Dynamically adjusted cell fate decisions and resilience to mutant invasion during steady-state hematopoiesis revealed by an experimentally parameterized mathematical model

生物 造血 细胞生物学 干细胞 利基 祖细胞 突变体 参数化复杂度 造血干细胞 过程(计算) 细胞命运测定 系统生物学 计算生物学 计算机科学 遗传学 生态学 操作系统 基因 转录因子 算法
作者
Natalia L. Komarova,Chiara Rignot,Angela G. Fleischman,Dominik Wodarz
出处
期刊:Proceedings of the National Academy of Sciences of the United States of America [Proceedings of the National Academy of Sciences]
卷期号:121 (38)
标识
DOI:10.1073/pnas.2321525121
摘要

A major next step in hematopoietic stem cell (HSC) biology is to enhance our quantitative understanding of cellular and evolutionary dynamics involved in undisturbed hematopoiesis. Mathematical models have been and continue to be key in this respect, and are most powerful when parameterized experimentally and containing sufficient biological complexity. In this paper, we use data from label propagation experiments in mice to parameterize a mathematical model of hematopoiesis that includes homeostatic control mechanisms as well as clonal evolution. We find that nonlinear feedback control can drastically change the interpretation of kinetic estimates at homeostasis. This suggests that short-term HSC and multipotent progenitors can dynamically adjust to sustain themselves temporarily in the absence of long-term HSCs, even if they differentiate more often than they self-renew in undisturbed homeostasis. Additionally, the presence of feedback control in the model renders the system resilient against mutant invasion. Invasion barriers, however, can be overcome by a combination of age-related changes in stem cell differentiation and evolutionary niche construction dynamics based on a mutant-associated inflammatory environment. This helps us understand the evolution of e.g., TET2 or DNMT3A mutants, and how to potentially reduce mutant burden.

科研通智能强力驱动
Strongly Powered by AbleSci AI
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
yyyyy发布了新的文献求助30
1秒前
许诺发布了新的文献求助10
1秒前
无辜傲松完成签到,获得积分20
1秒前
xia完成签到,获得积分10
2秒前
青竹丹枫完成签到,获得积分10
3秒前
xuxuxuxuxu完成签到,获得积分10
4秒前
研友_LBKR9n发布了新的文献求助10
4秒前
可耐的成危完成签到,获得积分10
4秒前
人工智能小配方完成签到,获得积分10
5秒前
超级苹果完成签到 ,获得积分10
5秒前
1l发布了新的文献求助10
6秒前
隐形曼青应助科研通管家采纳,获得10
6秒前
李爱国应助科研通管家采纳,获得10
6秒前
桐桐应助科研通管家采纳,获得10
6秒前
爆米花应助科研通管家采纳,获得10
6秒前
脑洞疼应助科研通管家采纳,获得10
6秒前
7秒前
隐形曼青应助科研通管家采纳,获得10
7秒前
7秒前
李爱国应助科研通管家采纳,获得10
7秒前
烟花应助科研通管家采纳,获得10
7秒前
桐桐应助科研通管家采纳,获得10
7秒前
iNk应助元谷雪采纳,获得10
7秒前
bkagyin应助科研通管家采纳,获得10
7秒前
爆米花应助科研通管家采纳,获得10
7秒前
2423应助科研通管家采纳,获得10
7秒前
脑洞疼应助科研通管家采纳,获得10
7秒前
7秒前
隐形曼青应助科研通管家采纳,获得10
7秒前
7秒前
在水一方应助科研通管家采纳,获得10
7秒前
烟花应助科研通管家采纳,获得10
8秒前
8秒前
2423应助科研通管家采纳,获得10
8秒前
2423应助科研通管家采纳,获得10
8秒前
隐形曼青应助科研通管家采纳,获得10
8秒前
在水一方应助科研通管家采纳,获得10
8秒前
慕青应助科研通管家采纳,获得10
8秒前
8秒前
8秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Molecular Biology of Cancer: Mechanisms, Targets, and Therapeutics 3000
VASCULITIS(血管炎)Rheumatic Disease Clinics (Clinics Review Articles) —— 《风湿病临床》(临床综述文章) 1000
Feldspar inclusion dating of ceramics and burnt stones 1000
What is the Future of Psychotherapy in a Digital Age? 801
The Psychological Quest for Meaning 800
Digital and Social Media Marketing 600
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5977402
求助须知:如何正确求助?哪些是违规求助? 7337635
关于积分的说明 16009932
捐赠科研通 5116815
什么是DOI,文献DOI怎么找? 2746647
邀请新用户注册赠送积分活动 1715049
关于科研通互助平台的介绍 1623844