Abstract
R-loops, structures that play a crucial role in various biological processes, are integral to gene expression, the maintenance of genome stability, and the formation of epigenomic signatures. When these R-loops are deregulated, they can contribute to the development of serious health conditions, including cancer and neurodegenerative diseases. The detection of R-loops is a complex process that involves several approaches. These include S9.6 antibody- or RNAse H-based immunoprecipitation, non-denaturing bisulfite footprinting, gel electrophoresis, and electron microscopy. Each of these methods offers unique insights into the nature and behavior of R-loops. In our study, we introduce a novel protocol that has been developed based on a single-molecule DNA combing assay. This innovative approach allows for the direct and simultaneous visualization of RNA:DNA hybrids and replication forks, providing a more comprehensive understanding of these structures. Our findings confirm the transcriptional origin of the hybrids, adding to the body of knowledge about their formation. Furthermore, we demonstrate that these hybrids have an inhibitory effect on the progression of replication forks, highlighting their potential impact on DNA replication and cellular function.
Keywords: R-loops, DNA combing, assay development
1. Introduction
Transcription and replication are fundamental processes that occur on the same DNA template, typically separated both temporally and spatially. However, this dichotomization is not always feasible, particularly for S phase-specific genes that must be expressed concurrently with active replication [1]. Additionally, the transcription of long genes can extend beyond the G1 phase, continuing through the S-phase or even spanning the entire cell cycle. Transcription impedes replication progression through direct collisions, torsional stress, or the formation of RNA:DNA hybrids known as R-loops. These R-loops, formed by the hybridization of nascent RNA with the template DNA, leave single-stranded non-template DNA exposed [1].
The physiological functions of R-loops include the regulation of transcription and class-switch recombination [1,2,3,4]. R-loops have been associated with repeat expansion disorders such as Fragile X, Huntington’s, and myotonic dystrophy [5,6]. Mutations in R-loop processing factors and increased R-loop levels have been identified in diseases, e.g., Aicardi–Goutières syndrome (mutations in TREX1 or RNAse H2) [7], as well as ataxia with oculomotor apraxia type 2 and in myotrophic lateral sclerosis ALS4 (mutations in Senataxin) [3]. Deregulated transcription, epigenetic changes, and splicing perturbations can cause increased R-loops, resulting in elevated replication stress, transcription-replication conflicts, double-stranded DNA breaks, and genome instability [8] which are hallmarks of ageing and various diseases, including cancer and neurodegeneration [4,7,9]. In addition to proteins specialized to unwind R-loops, such as RNAse H1/2 and SETX, multiple tumor suppressor genes have been shown to prevent R-loop accumulation. Such proteins are P53, BRCA1, BRCA2, BLM, WRN, FANCD2, FANCM, SMARCAL1, ZRANB3 [9,10,11,12,13,14,15,16,17]. The abundance of tumor suppressors involved in R-loop regulation demonstrates the profound importance of R-loop level management for genome integrity and cellular fitness.
Given the emerging role of R-loops in human disease, there is a critical need for methods to quantify and visualize them in the context of ongoing DNA replication. Traditional studies have relied on population-level correlations between R-loop levels and markers of replication stress. Recently, electron microscopy (EM) has enabled the direct visualization of R-loops and replication forks at the single-molecule level [18]. However, EM techniques have limitations, including restricted detection distances and the potential for small hybrids to escape detection.
In this study, we present a novel protocol for the direct and simultaneous visualization of RNA:DNA hybrids and replication forks using a DNA combing assay. This method offers several advantages: it is technically accessible to the broader scientific community, differentiates replication phenotypes at single DNA fiber resolution, and provides relatively high throughput. Moreover, it overcomes the inherent limitations of EM, allowing for a more comprehensive analysis of R-loop formation in the context of replication.
2. Materials and Methods
The reagents (Table 1) and equipment (Table 2) used in this protocol are listed below.
Table 1.
REAGENT | SOURCE | IDENTIFIER | COMMENT |
---|---|---|---|
Antibodies | |||
S9.6 | Kerafast (USA) | ENH002 | Lot 202301 |
S9.6 | ActiveMotif (Belgium) | 65683 | Lot 35021002 |
Goat anti-mouse Alexa Fluor 647 | Thermo Fisher Scientific (USA) | A-21236 | |
Mouse anti-BrdU antibody | BD Biosciences (USA) | 347580 | Stains IdU |
Rat anti-BrdU antibody | Abcam (UK) | Ab6326 | Stains CldU |
Anti-mouse Cy3 | Rockland (USA) | 610-404-040 | |
Anti-rat BV480 | BD Biosciences | 564878 | |
Mouse anti-ssDNA | Developmental Studies Hybridoma Bank (USA) | Anti-ssDNA | Lot 5/11/17–37 ug/mL |
Anti-mouse Alexa Fluor 488 | Thermo Fisher Scientific | A-11001 | |
Chemicals and other reagents | |||
CldU | Sigma (USA) | C6891-100MG | Lot MKCJ7518 |
IdU | Sigma | I7125-25G | Lot BCBP3111V |
BSA | Sigma | A9647 | |
BlockAid | Thermo Fisher Scientific | B10710 | |
Triton-X100 | Sigma | 9002-93-1 | |
Tween-20 | Sigma | P1379 | |
RNAse A | Thermo Fisher Scientific | 12091021 | |
RNAse H | New England Biolabs (USA) | M0297L | |
4% Paraformaldehyde solution in PBS | Thermo Fisher Scientific | J19943.K2 | |
NaOH | Thermo Fisher Scientific | S318 | |
Ethyl alcohol | Thermo Fisher Scientific | BP28184 | |
ProlongGold | Thermo Fisher Scientific | P10144 |
Table 2.
