Academic Journal

Differentiated Epithelial- and Mesenchymal-Like Phenotypes in Subcutaneous Mouse Xenografts Using Diffusion Weighted-Magnetic Resonance Imaging

التفاصيل البيبلوغرافية
العنوان: Differentiated Epithelial- and Mesenchymal-Like Phenotypes in Subcutaneous Mouse Xenografts Using Diffusion Weighted-Magnetic Resonance Imaging
المؤلفون: Ya-Wen Chen, Huay-Ben Pan, Hui-Hwa Tseng, Hsiao-Chien Chu, Yu-Ting Hung, Yi-Chen Yen, Chen-Pin Chou
المصدر: International Journal of Molecular Sciences; Volume 14; Issue 11; Pages: 21943-21959
بيانات النشر: Multidisciplinary Digital Publishing Institute
سنة النشر: 2013
المجموعة: MDPI Open Access Publishing
مصطلحات موضوعية: diffusion-weighted magnetic resonance imaging, epithelial, mesenchymal, apparent diffusion coefficient, mouse xenografts
جغرافية الموضوع: agris
الوصف: Epithelial-mesenchymal transition (EMT) is important for tumor metastasis. Detection of EMT protein expression and observation of morphological changes are commonly used to identify EMT. Diffusion-weighted magnetic resonance imaging (DW-MRI) and measuring apparent diffusion coefficient (ADC) values are noninvasive techniques for characterizing tumor microenvironments. We investigated the difference in ADC values between epithelial- and mesenchymal-like subcutaneous mouse xenografted tumors using DW-MRI. Epithelial-like MM189 PB-Klf4 and BL322 PB-Klf4 cells were generated from tumor suppressive Kruppel-like factor 4 (Klf4)-expressing mesenchymal-like MM189 and BL322 cells. The ADC values of xenografted tumors from epithelial-like MM189 PB-Klf4 and BL322 PB-Klf4 were significantly lower than those from their mesenchymal-like counterparts (p < 0.05 and p < 0.01, respectively). Our results suggested that DW-MRI is a potential tool for observing mesenchymal- or epithelial-like characteristics of subcutaneous xenografted tumors.
نوع الوثيقة: text
وصف الملف: application/pdf
اللغة: English
Relation: Biochemistry; https://dx.doi.org/10.3390/ijms141121943
DOI: 10.3390/ijms141121943
الاتاحة: https://doi.org/10.3390/ijms141121943
Rights: https://creativecommons.org/licenses/by/3.0/
رقم الانضمام: edsbas.838A9C13
قاعدة البيانات: BASE