Literature DB >> 29382556

Using DNase Hi-C techniques to map global and local three-dimensional genome architecture at high resolution.

Wenxiu Ma1, Ferhat Ay1, Choli Lee1, Gunhan Gulsoy1, Xinxian Deng2, Savannah Cook3, Jennifer Hesson3, Christopher Cavanaugh3, Carol B Ware3, Anton Krumm4, Jay Shendure5, C Anthony Blau6, Christine M Disteche2, William S Noble7, ZhiJun Duan8.   

Abstract

The folding and three-dimensional (3D) organization of chromatin in the nucleus critically impacts genome function. The past decade has witnessed rapid advances in genomic tools for delineating 3D genome architecture. Among them, chromosome conformation capture (3C)-based methods such as Hi-C are the most widely used techniques for mapping chromatin interactions. However, traditional Hi-C protocols rely on restriction enzymes (REs) to fragment chromatin and are therefore limited in resolution. We recently developed DNase Hi-C for mapping 3D genome organization, which uses DNase I for chromatin fragmentation. DNase Hi-C overcomes RE-related limitations associated with traditional Hi-C methods, leading to improved methodological resolution. Furthermore, combining this method with DNA capture technology provides a high-throughput approach (targeted DNase Hi-C) that allows for mapping fine-scale chromatin architecture at exceptionally high resolution. Hence, targeted DNase Hi-C will be valuable for delineating the physical landscapes of cis-regulatory networks that control gene expression and for characterizing phenotype-associated chromatin 3D signatures. Here, we provide a detailed description of method design and step-by-step working protocols for these two methods.
Copyright © 2018 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Chromatin; Chromosome; Chromosome conformation capture (3C); DNase Hi-C; Hi-C; Three-dimensional (3D) genome architecture

Mesh:

Substances:

Year:  2018        PMID: 29382556      PMCID: PMC5993575          DOI: 10.1016/j.ymeth.2018.01.014

Source DB:  PubMed          Journal:  Methods        ISSN: 1046-2023            Impact factor:   3.608


  61 in total

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Authors:  Nathaniel D Heintzman; Rhona K Stuart; Gary Hon; Yutao Fu; Christina W Ching; R David Hawkins; Leah O Barrera; Sara Van Calcar; Chunxu Qu; Keith A Ching; Wei Wang; Zhiping Weng; Roland D Green; Gregory E Crawford; Bing Ren
Journal:  Nat Genet       Date:  2007-02-04       Impact factor: 38.330

2.  Mapping of long-range chromatin interactions by proximity ligation-assisted ChIP-seq.

Authors:  Rongxin Fang; Miao Yu; Guoqiang Li; Sora Chee; Tristin Liu; Anthony D Schmitt; Bing Ren
Journal:  Cell Res       Date:  2016-11-25       Impact factor: 25.617

3.  Robust 4C-seq data analysis to screen for regulatory DNA interactions.

Authors:  Harmen J G van de Werken; Gilad Landan; Sjoerd J B Holwerda; Michael Hoichman; Petra Klous; Ran Chachik; Erik Splinter; Christian Valdes-Quezada; Yuva Oz; Britta A M Bouwman; Marjon J A M Verstegen; Elzo de Wit; Amos Tanay; Wouter de Laat
Journal:  Nat Methods       Date:  2012-09-09       Impact factor: 28.547

Review 4.  The 3D genome in transcriptional regulation and pluripotency.

Authors:  David U Gorkin; Danny Leung; Bing Ren
Journal:  Cell Stem Cell       Date:  2014-06-05       Impact factor: 24.633

Review 5.  Mapping human epigenomes.

Authors:  Chloe M Rivera; Bing Ren
Journal:  Cell       Date:  2013-09-26       Impact factor: 41.582

6.  Mapping 3D genome architecture through in situ DNase Hi-C.

Authors:  Vijay Ramani; Darren A Cusanovich; Ronald J Hause; Wenxiu Ma; Ruolan Qiu; Xinxian Deng; C Anthony Blau; Christine M Disteche; William S Noble; Jay Shendure; Zhijun Duan
Journal:  Nat Protoc       Date:  2016-09-29       Impact factor: 13.491

Review 7.  Three-dimensional genome architecture: players and mechanisms.

