Back

Correlative Synchrotron X-ray Microscopy Reveals Dose- and Division-Dependent Nanoparticle Redistribution in Macrophages

Scarpa, I.; Rabelo, R. S.; Pereira, A. O.; Fernandes, F. F.; Galdino, F. E.; Terra, M. F.; Harkiolaki, M.; Meneau, F. E.; Polo, C. C.; Thomaz, A. A. D.; Perez-Berna, A. J.; Cardoso, M. B.

2026-02-22 cell biology
10.64898/2026.02.21.707158 bioRxiv
Show abstract

Understanding the intracellular fate of nanoparticles is essential for designing safer and more effective nanomedicines, yet most studies rely on static observations and lack high-resolution, near-native volumetric information. Here, we establish a synchrotron-based correlative X-ray microscopy framework to investigate how fluorescent silica nanoparticles (SiNPs) redistribute within macrophages as a function of concentration and successive cell-division cycles. SiNPs were internalized by RAW 264.7 macrophages at different concentrations and analyzed using a synchrotron-based correlative X-ray microscopy workflow integrating cryogenic soft X-ray tomography (cryo-SXT), cryogenic structured illumination microscopy (cryo-SIM), and coherent X-ray ptychography, with confocal fluorescence microscopy used to establish population-level uptake tendencies. Cryo-SXT reveals a concentration-dependent redistribution of nanoparticle-containing vesicles from peripheral endosomes toward the perinuclear region, while correlative cryo-SIM confirms strict vesicular confinement, with no evidence of free nanoparticle diffusion into the nucleoplasm. At higher doses, nanoparticles approach the nuclear region via vesicles extending into nuclear-envelope invaginations, rather than by true nuclear entry. Successive cell divisions redistribute the intracellular nanoparticle load and promote stable perinuclear clustering, identifying a long-term sequestration route in macrophages. Coherent X-ray ptychography further reveals nanoscale deformations of the nuclear envelope associated with dense perinuclear vesicles. Together, these results establish synchrotron-based correlative X-ray microscopy as a mechanistic, multiscale platform for unveiling the dynamic intracellular fate of nanoparticles and providing mechanistic insight into their apparent nuclear localization.

Matching journals

The top 6 journals account for 50% of the predicted probability mass.

1
ACS Nano
99 papers in training set
Top 0.1%
17.4%
2
Nano Letters
63 papers in training set
Top 0.3%
9.1%
3
Nature Communications
4913 papers in training set
Top 21%
9.1%
4
Advanced Science
249 papers in training set
Top 2%
8.3%
5
Science Advances
1098 papers in training set
Top 4%
3.9%
6
Advanced Materials
53 papers in training set
Top 0.6%
3.9%
50% of probability mass above
7
Light: Science & Applications
16 papers in training set
Top 0.2%
2.7%
8
Optica
25 papers in training set
Top 0.4%
2.7%
9
Journal of Structural Biology
58 papers in training set
Top 0.5%
2.3%
10
Advanced Functional Materials
41 papers in training set
Top 1%
2.1%
11
eLife
5422 papers in training set
Top 36%
2.1%
12
Scientific Reports
3102 papers in training set
Top 54%
1.9%
13
Journal of Microscopy
18 papers in training set
Top 0.2%
1.9%
14
The Journal of Physical Chemistry B
158 papers in training set
Top 1%
1.7%
15
Communications Biology
886 papers in training set
Top 10%
1.6%
16
Small
70 papers in training set
Top 0.7%
1.3%
17
ACS Central Science
66 papers in training set
Top 1%
1.3%
18
PLOS ONE
4510 papers in training set
Top 61%
1.2%
19
Nature Biotechnology
147 papers in training set
Top 6%
0.9%
20
Angewandte Chemie International Edition
81 papers in training set
Top 3%
0.9%
21
Advanced Biology
29 papers in training set
Top 1%
0.8%
22
ACS Applied Bio Materials
21 papers in training set
Top 0.8%
0.8%
23
Cell Reports Methods
141 papers in training set
Top 5%
0.8%
24
Frontiers in Cell and Developmental Biology
218 papers in training set
Top 8%
0.8%
25
Journal of the American Chemical Society
199 papers in training set
Top 5%
0.7%
26
ACS Sensors
45 papers in training set
Top 1%
0.7%
27
Microscopy and Microanalysis
12 papers in training set
Top 0.1%
0.7%
28
Journal of Cell Biology
333 papers in training set
Top 4%
0.7%
29
Biophysical Journal
545 papers in training set
Top 5%
0.7%
30
Structure
175 papers in training set
Top 4%
0.7%