EQUIPMENT | SOURCE | IDENTIFIER | COMMENT |
---|---|---|---|
Combing coverslips | Genomic Vision (France) | COV-002-RUO | |
FiberComb machine | Genomic Vision | ADMCS | |
FiberPrep DNA Extraction Kit | Genomic Vision | EXTR-001 | |
Coverslip rack | Sigma | Z688568 | |
Opera Phenix | Perkin Elmer (USA) | NA | |
Oven | NA | 60 °C |
2.1. Step-by-STEP PROTOCOL
Timing from cell labeling to combing staining: 5 days.
2.1.1. Cell Labelling
Timing: 1.5 h
Note: This protocol is based on using adherent cell culture. It can be modified for suspension cells.
Note: The length of nucleotide analogue incorporation can vary depending on the cell type. It is typically 20–30 min each.
Note: Plate cells for experiments 24–48 h before labelling. Cells should be less than 70% confluent and exponentially growing on the day of the experiment.
Note: Before starting, equilibrate the medium in a cell culture incubator (37 °C and 5% CO2)
-
1.
Add CldU to the growing cells at a final concentration of 25 µM (25 mM stock in DMSO). Mix gently and place back in an incubator for 25 min.
-
2.
Remove the cell medium and quickly rinse once with fresh pre-equilibrated medium. Remove the rinse medium.
-
3.
Add fresh pre-equilibrated medium containing 100 µM IdU (25 mM stock in DMSO). Incubate for 25 min. [Note: the concentration and order of the nucleotide analogues incubations can vary depending on purpose, cell type, and staining quality.]
-
4.
Remove IdU-containing medium.
-
5.
Add ice-cold PBS to cells.
-
6.
Remove PBS and dissociate cells using Trypsin, TriplE, or another appropriate dissociation method. Plates can be placed back in an incubator for 2–3 min to facilitate detachment from the plastic.
-
7.
Harvest cells in cold PBS and keep cell suspensions on ice. [Note: if handling multiple samples, cells can be left on ice at this stage for up to 20 min until all samples are harvested.]
-
8.
Determine cell concentration using cell counter.
2.1.2. Preparing DNA in an Agarose Plug
Timing: 1 h + overnight
Note: use 25,000–50,000 cells per plug. e.g., if you need 4 plugs of 25,000 cells each, transfer suspension containing 100,000 cells
Note: This protocol closely follows the manual of Genomic Vision FiberPrep® DNA extraction kit.
-
9.
Transfer enough cells for the desired number of plugs to a new 1.5-mL tube and spin them down in a tabletop centrifuge. Remove the supernatant.
-
10.
Resuspend the cell pellet in 40 µL/plug buffer 1 (e.g., for 4 plugs, use 160 µL buffer 1) and leave suspension at room temperature.
-
11.
Add 50 μL of melted buffer 2 (e.g., for 4 plugs, use 200 µL buffer 2; Melt at 68 °C for 10 min and keep it melted at 50 °C).
-
12.
Mix well by pipetting and immediately fill 90 µL/plug into disposable mould.
-
13.
Leave it to solidify at 4 °C for 15 min.
-
14.
Prepare mix of buffer 3 and component 3 in ratio 9:1. Use 250 µL mix per plug. [Note: Use a 2-mL tube for up to 4 plugs. Use 5- or 15-mL tube or more plugs.]
-
15.
Incubate at 50 °C overnight with gentle shaking.
-
16.
Wash the plugs in 15 mL 1× buffer 4: 3 times 1 h with rotation. [Note: spare plugs can be stored in buffer 5 (1 mL/plug) at 4 °C, protected from light for up to 1 year.]
2.1.3. Preparing DNA Solution for Molecular Combing
Timing: 1–3 days
Note: Before starting, set up two thermo blocks or water baths to 68 °C and 42 °C. If the plug is stored in buffer 5, wash it in 15 mL 1X buffer 4 for a couple of hours.
-
17.
Transfer one plug to a 2-mL tube.
-
18.
Add 1 mL buffer 7 and incubate at 68 °C for 20 min. [Note: From this point, DNA is in solution. Handle with extreme care to avoid mechanical shearing!]
-
19.
Carefully transfer the tube at 42 °C and let equilibrate for 5 min
-
20.
Add 1.5 µL of component 7 (β-agarase). Do not mix.
-
21.
Incubate overnight at 42 °C.
-
22.
Add 1200 µL buffer 7 in a disposable reservoir.
-
23.
Gently pour the DNA solution into the reservoir. [Note: We recommend leaving the solution at 4 °C for at least 24 h before combing.]
2.1.4. Molecular Combing
Timing: 1.5–2 h
Use Genomic Vision FiberComb device and combing coverslips (silanized coverslips)
-
24.
Place the DNA reservoir, equilibrated to room temperature, in the combing device.
-
25.
