Literature DB >> 17290817

Analysis of protein-DNA interactions using surface plasmon resonance.

Jerzy Majka1, Christian Speck.   

Abstract

Protein-DNA interactions are required for access and protection of the genetic information within the cell. Historically these interactions have been studied using genetic, biochemical, and structural methods resulting in qualitative or semiquantitative interaction data. In the future the focus will be on high quality quantitative data to model a huge number of interactions forming a specific network in system biology approaches. Toward this aim, BIAcore introduced in 1990 the first commercial machine that uses surface plasmon resonance (SPR) to study the real-time kinetics of biomolecular interactions. Since then systems have been developed to allow for robust analysis of a multitude of protein-DNA interactions. Here we provide a detailed guide for protein-DNA interaction analysis using the BIAcore, starting with a description of the SPR technology, giving recommendations on preliminary studies, and finishing with extensive information on quantitative and qualitative data analysis. One focus is on cooperative protein-DNA interactions, where proteins interact with each other to modulate their binding specificity or affinity. The BIAcore has been used for the last 14 years to study protein-DNA interactions; our literature review focuses on some high quality studies describing a wide range of experimental uses, covering simple 1 : 1 interactions, analysis of complicated multiprotein-DNA interaction systems, and analytical uses.

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Year:  2007        PMID: 17290817

Source DB:  PubMed          Journal:  Adv Biochem Eng Biotechnol        ISSN: 0724-6145            Impact factor:   2.635


  34 in total

1.  Using competition assays to quantitatively model cooperative binding by transcription factors and other ligands.

Authors:  Jacob Peacock; James B Jaynes
Journal:  Biochim Biophys Acta Gen Subj       Date:  2017-08-01       Impact factor: 3.770

Review 2.  DNA-protein interactions: methods for detection and analysis.

Authors:  Bipasha Dey; Sameer Thukral; Shruti Krishnan; Mainak Chakrobarty; Sahil Gupta; Chanchal Manghani; Vibha Rani
Journal:  Mol Cell Biochem       Date:  2012-03-08       Impact factor: 3.396

Review 3.  Experimental strategies for studying transcription factor-DNA binding specificities.

Authors:  Marcel Geertz; Sebastian J Maerkl
Journal:  Brief Funct Genomics       Date:  2010-09-23       Impact factor: 4.241

Review 4.  Discovery and verification of functional single nucleotide polymorphisms in regulatory genomic regions: current and developing technologies.

Authors:  Brian N Chorley; Xuting Wang; Michelle R Campbell; Gary S Pittman; Maher A Noureddine; Douglas A Bell
Journal:  Mutat Res       Date:  2008-05-04       Impact factor: 2.433

5.  A general method for discovering inhibitors of protein-DNA interactions using photonic crystal biosensors.

Authors:  Leo L Chan; Maria Pineda; James T Heeres; Paul J Hergenrother; Brian T Cunningham
Journal:  ACS Chem Biol       Date:  2008-07-18       Impact factor: 5.100

6.  Analysis of Protein-DNA Interactions Using Surface Plasmon Resonance and a ReDCaT Chip.

Authors:  Clare E M Stevenson; David M Lawson
Journal:  Methods Mol Biol       Date:  2021

7.  Quantitative analysis of transcription factor binding and expression using calling cards reporter arrays.

Authors:  Jiayue Liu; Christian A Shively; Robi D Mitra
Journal:  Nucleic Acids Res       Date:  2020-05-21       Impact factor: 16.971

8.  High-affinity immobilization of proteins using biotin- and GST-based coupling strategies.

Authors:  Stephanie Q Hutsell; Randall J Kimple; David P Siderovski; Francis S Willard; Adam J Kimple
Journal:  Methods Mol Biol       Date:  2010

Review 9.  Transcriptional Effects of ApoE4: Relevance to Alzheimer's Disease.

Authors:  Veena Theendakara; Clare A Peters-Libeu; Dale E Bredesen; Rammohan V Rao
Journal:  Mol Neurobiol       Date:  2017-09-06       Impact factor: 5.590

10.  Specificity of Atonal and Scute bHLH factors: analysis of cognate E box binding sites and the influence of Senseless.

Authors:  Lynn M Powell; Aimée M Deaton; Martin A Wear; Andrew P Jarman
Journal:  Genes Cells       Date:  2008-08-04       Impact factor: 1.891

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