scholarly journals Hi-C 2.0: An optimized Hi-C procedure for high-resolution genome-wide mapping of chromosome conformation

Methods ◽  
2017 ◽  
Vol 123 ◽  
pp. 56-65 ◽  
Author(s):  
Houda Belaghzal ◽  
Job Dekker ◽  
Johan H. Gibcus
Keyword(s):  
High Resolution ◽  
Chromosome Conformation ◽  
Genome Wide

scholarly journals High-resolution targeted 3C interrogation of cis-regulatory element organization at genome-wide scale

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Damien J. Downes ◽  
Robert A. Beagrie ◽  
Matthew E. Gosden ◽  
Jelena Telenius ◽  
Stephanie J. Carpenter ◽  
...  
Keyword(s):  
Gene Expression ◽  
High Resolution ◽  
Regulatory Element ◽  
Gene Promoters ◽  
Entire Genome ◽  
Chromosome Conformation ◽  
Genome Wide ◽  
Wide Scale

AbstractChromosome conformation capture (3C) provides an adaptable tool for studying diverse biological questions. Current 3C methods generally provide either low-resolution interaction profiles across the entire genome, or high-resolution interaction profiles at limited numbers of loci. Due to technical limitations, generation of reproducible high-resolution interaction profiles has not been achieved at genome-wide scale. Here, to overcome this barrier, we systematically test each step of 3C and report two improvements over current methods. We show that up to 30% of reporter events generated using the popular in situ 3C method arise from ligations between two individual nuclei, but this noise can be almost entirely eliminated by isolating intact nuclei after ligation. Using Nuclear-Titrated Capture-C, we generate reproducible high-resolution genome-wide 3C interaction profiles by targeting 8055 gene promoters in erythroid cells. By pairing high-resolution 3C interaction calls with nascent gene expression we interrogate the role of promoter hubs and super-enhancers in gene regulation.

scholarly journals HiCORE: Hi-C analysis for identification of core chromatin loops with higher resolution and reliability

2020 ◽  
Author(s):  
Hongwoo Lee ◽  
Pil Joon Seo
Keyword(s):  
High Resolution ◽  
High Throughput Sequencing ◽  
Stochastic Noise ◽  
3D Interaction ◽  
Chromosome Conformation ◽  
Genome Coverage ◽  
Chromatin Loops ◽  
Chromatin Interactions ◽  
Genome Wide ◽  
Physical Interactions

AbstractGenome-wide chromosome conformation capture (3C)-based high-throughput sequencing (Hi-C) has enabled identification of genome-wide chromatin loops. Because the Hi-C map with restriction fragment resolution is intrinsically associated with sparsity and stochastic noise, Hi-C data are usually binned at particular intervals; however, the binning method has limited reliability, especially at high resolution. Here, we describe a new method called HiCORE, which provides simple pipelines and algorithms to overcome the limitations of single-layered binning and predict core chromatin regions with 3D physical interactions. In this approach, multiple layers of binning with slightly shifted genome coverage are generated, and interacting bins at each layer are integrated to infer narrower regions of chromatin interactions. HiCORE predicts chromatin looping regions with higher resolution and contributes to the identification of the precise positions of potential genomic elements.Author SummaryThe Hi-C analysis has enabled to obtain information on 3D interaction of genomes. While various approaches have been developed for the identification of reliable chromatin loops, binning methods have been limitedly improved. We here developed HiCORE algorithm that generates multiple layers of bin-array and specifies core chromatin regions with 3D interactions. We validated our algorithm and provided advantages over conventional binning method. Overall, HiCORE facilitates to predict chromatin loops with higher resolution and reliability, which is particularly relevant in analysis of small genomes.

scholarly journals Targeted high-resolution chromosome conformation capture at genome-wide scale

2020 ◽  
Author(s):  
Damien J. Downes ◽  
Matthew E. Gosden ◽  
Jelena Telenius ◽  
Stephanie J. Carpenter ◽  
Lea Nussbaum ◽  
...  
Keyword(s):  
High Resolution ◽  
Fold Increase ◽  
Chromosome Conformation Capture ◽  
New Method ◽  
Entire Genome ◽  
Chromosome Conformation ◽  
Target Sequencing ◽  
Genome Wide ◽  
Technical Modifications ◽  
Wide Scale