Attach one or 2 coverslips on the holders.
-
26.
Push the button, the slide goes in the solution, and after 5 min it is pulled out of the solution at a constant speed of 300 µm/s.
-
27.
Remove coverslips and place them on a staining rack.
-
28.
Bake in an oven at 60 °C for 40–60 min.
-
29.
Slides can either be processed for immunodetection or stored at −20 °C.
Note: One additional coverslip per condition should be prepared for combing quality check: Immerse these in 100 nM YOYO dye in PBS for 5 min, rinse with water, air-dry, mount the coverslips on microscopy slides and image. Long intact and high density (but not overlapping) DNA strands indicate good quality genomic DNA prep and successful combing.
2.1.5. Immuno-Staining
Timing: 1.5 days
Note: all antibody incubations and the RNAse A treatment are performed by flipping the coverslip over a drop (20–50 µL/coverslip) of solution on a glass slide. We recommend cleaning the glass slides with 70% ethanol to increase surface tension and avoid overspreading of the drops. All washing, blocking, fixation, denaturation, and dehydration steps are performed on a staining rack in a beaker.
Note: ‘Blocking buffer’: 1% BSA + 0.1% Tween-20 in PBS.
-
30.
Wash once in dH2O (staining rack, fast wash).
-
31.
Wash once in PBS (staining rack, fast wash).
-
32.
Immerse in 1% Triton-PBS for 5 min at room temperature (RT).
-
33.
Wash twice in PBS (staining rack, fast wash).
-
34.
Treat with RNAse A for 1 h at 37 °C on glass slides in a humidity chamber: 170 mM NaCl, 0.1 mg/mL RNAse A, blocking buffer [Note: PBS in the blocking buffer contains 137 mM NaCl, adding to a total of about 300 mM NaCl to avoid degrading R-loops by RNAse A [19]].
-
35.
Place coverslips on a staining rack and rinse with PBS.
-
36.
Transfer the rack with coverslips in blocking buffer for 1 h at RT.
-
37.
Primary S9.6 antibody staining: Add 40 μL/slide 1:500 dilution of mouse anti-S9.6 antibody in blocking buffer. Incubate in humidity chamber overnight at 4 °C, coverslip flipped on a microscopy glass slide.
CRITICAL: The success of the R-loop staining depends strongly on the quality of the S9.6 antibody. We recommend testing different S9.6 samples in parallel to identify a working batch by following the protocol down to step 47 and staining dsDNA with YOYO. The appearance of the characteristic clusters of R-loop dots on DNA (Figure S1C) indicates an S9.6 sample that can be used for staining. See also Section 4 for further details and confirmed antibody batches.
-
38.
Leave slides in cold PBS for 5 min.
-
39.
Wash with blocking buffer for 15 min.
-
40.
Wash 2 min in PBS.
-
41.
Fix with 4% Formaldehyde for 10 min RT.
-
42.
Wash with PBS for 2 min.
-
43.
Wash with blocking buffer for 5 min.
-
44.
Secondary antibody staining: Add 50 μL 1:250 anti-mouse AF-647 in blocking buffer. Incubate for 1.5 h at RT.
-
45.
Wash 5 min in PBS.
-
46.
Wash 10 min in blocking buffer at RT, shake gently.
-
47.
Rinse briefly in PBS.
Note: At this point, the quality of S9.6 staining can be tested: immerse the coverslips in 100 nM YOYO dye in PBS for 5 min, rinse with water, air-dry, mount the coverslips on microscopy slides and image them.
-
48.
Fix with 4% Formaldehyde in PBS for 10 min RT.
-
49.
Wash once briefly in PBS.
-
50.
Wash once with blocking buffer for 5 min at RT.
-
51.
Wash for 2 min in PBS.
-
52.
Denature combed DNA with 0.5M NaOH/1M NaCl for 30 min at RT.
Note: As NaOH degrades RNA, covalent cross-linking of the antibodies to the binding regions in steps 41 and 48 creates a replica of the hybrids that can persist after denaturation.
-
53.
Wash in PBS for 5 min.
-
54.
Dehydrate by immersing the racks with coverslips in a sequence of 70–90–100% ethanol, 30–60 s in each, and air-dry.
-
55.
Block slides with blocking buffer, 15–30 min at RT.
-
56.
Incubate with replication fork primary antibodies for 1 h at RT:
Note: Fork staining is performed in BlockAid, 40 μL/coverslip (if necessary, the staining volume can be reduced to 20 μL). Spin antibodies at maximal speed in a tabletop centrifuge for 2 min before use to avoid aggregates.
For 1 coverslip:
3.2 μL mouse anti-IdU
1.6 µL rat anti-CldU
35.2 µL Block Aid
-
57.
Place coverslips on a staining rack. Wash for 5 min with blocking buffer.
-
58.
Incubate with secondary antibodies for 50–60 min at RT:
For 1 coverslip:
0.8 µL anti-mouse Cy3 (1:50)
0.8 µL anti-rat BV480 (1:50)
38.6 µL Block Aid
-
59.
Place coverslips on staining rack and wash 5 min with blocking buffer.
-
60.
Incubate with single-stranded DNA primary antibody for 1 h at RT:
For 1 coverslip:
2 µL mouse anti-ssDNA (1:40)
38 µL Block Aid
-
61.
