| کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن | 
|---|---|---|---|---|
| 7232782 | 1470965 | 2015 | 6 صفحه PDF | دانلود رایگان | 
عنوان انگلیسی مقاله ISI
												Enzyme-free and label-free fluorescence sensor for the detection of liver cancer related short gene
												
											ترجمه فارسی عنوان
													سنسور فلورسانس آزاد و بدون برچسب بدون علامت برای شناسایی ژن کوتاه سرطان کبد 
													
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																																												کلمات کلیدی
												
											موضوعات مرتبط
												
													مهندسی و علوم پایه
													شیمی
													شیمی آنالیزی یا شیمی تجزیه
												
											چکیده انگلیسی
												Non-invasive early diagnosis of liver cancer is the most effective way to improve the survival rate. In this paper, we developed a label-free and enzyme-free fluorescent biosensor based on target recycling and Thioflavin T (ThT) induced G-quadruplex formation for MXR7 (liver cancer related short gene) detection in human serum. The proposed sensor can detect the target DNA in the concentration range of 0-350 fM with the detection limit as low as 10 fM. Due to the outstanding structural selectivity of ThT for G-quadruplex, this sensor possesses better discrimination ability and higher sensitivity. Furthermore, this enzyme-free and label-free fluorescence sensor has demonstrated to be capable of detecting target DNA in human serum samples because of its high selectivity and sensitivity. The mechanism employed in this study represents a promising path toward directing liver cancer detection in human serum. In addition, this strategy may be extended to detect other cancer related genes by choosing a rational DNA probe according to different sequences of targets.
											ناشر
												Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Biosensors and Bioelectronics - Volume 66, 15 April 2015, Pages 399-404
											Journal: Biosensors and Bioelectronics - Volume 66, 15 April 2015, Pages 399-404
نویسندگان
												Xianghui Li, Longjie Gan, Qishui Ou, Xi Zhang, Shuxian Cai, Dongzhi Wu, Mei Chen, Yaokun Xia, Jinghua Chen, Bin Yang, 
											