저널명 : Analyst, 142, 2610-2616 (2017) 
저자 : Jae-Won Choi, Bala M. K. Vasamsetti, Kyu-Wan Kim, Seung Hwan Seo, Dong-Hun Lee, Soo-Ik Chang, Jaebum Choo* and Hak Yong Kim* 
기타사항 :  

Abstract

We report the results of a label-free analysis of ribonuclease activity using droplet-based microfluidics. The ribonucleolytic activity of ribonucleases (RNases) plays a critical role in cellular functions such as development, survival, growth and differentiation. Altered ribonucleolytic activity and/or the expression level of the RNase A family are known to be associated with pancreatic, bladder, ovarian and thyroid cancers among others. For this reason, the RNase A family is a meaningful protein biomarker that can be used in the diagnosis of cancer and as a target for new drug screening. There are some successful traditional methods for analysing the RNase activity, such as radioactive label-based assay, methylene bluebased assay, gel zymography, as well as other more recently developed methods such as electrochemical assay and fluorescence resonance energy transfer (FRET). However, these methods require analytical samples with a volume ranging from microliters to milliliters, and are not suitable for high-throughput analysis. Therefore, we integrated ethidium bromide (EtBr), which intercalates the chemical itself to nucleic acid, to droplet-based microfluidics for a cost-effective, high-throughput analysis. Put simply, this method is dependent on the amount of intercalated EtBr molecules on RNA. Our assay also uses visible light that is harmless to humans, unlike previous methods that used harmful UV rays, to excite the EtBr molecules. Specifically, we monitored the ribonucleolytic activity of less than 10 nM RNase A in droplets of about 330 picoliters. Also, half the maximal inhibitory concentration (IC50) of the RNase inhibitor was successfully measured in the same volume of droplets at a frequency of 40 hertz.


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2017 Analysis of ribonuclease activity in sub-nanoliter droplets by label-free fluo... file

저널명 Analyst, 142, 2610-2616 (2017) 

저자 Jae-Won Choi, Bala M. K. Vasamsetti, Kyu-Wan Kim, Seung Hwan Seo, Dong-Hun Lee, Soo-Ik Chang, Jaebum Choo* and Hak Yong Kim* 

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2017 SERS-based genetic assay for amplification-free detection of prostate cancer ... file

저널명 Sensors & Actuators B, 251, 302-309 (2017) 

저자 Jimin Yu, Jinhyeok Jeon, Namhyun Choi, Jin Oh Lee, Young-Pil Kim and Jaebum Choo* 

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2017 Simultaneous detection of dual prostate specific antigens using SERS-based immun... file

저널명 ACS Nano, 11, 4926-4933 (2017) 

저자 Ziyi Cheng, Namhyun Choi, Rui Wang, Sangyeop Lee, Kyung Chul Moon, Soo-Young Yoon, Lingxin Chen* and Jaebum Choo* 

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2017 From single-molecule detection to next-generation sequencing: microfluidic dro... file

저널명 Microfluidics and Nanofluidics, 21:58 (2017) 

저자 Yun Ding, Jaebum Choo and Andrew deMello* 

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2017 Fluorescent chemical probes for accurate tumor diagnosis and targeting therapy file

저널명 Chemical Society Reviews, 46, 2237-2271 (2017) 

저자 Min Gao, Fabiao Yu*, Changjun Lv, Jaebum Choo* and Lingxin Chen* 

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2017 Quantum Dot–based Molecularly Imprinted Polymers on Three-Dimensional Origami ... file

저널명 ACS Sensors, 2, 243-250 (2017) 

저자 Bowei Li, Zhong Zhang, Ji Qi, Na Zhou, Song Qin, Jaebum Choo* and Lingxin Chen* 

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2017 Spectroscopic measurements of interactions between hydrophobic 1-pyrenebutyric... file

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저자 Nguyen Hoang Ly, Thanh Danh Nguyen, Thanh Lam Bui, Sangyeop Lee, Jaebum Choo, Sang-Woo Joo* 

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2017 Raman spectrum identification based on the correlation score using weighted ... file

저널명 Analyst, 142, 380-388 (2017) 

저자 Jun-Kyu Park, Aaron Park, Si Kyung Yang, Sung-June Baek*, Joonki Hwang and Jaebum Choo* 

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2017 Simultaneous Detection of Dual Nucleic Acids Using a SERS-based Lateral Flow... file

저널명 Analytical Chemistry, 89, 1163-1169 (2017) 

저자 Xiaokun Wang, Namhyun Choi, Ziyi Cheng, Juhui Ko, Lingxin Chen*, and Jaebum Choo* 

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저널명 Analytical Chemistry, 89, 124-137 (2017) 

저자 Xiuli Fu, Lingxin Chen* and Jaebum Choo* 

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