Literature DB >> 32270138

HIPPIE2: a method for fine-scale identification of physically interacting chromatin regions.

Pavel P Kuksa1, Alexandre Amlie-Wolf2, Yih-Chii Hwang3, Otto Valladares1, Brian D Gregory2,4, Li-San Wang1,2.   

Abstract

Most regulatory chromatin interactions are mediated by various transcription factors (TFs) and involve physically interacting elements such as enhancers, insulators or promoters. To map these elements and interactions at a fine scale, we developed HIPPIE2 that analyzes raw reads from high-throughput chromosome conformation (Hi-C) experiments to identify precise loci of DNA physically interacting regions (PIRs). Unlike standard genome binning approaches (e.g. 10-kb to 1-Mb bins), HIPPIE2 dynamically infers the physical locations of PIRs using the distribution of restriction sites to increase analysis precision and resolution. We applied HIPPIE2 to in situ Hi-C datasets across six human cell lines (GM12878, IMR90, K562, HMEC, HUVEC, NHEK) with matched ENCODE/Roadmap functional genomic data. HIPPIE2 detected 1042 738 distinct PIRs, with high resolution (average PIR length of 1006 bp) and high reproducibility (92.3% in GM12878). PIRs are enriched for epigenetic marks (H3K27ac, H3K4me1) and open chromatin, suggesting active regulatory roles. HIPPIE2 identified 2.8 million significant PIR-PIR interactions, 27.2% of which were enriched for TF binding sites. 50 608 interactions were enhancer-promoter interactions and were enriched for 33 TFs, including known DNA looping/long-range mediators. These findings demonstrate that the novel dynamic approach of HIPPIE2 (https://bitbucket.com/wanglab-upenn/HIPPIE2) enables the characterization of chromatin and regulatory interactions with high resolution and reproducibility.
© The Author(s) 2019. Published by Oxford University Press on behalf of NAR Genomics and Bioinformatics.

Entities:  

Year:  2020        PMID: 32270138      PMCID: PMC7106622          DOI: 10.1093/nargab/lqaa022

Source DB:  PubMed          Journal:  NAR Genom Bioinform        ISSN: 2631-9268


  47 in total

1.  Probabilistic modeling of Hi-C contact maps eliminates systematic biases to characterize global chromosomal architecture.

Authors:  Eitan Yaffe; Amos Tanay
Journal:  Nat Genet       Date:  2011-10-16       Impact factor: 38.330

2.  The Hitchhiker's guide to Hi-C analysis: practical guidelines.

Authors:  Bryan R Lajoie; Job Dekker; Noam Kaplan
Journal:  Methods       Date:  2014-11-06       Impact factor: 3.608

3.  BEDTools: a flexible suite of utilities for comparing genomic features.

Authors:  Aaron R Quinlan; Ira M Hall
Journal:  Bioinformatics       Date:  2010-01-28       Impact factor: 6.937

Review 4.  Modification of enhancer chromatin: what, how, and why?

Authors:  Eliezer Calo; Joanna Wysocka
Journal:  Mol Cell       Date:  2013-03-07       Impact factor: 17.970

5.  Comprehensive mapping of long-range interactions reveals folding principles of the human genome.

Authors:  Erez Lieberman-Aiden; Nynke L van Berkum; Louise Williams; Maxim Imakaev; Tobias Ragoczy; Agnes Telling; Ido Amit; Bryan R Lajoie; Peter J Sabo; Michael O Dorschner; Richard Sandstrom; Bradley Bernstein; M A Bender; Mark Groudine; Andreas Gnirke; John Stamatoyannopoulos; Leonid A Mirny; Eric S Lander; Job Dekker
Journal:  Science       Date:  2009-10-09       Impact factor: 47.728

6.  Detecting hierarchical genome folding with network modularity.

Authors:  Heidi K Norton; Daniel J Emerson; Harvey Huang; Jesi Kim; Katelyn R Titus; Shi Gu; Danielle S Bassett; Jennifer E Phillips-Cremins
Journal:  Nat Methods       Date:  2018-01-15       Impact factor: 28.547

7.  Mapping long-range promoter contacts in human cells with high-resolution capture Hi-C.

Authors:  Borbala Mifsud; Filipe Tavares-Cadete; Alice N Young; Robert Sugar; Stefan Schoenfelder; Lauren Ferreira; Steven W Wingett; Simon Andrews; William Grey; Philip A Ewels; Bram Herman; Scott Happe; Andy Higgs; Emily LeProust; George A Follows; Peter Fraser; Nicholas M Luscombe; Cameron S Osborne
Journal:  Nat Genet       Date:  2015-05-04       Impact factor: 38.330

8.  Factorbook.org: a Wiki-based database for transcription factor-binding data generated by the ENCODE consortium.

Authors:  Jie Wang; Jiali Zhuang; Sowmya Iyer; Xin-Ying Lin; Melissa C Greven; Bong-Hyun Kim; Jill Moore; Brian G Pierce; Xianjun Dong; Daniel Virgil; Ewan Birney; Jui-Hung Hung; Zhiping Weng
Journal:  Nucleic Acids Res       Date:  2012-11-29       Impact factor: 16.971

9.  Binless normalization of Hi-C data provides significant interaction and difference detection independent of resolution.

Authors:  Yannick G Spill; David Castillo; Enrique Vidal; Marc A Marti-Renom
Journal:  Nat Commun       Date:  2019-04-26       Impact factor: 14.919

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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  1 in total

1.  Integration of Multiple Resolution Data in 3D Chromatin Reconstruction Using ChromStruct.

Authors:  Claudia Caudai; Monica Zoppè; Anna Tonazzini; Ivan Merelli; Emanuele Salerno
Journal:  Biology (Basel)       Date:  2021-04-16
  1 in total

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