کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
5357923 | 1503613 | 2015 | 6 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
A new tool for differentiating hepatocellular cancer cells: Patterned carbon nanotube arrays
ترجمه فارسی عنوان
یک ابزار جدید برای جداسازی سلول های سرطانی از سلول های سرطانی: نمونه های کروی نانولوله های کربنی
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کلمات کلیدی
نانولوله کربنی، سلول سرطانی، تفکیک، کلاژن، الگوسازی، سمی بودن
موضوعات مرتبط
مهندسی و علوم پایه
شیمی
شیمی تئوریک و عملی
چکیده انگلیسی
We aimed to develop a new approach to detect the invasiveness and metastatic degree of hepatocellular carcinoma cells (HCC) based on their epithelial mesenchymal transition (EMT) status by using patterned carbon nanotubes (CNT) without any further surface functionalization. We used well differentiated HUH7 and poorly differentiated SNU182 cells to examine and compare their adhesive features on patterned CNTs. We found that the well differentiated HUH7 cells attached significantly more on the patterned CNTs than the poorly differentiated SNU182 cells due to the difference in epithelial and mesenchymal phenotypes of these cells. Collagen coated patterned CNTs having less roughness resulted in a decrease in the number of attached cells compared to non-coated patterned surfaces indicating that surface topography playing also a vital role on the cell attachment. LDH testing indicated no adverse, or thereof toxic effect of collagen coated or non-coated patterned surfaces on the HCC cells. The results of this study clearly suggest that patterned CNT surfaces can be used as a diagnostic tool to determine the invasiveness and metastatic level of HCCs. Hence, CNTs could be considered as a promising diagnostic tool for the detection of differentiation and invasiveness of the HCC cells.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Applied Surface Science - Volume 351, 1 October 2015, Pages 27-32
Journal: Applied Surface Science - Volume 351, 1 October 2015, Pages 27-32
نویسندگان
Gokce Kucukayan-Dogu, Damla Gozen, Verda Bitirim, Kamil Can Akcali, Erman Bengu,