Literature DB >> 25079303

DNA-affinity-purified chip (DAP-chip) method to determine gene targets for bacterial two component regulatory systems.

Lara Rajeev1, Eric G Luning2, Aindrila Mukhopadhyay2.   

Abstract

In vivo methods such as ChIP-chip are well-established techniques used to determine global gene targets for transcription factors. However, they are of limited use in exploring bacterial two component regulatory systems with uncharacterized activation conditions. Such systems regulate transcription only when activated in the presence of unique signals. Since these signals are often unknown, the in vitro microarray based method described in this video article can be used to determine gene targets and binding sites for response regulators. This DNA-affinity-purified-chip method may be used for any purified regulator in any organism with a sequenced genome. The protocol involves allowing the purified tagged protein to bind to sheared genomic DNA and then affinity purifying the protein-bound DNA, followed by fluorescent labeling of the DNA and hybridization to a custom tiling array. Preceding steps that may be used to optimize the assay for specific regulators are also described. The peaks generated by the array data analysis are used to predict binding site motifs, which are then experimentally validated. The motif predictions can be further used to determine gene targets of orthologous response regulators in closely related species. We demonstrate the applicability of this method by determining the gene targets and binding site motifs and thus predicting the function for a sigma54-dependent response regulator DVU3023 in the environmental bacterium Desulfovibrio vulgaris Hildenborough.

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Year:  2014        PMID: 25079303      PMCID: PMC4233932          DOI: 10.3791/51715

Source DB:  PubMed          Journal:  J Vis Exp        ISSN: 1940-087X            Impact factor:   1.355


  21 in total

1.  Identification of potential sigma(N)-dependent promoters in bacterial genomes.

Authors:  D J Studholme; M Buck; T Nixon
Journal:  Microbiology       Date:  2000-12       Impact factor: 2.777

2.  Oligomerization of the response regulator ComE from Streptococcus mutans is affected by phosphorylation.

Authors:  David C I Hung; Jennifer S Downey; Jens Kreth; Fengxia Qi; Wenyuan Shi; Dennis G Cvitkovitch; Steven D Goodman
Journal:  J Bacteriol       Date:  2011-12-30       Impact factor: 3.490

3.  ChIP-Seq using high-throughput DNA sequencing for genome-wide identification of transcription factor binding sites.

Authors:  Philippe Lefrançois; Wei Zheng; Michael Snyder
Journal:  Methods Enzymol       Date:  2010-03-01       Impact factor: 1.600

4.  DIP-chip: rapid and accurate determination of DNA-binding specificity.

Authors:  Xiao Liu; David M Noll; Jason D Lieb; Neil D Clarke
Journal:  Genome Res       Date:  2005-02-14       Impact factor: 9.043

Review 5.  Receiver domain structure and function in response regulator proteins.

Authors:  Robert B Bourret
Journal:  Curr Opin Microbiol       Date:  2010-03-06       Impact factor: 7.934

6.  DNA Immunoprecipitation (DIP) for the Determination of DNA-Binding Specificity.

Authors:  Andrea J Gossett; Jason D Lieb
Journal:  CSH Protoc       Date:  2008-03-01

Review 7.  Diversity of structure and function of response regulator output domains.

Authors:  Michael Y Galperin
Journal:  Curr Opin Microbiol       Date:  2010-03-11       Impact factor: 7.934

8.  Systematic mapping of two component response regulators to gene targets in a model sulfate reducing bacterium.

Authors:  Lara Rajeev; Eric G Luning; Paramvir S Dehal; Morgan N Price; Adam P Arkin; Aindrila Mukhopadhyay
Journal:  Genome Biol       Date:  2011-10-12       Impact factor: 13.583

9.  ChIP-chip versus ChIP-seq: lessons for experimental design and data analysis.

Authors:  Joshua W K Ho; Eric Bishop; Peter V Karchenko; Nicolas Nègre; Kevin P White; Peter J Park
Journal:  BMC Genomics       Date:  2011-02-28       Impact factor: 3.969

10.  RegPrecise web services interface: programmatic access to the transcriptional regulatory interactions in bacteria reconstructed by comparative genomics.

Authors:  Pavel S Novichkov; Thomas S Brettin; Elena S Novichkova; Paramvir S Dehal; Adam P Arkin; Inna Dubchak; Dmitry A Rodionov
Journal:  Nucleic Acids Res       Date:  2012-06-14       Impact factor: 16.971

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  3 in total

1.  Regulation of Nitrite Stress Response in Desulfovibrio vulgaris Hildenborough, a Model Sulfate-Reducing Bacterium.

Authors:  Lara Rajeev; Amy Chen; Alexey E Kazakov; Eric G Luning; Grant M Zane; Pavel S Novichkov; Judy D Wall; Aindrila Mukhopadhyay
Journal:  J Bacteriol       Date:  2015-08-17       Impact factor: 3.490

2.  Cistrome and Epicistrome Features Shape the Regulatory DNA Landscape.

Authors:  Ronan C O'Malley; Shao-Shan Carol Huang; Liang Song; Mathew G Lewsey; Anna Bartlett; Joseph R Nery; Mary Galli; Andrea Gallavotti; Joseph R Ecker
Journal:  Cell       Date:  2016-05-19       Impact factor: 41.582

Review 3.  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

  3 in total

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