Place coverslips on staining rack and wash for 5 min with blocking buffer.
-
62.
Incubate with secondary antibody for 45–60 min at RT:
For 1 coverslip:
0.8 µL anti-mouse AF-488 (1:50)
39.2 µL Block Aid
-
63.
Place coverslips on staining rack and wash 15 min with blocking buffer, gentle shaking.
-
64.
Wash coverslips in PBS for 5 min.
-
65.
Dehydrate coverslips in 70%, 90% and 100% EtOH, 30–60 s each, air-dry.
-
66.
Mount with 10 μL ProlongGold and cure overnight at RT in the dark.
2.1.6. Imaging
The slides were scanned on Opera Phenix or Operetta CLS high-content imaging systems (Revvity, UK, formerly Perkin Elmer Ltd.). The Opera scans were used for analysis.
The images were acquired with the 40× N.A. 1.1 water immersion objective using the non-confocal scanning mode. Binning was set at 1, giving a resolution of 0.33 mm/pixel and a field size of 500 × 500 pixels.
The channels and filters used were:
Cyan (CldU): Opera: ex 425 nm, em 435–480 nm; Operetta: ex 435–460 nm, em 473–491 nm.
Alexa 488 (DNA): Opera: ex 488 nm, em 500–550 nm; Operetta: ex 460–490 nm, em 500–550 nm.
Cy3 (IdU): Opera: ex 561 nm, em 570–630 nm; Operetta: narrow band ex 530–560 nm, em 570–620 nm.
Alexa 647 (S9.6): Opera: ex 640 nm, em 650–760 nm; Operetta: ex 615–645 nm, em 655–760 nm.
Channels were imaged sequentially in Z-stacks with a step of 0.5 μm.
2.1.7. Quantitation and Statistical Analysis
Image analysis was performed using Harmony 5.1 high content analysis software (Revvity, UK). Three planes were selected consisting of the sharpest focal plane and one either side, and a maximum projection image was created. Hybrid and DNA quantitation and analysis were performed using the following novel analysis protocol.
Note: The parts of the analysis pipeline highlighted in grey refer to an alternative way of hybrid spot detection that uses absolute intensity threshold to define hybrids. This could be useful in cases of e.g., higher staining background. Otherwise, these steps can be skipped. The quantitation in this study was performed using the Find Spots function.
Input Image | Input | ||
Channel group: 1 Sequences: ALL Flatfield Correction: Basic Brightfield Correction Stack Processing: Maximum Projection |
|||
Find Texture Regions | Input | Method | Output |
Channel: Alexa 488 ROI: None |
Method: Split into Classes Number of Classes: 2 Texture Scale: 1 px Region Scale: 1 px Training Region Radius: 2 px Include Intensity Information |
Output Population A: DNA Output Population B: Background (Figure S2) |
|
Calculate Morphology Properties | Input | Method | Output |
Population: DNA Region: Region |
Method: Standard Area | Property Prefix: Region | |
Calculate Morphology Properties (2) | Input | Method | Output |
Population: Background Region: Region |
Method: Standard Area | Property Prefix: Region | |
Calculate Intensity Properties | Input | Method | Output |
Channel: Alexa 488 Population: DNA Region: Region |
Method: Standard Mean Standard Deviation Sum |
Property Prefix: Intensity Region Alexa 488 |
|
Calculate Intensity Properties (2) | Input | Method | Output |
Channel: Alexa 647 Population: DNA Region: Region |
Method: Standard Mean Standard Deviation Sum |
Property Prefix: Intensity Region Alexa 647 |
|
Calculate Intensity Properties (3) | Input | Method | Output |
Channel: Alexa 647 Population: Background Region: Region |
Method: Standard Mean Sum |
Property Prefix: Intensity Region Alexa 647 |
|
Filter Image | Input | Method | Output |
Channel: Alexa 647 | Method: Sliding Parabola Curvature: 20 |
Output Image: Sliding Parabola 647 | |
Find Image Region | Input | Method | Output |
Channel: Sliding Parabola 647 ROI: DNA ROI Regin: Region |
Method: Absolute Threshold Lowest Intensity: ≥250 Highest Intensity: ≤inf Split into Objects Area: >5 px2 |
Output population: Red/DNA Region Absolute threshold Output Region: Image Region |
|
Find Image Region (2) | Input | Method | Output |
Channel: Sliding Parabola 647 ROI: Background ROI Regin: Region |
Method: Absolute Threshold Lowest Intensity: ≥250 Highest Intensity: ≤inf Split into Objects Area: >5 px2 |
Output population: Red/Background Region Absolute threshold Output Region: Image Region |
|
Find Spots | Input | Method | Output |
Channel: Alexa 647 ROI: DNA ROI Region: Region |
Method: A Relative Spot Intensity: >0.07 Splitting Sensitivity: 1 Calculate Spot Properties |
Output Population: Red spots in DNA region | |
Find Spots (2) | Input | Method | Output |
Channel: Alexa 647 ROI: Background ROI Region: Region |
Method: A Relative Spot Intensity: >0.07 Splitting Sensitivity: 1 Calculate Spot Properties |
Output Population: Red spots in Background | |
Define results | Results | ||
Method: List of Outputs Population: Red/DNA region Ab thresh Number of Objects |
|||
Population: Red/Background Region Ab thresh Number of Objects | |||
Population: DNA Number of Objects Region Area [μm2]: Sum Intensity Region Alexa 488 Mean: Sum Intensity Region Alexa 488 Sum: Sum Intensity Region Alexa 647 Mean: Sum Intensity Region Alexa 647 Sum: Sum Number of Spots: Sum Number of Spots per Area of Region: Sum | |||
