| Literature DB >> 35121852 |
Damien J Downes1, Alastair L Smith1,2, Magdalena A Karpinska3, Taras Velychko4, Kevin Rue-Albrecht2, David Sims2, Thomas A Milne1,5, James O J Davies1, A Marieke Oudelaar6, Jim R Hughes7,8.
Abstract
Chromosome conformation capture (3C) methods measure the spatial proximity between DNA elements in the cell nucleus. Many methods have been developed to sample 3C material, including the Capture-C family of protocols. Capture-C methods use oligonucleotides to enrich for interactions of interest from sequencing-ready 3C libraries. This approach is modular and has been adapted and optimized to work for sampling of disperse DNA elements (NuTi Capture-C), including from low cell inputs (LI Capture-C), as well as to generate Hi-C like maps for specific regions of interest (Tiled-C) and to interrogate multiway interactions (Tri-C). We present the design, experimental protocol and analysis pipeline for NuTi Capture-C in addition to the variations for generation of LI Capture-C, Tiled-C and Tri-C data. The entire procedure can be performed in 3 weeks and requires standard molecular biology skills and equipment, access to a next-generation sequencing platform, and basic bioinformatic skills. Implemented with other sequencing technologies, these methods can be used to identify regulatory interactions and to compare the structural organization of the genome in different cell types and genetic models.Entities:
Mesh:
Year: 2022 PMID: 35121852 PMCID: PMC7613269 DOI: 10.1038/s41596-021-00651-w
Source DB: PubMed Journal: Nat Protoc ISSN: 1750-2799 Impact factor: 17.021
Figure 1Capture-C is modular and adaptable for characterizing chromatin folding.
a, The Capture-C family of methods involves three distinct modules. In the first module a Nuclear 3C library is generated from 2% formaldehyde fixed cells that are lysed, then permeabilised with SDS, and digested with a frequent 4-base cutter (DpnII or NlaIII). Proximity ligation re-arranges the genome order to reflect spatial 3D organisation. Finally, for this module, centrifugation is used to separate DNA from ruptured nuclei from DNA in intact nuclei, which contains more informative 3C material. Library indexing in module 2 is performed using standard next-generation sequencing kits with sonication providing unique ends for PCR duplicate filtering. For Tri-C, gentler sonication is used to generate longer fragments which contain multiple ligation junctions. The third module is the most diverse, with a unique oligonucleotide design for each method. NuTi Capture-C uses a pair of oligonucleotides from the same strand of DNA that overlap restriction digestion sites of disperse fragments. For Tiled-C the same approach is used, however contiguous fragments are targeted and double stranded oligonucleotides have typically been used. In Tri-C a single oligonucleotide in the centre of a short restriction fragments enriches for sonication fragments with multiple ligation junctions. b, Schematic of results for a hypothetical locus, with one gene (red) and two enhancers (purple circles). NuTi Capture-C, or the low-cell variation LI Capture-C, from the promoter can be used to show direct interactions with both enhancers, Tiled-C produces a Hi-C like interaction map showing the three elements are in a TAD-like regulatory domain, and Tri-C shows that the two enhancers can be found simultaneously interacting with each other and the promoter at single alleles.
Figure 2Capture-C design considerations.
a, Plot of the number of viewpoints that can be sequenced at sufficient depth with the most common Illumina sequencing platforms. Calculations are performed for a NuTi Capture-C experiment with six multiplexed 3C libraries and two oligonucleotides per viewpoint. The range of the bar indicates the number of viewpoints that can be sequenced on the indicated Illumina platforms, with the lower number of viewpoints corresponding to ≥250,000 reads per viewpoint and the higher number of viewpoints to ~100,000 reads per viewpoint. Since capture oligonucleotides can be ordered in pools with a fixed price, a larger number of viewpoints corresponds to substantially reduced costs per oligonucleotide. b, When designing pools of oligonucleotides it is important to consider the composition. For many-versus-all approaches, including NuTi Capture-C, pairs of elements that may have interactions of interest (e.g. defining enhancer-promoter interactions) should not be captured simultaneously due to co-capture bias. Instead two pools, targeting only promoters and only enhancers should be used in two separate hybridisation reactions. For contiguous many-versus-many approaches, such as Tiled-C, low-resolution Hi-C can be used to guide selection of the area of interest and ensure domain context (e.g. boundaries and flanking domains) is included.
