摘要翻译:
控制细胞分裂和分化的规则是理解发育、衰老和癌症机制的核心。最近的研究表明,利用诱导性基因标记技术,转基因小鼠表皮中的克隆群体可以在体内追踪。根据这些结果,我们解释了如何利用克隆命运数据来推断成年鼠尾皮维持过程中细胞分裂和分化的规律。我们表明,可以通过考虑长时间和短时间克隆命运数据来评估细胞分裂和分化率,并且这些数据与独立分裂的细胞株一致,而不是同步分裂的细胞株。在这些发现的激励下,我们考虑了一种基于正常成人皮肤模型的癌症发病机制。通过分析一个简单的两阶段突变对癌症克隆命运的预期变化,我们提出克隆命运数据可能为研究疾病的早期阶段提供一种新的方法。
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英文标题:
《Kinetics of cell division in epidermal maintenance》
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作者:
Allon M. Klein, David P. Doupe, Philip H. Jones, and Benjamin D.
Simons
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最新提交年份:
2007
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分类信息:
一级分类:Physics 物理学
二级分类:Biological Physics 生物物理学
分类描述:Molecular biophysics, cellular biophysics, neurological biophysics, membrane biophysics, single-molecule biophysics, ecological biophysics, quantum phenomena in biological systems (quantum biophysics), theoretical biophysics, molecular dynamics/modeling and simulation, game theory, biomechanics, bioinformatics, microorganisms, virology, evolution, biophysical methods.
分子生物物理、细胞生物物理、神经生物物理、膜生物物理、单分子生物物理、生态生物物理、生物系统中的量子现象(量子生物物理)、理论生物物理、分子动力学/建模与模拟、博弈论、生物力学、生物信息学、微生物、病毒学、进化论、生物物理方法。
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一级分类:Physics 物理学
二级分类:Statistical Mechanics 统计力学
分类描述:Phase transitions, thermodynamics, field theory, non-equilibrium phenomena, renormalization group and scaling, integrable models, turbulence
相变,热力学,场论,非平衡现象,重整化群和标度,可积模型,湍流
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一级分类:Quantitative Biology 数量生物学
二级分类:Cell Behavior 细胞行为
分类描述:Cell-cell signaling and interaction; morphogenesis and development; apoptosis; bacterial conjugation; viral-host interaction; immunology
细胞-细胞信号传导及相互作用;形态发生和发育;细胞凋亡;细菌接合;病毒-宿主相互作用;免疫学
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英文摘要:
The rules governing cell division and differentiation are central to understanding the mechanisms of development, aging and cancer. By utilising inducible genetic labelling, recent studies have shown that the clonal population in transgenic mouse epidermis can be tracked in vivo. Drawing on these results, we explain how clonal fate data may be used to infer the rules of cell division and differentiation underlying the maintenance of adult murine tail-skin. We show that the rates of cell division and differentiation may be evaluated by considering the long-time and short-time clone fate data, and that the data is consistent with cells dividing independently rather than synchronously. Motivated by these findings, we consider a mechanism for cancer onset based closely on the model for normal adult skin. By analysing the expected changes to clonal fate in cancer emerging from a simple two-stage mutation, we propose that clonal fate data may provide a novel method for studying the earliest stages of the disease.
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PDF链接:
https://arxiv.org/pdf/706.298