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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao https://doi.org/10.1...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
https://doi.org/10.1007/978-1-...
Part of book or chapter of book . 2016 . Peer-reviewed
License: Springer TDM
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Quantitative Analysis of Protein–DNA Interaction by qDPI-ELISA

Authors: Stefan M, Fischer; Alexander, Böser; Jan P, Hirsch; Dierk, Wanke;

Quantitative Analysis of Protein–DNA Interaction by qDPI-ELISA

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.

Related Organizations
Keywords

DNA-Binding Proteins, Chromatin Immunoprecipitation, Site-Specific DNA-Methyltransferase (Adenine-Specific), Binding Sites, DNA, Nucleotide Motifs, Chromatin, Protein Binding, Transcription Factors

  • BIP!
    Impact byBIP!
    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    11
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
Powered by OpenAIRE graph
citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
11
Top 10%
Average
Top 10%