Back

Spatial organization of nuclear pores in Xaenopus laevis oocytes

Ravazzano, L.; Bonfanti, S.; Guerra, R.; Montel, F.; La Porta, C. A. M.; Zapperi, S.

2021-09-02 biophysics
10.1101/2021.09.01.458492 bioRxiv
Show abstract

Nuclear pores are protein assemblies inserted in the nuclear envelope of eukaryotic cells, acting as main gates for communication between nucleus and cytoplasm. So far, nuclear pores have been extensively studied to determine their structure and composition, yet their spatial organization and geometric arrangement on the nuclear surface are still poorly understood. Here, we analyze super-resolution images of the surface of Xenopus laevis oocyte nuclei during development, and characterize the arrangement of nuclear pores using tools commonly employed to study the atomic structural and topological features of soft matter. To interpret the experimental results, we hypothesize an effective interaction among nuclear pores and implemented it in extensive numerical simulations of octagonal clusters mimicking typical pore shapes. Thanks to our simple model, we find simulated spatial distributions of nuclear pores that are in excellent agreement with experiments, suggesting that an effective interaction among nuclear pores exists and could explain their geometrical arrangement. Furthermore, our results show that the statistical features of the geometric arrangement of nuclear pores do not depend on the type of pore-pore interaction, attractive or repulsive, but are mainly determined by the octagonal symmetry of each single pore. These results pave the way to further studies needed to determine the biological nature of pore-pore interactions.

Matching journals

The top 4 journals account for 50% of the predicted probability mass.

1
The Journal of Chemical Physics
56 papers in training set
Top 0.1%
32.5%
2
Soft Matter
60 papers in training set
Top 0.1%
9.6%
3
The Journal of Physical Chemistry B
167 papers in training set
Top 0.3%
6.6%
4
The Journal of Physical Chemistry Letters
63 papers in training set
Top 0.1%
6.1%
50% of probability mass above
5
Scientific Reports
3612 papers in training set
Top 21%
4.7%
6
Biophysical Journal
631 papers in training set
Top 2%
4.0%
7
Journal of Chemical Theory and Computation
140 papers in training set
Top 0.5%
3.4%
8
Physical Review E
112 papers in training set
Top 0.5%
3.2%
9
Nanoscale
42 papers in training set
Top 0.2%
3.2%
10
Physical Chemistry Chemical Physics
36 papers in training set
Top 0.2%
2.3%
11
PLOS Computational Biology
1863 papers in training set
Top 14%
1.9%
12
Biophysical Reports
37 papers in training set
Top 0.2%
1.7%
13
Nature Communications
5641 papers in training set
Top 48%
1.4%
14
Journal of Chemical Information and Modeling
238 papers in training set
Top 2%
1.1%
15
eLife
5828 papers in training set
Top 59%
1.1%
16
Proceedings of the National Academy of Sciences
2444 papers in training set
Top 39%
1.0%
17
Frontiers in Physics
21 papers in training set
Top 0.4%
0.8%
18
Nano Letters
71 papers in training set
Top 1%
0.8%
19
Communications Biology
993 papers in training set
Top 32%
0.8%
20
iScience
1154 papers in training set
Top 36%
0.8%
21
Journal of Computational Chemistry
13 papers in training set
Top 0.3%
0.8%
22
ACS Nano
113 papers in training set
Top 2%
0.6%