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A 3D Cartographic Description of the Cell by Cryo Soft X-ray Tomography
Published on: March 15, 2021
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Cryo-soft X-ray tomography as a quantitative three-dimensional tool to model nanoparticle:cell interaction.
Michele Chiappi1,2, José Javier Conesa3, Eva Pereiro4
1Centro Nacional de Biotecnología (CNB-CSIC), Cantoblanco, 28049, Spain, Madrid. m.chiappi@imperial.ac.uk.
Journal of Nanobiotechnology
|March 5, 2016
Summary
Superparamagnetic iron oxide nanoparticles (SPION) accumulate within breast cancer cells over time, forming larger vesicles near the nucleus. This 3D imaging approach quantifies nanoparticle-cell interactions for nanomedicine applications.
Area of Science:
- Nanobiotechnology
- Nanomedicine
- Cell Biology
Background:
- Recent advances in nanoparticle design offer new possibilities in nanobiotechnology and nanomedicine.
- Superparamagnetic iron oxide nanoparticles (SPION) are being investigated for various biomedical applications.
Purpose of the Study:
- To characterize the interaction of SPION with a breast cancer cell line using cryo-soft X-ray tomography (cryo-SXT).
- To validate and contextualize new 3D data using a previously studied SPION-MCF-7 cell system.
Main Methods:
- Incubation of MCF-7 cells with SPION (15 nm diameter, DMSA coated) for 0-24 hours.
- Vitrification of cells followed by correlative cryo-epifluorescent microscopy to identify SPION accumulation.
- Analysis of vitrified cells using cryo-SXT to generate whole cell volume 3D maps at nanometric resolution.
Main Results:
- SPION were observed to accumulate in acidic vesicles within the endocytic pathway.
- Cryo-SXT enabled quantitative statistical analysis of SPION-containing vesicle (SCV) accumulation, including vesicle number, size, and proximity to the nucleus.
- Internalized SPION showed continuous transfer towards an accumulation area near the cell nucleus.
Conclusions:
- The 3D cryo-SXT approach allows comprehensive quantitative description of SPION:cell interactions.
- Increased incubation time led to a significant increase in SCV number, size, and accumulated volume.
- This quantitative data is crucial for designing nanoparticles for hyperthermia treatment, drug delivery, and imaging in nanomedicine.
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