Population: Red spots in DNA region Number of Objects Apply to All: None | |||
Population: Background Region Area [μm2]: Sum Intensity Region Alexa 647 Mean: Sum Intensity Region Alexa 647 Sum: Sum Number of Spots: Sum Number of Spots per Area of Region: Sum | |||
Population: Red spots in background Number of Objects | |||
Method: Formula Output Formula: a/b Population Type: Objects Variable a: DNA—Intensity Region Alexa 488 Sum Sum Variable b: DNA—Region Area [μm2] Sum Output Name: DNA 488 sum/area | |||
Method: Formula Output Formula: a/b Population Type: Objects Variable a: Background—Intensity Region Alexa 647 Sum Sum Variable b: Background—Region Area [μm2] Sum Output Name: Background: Red sum/Background area | |||
Method: Formula Output Formula: a/b Population Type: Objects Variable a: DNA—Intensity Region Alexa 647 Sum Sum Variable b: DNA—Region Area [μm2] Sum Output Name: DNA: Red sum/DNA area | |||
Method: Formula Output Formula: a/b Population Type: Objects Variable a: DNA—Number of Spots Sum Variable b: DNA—Region Area [μm2] Sum Output Name: DNA: Red Spots/DNA area | |||
Method: Formula Output Formula: a/b Population Type: Objects Variable a: Red spots in background—Number of Objects Variable b: Background—Region Area [μm2] Sum Output Name: Background: Red Spots/Background area | |||
Method: Formula Output Formula: a/b Population Type: Objects Variable a: Red/DNA region Absolute threshold—Number of Objects Variable b: DNA—Region Area [μm2] Sum Output Name: Bright Red Spots/DNA area | |||
Method: Formula Output Formula: a/b Population Type: Objects Variable a: Red/Background Region Absolute threshold—Number of Objects Variable b: Background—Region Area [μm2] Sum Output Name: Bright Red Spots/Background area | |||
Object Results Population: Red/DNA region Ab thresh: None Population: Red/Background Region Ab thresh: None Population: DNA: ALL Population: Red spots in DNA region: None Population: Background: None Population: Red spots in background: None |
3. Results and Discussion
3.1. RNA:DNA Hybrids and Replication Forks Occur Independently of Each Other
The RNA:DNA hybrid signal and replication forks occur mostly independently of each other, indicating that the hybrids are not of Okazaki primer origin. In most cases, the replication forks are free of hybrids and, conversely, most hybrid staining occurs on DNA regions free from replication forks. Sometimes, the two signals overlap in agreement with co-occurrence and dynamic interactions between the transcription and replication machineries (Figure 1A). In fact, out of 1700 individual replication forks measured in this study (Figure 2), 102 have a hybrid dot at the tip and these include both forks which only overlap with one dot (65, or 3.8%) and forks which run through a cluster of hybrids. A fraction of the CldU/IdU tracks colocalized with multiple hybrids in agreement with single molecule studies showing that hybrids distinct from Okazaki fragments accumulate behind the fork [18].
All these indicate that the RNA:DNA hybrid staining that we observe is of transcriptional origin, most likely R-loops. Indeed, when transcription is inhibited with actinomycin D, which stops new transcription initiation, the number of hybrids decreases significantly (Figure 1C,D). In addition, if deproteinated agarose plugs are treated with RNAse H before combing, the abundance of hybrids also decreases (Figure S1A–D). Note that some R-loops are reported to be RNAse H-resistant [20,21].
In our combing assay, hybrids stain as dots and almost exclusively colocalize with DNA. Often, they appear in clusters and look like strings of dots. This likely reflects discrete transcription units (Figure 1A,B and Figure S1C). Short hybrid lines can also be observed (Figure 1B), indicating that their lengths are beyond the imaging resolution. The longest hybrid that we measured was ~5.8 kb (3.5 μm long; assuming replication rate of 1 kb/min). This agrees with reported variable R-loops’ lengths spanning between lower hundreds and a few thousand base pairs [20,22]. Most R-loops range between 100 and 500 bp—lengths, which would appear as dots with our imaging setting.
3.2. RNA:DNA Hybrid DNA Combing Protocol Complements Electron Microscopy Studies
R-loops and replication forks have been visualized in a single molecule level using electron microscopy (EM) [18]. Our combing assay overcomes the inherent EM restrictions of limited distance from the fork (about 15 kb) that is due to restriction digestion, as well as the limitation that small hybrids can escape detection.
3.3. Direct Visualization of Transcription-Replication Interference
This assay allows direct differentiation on a single molecule level of replication forks challenged with R-loops/transcription collisions (transcription-replication conflicts). Because the forks, which colocalize with hybrids, face physical and topological obstacles (they need to stall, remodel, and restart), the prediction is that they should on average be shorter. We observed events such as fork slowing due to hybrid collision (examples: Figure 2A) or even a fork collapse at a dense cluster of hybrids (example: Figure 2B).
