Aging Mouse Models Reveal Complex Tumor-Microenvironment Interactions in Cancer Progression.
Aging Mouse Models Reveal Complex Tumor-Microenvironment Interactions in Cancer Progression.
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DOI：
10.3389/fcell.2018.00035
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发表时间：
2018
影响因子：
5.5
通讯作者：
Borowsky AD
中科院分区：
文献类型：
--
作者：
Mori H;Cardiff RD;Borowsky AD
小鼠模型和基因工程小鼠模型（GEMM）是理解复杂生物系统中分子机制的重要实验工具。GEMM在推断人类遗传疾病（如乳腺癌）的表型信息方面特别有用。在小鼠中建立人类乳腺癌模型最常用的方法是使用乳腺上皮特异性启动子来研究基因功能，特别是推定的致癌基因。在完整乳腺环境的背景下，模型在乳腺上皮细胞中特别有用。基因敲除小鼠，包括条件靶向特异性乳腺细胞，可以揭示乳腺器官发生中的发育缺陷，并证明推定的肿瘤抑制基因的重要性。其中一些模型显示了一种非传统类型的肿瘤抑制，涉及肿瘤易感细胞与其宿主/环境之间的相互作用。这些GEMM有助于揭示癌细胞固有的癌症进展过程。此外，小鼠模型的分析需要适当考虑小鼠品系、背景和环境因素。在这篇综述中，我们比较了乳腺癌小鼠模型中的衰老相关因素。我们介绍了GEMM属性和群体功能变异数据库。
Mouse models and genetically engineered mouse models (GEMM) are essential experimental tools for the understanding molecular mechanisms within complex biological systems. GEMM are especially useful for inferencing phenocopy information to genetic human diseases such as breast cancer. Human breast cancer modeling in mice most commonly employs mammary epithelial-specific promoters to investigate gene function(s) and, in particular, putative oncogenes. Models are specifically useful in the mammary epithelial cell in the context of the complete mammary gland environment. Gene targeted knockout mice including conditional targeting to specific mammary cells can reveal developmental defects in mammary organogenesis and demonstrate the importance of putative tumor suppressor genes. Some of these models demonstrate a non-traditional type of tumor suppression which involves interplay between the tumor susceptible cell and its host/environment. These GEMM help to reveal the processes of cancer progression beyond those intrinsic to cancer cells. Furthermore, the, analysis of mouse models requires appropriate consideration of mouse strain, background, and environmental factors. In this review, we compare aging-related factors in mouse models for breast cancer. We introduce databases of GEMM attributes and colony functional variations.
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DOI：
10.1186/2046-2395-2-8
发表时间：
2013-05-02
期刊：
Longevity & healthspan
影响因子：
--
作者：
Baylis D;Bartlett DB;Patel HP;Roberts HC
通讯作者：
Roberts HC
影响因子：
2.4
作者：
Brayton, C. F.;Treuting, P. M.;Ward, J. M.
通讯作者：
Ward, J. M.
影响因子：
8.4
作者：
Brooks, H. L.;Pollow, D. P.;Hoyer, P. B.
通讯作者：
Hoyer, P. B.
影响因子：
4.6
作者：
Aprahamian, T.;Takemura, Y.;Walsh, K.
通讯作者：
Walsh, K.
DOI：
10.1084/jem.20130762
发表时间：
2013-10-21
期刊：
The Journal of experimental medicine
影响因子：
--
作者：
Bos PD;Plitas G;Rudra D;Lee SY;Rudensky AY
通讯作者：
Rudensky AY