Design principles of 3D epigenetic memory systems

常染色质 表观遗传学 异染色质 染色质 组蛋白 生物 遗传学 进化生物学 DNA 基因
作者
Jeremy A. Owen,Dino Osmanović,Leonid A. Mirny
标识
DOI:10.1101/2022.09.24.509332
摘要

Abstract The epigenetic state of a cell is associated with patterns of chemical modifications of histones (“marks”) across the genome, with different marks typical of active (euchromatic) and inactive (heterochromatic) genomic regions. These mark patterns can be stable over many cell generations—a form of epigenetic memory—despite their constant erosion due to replication and other processes. Enzymes that place histone marks are often stimulated by the same marks, as if “spreading” marks between neighboring histones. But this positive feedback may not be sufficient for stable memory, raising the question of what is. In this work, we show how 3D genome organization—in particular, the compartmental segregation of euchromatin and heterochromatin— could serve to stabilize an epigenetic memory, as long as (1) there is a large density difference between the compartments, (2) the modifying enzymes can spread marks in 3D, and (3) the enzymes are limited in abundance relative to their histone substrates. We introduce a biophysical model stylizing chromatin and its dynamics through the cell cycle, in which enzymes spread self-attracting marks on a polymer. We find that marks localize sharply and stably to the denser compartment, but over several cell generations, the model generically exhibits uncontrolled spread or global loss of marks. Strikingly, imposing limitation of the modifying enzymes—a plausible but oft-neglected element—totally changes this picture, yielding an epigenetic memory system, stable for hundreds of cell generations. Our model predicts a rich phenomenology to compare to experiments, and reveals basic design principles of putative epigenetic memory systems relying on compartmentalized 3D genome structure for their function.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
大幅提高文件上传限制,最高150M (2024-4-1)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
BMT小张发布了新的文献求助10
1秒前
大个应助小陈采纳,获得10
1秒前
乐乐应助Nuyoah采纳,获得10
3秒前
光亮戎发布了新的文献求助10
3秒前
小周周发布了新的文献求助30
4秒前
4秒前
5秒前
情怀应助Xxi采纳,获得10
5秒前
7秒前
小鱼头完成签到,获得积分10
7秒前
安氏月月应助miles采纳,获得10
7秒前
李李发布了新的文献求助10
10秒前
ding应助wu采纳,获得10
11秒前
科研通AI2S应助TM采纳,获得10
11秒前
chelsea发布了新的文献求助10
13秒前
充电宝应助怡然的灵波采纳,获得10
13秒前
13秒前
13秒前
14秒前
青天鸟1989完成签到,获得积分10
15秒前
Dsunflower完成签到 ,获得积分10
16秒前
季1发布了新的文献求助10
17秒前
17秒前
小胡完成签到,获得积分10
19秒前
怡然的灵波完成签到,获得积分20
19秒前
现代的含雁完成签到 ,获得积分10
19秒前
heihei发布了新的文献求助30
20秒前
20秒前
酷炫宛发布了新的文献求助10
22秒前
23秒前
23秒前
heihei完成签到,获得积分10
25秒前
ding应助long采纳,获得10
25秒前
冬至啥也不会完成签到,获得积分10
27秒前
TM发布了新的文献求助10
27秒前
linddda完成签到 ,获得积分10
27秒前
29秒前
29秒前
kkkkkk完成签到,获得积分10
29秒前
思源应助这个真不懂采纳,获得10
30秒前
高分求助中
Impact of Mitophagy-Related Genes on the Diagnosis and Development of Esophageal Squamous Cell Carcinoma via Single-Cell RNA-seq Analysis and Machine Learning Algorithms 2000
Evolution 1100
How to Create Beauty: De Lairesse on the Theory and Practice of Making Art 1000
Gerard de Lairesse : an artist between stage and studio 670
CLSI EP47 Evaluation of Reagent Carryover Effects on Test Results, 1st Edition 550
T/CAB 0344-2024 重组人源化胶原蛋白内毒素去除方法 500
[Procedures for improving absorption properties of polystyrene microtest plates by coating with nitrocellulose] 500
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 2984183
求助须知:如何正确求助?哪些是违规求助? 2645295
关于积分的说明 7141856
捐赠科研通 2278540
什么是DOI,文献DOI怎么找? 1208874
版权声明 592177
科研通“疑难数据库(出版商)”最低求助积分说明 590503