Back

Intracellular softening and fluidification reveals a mechanical switch of cytoskeletal material contributions during division

Hurst, S.; Vos, B. E.; Betz, T.

2021-01-08 biophysics
10.1101/2021.01.07.425761 bioRxiv
Show abstract

The life and death of an organism depends largely on correct cell division. While the overall biochemical signaling and morphological processes during mitosis are well understood, the importance of mechanical forces and material properties is only just starting to be discovered. Recent studies of global cell stiffening during cell division may imply an understanding of the cytosol mechanics that is mistaken. Here we show that in contrast to the stiffening process in the cell cortex, the interior of the cell undergoes a softening and fluidification that is accompanied by a decrease of active forces driving particle mobility. Using optical tweezers-based microrheology we capture the complex active and passive material state of the cytoplasm using only six relevant parameters. We demonstrate that the softening occurs because of a surprising role switch between microtubules and actin, where the intracellular, actin-based mechanics is largely controlled by a formin-mediated network.

Matching journals

The top 3 journals account for 50% of the predicted probability mass.

1
Biophysical Journal
○ 631 papers in training set
Top 0.2%
31.1%
Similar papers in this journal
2
Soft Matter
● 60 papers in training set
Top 0.1%
15.1%
Similar papers in this journal
3
Proceedings of the National Academy of Sciences
● 2444 papers in training set
Top 8%
5.5%
Similar papers in this journal
50% of probability mass above
4
Scientific Reports
○ 3612 papers in training set
Top 18%
5.2%
Similar papers in this journal
5
Journal of The Royal Society Interface
● 235 papers in training set
Top 0.8%
4.8%
Similar papers in this journal
6
eLife
● 5828 papers in training set
Top 30%
4.0%
7
Physical Review Research
● 49 papers in training set
Top 0.2%
3.4%
8
Nature Communications
○ 5641 papers in training set
Top 38%
2.6%
9
The European Physical Journal E
○ 14 papers in training set
Top 0.1%
2.1%
10
Physical Review E
● 112 papers in training set
Top 0.6%
2.1%
11
Cytoskeleton
○ 27 papers in training set
Top 0.2%
1.5%
12
iScience
○ 1154 papers in training set
Top 22%
1.4%
13
Molecular Biology of the Cell
● 311 papers in training set
Top 2%
1.1%
14
PLOS Computational Biology
● 1863 papers in training set
Top 17%
1.1%
15
Physical Review Letters
● 47 papers in training set
Top 0.3%
1.1%
16
Physical Biology
○ 46 papers in training set
Top 0.6%
1.1%
17
Small
○ 78 papers in training set
Top 1%
1.1%
18
Communications Biology
○ 993 papers in training set
Top 21%
1.1%
19
Nano Letters
● 71 papers in training set
Top 0.9%
1.1%
20
Journal of Cell Science
● 393 papers in training set
Top 4%
0.8%
21
Biophysical Reports
○ 37 papers in training set
Top 0.5%
0.8%

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.