Back

Computational and experimental analyses of mitotic chromosome formation pathways in fission yeast

Gerguri, T.; Fu, X.; Kakui, Y.; Khatri, B. S.; Barrington, C.; Bates, P. A.; Uhlmann, F.

2020-10-16 biophysics
10.1101/2020.10.15.341305 bioRxiv
Show abstract

Underlying higher order chromatin organization are Structural Maintenance of Chromosomes (SMC) complexes, large protein rings that entrap DNA. The molecular mechanism by which SMC complexes organize chromatin is as yet incompletely understood. Two prominent models posit that SMC complexes actively extrude DNA loops (loop extrusion), or that they sequentially entrap two DNAs that come into proximity by Brownian motion (diffusion capture). To explore the implications of these two mechanisms, we perform biophysical simulations of a 3.76 Mb-long chromatin chain, the size of the long S. pombe chromosome I left arm. On it, the SMC complex condensin is modeled to perform loop extrusion or diffusion capture. We then compare computational to experimental observations of mitotic chromosome formation. Both loop extrusion and diffusion capture can result in native-like contact probability distributions. In addition, the diffusion capture model more readily recapitulates mitotic chromosome axis shortening and chromatin density enrichment. Diffusion capture can also explain why mitotic chromatin shows reduced, as well as more anisotropic, movements, features that lack support from loop extrusion. The condensin distribution within mitotic chromosomes, visualized by stochastic optical reconstruction microscopy (STORM), shows clustering predicted from diffusion capture. Our results inform the evaluation of current models of mitotic chromosome formation.

Matching journals

The top 7 journals account for 50% of the predicted probability mass.

1
PLOS Computational Biology
1633 papers in training set
Top 2%
13.8%
2
Proceedings of the National Academy of Sciences
2130 papers in training set
Top 8%
8.1%
3
Biophysical Journal
545 papers in training set
Top 0.7%
8.1%
4
Nucleic Acids Research
1128 papers in training set
Top 4%
6.1%
5
Nucleus
11 papers in training set
Top 0.1%
6.1%
6
Molecular Biology of the Cell
272 papers in training set
Top 0.4%
6.1%
7
iScience
1063 papers in training set
Top 2%
4.7%
50% of probability mass above
8
eLife
5422 papers in training set
Top 19%
4.7%
9
Scientific Reports
3102 papers in training set
Top 29%
4.1%
10
Genetics
225 papers in training set
Top 1%
3.4%
11
Nature Communications
4913 papers in training set
Top 43%
2.9%
12
Physical Biology
43 papers in training set
Top 0.9%
2.0%
13
PLOS ONE
4510 papers in training set
Top 53%
1.7%
14
Cell Systems
167 papers in training set
Top 8%
1.6%
15
Genome Biology
555 papers in training set
Top 5%
1.4%
16
Cell Reports
1338 papers in training set
Top 27%
1.3%
17
Journal of Molecular Biology
217 papers in training set
Top 2%
1.3%
18
Nano Letters
63 papers in training set
Top 2%
0.9%
19
Structure
175 papers in training set
Top 3%
0.9%
20
Frontiers in Molecular Biosciences
100 papers in training set
Top 4%
0.9%
21
Journal of The Royal Society Interface
189 papers in training set
Top 4%
0.9%
22
Science Advances
1098 papers in training set
Top 29%
0.8%
23
Computational and Structural Biotechnology Journal
216 papers in training set
Top 9%
0.8%
24
Journal of Structural Biology
58 papers in training set
Top 2%
0.7%
25
Bioinformatics
1061 papers in training set
Top 10%
0.7%
26
Nature Structural & Molecular Biology
218 papers in training set
Top 5%
0.7%
27
IUCrJ
29 papers in training set
Top 0.4%
0.6%
28
Journal of Cell Biology
333 papers in training set
Top 6%
0.6%