To demonstrate the relationship between fork length and hybrid colocalization, we manually measured the fork lengths in DU145 WT/BRCA1 knockout/ATM knockout cell lines. Only ongoing replication forks were analyzed, i.e., IdU (second label) was measured if it was preceded with CldU signal and was found on an intact DNA fiber based on ssDNA stain. Additionally, details about the number of hybrid dots that colocalized with IdU as well as which forks were sisters (radiate out of the same origin), were recorded. Consistently, in all three cases we observed a clear fork length population differentiation based on hybrid colocalization. Forks that colocalize with hybrids are shorter than those which are free of hybrids (Figure 2C–E) and the differences were strongly significant (Mann-Whitney, p < 0.0001; Figure 2F–H). The number of hybrid dots per fork varied between 1 and 8, about 90% of which were up to 3.
Both replication fork speed and hybrid/R-loop formation depend on chromatin structure. As forks emanating from one origin tend to proceed with the same velocities [23], to take chromatin context out of consideration in the relationship between hybrid colocalization and fork speed, we focused specifically on those sister forks in which one of the sisters colocalized with hybrids and the other did not. Among all measured forks, we identified 73 such pairs and plotted the ratios of their lengths (Figure 2I). Consistent with the predictions and the population measurements, most ratios were below 1, with a median ratio of 0.87, i.e., the median challenged fork is 13% shorter than its sister fork. Few pairs had ratios larger than 1, indicating additional factors different from hybrids challenging those forks.
3.4. Sources of RNA:DNA Hybrids
RNA:DNA hybrids in the genome can originate from: (1) R-loops, (2) catalytic center of transcribing RNA polymerases, (3) DNA replication primers at replication origins and Okazaki fragments, and (4) long non-coding RNAs, such as TERRA. Most of these would in theory provide sufficiently long S9.6 binding sites of at least 6 base pairs [24].
Our data indicates that the hybrid signal that we observe results from active transcription, i.e., R-loops and potentially RNA polymerase elongation complexes. It is unknown if the short hybrids that form in the catalytic center of RNA polymerases persist after deproteination and genomic DNA preparation. Yet, potential colocalization between such hybrids and replication forks would represent transcription-replication conflicts, if not strictly R-loop collisions.
3.5. Quality of Staining
The quantitation of hybrid abundance strongly depends on the quality of both hybrid and DNA staining on combed slides since the amount of DNA is used to normalize the number of detected hybrids. The method has been successfully applied using S9.6 antibodies produced by two different companies with similar results (note that there are multiple suppliers of S9.6 antibodies). It is essential to test and validate antibody performance because various formulations and batches may perform differently. Similarly, single-stranded DNA staining needs to be consistent. This can be affected by the degree of denaturation and the quality of ssDNA antibody. However, interexperimental variability is less relevant when examining single molecule events within the same slide, such as in Figure 2C–I, since the presence of different populations of replication forks serve as internal controls.
In addition, imperfect ssDNA staining can make fibers appear as strings of dots. In such cases, hybrids can localize between these DNA dots and be excluded from the DNA area, even though they lie on the same line (fiber), leading to false negative hybrid-DNA colocalization (Figure S2C). Further development of automated and/or AI-based algorithms would allow operations such as the unidirectional extension of dotty DNA staining into an intact fiber and more precise colocalization analysis.
3.6. DNA Combing Using In-House Reagents
This protocol is largely based on using FiberPrep DNA Extraction Kit from Genomic Vision. However, the company and its reagents are, at the time of preparing this manuscript, no longer available. Importantly, alternatives exist, such as well-established DNA combing protocols using in-house reagents [25]. In addition, silanized combing coverslips are still commercially available.
4. Troubleshooting
4.1. Problem 1
No (or too little) DNA on the coverslips (related to steps 9–23)
Quality check should be performed after DNA combing. Potential reasons for lack of DNA on the slides can be:
No or too few cells in the plug. In an extreme occasion when the cell number cannot be increased, such as in the case of precious and/or difficult to grow cells, the same coverslip could be re-combed in the same reservoir to accumulate more DNA fibres.
Too many cells in the plug: this can lead to excessive entanglement and bundling of the genomic DNA after melting of the plug, which prevents it from diffusing in the volume of the reservoir.
Insufficient incubation after pouring the DNA solution in the reservoir.
4.2. Problem 2
Too much DNA on the coverslips (related to step 9)
Too many cells in the plug. When DNA fibres are too dense, this can lead to difficulties with the segmentation during analysis.
4.3. Problem 3
Focal planes differ at different areas of the coverslip (related to step 66)
The coverslip is tilted during mounting. Extreme care must be taken to avoid dust particles when mounting the coverslips on the slides. Clean the slides carefully and use an air blower to remove any dust from the coverslips. If tilting still happens, perform the quantitation separately for areas of the coverslip with different focal planes.
4.4. Problem 4
No RNA:DNA hybrids signal (related to step 37)
Test different manufacturers and batches of S9.6 antibodies to identify working lots before proceeding to fork staining. We have been successful with S9.6 antibodies from Kerafast (Cat#ENH002, Lot#202301) and ActiveMotif (Cat#65683, Lot#35021002). It should be noted that freeze-thaw cycles can be detrimental for S9.6 antibody performance in a combing assay. This can be overcome by preparing a large amount of working solution (1:500 in blocking buffer), which can be aliquoted and snap-frozen in one-time-use doses. From the antibodies used in this study, Kerafast S9.6 was very sensitive to freeze-thawing, in which case preserving it by aliquoting as described above was critical and sufficient to stabilise the antibody for repetitive usage; the ActiveMotif antibody was not noticeably sensitive to freeze-thawing, likely due to its formulation, which does not freeze at −20 °C.
