Literature DB >> 19917263

Detection of protein-DNA interaction and regulation using gold nanoparticles.

Jun Fang1, Linliang Yu, Pei Gao, Yuguang Cai, Yinan Wei.   

Abstract

The interaction between protein and DNA is usually regulated by a third species, an effector, which can be either a protein or a small molecule. Convenient methods capable of detecting protein-DNA interaction and its regulation are highly desirable research tools. In the current study, we developed a method to directly "visualize" the interaction between a protein-DNA pair and its effector through the coupling with gold nanoparticles (AuNPs). As a proof-of-concept experiment, we constructed a model system based on the interaction between the lac repressor (protein) and operator (DNA) and its interplay with the lac operon inducer isopropyl beta-D-1-thiogalactopyranoside (IPTG, which inhibits the interaction between the lac repressor and operator). We coated AuNPs with the lac operator sequences and mixed them with the lac repressor. Because the lac repressor homotetramer contains two DNA binding modules, it bridged the particles and caused them to aggregate. We demonstrated that the assembly of DNA-modified AuNPs correlated with the presence of the corresponding protein and effector in a concentration-dependent manner. This AuNP-based platform has the potential to be generalized in the creation of reporter and detection systems for other interacting protein-DNA pairs and their effectors. Copyright 2009 Elsevier Inc. All rights reserved.

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Year:  2009        PMID: 19917263     DOI: 10.1016/j.ab.2009.11.013

Source DB:  PubMed          Journal:  Anal Biochem        ISSN: 0003-2697            Impact factor:   3.365


  2 in total

Review 1.  Hydrophobic and Hydrophilic Au and Ag Nanoparticles. Breakthroughs and Perspectives.

Authors:  Ilaria Fratoddi
Journal:  Nanomaterials (Basel)       Date:  2017-12-27       Impact factor: 5.076

2.  DNA-Directed Assembly of Nanogold Dimers: A Unique Dynamic Light Scattering Sensing Probe for Transcription Factor Detection.

Authors:  Nianjia Seow; Yen Nee Tan; Lin-Yue Lanry Yung; Xiaodi Su
Journal:  Sci Rep       Date:  2015-12-18       Impact factor: 4.379

  2 in total

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