3C digestion efficiency qPCR primers.
| Assay Set | Sequence | Site | ||
|---|---|---|---|---|
| Hs 1 forward | 5’-GTCAGAAATAACAGGAAACCCAAA-3’ | chr22:46,257,116-46,257,137 | Cut-site | Cut-site |
| Hs 1 reverse | 5’-TTACTTGTCGAACCCAGAAGAC-3’ | chr22:46,257,190-46,257,212 | ||
| Hs 2 forward | 5’-GAGAATGGCCACATACAAGTAGA-3’ | chr22:46,257,407-46,257,429 | Fragment | Fragment |
| Hs 2 reverse | 5’-GGAGTTGTCAACACAAGCATATC-3’ | chr22:46,257,480-46,257,502 | ||
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| Mm 1 forward | 5’-GGAGAAAGAAGGCTGGTGTTAT-3’ | chr15:85,650,603-85,650,624 | Cut-site | Fragment |
| Mm 1 reverse | 5’-TATCTGAGTTGGACAGCATTGG-3’ | chr15:85,650,686-85,650,707 | ||
| Mm 2 forward | 5’-TTATCTTGCATTTGCCAACTCG-3’ | chr15:85,650,801-85,650,822 | Fragment | Cut-site |
| Mm 2 reverse | 5’-TGGGTTTCCCTGATTCTGAAA-3’ | chr15:85,650,880-85,650,900 | ||
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| Dm 1 forward | 5’-CAGGCCAACACACATTGTATC-3’ | chr3R:23,023,063-23,023,083 | Cut-site | NA |
| Dm 1 reverse | 5’-CGGCAGGCAAATCGAATAAA-3’ | chr3R:23,023,146-23,023,165 | ||
| Dm 2 forward | 5’-TGTTAGTCCCTGCCTCTGTA-3’ | chr3R:23,023,278-23,023,297 | Fragment | |
| Dm 2 reverse | 5’-AAGTAACAGCAGCTGGAATAGG-3’ | chr3R:23,023,358-23,023,379 | ||
Figure 3Quality Control of 3C libraries.
a, Qualitative assessment of undigested input material (Control 1, C1), digested, un-ligated DNA (Control 2, C2) and 3C libraries is performed by electrophoresis in a 1% agarose gel (i) or TapesSation Genomic DNA ScreenTape (ii). Examples show a high quality 3C library (green tick) run with a 1 kb DNA ladder (L), moderate quality libraries that can be acceptable for Capture-C (orange ticks), and poor-quality libraries that should not be used (crosses). Note the low proportion of high molecular weight DNA remaining in C2 of the Partial Digestion example (red arrow). Only the 3C library is shown on the TapeStation analysis, note the second band is the Lower Marker (LM) b, Tapestation profiles of DNA following sonication, adaptor ligation and PCR amplification provide qualitative assessment of indexing and are used to ensure reactions proceed as expected. c, Quantitative assessment of 3C library digestion is performed with real-time PCR using primers that amplify across a restriction digestion site (cut-site, red lines) or within a restriction enzyme fragment (blue lines). Both primer pairs should amplify to the same extent in undigested Control 1 (solid lines), and the difference in amplification in the digested Control 2 (hashed lines) is used to calculate digestion efficiency.
Figure 4Adaptations for High-specificity Sequencing.
Systematic optimization has determined the effect of repeated rounds of oligonucleotide pull-down (Single and Double capture) as well as probe concentration (Titrated capture) on the percentage of reads containing target fragments in mammalian genomes (shown in green).
Example calculations of digestion efficiency.
| Sample[ | Assay Set | Avg. CT | ΛCT (Cut-site − Fragment) | ΔΔCT (C1 − C2) | Digestion Efficiency[ |
|---|---|---|---|---|---|
|
| Fragment | 21.211 | -0.168 | -2.706 | 84.76% |
| Cut-site | 21.043 | ||||
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| Fragment | 20.884 | 2.538 | ||
| Cut-site | 23.422 |
For low-input samples genomic DNA can be used instead of Control 1, and the 3C library in place of Control 2. Due to re-ligation a lower digestion efficiency is expected.
Efficiency = 100 x (1-2ΔΔCT).