ABSTRACTChromosome conformation capture (3C) provides an adaptable tool for studying diverse biological questions. Current 3C methods provide either low-resolution interaction profiles across the entire genome, or high-resolution interaction profiles at up to several hundred loci. All 3C methods are affected to varying degrees by inefficiency, bias and noise. As such, generation of reproducible high-resolution interaction profiles has not been achieved at scale. To overcome this barrier, we systematically tested and improved upon current methods. We show that isolation of 3C libraries from intact nuclei, as well as shortening and titration of enrichment oligonucleotides used in high-resolution methods reduces noise and increases on-target sequencing. We combined these technical modifications into a new method Nuclear-Titrated (NuTi) Capture-C, which provides a >3-fold increase in informative sequencing content over current Capture-C protocols. Using NuTi Capture-C we target 8,061 promoters in triplicate, demonstrating that this method generates reproducible high-resolution genome-wide 3C interaction profiles at scale.

scholarly journals Hi-C 2.0: An Optimized Hi-C Procedure for High-Resolution Genome-Wide Mapping of Chromosome Conformation

2016 ◽  
Author(s):  
Houda Belaghzal ◽  
Job Dekker ◽  
Johan H. Gibcus
Keyword(s):  
High Resolution ◽  
Chromosome Conformation Capture ◽  
Digital Information ◽  
Dna Loops ◽  
Chromosome Conformation ◽  
Chromatin Interactions ◽  
Genome Wide

ABSTRACTChromosome conformation capture-based methods such as Hi-C have become mainstream techniques for the study of the 3D organization of genomes. These methods convert chromatin interactions reflecting topological chromatin structures into digital information (counts of pair-wise interactions). Here, we describe an updated protocol for Hi-C (Hi-C 2.0) that integrates recent improvements into a single protocol for efficient and high-resolution capture of chromatin interactions. This protocol combines chromatin digestion and frequently cutting enzymes to obtain kilobase (Kb) resolution. It also includes steps to reduce random ligation and the generation of uninformative molecules, such as unligated ends, to improve the amount of valid intra-chromosomal read pairs. This protocol allows for obtaining information on conformational structures such as compartment and TADs, as well as high-resolution conformational features such as DNA loops.

scholarly journals High-resolution analysis of cis -acting regulatory networks at the α-globin locus

2013 ◽  
Vol 368 (1620) ◽  
pp. 20120361 ◽  
Author(s):  
Jim R. Hughes ◽  
Karen M. Lower ◽  
Ian Dunham ◽  
Stephen Taylor ◽  
Marco De Gobbi ◽  
...  
Keyword(s):  
High Resolution ◽  
Gene Cluster ◽  
Regulatory Networks ◽  
Single Gene ◽  
Regulatory Elements ◽  
Circular Chromosome ◽  
Chromosome Conformation ◽  
Cis Acting ◽  
High Resolution Analysis ◽  
Resolution Analysis

We have combined the circular chromosome conformation capture protocol with high-throughput, genome-wide sequence analysis to characterize the cis -acting regulatory network at a single locus. In contrast to methods which identify large interacting regions (10–1000 kb), the 4C approach provides a comprehensive, high-resolution analysis of a specific locus with the aim of defining, in detail, the cis -regulatory elements controlling a single gene or gene cluster. Using the human α-globin locus as a model, we detected all known local and long-range interactions with this gene cluster. In addition, we identified two interactions with genes located 300 kb (NME4) and 625 kb (FAM173a) from the α-globin cluster.

Genome-Wide High-Resolution Screening in Dupuytren's Disease Reveals Common Regions of DNA Copy Number Alterations

2010 ◽  
Vol 35 (7) ◽  
pp. 1172-1183.e7 ◽  
Author(s):  
Barbara B. Shih ◽  
May Tassabehji ◽  
James S. Watson ◽  
Angus D. McGrouther ◽  
Ardeshir Bayat
Keyword(s):  
High Resolution ◽  
Copy Number ◽  
Dupuytren’S Disease ◽  
Copy Number Alterations ◽  
Dna Copy Number ◽  
Dupuytren's Disease ◽  
Genome Wide ◽  
Dna Copy Number Alterations

High-resolution genome-wide array-CGH reveals copy number variations associated with premature ovarian failure

Placenta ◽  
2011 ◽  
Vol 32 ◽  
pp. S282
Author(s):  
Paola Scaruffi ◽  
Sara Stigliani ◽  
Annamaria Jane Nicoletti ◽  
Pier Luigi Venturini ◽  
Gian Paolo Tonini ◽  
...  
Keyword(s):  
High Resolution ◽  
Premature Ovarian Failure ◽  
Copy Number ◽  
Array Cgh ◽  
Copy Number Variations ◽  
Ovarian Failure ◽  
Genome Wide
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