Multiplexed chromosome conformation capture sequencing for rapid genome-scale high-resolution detection of long-range chromatin interactions

2013 ◽  
Vol 8 (3) ◽  
pp. 509-524 ◽  
Author(s):  
Ralph Stadhouders ◽  
Petros Kolovos ◽  
Rutger Brouwer ◽  
Jessica Zuin ◽  
Anita van den Heuvel ◽  
...  
Methods ◽  
2012 ◽  
Vol 58 (3) ◽  
pp. 192-203 ◽  
Author(s):  
Natalia Naumova ◽  
Emily M. Smith ◽  
Ye Zhan ◽  
Job Dekker

2016 ◽  
Author(s):  
Houda Belaghzal ◽  
Job Dekker ◽  
Johan H. Gibcus

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.


2021 ◽  
Author(s):  
Damien J. Downes ◽  
Jim R. Hughes

Abstract NuTi Capture-C is a Chromosome Conformation Capture (3C) approach, which can very efficiently identify chromatin interactions at target viewpoints at high resolution. The addition of high-throughput sequencing adaptors prior to enrichment allows for multiplexing of replicates and comparison samples. This method is an improvement on the previous NG Capture-C1 method in that modifications have been made to the in situ 3C method to improve nuclear integrity (Nuclear 3C). Additionally, capture has been optimised to viewpoint complexity through titration, maximising on target sequence specificity. The experiment will take several weeks and provide reproducible interaction profiles for tens to thousands of viewpoints of interest.


2020 ◽  
Author(s):  
Marlies E. Oomen ◽  
Adam K. Hedger ◽  
Jonathan K. Watts ◽  
Job Dekker

Abstract Current chromosome conformation capture techniques are not able to distinguish sister chromatids. Here we describe the protocol of SisterC1: a novel Hi-C technique that leverages BrdU incorporation and UV/Hoechst-induced single strand breaks to identify interactions along and between sister chromatids. By synchronizing cells, BrdU is incorporated only on the newly replicated strand, which distinguishes the two sister chromatids2,3. This is followed by Hi-C4 of cells that can be arrested in different stages of the cell cycle, e.g. in mitosis. Before final amplification of the Hi-C library, strands containing BrdU are specifically depleted by UV/Hoechst treatment. SisterC libraries are then sequenced using 50bp paired end reads, followed by mapping using standard Hi-C processing tools. Interactions can then be assigned as inter- or intra-sister interactions based on read orientation.


2013 ◽  
Vol 21 (8) ◽  
pp. 781-788 ◽  
Author(s):  
Marta Smyk ◽  
Przemyslaw Szafranski ◽  
Michał Startek ◽  
Anna Gambin ◽  
Paweł Stankiewicz

2019 ◽  
Author(s):  
Pavel P. Kuksa ◽  
Alexandre Amlie-Wolf ◽  
Yih-Chii Hwang ◽  
Otto Valladares ◽  
Brian D. Gregory ◽  
...  

AbstractMost 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, we developed HIPPIE2 which analyzes raw reads from high-throughput chromosome conformation (Hi-C) experiments to identify fine-scale physically-interacting regions (PIRs). Unlike standard genome binning approaches (e.g., 10K-1Mbp bins), HIPPIE2 dynamically calls physical locations of PIRs with better precision and higher resolution based on the pattern of restriction events and relative locations of interacting sites inferred from the sequencing readout.We applied HIPPIE2 to in situ Hi-C datasets across 6 human cell lines (GM12878, IMR90, K562, HMEC, HUVEC, NHEK) with matched ENCODE and Roadmap functional genomic data. HIPPIE2 detected 1,042,738 distinct PIRs across cell lines, with high resolution (average PIR length of 1,006bps) and high reproducibility (92.3% in GM12878 replicates). 32.8% of PIRs were shared among cell lines. PIRs are enriched for epigenetic marks (H3K27ac, H3K4me1) and open chromatin, suggesting active regulatory roles. HIPPIE2 identified 2.8M significant intrachromosomal 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 (31 in enhancers/29 in promoters), several of which are known to mediate DNA looping/long-distance regulation. 29 TFs were enriched in >1 cell line and 4 were cell line-specific. These findings demonstrate that the dynamic approach used in HIPPIE2 (https://bitbucket.com/wanglab-upenn/HIPPIE2) characterizes PIR–PIR interactions with high resolution and reproducibility.


Sign in / Sign up

Export Citation Format

Share Document