【1-3】Constructing Sensing Systems for Transcription Factors by Engineering Fluorescent Nanomaterials


报告题目:Constructing Sensing Systems for Transcription Factors by Engineering Fluorescent Nanomaterials

报 告 人:李昺之 博士(南京医科大学)





Bingzhi Li is currently a PhD candidate in pharmaceutical analysis, studies in School of Pharmacy, Nanjing Medical University. His research interest include DNA nanotechnology, bioanalysis and biosensing, nanomachine and nanodevices, as well as fluorescent nanomaterials. His PhD work mainly focused on developing versatile, efficient and facile assays for in vitro sensing of transcription factors. Currently, he has published 5 papers as lead author, and co-authored 8 papers, all in peer-reviewed SCI journals. Li has also applied for 11 Chinese patents, 4 of which have been authorized. He was awarded China National Scholarship in 2017, and hosted a research funded by Postgraduate Research & Practice Innovation Program of Jiangsu Province.



Sensitive and efficient detection of protein markers is an important issue in postgenomic era. Transcription factors (TFs) regulate information flow from gene to protein, and they are recognized as key indicators to reflect cellular processes. Facile monitoring of TFs may aid diagnostics and treatment, but we still lack of techniques for highly efficient detection of them. In this study, we attempted to quantify TFs in bio-samples by integrating nanotechnology and molecular biology. Based on switchable fluorescence and modular properties of DNA-sliver nanoclusters (DNA-AgNCs), they were engineered as sensing components in detection systems. With the help of enzyme-assisted amplification, binding-induced steric hindrance, and recognition-derived allostery, three generations of assays were developed. The detection limit for critical TFs, include p50, p53 and TATA binding protein (TBP) are down to picomolar levels, and the assays are simple (1-2 steps) and time-saving (within 2.5 hours). We have also demonstrated that our methods can be developed as tools for screening inhibitors of TFs at molecular level in high throughput manner.