Literature DB >> 27130552

Chromosome conformation capture technologies and their impact in understanding genome function.

Satish Sati1,2, Giacomo Cavalli3,4.   

Abstract

It has been more than a decade since the first chromosome conformation capture (3C) assay was described. The assay was originally devised to measure the frequency with which two genomic loci interact within the three-dimensional (3D) nuclear space. Over time, this method has evolved both qualitatively and quantitatively, from detection of pairwise interaction of two unique loci to generating maps for the global chromatin interactome. Combined with the analysis of the epigenetic chromatin context, these advances led to the unmasking of general genome folding principles. The evolution of 3C-based methods has been supported first by the revolution in ChIP and then by sequencing-based approaches, methods that were primarily tools to study the unidimensional genome. The gradual improvement of 3C-based methods illustrates how the field adapted to the need to gradually address more subtle questions, beginning with enquiries of reductionist nature to reach more holistic perspectives, as the technology advanced, in a process that is greatly improving our knowledge on genome behavior and regulation. Here, we describe the evolution of 3C and other 3C-based methods for the analysis of chromatin interactions, along with a brief summary of their contribution in uncovering the significance of the three-dimensional world within the nucleus. We also discuss their inherent limitations and caveats in order to provide a critical view of the power and the limits of this technology.

Keywords:  3C; ChIA-PET; Chromosome conformation capture; Genome structure and function; Hi-C

Mesh:

Substances:

Year:  2016        PMID: 27130552     DOI: 10.1007/s00412-016-0593-6

Source DB:  PubMed          Journal:  Chromosoma        ISSN: 0009-5915            Impact factor:   4.316


  75 in total

1.  Mitotic chromosome scaffold structure: new approaches to an old controversy.

Authors:  Andrew S Belmont
Journal:  Proc Natl Acad Sci U S A       Date:  2002-12-02       Impact factor: 11.205

2.  Chromosome Conformation Capture Carbon Copy (5C): a massively parallel solution for mapping interactions between genomic elements.

Authors:  Josée Dostie; Todd A Richmond; Ramy A Arnaout; Rebecca R Selzer; William L Lee; Tracey A Honan; Eric D Rubio; Anton Krumm; Justin Lamb; Chad Nusbaum; Roland D Green; Job Dekker
Journal:  Genome Res       Date:  2006-09-05       Impact factor: 9.043

3.  Circular chromosome conformation capture (4C) uncovers extensive networks of epigenetically regulated intra- and interchromosomal interactions.

Authors:  Zhihu Zhao; Gholamreza Tavoosidana; Mikael Sjölinder; Anita Göndör; Piero Mariano; Sha Wang; Chandrasekhar Kanduri; Magda Lezcano; Kuljeet Singh Sandhu; Umashankar Singh; Vinod Pant; Vijay Tiwari; Sreenivasulu Kurukuti; Rolf Ohlsson
Journal:  Nat Genet       Date:  2006-10-08       Impact factor: 38.330

4.  Quantitative analysis of chromosome conformation capture assays (3C-qPCR).

Authors:  Hélène Hagège; Petra Klous; Caroline Braem; Erik Splinter; Job Dekker; Guy Cathala; Wouter de Laat; Thierry Forné
Journal:  Nat Protoc       Date:  2007       Impact factor: 13.491

5.  Loss of silent-chromatin looping and impaired imprinting of DLX5 in Rett syndrome.

Authors:  Shin-ichi Horike; Shutao Cai; Masaru Miyano; Jan-Fang Cheng; Terumi Kohwi-Shigematsu
Journal:  Nat Genet       Date:  2004-12-19       Impact factor: 38.330

6.  A 3D map of the human genome at kilobase resolution reveals principles of chromatin looping.

Authors:  Suhas S P Rao; Miriam H Huntley; Neva C Durand; Elena K Stamenova; Ivan D Bochkov; James T Robinson; Adrian L Sanborn; Ido Machol; Arina D Omer; Eric S Lander; Erez Lieberman Aiden
Journal:  Cell       Date:  2014-12-11       Impact factor: 41.582

