A facile deoxyuridine/biotin-modified molecular beacon for simultaneous detection of proteins and nucleic acids via a label-free and background-eliminated fluorescence assay

The Analyst ◽  
2019 ◽  
Vol 144 (18) ◽  
pp. 5504-5510 ◽  
Author(s):  
Fei Yin ◽  
Liqi Liu ◽  
Xia Sun ◽  
Laiyong Hou ◽  
Yu Lu ◽  
...  

Simultaneous detection of different types of cancer biomarkers (nucleic acids and proteins) could facilitate early diagnosis of cancer and clinical treatment.

The Analyst ◽  
2020 ◽  
Vol 145 (22) ◽  
pp. 7448-7448
Author(s):  
Fei Yin ◽  
Liqi Liu ◽  
Xia Sun ◽  
Laiyong Hou ◽  
Yu Lu ◽  
...  

Correction for ‘A facile deoxyuridine/biotin-modified molecular beacon for simultaneous detection of proteins and nucleic acids via a label-free and background-eliminated fluorescence assay’ by Fei Yin, et al., Analyst, 2019, 144, 5504–5510, DOI: 10.1039/C9AN01016E.


RSC Advances ◽  
2015 ◽  
Vol 5 (118) ◽  
pp. 97898-97902 ◽  
Author(s):  
Xiaoling Wu ◽  
Fengli Gao ◽  
Liguang Xu ◽  
Hua Kuang ◽  
Libing Wang ◽  
...  

The accurate monitoring of trace cancer biomarkers is crucial for the early diagnosis of cancer.


2017 ◽  
Vol 112 (3) ◽  
pp. 461a ◽  
Author(s):  
Sung Cheol Kim ◽  
Navneet Dogra ◽  
Benjamin H. Wunsch ◽  
Joshua T. Smith ◽  
Stacey M. Gifford ◽  
...  

Author(s):  
Prableen Kaur ◽  
Manik Sharma

Genetic Algorithms (GA), Ant Colony Optimization (ACO), Particle Swarm Optimization (PSO) and Artificial Bee Colonies (ABC) are some vital nature inspired computing (NIC) techniques. These approaches have been used in early prophecy of various diseases. This article analyzes the efficacy of various NIC techniques in diagnosing diverse critical human disorders. It is observed that GA, ACO, PSO and ABC have been successfully used in early diagnosis of different diseases. As compared to ACO, PSO and ABC algorithms, GA has been extensively used in diagnosis of ecology, cardiology and endocrinologist. In addition, from the last six years of research, it has been observed that the accuracy accomplished using GA, ACO, PSO and ABC in the early diagnosis of cancer, diabetes and cardio problems lies between 73.5%-99.7%, 70%-99.2%, 80%-98% and 76.4% to 99.98% respectively. Furthermore, ACO, PSO and ABC are found to be best suited in diagnosing lung, prostate and breast cancer respectively. Moreover, the hybrid use of NIC techniques produces better results as compared to their individual use.


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