Literature DB >> 27557760

Quantitative Analysis of Protein-DNA Interaction by qDPI-ELISA.

Stefan M Fischer1, Alexander Böser2, Jan P Hirsch2, Dierk Wanke3,4.   

Abstract

The specific binding of DNA-binding proteins to their cognate DNA motifs is a crucial step for gene expression control and chromatin organization in vivo. The development of methods for the identification of in vivo binding regions by, e.g. chromatin immunoprecipitation (ChIP) or DNA adenine methyltransferase identification (Dam-ID) added an additional level of qualitative information for data mining in systems biology or applications in synthetic biology. In this respect, the in vivo techniques outpaced methods for thorough characterization of protein-DNA interaction and, especially, of the binding motifs at single base-pair resolution. The elucidation of DNA-binding capacities of proteins is frequently done with methods such as yeast one-hybrid, electrophoretic mobility shift assay (EMSA) or systematic evolution of ligands by exponential enrichment (SELEX) that provide only qualitative binding information and are not suited for automation or high-throughput screening of several DNA motifs. Here, we describe the quantitative DNA-protein-Interaction-ELISA (qDPI-ELISA) protocol, which makes use of fluorescent fusion proteins and, hence, is faster and easier to handle than the classical DPI-ELISA. Although every DPI-ELISA experiment delivers quantitative information, the qDPI-ELISA has an increased consistency, as it does not depend on immunological detection. We demonstrate the high comparability between probes and different protein extracts in qDPI-ELISA experiments.

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Keywords:  Cis-regulatory elements; DNA binding; GFP-BPC6; Protein–DNA interaction; Quantitative DNA–protein-Interaction-ELISA (qDPI-ELISA); Quantitative analysis of DNA binding; Synthetic DNA probes; Transcription factor-DNA binding kinetics

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Year:  2016        PMID: 27557760     DOI: 10.1007/978-1-4939-6396-6_4

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  5 in total

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2.  The Striking Flower-in-Flower Phenotype of Arabidopsis thaliana Nossen (No-0) is Caused by a Novel LEAFY Allele.

Authors:  Anne Mohrholz; Hequan Sun; Nina Glöckner; Sabine Hummel; Üner Kolukisaoglu; Korbinian Schneeberger; Klaus Harter
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3.  Identification of the sex-determining factor in the liverwort Marchantia polymorpha reveals unique evolution of sex chromosomes in a haploid system.

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Journal:  Curr Biol       Date:  2021-11-03       Impact factor: 10.900

Review 4.  Tools to map target genes of bacterial two-component system response regulators.

Authors:  Lara Rajeev; Megan E Garber; Aindrila Mukhopadhyay
Journal:  Environ Microbiol Rep       Date:  2020-04-05       Impact factor: 3.541

5.  Phylogenetic Analyses and GAGA-Motif Binding Studies of BBR/BPC Proteins Lend to Clues in GAGA-Motif Recognition and a Regulatory Role in Brassinosteroid Signaling.

Authors:  Marius L Theune; Ulrich Bloss; Luise H Brand; Friederike Ladwig; Dierk Wanke
Journal:  Front Plant Sci       Date:  2019-04-16       Impact factor: 5.753

  5 in total

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