Using Metal Nanoparticles to Interrogate Transcription Factors - DNA Interactions for Cancer Research – A Mini Review

Mini Review

Austin Biomol Open Access. 2016; 1(1): 1004.

Using Metal Nanoparticles to Interrogate Transcription Factors - DNA Interactions for Cancer Research – A Mini Review

Xiaodi Su1,2*

¹Institute of Materials Research and Engineering, Agency for Science, Technology and Research (A*STAR), 2 Fusionopolis Way, #08-03 Innovis, Singapore 138634

²Department of Chemistry, National University of Singapore, Block S8, Level 33 Science Drive 3, Singapore 117543

*Corresponding author: Xiaodi Su, Institute of Materials Research and Engineering, Agency for Science, Technology and Research (A*STAR), 2 Fusionopolis Way, #08-03, Innovis, Singapore

Received: August 14, 2016; Accepted: October 25, 2016; Published: November 01, 2016

Abstract

Transcription factors are DNA binding proteins, responsible for gene transcription. In this mini review, four gold nanoparticle (AuNPs)-based bioassays developed in our group are described. They can collectively answer the following questions for transcription factor-DNA interactions, (1) sequence specificity, (2) ligand effect, (3) sequence rule down to single base resolution and (4) co-operative and/or site specific protein bindings to composite DNA. These assays use either AuNPs aggregation induced color change (colorimetric assays) or AuNPs supported Nanomaterial Surface Energy Transfer (NSET)/ Forster Resonance Energy Transfer (FRET) principle. These assays are compared in their detection principle, usage (what characteristics can be deducted), strengths and limitations. Similar work from other groups will be also included to paint a full picture as for the powerful utility of metal nanoparticle in interrogating protein-DNA interactions. With this review one can gain an insight of how metal nanoparticles’ optical properties can be harnessed to design versatile bioassays (Table of Content Abstract).

Keywords: Gold nanoparticles; Protein; DNA; Transcription factors; Cofactors

Abbreviations

AuNPs: Gold Nanoparticles; AgNPs: Silver Nanoparticles; mNPs: Metal Nanoparticles; ERa : Estrogen Receptor a; ERΒ: Estrogen Receptor Β; ERE: Estrogen Response Elements; TF: Transcription Factor; NSET: Nanomaterial Surface Energy Transfer; FRET: Förster Resonance Energy Transfer; ELISA: Enzyme-Linked Immunosorbent Assay; FoxA1: Forkhead Box A1; AP2γ: Activating Protein 2γ; FID: Fluorescent Intercalator Displacement; TO: Thiazole Orange

Introduction

Transcription factors are DNA binding proteins, responsible for gene transcription. They are key factors in many cellular processes such as growth and cell development, intra and extracellular signaling and cell cycle. Several diseases have been linked to transcription factors malfunction (e.g. cancer, congenital heart disease, and renal malfunction etc). In a classical mode, TFs regulate gene transcription by binding to their specific DNA elements in many other modes, gene transcription is regulated by TFs and co-factors by cooperative interactions with DNA [1]. Figure 1 is a schematic example of the actions related to estrogen receptors (ERa and ERΒ), ligand activated nuclear hormone receptors. In the classical mode of estrogen gene regulation ER binds to its DNA element containing a core sequence of palindromic repeats separated by a three-base spacer (5’-GGTCAnnnTGACC-3’). The key questions are (1) the sequence rule and/or how base alternation in the core sequence will affect the binding affinity and (2) how ligand loading to ERs will affect their interactions with DNA. In the non-classical mode, key research is to identify co-factors and understand the cooperative binding between multiple proteins. Site selectivity and optimal distance between two sites for the best collaborative binding of multiple proteins are important in revealing gene regulation principle and for develop novel therapeutics. In general, a comprehensive understanding of TFs-related molecular binding events and their impact in gene transcription is beneficial to cancer research. For example, identifying the sequence rule of TFs-DNA binding would allow one to determine primary genes that govern cell division and are responsible for cancer [2]. Studying drug loading effect on TF-DNA interaction would lead to the understanding of how cancer drug exert effect. Identification of co-factors that collaboratively bind to DNA site would lead to the development of new therapeutic drugs targeting the co-factors [3].