Back

Physical theory of epigenetic memory and its biological implications

Zhao, Z.; Lin, J.

2026-04-10 cell biology
10.64898/2026.04.08.717143 bioRxiv
Show abstract

Epigenetic marks are essential for maintaining cell identity, yet how epigenetic memory is robustly preserved across cell cycles while remaining plastic during cell-state transitions remains unclear. Here, we develop a theory of epigenetic memory that incorporates chromatin compartmentalization and mark modifications, including long-range spreading, writing, and erasing. The spreading-writing-erasing model generates self-sustaining epigenetic mark patterns across multiple cell generations. The model also reveals that to induce or remove a heterochromatic compartment, the writing or erasing strength must exceed a finite threshold, which depends on the long-distance scaling of the contact probability between two chromatin loci. Intriguingly, the scaling exponent for human cells appears to be evolutionarily selected for stability and plasticity in epigenetic memory. We demonstrate that adding noise in parental histone segregation during DNA replication and accelerating cell proliferation significantly enhance reprogramming efficiency in induced pluripotent stem cells. Finally, our theory also predicts cellular senescence arising from chromatin reorganization after many cell generations.

Matching journals

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

1
Proceedings of the National Academy of Sciences
2130 papers in training set
Top 0.7%
22.4%
2
Nature Communications
4913 papers in training set
Top 6%
18.5%
3
Biophysical Journal
545 papers in training set
Top 0.6%
8.3%
4
Science Advances
1098 papers in training set
Top 0.5%
7.1%
50% of probability mass above
5
Cell Reports
1338 papers in training set
Top 13%
3.9%
6
Communications Physics
12 papers in training set
Top 0.1%
3.6%
7
Nucleic Acids Research
1128 papers in training set
Top 7%
3.0%
8
PLOS Computational Biology
1633 papers in training set
Top 12%
2.6%
9
Cell Systems
167 papers in training set
Top 5%
2.3%
10
Advanced Science
249 papers in training set
Top 9%
2.1%
11
eLife
5422 papers in training set
Top 36%
2.1%
12
Science
429 papers in training set
Top 13%
1.9%
13
Scientific Reports
3102 papers in training set
Top 54%
1.9%
14
Bulletin of Mathematical Biology
84 papers in training set
Top 1%
1.7%
15
Genetics
225 papers in training set
Top 2%
1.7%
16
Current Biology
596 papers in training set
Top 12%
0.9%
17
Developmental Cell
168 papers in training set
Top 11%
0.9%
18
iScience
1063 papers in training set
Top 27%
0.9%
19
Journal of Cell Biology
333 papers in training set
Top 4%
0.8%
20
Communications Biology
886 papers in training set
Top 24%
0.7%
21
Nature Physics
39 papers in training set
Top 1%
0.7%
22
PLOS ONE
4510 papers in training set
Top 70%
0.7%
23
Nature Cell Biology
99 papers in training set
Top 5%
0.6%
24
Nature
575 papers in training set
Top 17%
0.6%