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A kinetic model of multiple phenotypic states for breast cancer cells

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成果类型:
期刊论文
作者:
Qiu, Kang;Gao, Kai-fu;Yang, Li-jian(贾亚);Zhang, Zhao-kang;Wang, Ran;...
通讯作者:
Jia, Ya(贾亚
作者机构:
[Yang, Li-jian; Zhang, Zhao-kang; Qiu, Kang; Wang, Ran; Gao, Kai-fu; Ma, Hui-shu] Cent China Normal Univ, Inst Biophys, Wuhan, Hubei, Peoples R China.
[Yang, Li-jian; Zhang, Zhao-kang; Qiu, Kang; Wang, Ran; Gao, Kai-fu; Ma, Hui-shu] Cent China Normal Univ, Dept Phys, Wuhan, Hubei, Peoples R China.
[Qiu, Kang] Xuzhou Med Univ, Dept Math & Phys, Xuzhou 221004, Peoples R China.
通讯机构:
[Jia, Ya] C
Cent China Normal Univ, Inst Biophys, Wuhan, Hubei, Peoples R China.
Cent China Normal Univ, Dept Phys, Wuhan, Hubei, Peoples R China.
语种:
英文
期刊:
Scientific Reports
ISSN:
2045-2322
年:
2017
卷:
7
期:
1
页码:
9890
基金类别:
National Institutes of Health from the National Center for Research ResourcesUnited States Department of Health & Human ServicesNational Institutes of Health (NIH) - USANIH National Center for Research Resources (NCRR) [P41RR013186]; National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [11175068, 11474117]
机构署名:
本校为第一且通讯机构
院系归属:
物理科学与技术学院
心理学院
摘要:
Quantitative modeling of microscopic genes regulatory mechanisms in an individual cell is a crucial step towards understanding various macroscopic physiological phenomena of cell populations. Based on the regulatory mechanisms of genes zeb1 and cdh1 in the growth and development of breast cancer cells, we propose a kinetic model at the level of single cell. By constructing the effective landscape of underlying stationary probability for the genes expressions, it is found that (i) each breast cancer cell has three phenotypic states (i.e., the stem-like, basal, and luminal states) which correspo...

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