$$\rightleftharpoonup{xx}$$
$$\longleftharp{xx}$$,
$$\longrightharp{xx}$$,
Critical steps for cell handling
Although it is possible to use a lower number of input cells, this protocol has been optimized for ~5 × 106 cells per sequencing lane (~400 M reads) to ensure proper complexity after deep sequencing. Cells are best counted prior to fixation. For the generation of ultradeep libraries, we generally multiply the number of lanes (and cells) until the desired read-depth is reached. For optimal fixation, serum-containing medium should be replaced with PBS prior to FA fixation, and fixative solutions should be added immediately and without concentration gradients15,22. For cell harvesting, scraping is preferred over trypsinization, because the transition from a flatter to a spherical shape after trypsinization could affect the nuclear conformation. After the addition of DSG, loose and clumpy cell pellets are easily lost. Be careful when handling cells at this stage and add up to 0.05% BSA to decrease clumping.
Modifications to the method
This protocol was developed using human cells17. Yet, based on experience with chromosome conformation capture, this protocol should work for most eukaryotic cells. For a significantly lower input (~1 × 106 cells), we advise using half the volumes for the lysis and conformation capture procedures [steps 2.1-2.4]. This would also allow DNA isolation [step 2.5] to be performed in a tabletop centrifuge with 1.7 mL tubes, which could improve pelleting for low DNA concentrations. The quantification of DNA (step 2.6.6) will indicate how to proceed. For low amounts of isolated DNA (1-5 µg), we suggest skipping the size selection (step 3.3) and proceed with biotin removal after reducing the volume from 130 µL to ~45 µL with a CFU.
This protocol was developed specifically to ensure high-quality data after subsequent crosslinking with FA and DSG and digestion with DpnII and DdeI. However, alternative crosslinking strategies such as FA followed by EGS (ethylene glycol bis(succinimidyl succinate)), which is also used in ChIP-seq23 and ChIA-PET24, might work equally well17. Similarly, different enzyme combinations, such as DpnII and HinfI18 or MboI, MseI, and NlaIII19 can be used for digestion. When adapting enzyme combinations, be sure to use biotinylated nucleotides that can fill in the specific 5' overhangs and use the most optimal buffers for each cocktail. DpnII comes with its own buffer and the enzyme manufacturer recommends a specific buffer for DdeI digestion. Yet, for the double-digestion with DpnII and DdeI in this protocol, Restriction Buffer is recommended because it is rated at 100% activity for both enzymes.
Troubleshooting conformation capture
The three key steps in chromosome conformation capture: crosslinking, digestion, and religation have all been performed before the results can be visualized on gel. To determine the quality of each of these three steps and discern where problems could have arisen, aliquots before (CI) and after digestion (DC) are taken and loaded on the gel along with the ligated Hi-C sample (Figure 2). This gel is used to determine the quality of the Hi-C sample and whether it will be worth continuing the protocol. Without the CI and DC, it is difficult to pinpoint potential suboptimal step(s). It is worth noting that suboptimal ligation could be due to a problem in the ligation itself, the fill-in, or a problem with crosslinking. To troubleshoot crosslinking, be sure not to use more than 1 × 107 cells per library and start with fresh crosslinking reagents and clean cells (i.e., rinsed with PBS). For ligation, make sure cells and ligation mixture are kept on ice. Add T4 DNA ligase just before the 4 h incubation at 16 °C and mix well.
Troubleshooting library preparation
If more than 10 PCR cycles are needed or no PCR product can be seen on gel after PCR titration (Figure 4), there are a few options to save the Hi-C sample. Working back from the PCR titration, the first option is to try the PCR again. If there is still not enough product, it is possible to attempt another round of A-tailing and adapter ligation (step 3.6) after washing the beads twice with 1x TLE buffer. After this additional A-tailing and adapter ligation, one can proceed to the PCR titration as before. If there is still no product, the last option is to resonicate the 0.8x fraction from step 3.3 and proceed from there.
Limitations and advantages of Hi-C3.0
It is important to realize that Hi-C is a population-based method that captures the average frequency of interactions between pairs of loci in the cell population. Some computational analyses are designed to disentangle combinations of conformations from a population25, but in principle, Hi-C is blind to differences between cells. Although it is possible to perform single-cell Hi-C26,27 and computational inferences can be made28, single-cell Hi-C is not suitable for obtaining ultrahigh-resolution 3C information. An additional limitation of Hi-C is that it only detects pairwise interactions. To detect multicontact interactions, one can either use frequent cutters combined with short-read sequencing (Illumina)16 or perform multicontact 3C29 or 4C30, using long-read sequencing from PacBio or Oxford Nanopore platforms. Hi-C derivatives to specifically detect contacts between and along sister chromatids have also been developed31,32.
Although Hi-C19 and Micro-C33 can be used to generate contact maps at subkilobase resolutions, both require a large amount of sequencing reads and this can become a costly undertaking. To get to similar or even higher resolution without the costs, enrichment for specific genomic regions (capture-C34) or specific protein interactions (ChiA-PET35, PLAC-seq36, Hi-ChIP37) can be applied. The strength and downside of these enrichment applications is that only a limited number of interactions are sampled. With such enrichments, the global aspect of Hi-C (and the option of global normalization) is lost.
Importance and potential applications of Hi-C3.0
This protocol was designed to enable high-resolution, ultradeep 3C while simultaneously detecting large-scale folding features such as TADs and compartments17 (Figure 6). This protocol starts with 5 × 106 cells per tube for each Hi-C library, which should be more than enough material to sequence one or two lanes on a flow cell to obtain up to 1 billion paired-end reads. For ultradeep sequencing, multiple tubes of 5 × 106 cells should be prepared, depending on the number of mapped reads and PCR duplicates. At the highest resolution (<1 kb), looping interactions are mostly found between CTCF sites, but promoter-enhancer interactions can also be detected. Readers can refer to Akgol Oksuz et al.17 for a detailed description of the data analysis.