Figure 5Anticipated results.
a, NuTi Capture-C profiles exported from the UCSC Browser hub for MYC (i) and SLC25A37 (ii) in Erythroid cells and H1 Human embryonic stem cells (hESCs), with a comparison subtraction track[10]. The MYC promoter shows tissue-specific interactions over a 3 Mb scale (chr8:126,675,000-130,130,000, hg38). The SLC25A37 profiles were generated from replicates of three high-quality 3C libraries with only 3,000 cis-reporters each. They still show an easily interpretable 3C interaction plot with erythroid specific interactions (chr8:23,400,000-23,650,000, hg38). b, Mapping and filtering statistics with counts of read pairs following FLAShing and in silico digestion. Reads that didn’t FLASh are treated as paired end (PE). c, Counts of unique reporters for capture from a hESC separated into cis and trans mapping reads.
| Reagent | Stock Conc. | Volume | Work Conc. |
|---|---|---|---|
| PCR Grade Water | - | 48.4 mL | - |
| Tris pH8 | 1 M | 500 μL | 10 mM |
| NaCl | 4 M | 125 μL | 10 mM |
| Igepal CA-630 | 10% vol/vol | 1 mL | 0.2% vol/vol |
| cOmplete Protease Inhibitor Cocktail | - | 1 tablet | 1× |
| Parameter | Setting |
|---|---|
| Duplicates | ≤ 2 |
| Blat Density | ≤ 40 |
| G/C Content (%) | ≤ 60 |
| Repeats | False |
Often interactions at duplicated genes, e.g. HBA1, HBA2, can still be understood.
| Reagent | Digest | Control 1 |
|---|---|---|
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| Nuclei in 1× | 200 μL | 15 μL |
| PCR-grade water | 434 μL | 227.5 μL |
| 10× | 60 μL | 28.5 μL |
| 20% vol/vol SDS (0.28% final conc.) | 10 μL | 4 μL |
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| Nuclei in 1× CutSmart® buffer | 200 μL | 15 μL |
| PCR-grade water | 393.5 μL | 227.5 μL |
| 10× CutSmart® buffer | 60 μL | 28.5 μL |
| 20% vol/vol SDS (0.28% final conc.) | 9.5 μL | 4 μL |
| 2× KAPA SYBR | 10 μL |
| ROX | 0.4 μL |
| Primer mix (10 μM each) | 0.6 μL |
| Water | 7 μL |
| DNA (10 ng/μL) | 2 μL |
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| 95°C | 20 s |
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| 95°C | 3 s |
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| 60°C | 30 s |
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| S220 | M220 | ||
|---|---|---|---|
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| 10 % |
| 20 % |
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| 5 |
| 70 |
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| 200 |
| 1,000 |
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| 360 sec |
| 14.0 |
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| Freq. Sweeping |
| 130 sec |
| Adaptor Ligated library | 28.5 μL |
| NEB Universal primer | 5 μL |
| NEB Index primer | 5 μL |
| Herculase II 5× buffer | 10 μL |
| dNTP | 0.5 μL |
| Herculase II polymerase | 1 μL |
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| 98°C | 30 s |
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| 98°C | 10 s |
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| 65°C | 30 s |
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| 72°C | 30 s |
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| 72°C | 5 min |
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| 4°C | Hold |
| Buffer | Buffer volume | Water volume |
|---|---|---|
| 2.5× Bead Wash buffer | 600 μL | 900 μL |
| 10× Stringent Wash buffer | 120 μL | 1,080 μL |
| 10× Wash buffer I | 93 μL | 837 μL |
| 10× Wash buffer II | 60 μL | 540 μL798 |
| 10× Wash buffer III | 60 μL | 540 μL799 |
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| 98°C | 45 s |
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| 98°C | 15 s |
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| 60°C | 30 s |
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| 72°C | 30 s |
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| 72°C | 60 s |
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| 4°C | Hold |
| Buffer | Buffer volume | Water volume |
|---|---|---|
| 2.5× Bead Wash buffer | 100 μL | 150 μL |
| 10× Stringent Wash buffer | 20 μL | 180 μL |
| 10× Wash buffer I | 16 μL | 144 μL |
| 10× Wash buffer II | 10 μL | 90 μL |
| 10× Wash buffer III | 10 μL | 90 μL |
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| 98°C | 45 s |
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| 98°C | 15 s |
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| 60°C | 30 s |
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| 72°C | 30 s |
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| 72°C | 60 s |
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| 4°C | Hold |
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Troubleshooting table.