7.  The pluripotent regulatory circuitry connecting promoters to their long-range interacting elements.

Authors:  Stefan Schoenfelder; Mayra Furlan-Magaril; Borbala Mifsud; Filipe Tavares-Cadete; Robert Sugar; Biola-Maria Javierre; Takashi Nagano; Yulia Katsman; Moorthy Sakthidevi; Steven W Wingett; Emilia Dimitrova; Andrew Dimond; Lucas B Edelman; Sarah Elderkin; Kristina Tabbada; Elodie Darbo; Simon Andrews; Bram Herman; Andy Higgs; Emily LeProust; Cameron S Osborne; Jennifer A Mitchell; Nicholas M Luscombe; Peter Fraser
Journal:  Genome Res       Date:  2015-03-09       Impact factor: 9.043

8.  Chromatin conformation signatures of cellular differentiation.

Authors:  James Fraser; Mathieu Rousseau; Solomon Shenker; Maria A Ferraiuolo; Yoshihide Hayashizaki; Mathieu Blanchette; Josée Dostie
Journal:  Genome Biol       Date:  2009-04-19       Impact factor: 13.583

9.  Comparison of Hi-C results using in-solution versus in-nucleus ligation.

Authors:  Takashi Nagano; Csilla Várnai; Stefan Schoenfelder; Biola-Maria Javierre; Steven W Wingett; Peter Fraser
Journal:  Genome Biol       Date:  2015-08-26       Impact factor: 13.583

10.  Targeted Chromatin Capture (T2C): a novel high resolution high throughput method to detect genomic interactions and regulatory elements.

Authors:  Petros Kolovos; Harmen Jg van de Werken; Nick Kepper; Jessica Zuin; Rutger Ww Brouwer; Christel Em Kockx; Kerstin S Wendt; Wilfred Fj van IJcken; Frank Grosveld; Tobias A Knoch
Journal:  Epigenetics Chromatin       Date:  2014-06-16       Impact factor: 4.954

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  60 in total

1.  Computational methods for predicting 3D genomic organization from high-resolution chromosome conformation capture data.

Authors:  Kimberly MacKay; Anthony Kusalik
Journal:  Brief Funct Genomics       Date:  2020-07-29       Impact factor: 4.241

Review 2.  Understanding 3D genome organization by multidisciplinary methods.

Authors:  Ivana Jerkovic; Giacomo Cavalli
Journal:  Nat Rev Mol Cell Biol       Date:  2021-05-05       Impact factor: 94.444

Review 3.  Organization and function of the 3D genome.

Authors:  Boyan Bonev; Giacomo Cavalli
Journal:  Nat Rev Genet       Date:  2016-10-14       Impact factor: 53.242

4.  Genome Dashboards: Framework and Examples.

Authors:  Zilong Li; Ran Sun; Thomas C Bishop
Journal:  Biophys J       Date:  2020-02-29       Impact factor: 4.033

Review 5.  Computational approaches for inferring 3D conformations of chromatin from chromosome conformation capture data.

Authors:  Dario Meluzzi; Gaurav Arya
Journal:  Methods       Date:  2019-08-27       Impact factor: 3.608

Review 6.  Epigenetics of Skeletal Diseases.

Authors:  Alvaro Del Real; Leyre Riancho-Zarrabeitia; Laura López-Delgado; José A Riancho
Journal:  Curr Osteoporos Rep       Date:  2018-06       Impact factor: 5.096

Review 7.  An Emerging Regulatory Landscape for Skeletal Development.

Authors:  Hironori Hojo; Andrew P McMahon; Shinsuke Ohba
Journal:  Trends Genet       Date:  2016-11-01       Impact factor: 11.639

Review 8.  Invited Review: Epigenetics in neurodevelopment.

Authors:  R D Salinas; D R Connolly; H Song
Journal:  Neuropathol Appl Neurobiol       Date:  2020-03-09       Impact factor: 8.090

Review 9.  Role of CTCF in DNA damage response.

Authors:  Vinay Singh Tanwar; Cynthia C Jose; Suresh Cuddapah
Journal:  Mutat Res Rev Mutat Res       Date:  2018-02-23       Impact factor: 5.657

10.  Intrinsic DNA topology as a prioritization metric in genomic fine-mapping studies.

Authors:  Hannah C Ainsworth; Timothy D Howard; Carl D Langefeld
Journal:  Nucleic Acids Res       Date:  2020-11-18       Impact factor: 16.971

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