Literature DB >> 33421000

Profiling Protein-DNA Interactions by Chromatin Immunoprecipitation in Arabidopsis.

Hendry Susila1, Zeeshan Nasim1, Suhyun Jin1, Geummin Youn1, Hyewon Jeong1, Ji-Yul Jung1, Ji Hoon Ahn2.   

Abstract

In plant cells, transcription factors play an important role in the regulation of gene expression, which eventually leads to the formation of complex phenotypes. Although chromatin immunoprecipitation (ChIP) involves a lengthy process that requires up to 4 days to complete, it is a powerful technique to investigate the interactions between transcription factors and their target sequences in vivo. Here, we describe a detailed ChIP protocol, focusing on ChIP-qPCR, from material collection to data analyses. Moreover, we explain multiple checkpoints for the quality control of ChIP-qPCR data to ensure the success of this protocol. As this protocol is robust, it can be adapted to other plant materials and plant species, and it can be used for genome-wide profiling experiments, including ChIP-chip and ChIP-seq analyses. We believe that our ChIP-qPCR protocol facilitates research on the interactions between plant transcription factors and their target sequences in vivo.

Entities:  

Keywords:  Arabidopsis; Chromatin immunoprecipitation (ChIP); Protein–DNA interactions

Mesh:

Substances:

Year:  2021        PMID: 33421000     DOI: 10.1007/978-1-0716-1186-9_21

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


  12 in total

1.  Genome-wide location and function of DNA binding proteins.

Authors:  B Ren; F Robert; J J Wyrick; O Aparicio; E G Jennings; I Simon; J Zeitlinger; J Schreiber; N Hannett; E Kanin; T L Volkert; C J Wilson; S P Bell; R A Young
Journal:  Science       Date:  2000-12-22       Impact factor: 47.728

Review 2.  The role of chromatin during transcription.

Authors:  Bing Li; Michael Carey; Jerry L Workman
Journal:  Cell       Date:  2007-02-23       Impact factor: 41.582

3.  Crystal structure of the nucleosome core particle at 2.8 A resolution.

Authors:  K Luger; A W Mäder; R K Richmond; D F Sargent; T J Richmond
Journal:  Nature       Date:  1997-09-18       Impact factor: 49.962

4.  DNA-binding specificities of plant transcription factors and their potential to define target genes.

Authors:  José M Franco-Zorrilla; Irene López-Vidriero; José L Carrasco; Marta Godoy; Pablo Vera; Roberto Solano
Journal:  Proc Natl Acad Sci U S A       Date:  2014-01-29       Impact factor: 11.205

Review 5.  Transcription factor-DNA binding: beyond binding site motifs.

Authors:  Sachi Inukai; Kian Hong Kock; Martha L Bulyk
Journal:  Curr Opin Genet Dev       Date:  2017-03-27       Impact factor: 5.578

6.  Detecting protein-DNA interactions in vivo: distribution of RNA polymerase on specific bacterial genes.

Authors:  D S Gilmour; J T Lis
Journal:  Proc Natl Acad Sci U S A       Date:  1984-07       Impact factor: 11.205

Review 7.  Dynamic regulation of transcriptional states by chromatin and transcription factors.

Authors:  Ty C Voss; Gordon L Hager
Journal:  Nat Rev Genet       Date:  2013-12-17       Impact factor: 53.242

8.  Mapping protein-DNA interactions in vivo with formaldehyde: evidence that histone H4 is retained on a highly transcribed gene.

Authors:  M J Solomon; P L Larsen; A Varshavsky
Journal:  Cell       Date:  1988-06-17       Impact factor: 41.582

9.  Genome-wide mapping of in vivo protein-DNA interactions.

Authors:  David S Johnson; Ali Mortazavi; Richard M Myers; Barbara Wold
Journal:  Science       Date:  2007-05-31       Impact factor: 47.728

Review 10.  Pioneer transcription factors: establishing competence for gene expression.

Authors:  Kenneth S Zaret; Jason S Carroll
Journal:  Genes Dev       Date:  2011-11-01       Impact factor: 11.361

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  2 in total

1.  Polymerase II-Associated Factor 1 Complex-Regulated FLOWERING LOCUS C-Clade Genes Repress Flowering in Response to Chilling.

Authors:  Zeeshan Nasim; Hendry Susila; Suhyun Jin; Geummin Youn; Ji Hoon Ahn
Journal:  Front Plant Sci       Date:  2022-02-09       Impact factor: 5.753

2.  SDNN-PPI: self-attention with deep neural network effect on protein-protein interaction prediction.

Authors:  Xue Li; Peifu Han; Gan Wang; Wenqi Chen; Shuang Wang; Tao Song
Journal:  BMC Genomics       Date:  2022-06-27       Impact factor: 4.547

  2 in total

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