Literature DB >> 31687663

Analysis of the structural variability of topologically associated domains as revealed by Hi-C.

Natalie Sauerwald1, Akshat Singhal2, Carl Kingsford1.   

Abstract

Three-dimensional chromosome structure plays an integral role in gene expression and regulation, replication timing, and other cellular processes. Topologically associated domains (TADs), building blocks of chromosome structure, are genomic regions with higher contact frequencies within the region than outside the region. A central question is the degree to which TADs are conserved or vary between conditions. We analyze 137 Hi-C samples from 9 studies under 3 measures to quantify the effects of various sources of biological and experimental variation. We observe significant variation in TAD sets between both non-replicate and replicate samples, and provide initial evidence that this variability does not come from genetic sequence differences. The effects of experimental protocol differences are also measured, demonstrating that samples can have protocol-specific structural changes, but that TADs are generally robust to lab-specific differences. This study represents a systematic quantification of key factors influencing comparisons of chromosome structure, suggesting significant variability and the potential for cell-type-specific structural features, which has previously not been systematically explored. The lack of observed influence of heredity and genetic differences on chromosome structure suggests that factors other than the genetic sequence are driving this structure, which plays an important role in human disease and cellular functioning.

Entities:  

Year:  2019        PMID: 31687663      PMCID: PMC6824515          DOI: 10.1093/nargab/lqz008

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


  49 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.  ChromEMT: Visualizing 3D chromatin structure and compaction in interphase and mitotic cells.

Authors:  Horng D Ou; Sébastien Phan; Thomas J Deerinck; Andrea Thor; Mark H Ellisman; Clodagh C O'Shea
Journal:  Science       Date:  2017-07-28       Impact factor: 47.728

3.  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

4.  The 4D nucleome project.

Authors:  Job Dekker; Andrew S Belmont; Mitchell Guttman; Victor O Leshyk; John T Lis; Stavros Lomvardas; Leonid A Mirny; Clodagh C O'Shea; Peter J Park; Bing Ren; Joan C Ritland Politz; Jay Shendure; Sheng Zhong
Journal:  Nature       Date:  2017-09-13       Impact factor: 49.962

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.  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

7.  Identification of alternative topological domains in chromatin.

Authors:  Darya Filippova; Rob Patro; Geet Duggal; Carl Kingsford
Journal:  Algorithms Mol Biol       Date:  2014-05-03       Impact factor: 1.405

8.  3D structures of individual mammalian genomes studied by single-cell Hi-C.

Authors:  Tim J Stevens; David Lando; Srinjan Basu; Liam P Atkinson; Yang Cao; Steven F Lee; Martin Leeb; Kai J Wohlfahrt; Wayne Boucher; Aoife O'Shaughnessy-Kirwan; Julie Cramard; Andre J Faure; Meryem Ralser; Enrique Blanco; Lluis Morey; Miriam Sansó; Matthieu G S Palayret; Ben Lehner; Luciano Di Croce; Anton Wutz; Brian Hendrich; Dave Klenerman; Ernest D Laue
Journal:  Nature       Date:  2017-03-13       Impact factor: 49.962

9.  Comparison of computational methods for Hi-C data analysis.

Authors:  Francesco Ferrari; Silvio Bicciato; Mattia Forcato; Chiara Nicoletti; Koustav Pal; Carmen Maria Livi
Journal:  Nat Methods       Date:  2017-06-12       Impact factor: 28.547

10.  Higher-order chromatin domains link eQTLs with the expression of far-away genes.

Authors:  Geet Duggal; Hao Wang; Carl Kingsford
Journal:  Nucleic Acids Res       Date:  2013-10-01       Impact factor: 16.971

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  9 in total

1.  Topologically associating domain boundaries that are stable across diverse cell types are evolutionarily constrained and enriched for heritability.

Authors:  Evonne McArthur; John A Capra
Journal:  Am J Hum Genet       Date:  2021-02-04       Impact factor: 11.025

Review 2.  A TAD Skeptic: Is 3D Genome Topology Conserved?

Authors:  Ittai E Eres; Yoav Gilad
Journal:  Trends Genet       Date:  2020-11-14       Impact factor: 11.639

Review 3.  What animals can teach us about evolution, the human genome, and human disease.

Authors:  Kerstin Lindblad-Toh
Journal:  Ups J Med Sci       Date:  2020-02-14       Impact factor: 2.384

4.  Qtlizer: comprehensive QTL annotation of GWAS results.

Authors:  Matthias Munz; Inken Wohlers; Eric Simon; Tobias Reinberger; Hauke Busch; Arne S Schaefer; Jeanette Erdmann
Journal:  Sci Rep       Date:  2020-11-24       Impact factor: 4.379

5.  Deciphering hierarchical organization of topologically associated domains through change-point testing.

Authors:  Haipeng Xing; Yingru Wu; Michael Q Zhang; Yong Chen
Journal:  BMC Bioinformatics       Date:  2021-04-10       Impact factor: 3.169

6.  SVInterpreter: A Comprehensive Topologically Associated Domain-Based Clinical Outcome Prediction Tool for Balanced and Unbalanced Structural Variants.

Authors:  Joana Fino; Bárbara Marques; Zirui Dong; Dezső David
Journal:  Front Genet       Date:  2021-12-01       Impact factor: 4.599

7.  A comparison of topologically associating domain callers over mammals at high resolution.

Authors:  Emre Sefer
Journal:  BMC Bioinformatics       Date:  2022-04-12       Impact factor: 3.169

8.  Epigenetic landscapes of intracranial aneurysm risk haplotypes implicate enhancer function of endothelial cells and fibroblasts in dysregulated gene expression.

Authors:  Kerry E Poppenberg; Haley R Zebraski; Naval Avasthi; Muhammad Waqas; Adnan H Siddiqui; James N Jarvis; Vincent M Tutino
Journal:  BMC Med Genomics       Date:  2021-06-16       Impact factor: 3.063

9.  TADCompare: An R Package for Differential and Temporal Analysis of Topologically Associated Domains.

Authors:  Kellen G Cresswell; Mikhail G Dozmorov
Journal:  Front Genet       Date:  2020-03-10       Impact factor: 4.599

  9 in total

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