Literature DB >> 23665589

Efficient chromatin immunoprecipitation using limiting amounts of biomass.

Dean Tantin1, Warren P Voth, Arvind Shakya.   

Abstract

Chromatin immunoprecipitation (ChIP) is a widely-used method for determining the interactions of different proteins with DNA in chromatin of living cells. Examples include sequence-specific DNA binding transcription factors, histones and their different modification states, enzymes such as RNA polymerases and ancillary factors, and DNA repair components. Despite its ubiquity, there is a lack of up-to-date, detailed methodologies for both bench preparation of material and for accurate analysis allowing quantitative metrics of interaction. Due to this lack of information, and also because, like any immunoprecipitation, conditions must be re-optimized for new sets of experimental conditions, the ChIP assay is susceptible to inaccurate or poorly quantitative results. Our protocol is ultimately derived from seminal work on transcription factor:DNA interactions(1,2) , but incorporates a number of improvements to sensitivity and reproducibility for difficult-to-obtain cell types. The protocol has been used successfully(3,4) , both using qPCR to quantify DNA enrichment, or using a semi-quantitative variant of the below protocol. This quantitative analysis of PCR-amplified material is performed computationally, and represents a limiting factor in the assay. Important controls and other considerations include the use of an isotype-matched antibody, as well as evaluation of a control region of genomic DNA, such as an intergenic region predicted not to be bound by the protein under study (or anticipated not to show changes under the experimental conditions). In addition, a standard curve of input material for every ChIP sample is used to derive absolute levels of enrichment in the experimental material. Use of standard curves helps to take into account differences between primer sets, regardless of how carefully they are designed, and also efficiency differences throughout the range of template concentrations for a single primer set. Our protocol is different from others that are available(5-8) in that we extensively cover the later, analysis phase.

Mesh:

Year:  2013        PMID: 23665589      PMCID: PMC3667687          DOI: 10.3791/50064

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


  12 in total

1.  Constitutive nuclear localization of NFAT in Foxp3+ regulatory T cells independent of calcineurin activity.

Authors:  Qiuxia Li; Arvind Shakya; Xiaohua Guo; Hongbo Zhang; Dean Tantin; Peter E Jensen; Xinjian Chen
Journal:  J Immunol       Date:  2012-04-04       Impact factor: 5.422

2.  Genome-wide localization of replication factors.

Authors:  Yoav Lubelsky; Heather K MacAlpine; David M MacAlpine
Journal:  Methods       Date:  2012-03-24       Impact factor: 3.608

3.  Oct1 is a switchable, bipotential stabilizer of repressed and inducible transcriptional states.

Authors:  Arvind Shakya; Jinsuk Kang; Jeffrey Chumley; Matthew A Williams; Dean Tantin
Journal:  J Biol Chem       Date:  2010-11-04       Impact factor: 5.157

4.  A rapid micro chromatin immunoprecipitation assay (microChIP).

Authors:  John Arne Dahl; Philippe Collas
Journal:  Nat Protoc       Date:  2008       Impact factor: 13.491

5.  Comprehensive genome-wide protein-DNA interactions detected at single-nucleotide resolution.

Authors:  Ho Sung Rhee; B Franklin Pugh
Journal:  Cell       Date:  2011-12-09       Impact factor: 41.582

6.  Epigenetic characterization of the early embryo with a chromatin immunoprecipitation protocol applicable to small cell populations.

Authors:  Laura P O'Neill; Matthew D VerMilyea; Bryan M Turner
Journal:  Nat Genet       Date:  2006-06-11       Impact factor: 38.330

7.  A streamlined method for rapid and sensitive chromatin immunoprecipitation.

Authors:  Michael L Sikes; Justin M Bradshaw; Wendell T Ivory; Jessica L Lunsford; Ruth E McMillan; Clayton R Morrison
Journal:  J Immunol Methods       Date:  2009-03-26       Impact factor: 2.303

8.  Genome-wide profiles of STAT1 DNA association using chromatin immunoprecipitation and massively parallel sequencing.

Authors:  Gordon Robertson; Martin Hirst; Matthew Bainbridge; Misha Bilenky; Yongjun Zhao; Thomas Zeng; Ghia Euskirchen; Bridget Bernier; Richard Varhol; Allen Delaney; Nina Thiessen; Obi L Griffith; Ann He; Marco Marra; Michael Snyder; Steven Jones
Journal:  Nat Methods       Date:  2007-06-11       Impact factor: 28.547

9.  Genome-wide structure and organization of eukaryotic pre-initiation complexes.

Authors:  Ho Sung Rhee; B Franklin Pugh
Journal:  Nature       Date:  2012-01-18       Impact factor: 49.962

10.  Design and analysis of ChIP-seq experiments for DNA-binding proteins.

Authors:  Peter V Kharchenko; Michael Y Tolstorukov; Peter J Park
Journal:  Nat Biotechnol       Date:  2008-11-16       Impact factor: 54.908

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  4 in total

1.  Pluripotency transcription factor Oct4 mediates stepwise nucleosome demethylation and depletion.

Authors:  Arvind Shakya; Catherine Callister; Alon Goren; Nir Yosef; Neha Garg; Vahid Khoddami; David Nix; Aviv Regev; Dean Tantin
Journal:  Mol Cell Biol       Date:  2015-01-12       Impact factor: 4.272

2.  SOX4 interacts with EZH2 and HDAC3 to suppress microRNA-31 in invasive esophageal cancer cells.

Authors:  Rainelli B Koumangoye; Thomas Andl; Kenneth J Taubenslag; Steven T Zilberman; Chase J Taylor; Holli A Loomans; Claudia D Andl
Journal:  Mol Cancer       Date:  2015-02-03       Impact factor: 27.401

3.  Oct1 and OCA-B are selectively required for CD4 memory T cell function.

Authors:  Arvind Shakya; Alon Goren; Alex Shalek; Cody N German; Jeremy Snook; Vijay K Kuchroo; Nir Yosef; Raymond C Chan; Aviv Regev; Matthew A Williams; Dean Tantin
Journal:  J Exp Med       Date:  2015-10-19       Impact factor: 14.307

4.  Tet2 coordinates with Foxo1 and Runx1 to balance T follicular helper cell and T helper 1 cell differentiation.

Authors:  Andrew Baessler; Camille L Novis; Zuolian Shen; Jelena Perovanovic; Mark Wadsworth; Kendall A Thiede; Linda M Sircy; Malia Harrison-Chau; Nguyen X Nguyen; Katherine E Varley; Dean Tantin; J Scott Hale
Journal:  Sci Adv       Date:  2022-06-15       Impact factor: 14.957

  4 in total

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