| Step | Problem | Cause | Solution |
|---|---|---|---|
| Reagent Setup | Excess Lysis buffer | Small number of samples. | To make smaller volumes of lysis buffer, one cOmplete Protease Inhibitor Cocktail tablet can be dissolved in 2 mL of PCR grade water to generate a 25× stock. This can be aliquoted and stored at - 20°C for several months. |
| 9 | Fewer than 5 x 106 cells | Working with a rare cell population or limited number of cells following cell sort. | For fixation, PBS wash and lysis the volumes can be scaled down to accommodate fewer cells (down to 2 x 10[ |
| More than 5 x 106 cells | Working with a cell line | For fixation, PBS wash and lysis the volumes can be scaled up to accommodate more cells. Maintain cells at ~1 x 106 cells per 1 mL of growth media. For greater numbers of cells, perform multiple, parallel digestions and combine material in 300 μL of TE buffer after nuclear isolation. | |
| 37 | Phenol use is not desireable or prohibited | Phenol is a dangerous chemical | Use of column extraction is possible and is considerably faster, e.g. Qiagen DNeasy Mini kit can used from the point where nuclei are pelleted, step 32. However, also pellet Control 1 and Control 2, then increase Proteinase K treatment to 4 hours at 65°C, and elute the DNA from the columns using the volumes outlined at step 45, before preceding to Quality Control. |
| 46 | DNA not visible in agarose gel | Low amount of DNA because of low-cell contraints | Run 1 μL of each sample on a Genomic DNA ScreenTape. |
| 47 | Low DNA yield | Loss of nuclear pellet | The nuclear pellet can be hard to see and may accidentally be disturbed. If suffering low DNA yields, retain the supernatant and perform Phenolchloroform isoamyl alcohol DNA extraction. A good Nuclear 3C library should have >90% of DNA within the nuclear pellet. The combined DNA from the nuclear pellet and the supernatant is equivalent to an |
| Incomplete de-crosslinking | Perform decrosslinking overnight | ||
| Incomplete precipitation | Freezing at -80°C overnight may be beneficial for DNA yield, particularly for low-input samples. | ||
| 48 | No control DNA | Working with low cell numbers | For low-input samples (≤150,000 cells), where very little DNA is available for controls, digestion efficiency can be directly calculated from re-ligated 3C libraries against a genomic DNA input control. Note that due to re-ligation into the original fragment configuration, lower values for digestion will be observed than for a true digestion control. |
| 49 | Low digestion efficiency | Short digestion period or sub-optimal enzyme activity | The total digest time should be 20-24 hours. Additional restriction enzyme can be added at each optimal enzyme activity of the three timepoints (steps 21-23) for cells generating low digestion efficiency. |
| Non-exponential amplifiction | Reaction conditions for primers not optimized to thermocycler | Perform a dilution series analysis wigh genomic DNA and include a melt curve to ensure no primer dimers are being produced. | |
| 61 | DNA not at correct size | Sonicator settings not optimized | Each sonicator may vary and should be set accordingly. Settings for sonication should be first determined by testing with high molecular weight genomic DNA rather than wasting 3C library. It is important to take into account the mass of DNA being sheared. |
| 77 | Vacuum centrifuge is not available | Specific equitment may not available | DNA may be purified by AMPure XP SPRI bead clean-up (e.g. steps 53-59) with elution into 40.2 μL of Universal Enhancing Oligonucleotides (6.7 μL per library). |
| 86 | Beads stick to plastic | High affinity of streptavidin beads for plastic tubes | Streptavidin dynabeads tend to stick to plastics. We find this effect is minimised by using high-quality, non-sticky tubes, from Sorenson BioScience (39640T). |
| 116 | Loss of DNA after capture | Failed PCR reaction, user error during DNA bead clean-up. | Captured material is amplified off the beads in two batches. Although these reactions can be performed simultaneously, it is prudent to do each individually to protect against error or misfortune and to ensure adequate amplification has occurred. |
| Low DNA yield post capture | Incomplete hybridization | A longer hybridization time of 68-72 h may increase capture yield. | |
| 138 | Beads stick to plastic | High affinity of streptavidin beads for plastic tubes | Streptavidin beads tend to stick to plastics. We find this effect is minimised by using high-quality, non-sticky tubes, from Sorenson BioScience (39640T). |
| 159 | Loss of DNA after capture | Failed PCR reaction, user error during DNA bead clean-up | Captured material is amplified off the beads in four PCR reactions (two per hybridisation reaction). Here, these reactions are performed simultaneously, though it is possible to do these in two batches to protect against error or misfortune and to determine if adequate amplification has occurred. |
| 172 | Tiled-C matrix not generated | Using coodinates for a single viewpoint not a region | Change the bed file coordinates to match the Tiled-C targeted region including the start of the first targeted fragment and the end of the and last targeted fragment. |
| Interaction matrix not generated | Using Capture-C configuration settings | Set analysis method in config.xml to either “tiled” for Tiled-C or “tri” for Tri-C. |