanomaterials, vol. 12, no. 10, May. 2022, p. 1657. https://www.mdpi.com/2079-4991/12/10/1657.