4.5. Problem 5
Poor DNA staining (related to steps 52 and 60)
Efforts must be made to achieve good DNA staining, as it is used for normalization of the hybrid signal between slides. This can be optimized by:
Testing different ssDNA antibodies.
Increasing the incubation time and/or concentration of the ssDNA antibody.
Ensuring sufficient denaturation of DNA. Instead of using NaOH, DNA can also be denatured with 2.5 M HCl for 25 min at room temperature. Either way, denaturation leads to a decrease in the S9.6 signal intensity. Care should be taken to denature enough, but not too extensively. In our experience, the S9.6 staining resists NaOH denaturation slightly better than HCl denaturation.
4.6. Problem 6
Technical variability in RNA:DNA hybrid abundance (related to Quantitation and Statistical Analysis)
Reliable quantitation of hybrids depends on both hybrid and DNA staining (Section 4.4 and Section 4.5)
We recommend performing biological and technical repeats to strengthen the significance of any inter-sample differences in hybrid abundance.
Acknowledgments
We thank Christelle de Renty and the other members of the DNA Damage Response Early Oncology Team at AstraZeneca for fruitful discussions and support. We thank Huw Naylor from CRUK-Cambridge Institute Light Microscopy Facility for technical support.
Supplementary Materials
The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/genes15091161/s1. Figure S1: RNAse H treatment in vitro reduces RNA:DNA hybrid abundance; Figure S2: Quantitation of RNA:DNA hybrid/R-loop abundance using Harmony 5.1.
Author Contributions
P.H. conceived the project, M.P.I. developed the protocol and performed the laboratory experiments and data analysis. H.Z. provided support with microscopy and developed the Harmony analysis pipeline. P.H. and M.P.I. co-wrote the manuscript. All authors have read and agreed to the published version of the manuscript.
Conflicts of Interest
Petra Hamerlik and Miroslav Penchev Ivanov are former employees of AstraZeneca. Heather Zecchini declares no conflicts of interest.
Funding Statement
This work was funded by the OligoNation foundation (R-107061) and the Brain Tumour Charity (GN-000612) and AstraZeneca. The APC was funded by AstraZeneca.
Footnotes
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.
References
- 1.Santos-Pereira J.M., Aguilera A. R loops: New modulators of genome dynamics and function. Nat. Rev. Genet. 2015;16:583–597. doi: 10.1038/nrg3961. [DOI] [PubMed] [Google Scholar]
- 2.Ginno P.A., Lott P.L., Christensen H.C., Korf I., Chedin F. R-loop formation is a distinctive characteristic of unmethylated human CpG island promoters. Mol. Cell. 2012;45:814–825. doi: 10.1016/j.molcel.2012.01.017. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Skourti-Stathaki K., Proudfoot N.J., Gromak N. Human senataxin resolves RNA/DNA hybrids formed at transcriptional pause sites to promote Xrn2-dependent termination. Mol. Cell. 2011;42:794–805. doi: 10.1016/j.molcel.2011.04.026. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Yu K., Chedin F., Hsieh C.L., Wilson T.E., Lieber M.R. R-loops at immunoglobulin class switch regions in the chromosomes of stimulated B cells. Nat. Immunol. 2003;4:442–451. doi: 10.1038/ni919. [DOI] [PubMed] [Google Scholar]
- 5.Lin Y., Wilson J.H. Nucleotide excision repair, mismatch repair, and R-loops modulate convergent transcription-induced cell death and repeat instability. PLoS ONE. 2012;7:e46807. doi: 10.1371/journal.pone.0046807. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Lin Y., Dent S.Y., Wilson J.H., Wells R.D., Napierala M. R loops stimulate genetic instability of CTG·CAG repeats. Proc. Natl. Acad. Sci. USA. 2010;107:692–697. doi: 10.1073/pnas.0909740107. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Lim Y.W., Sanz L.A., Xu X., Hartono S.R., Chedin F. Genome-wide DNA hypomethylation and RNA:DNA hybrid accumulation in Aicardi-Goutieres syndrome. Elife. 2015;4:e08007. doi: 10.7554/eLife.08007. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Kotsantis P., Silva L.M., Irmscher S., Jones R.M., Folkes L., Gromak N., Petermann E. Increased global transcription activity as a mechanism of replication stress in cancer. Nat. Commun. 2016;7:13087. doi: 10.1038/ncomms13087. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Garcia-Rubio M.L., Perez-Calero C., Barroso S.I., Tumini E., Herrera-Moyano E., Rosado I.V., Aguilera A. The Fanconi Anemia Pathway Protects Genome Integrity from R-loops. PLoS Genet. 2015;11:e1005674. doi: 10.1371/journal.pgen.1005674. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Bhatia V., Barroso S.I., Garcia-Rubio M.L., Tumini E., Herrera-Moyano E., Aguilera A. BRCA2 prevents R-loop accumulation and associates with TREX-2 mRNA export factor PCID2. Nature. 2014;511:362–365. doi: 10.1038/nature13374. [DOI] [PubMed] [Google Scholar]
