Ultrasensitive detection of transcription factors with a highly-efficient diaminoterephthalate fluorophore via an electrogenerated chemiluminescence strategy

2019 ◽  
Vol 55 (79) ◽  
pp. 11892-11895 ◽  
Author(s):  
Zhenqiang Fan ◽  
Jianfeng Wang ◽  
Nan Hao ◽  
Yihao Li ◽  
Yuhang Yin ◽  
...  

Herein, we apply electrogenerated chemiluminescence (ECL) based method employing diaminoterephthalate analogue as ECL emitter and hairpin DNA as amplification strategy, for sensitive assay of transcription factors.

2016 ◽  
Vol 8 (47) ◽  
pp. 8262-8265 ◽  
Author(s):  
Ke Yang ◽  
Ming Zeng ◽  
Xing He ◽  
Jianming Li ◽  
Dinggeng He

An enzyme-free dual signal amplification strategy based on programmable molecular hairpins has been developed for amplified detection of DNA via the hairpin DNA-fueled dynamic self-assembly of three-arm DNAzyme.


Talanta ◽  
2014 ◽  
Vol 130 ◽  
pp. 370-376 ◽  
Author(s):  
Zhejian Li ◽  
Lijuan Sun ◽  
Ying Zhao ◽  
Libin Yang ◽  
Honglan Qi ◽  
...  

ACS Sensors ◽  
2019 ◽  
Vol 4 (11) ◽  
pp. 2864-2868 ◽  
Author(s):  
Mengping Gao ◽  
Ruiying Wu ◽  
Qingsong Mei ◽  
Cuilan Zhang ◽  
Xiao Ling ◽  
...  

2019 ◽  
Vol 35 (22) ◽  
pp. 4632-4639 ◽  
Author(s):  
Yang Li ◽  
Pengyu Ni ◽  
Shaoqiang Zhang ◽  
Guojun Li ◽  
Zhengchang Su

Abstract Motivation The availability of numerous ChIP-seq datasets for transcription factors (TF) has provided an unprecedented opportunity to identify all TF binding sites in genomes. However, the progress has been hindered by the lack of a highly efficient and accurate tool to find not only the target motifs, but also cooperative motifs in very big datasets. Results We herein present an ultrafast and accurate motif-finding algorithm, ProSampler, based on a novel numeration method and Gibbs sampler. ProSampler runs orders of magnitude faster than the fastest existing tools while often more accurately identifying motifs of both the target TFs and cooperators. Thus, ProSampler can greatly facilitate the efforts to identify the entire cis-regulatory code in genomes. Availability and implementation Source code and binaries are freely available for download at https://github.com/zhengchangsulab/prosampler. It was implemented in C++ and supported on Linux, macOS and MS Windows platforms. Supplementary information Supplementary materials are available at Bioinformatics online.


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