Authors:  Ana Pombo; Niall Dillon
Journal:  Nat Rev Mol Cell Biol       Date:  2015-03-11       Impact factor: 94.444

8.  Fast computation and applications of genome mappability.

Authors:  Thomas Derrien; Jordi Estellé; Santiago Marco Sola; David G Knowles; Emanuele Raineri; Roderic Guigó; Paolo Ribeca
Journal:  PLoS One       Date:  2012-01-19       Impact factor: 3.240

9.  Targeted capture and massively parallel sequencing of 12 human exomes.

Authors:  Sarah B Ng; Emily H Turner; Peggy D Robertson; Steven D Flygare; Abigail W Bigham; Choli Lee; Tristan Shaffer; Michelle Wong; Arindam Bhattacharjee; Evan E Eichler; Michael Bamshad; Deborah A Nickerson; Jay Shendure
Journal:  Nature       Date:  2009-08-16       Impact factor: 49.962

10.  Iterative correction of Hi-C data reveals hallmarks of chromosome organization.

Authors:  Maxim Imakaev; Geoffrey Fudenberg; Rachel Patton McCord; Natalia Naumova; Anton Goloborodko; Bryan R Lajoie; Job Dekker; Leonid A Mirny
Journal:  Nat Methods       Date:  2012-09-02       Impact factor: 28.547

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  8 in total

1.  Sci-Hi-C: A single-cell Hi-C method for mapping 3D genome organization in large number of single cells.

Authors:  Vijay Ramani; Xinxian Deng; Ruolan Qiu; Choli Lee; Christine M Disteche; William S Noble; Jay Shendure; Zhijun Duan
Journal:  Methods       Date:  2019-09-16       Impact factor: 3.608

2.  Fine-Mapping Complex Inversion Breakpoints and Investigating Somatic Pairing in the Anopheles gambiae Species Complex Using Proximity-Ligation Sequencing.

Authors:  Russell B Corbett-Detig; Iskander Said; Maria Calzetta; Max Genetti; Jakob McBroome; Nicholas W Maurer; Vincenzo Petrarca; Alessandra Della Torre; Nora J Besansky
Journal:  Genetics       Date:  2019-10-30       Impact factor: 4.562

3.  Targeted DNase Hi-C.

Authors:  Zhijun Duan
Journal:  Methods Mol Biol       Date:  2021

4.  HIFI: estimating DNA-DNA interaction frequency from Hi-C data at restriction-fragment resolution.

Authors:  Christopher Jf Cameron; Josée Dostie; Mathieu Blanchette
Journal:  Genome Biol       Date:  2020-01-14       Impact factor: 13.583

5.  A cookbook for DNase Hi-C.

Authors:  Maria Gridina; Evgeniy Mozheiko; Emil Valeev; Ludmila P Nazarenko; Maria E Lopatkina; Zhanna G Markova; Maria I Yablonskaya; Viktoria Yu Voinova; Nadezhda V Shilova; Igor N Lebedev; Veniamin Fishman
Journal:  Epigenetics Chromatin       Date:  2021-03-20       Impact factor: 4.954

Review 6.  The macro and micro of chromosome conformation capture.

Authors:  Viraat Y Goel; Anders S Hansen
Journal:  Wiley Interdiscip Rev Dev Biol       Date:  2020-09-28       Impact factor: 5.814

7.  OCEAN-C: mapping hubs of open chromatin interactions across the genome reveals gene regulatory networks.

Authors:  Tingting Li; Lumeng Jia; Yong Cao; Qing Chen; Cheng Li
Journal:  Genome Biol       Date:  2018-04-24       Impact factor: 13.583

8.  Stress Conditions Modulate the Chromatin Interactions Network in Arabidopsis.

Authors:  Vikash Kumar Yadav; Swadha Singh; Amrita Yadav; Neha Agarwal; Babita Singh; Siddhi Kashinath Jalmi; Vrijesh Kumar Yadav; Vipin Kumar Tiwari; Verandra Kumar; Raghvendra Singh; Samir Vishwanath Sawant
Journal:  Front Genet       Date:  2022-01-05       Impact factor: 4.599

  8 in total

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