- 11.Chang E.Y., Novoa C.A., Aristizabal M.J., Coulombe Y., Segovia R., Chaturvedi R., Shen Y., Keong C., Tam A.S., Jones S.J.M., et al. RECQ-like helicases Sgs1 and BLM regulate R-loop-associated genome instability. J. Cell Biol. 2017;216:3991–4005. doi: 10.1083/jcb.201703168. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Hodson C., van Twest S., Dylewska M., O’Rourke J.J., Tan W., Murphy V.J., Walia M., Abbouche L., Nieminuszczy J., Dunn E., et al. Branchpoint translocation by fork remodelers as a general mechanism of R-loop removal. Cell Rep. 2022;41:111749. doi: 10.1016/j.celrep.2022.111749. [DOI] [PubMed] [Google Scholar]
- 13.Marabitti V., Lillo G., Malacaria E., Palermo V., Sanchez M., Pichierri P., Franchitto A. ATM pathway activation limits R-loop-associated genomic instability in Werner syndrome cells. Nucleic Acids Res. 2019;47:3485–3502. doi: 10.1093/nar/gkz025. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Panatta E., Butera A., Mammarella E., Pitolli C., Mauriello A., Leist M., Leist M., Knight R.A., Melino G., Amelio I. Metabolic regulation by p53 prevents R-loop-associated genomic instability. Cell Rep. 2022;41:111568. doi: 10.1016/j.celrep.2022.111568. [DOI] [PubMed] [Google Scholar]
- 15.San Martin Alonso M., Noordermeer S.M. Untangling the crosstalk between BRCA1 and R-loops during DNA repair. Nucleic Acids Res. 2021;49:4848–4863. doi: 10.1093/nar/gkab178. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Schwab R.A., Nieminuszczy J., Shah F., Langton J., Lopez Martinez D., Liang C.C., Cohn M.A., Gibbons R.J., Deans A.J., Niedzwiedz W. The Fanconi Anemia Pathway Maintains Genome Stability by Coordinating Replication and Transcription. Mol. Cell. 2015;60:351–361. doi: 10.1016/j.molcel.2015.09.012. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Zhang X., Chiang H.C., Wang Y., Zhang C., Smith S., Zhao X., Nair S.J., Michalek J., Jatoi I., Lautner M., et al. Attenuation of RNA polymerase II pausing mitigates BRCA1-associated R-loop accumulation and tumorigenesis. Nat. Commun. 2017;8:15908. doi: 10.1038/ncomms15908. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Stoy H., Zwicky K., Kuster D., Lang K.S., Krietsch J., Crossley M.P., Schmid J.A., Cimprich K.A., Merrikh H., Lopes M. Direct visualization of transcription-replication conflicts reveals post-replicative DNA:RNA hybrids. Nat. Struct. Mol. Biol. 2023;30:348–359. doi: 10.1038/s41594-023-00928-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Halasz L., Karanyi Z., Boros-Olah B., Kuik-Rozsa T., Sipos E., Nagy E., Mosolygo L.A., Mazlo A., Rajnavolgyi E., Halmos G., et al. RNA-DNA hybrid (R-loop) immunoprecipitation mapping: An analytical workflow to evaluate inherent biases. Genome Res. 2017;27:1063–1073. doi: 10.1101/gr.219394.116. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Crossley M.P., Bocek M.J., Hamperl S., Swigut T., Cimprich K.A. qDRIP: A method to quantitatively assess RNA-DNA hybrid formation genome-wide. Nucleic Acids Res. 2020;48:e84. doi: 10.1093/nar/gkaa500. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Crossley M.P., Song C., Bocek M.J., Choi J.H., Kousouros J.N., Sathirachinda A., Lin C., Brickner J.R., Bai G., Lans H., et al. R-loop-derived cytoplasmic RNA-DNA hybrids activate an immune response. Nature. 2023;613:187–194. doi: 10.1038/s41586-022-05545-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Malig M., Hartono S.R., Giafaglione J.M., Sanz L.A., Chedin F. Ultra-deep Coverage Single-molecule R-loop Footprinting Reveals Principles of R-loop Formation. J. Mol. Biol. 2020;432:2271–2288. doi: 10.1016/j.jmb.2020.02.014. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Conti C., Sacca B., Herrick J., Lalou C., Pommier Y., Bensimon A. Replication fork velocities at adjacent replication origins are coordinately modified during DNA replication in human cells. Mol. Biol. Cell. 2007;18:3059–3067. doi: 10.1091/mbc.e06-08-0689. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Phillips D.D., Garboczi D.N., Singh K., Hu Z., Leppla S.H., Leysath C.E. The sub-nanomolar binding of DNA-RNA hybrids by the single-chain Fv fragment of antibody S9.6. J. Mol. Recognit. 2013;26:376–381. doi: 10.1002/jmr.2284. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Moore G., Jimenez Sainz J., Jensen R.B. DNA fiber combing protocol using in-house reagents and coverslips to analyze replication fork dynamics in mammalian cells. STAR Protoc. 2022;3:101371. doi: 10.1016/j.xpro.2022.101371. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.