Back

Dynamics of cell mass and size control in multicellular systems and the human body

Martinez-Martin, D.

2020-12-04 cell biology
10.1101/2020.12.03.411017 bioRxiv
Show abstract

Cellular processes, in particular homeostasis and growth, require an intricate and complex exchange of matter between a cell and its surroundings. Yet experimental difficulties have prevented a detailed description of the dynamics of a cells mass and volume along different cellular processes, limiting our understanding of cell physiology in health and disease. It has been recently observed that single mammalian cells fluctuate their mass in a timescale of seconds. This result challenges central and long-standing cell growth models, according to which cells increase their mass either linearly or exponentially throughout the cell cycle. However, it remains unclear to what extent cell mass fluctuations may be sustained in multicellular organisms. Here I provide a mathematical model for cell mass fluctuations and explore how such fluctuations can be successfully sustained in multicellular organisms. I postulate that cells do not synchronise their mass fluctuations, but they are executed with their phases uniformly distributed. I derive a mathematical expression to estimate the resulting mass shift between fluid compartments in an organism due to cell mass fluctuations. Together with a new estimate of 4x1013 human cells in the body, I demonstrate that my hypothesis leads to shifts of mass between the intracellular and extracellular fluid compartments in the human body that are approximately or smaller than 0.25 mg and, therefore, perfectly viable. The proposed model connects cell physiology with information theory and entropy.

Matching journals

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

1
Bulletin of Mathematical Biology
84 papers in training set
Top 0.1%
14.5%
2
Mathematical Biosciences
42 papers in training set
Top 0.1%
8.3%
3
Biophysical Journal
545 papers in training set
Top 1.0%
6.3%
4
Communications Physics
12 papers in training set
Top 0.1%
6.2%
5
Scientific Reports
3102 papers in training set
Top 20%
6.2%
6
Proceedings of the National Academy of Sciences
2130 papers in training set
Top 14%
4.8%
7
PLOS Computational Biology
1633 papers in training set
Top 7%
4.8%
50% of probability mass above
8
Journal of The Royal Society Interface
189 papers in training set
Top 1%
3.6%
9
iScience
1063 papers in training set
Top 5%
3.5%
10
eLife
5422 papers in training set
Top 27%
3.5%
11
Physical Biology
43 papers in training set
Top 0.5%
3.2%
12
Journal of Theoretical Biology
144 papers in training set
Top 0.7%
2.1%
13
Nature Communications
4913 papers in training set
Top 49%
1.9%
14
Physical Review E
95 papers in training set
Top 0.6%
1.9%
15
Current Biology
596 papers in training set
Top 9%
1.7%
16
PLOS ONE
4510 papers in training set
Top 55%
1.7%
17
Physical Review Letters
43 papers in training set
Top 0.4%
1.2%
18
Frontiers in Cell and Developmental Biology
218 papers in training set
Top 7%
0.9%
19
Cell Reports
1338 papers in training set
Top 30%
0.9%
20
PNAS Nexus
147 papers in training set
Top 1%
0.9%
21
Cells
232 papers in training set
Top 6%
0.8%
22
Communications Biology
886 papers in training set
Top 25%
0.7%
23
The European Physical Journal Plus
13 papers in training set
Top 0.8%
0.7%
24
npj Systems Biology and Applications
99 papers in training set
Top 3%
0.7%
25
Theoretical Ecology
21 papers in training set
Top 0.2%
0.7%
26
Physical Review Research
46 papers in training set
Top 1.0%
0.7%
27
Cytoskeleton
23 papers in training set
Top 0.5%
0.7%
28
Entropy
20 papers in training set
Top 0.5%
0.6%
29
Open Biology
95 papers in training set
Top 3%
0.6%
30
Chaos, Solitons & Fractals
32 papers in training set
Top 2%
0.6%