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Here, we present a sensitive and specific method to detect oncogene-induced transcription-replication conflicts (TRCs) using the proximity ligation assay (PLA). This approach leverages specific antibodies targeting PCNA and phospho-CTD RNAPII, enabling the assessment of TRC prevalence between RNA polymerase II transcription and DNA replication machinery.
Both DNA replication and RNA transcription utilize genomic DNA as their template, necessitating spatial and temporal separation of these processes. Conflicts between the replication and transcription machinery, termed transcription-replication conflicts (TRCs), pose a considerable risk to genome stability, a critical factor in cancer development. While several factors regulating these collisions have been identified, pinpointing primary causes remains difficult due to limited tools for direct visualization and clear interpretation. In this study, we directly visualize TRCs using a proximity ligation assay (PLA), leveraging antibodies specific to PCNA and phosphorylated CTD of RNA polymerase II. This approach allows precise measurement of TRCs between replication and transcription processes mediated by RNA polymerase II. The method is further enhanced through DNA primers conjugated covalently to these antibodies, coupled with PCR amplification using fluorescent probes, providing a highly sensitive and specific means of detecting endogenous TRCs. Fluorescence microscopy enables the visualization of these conflicts, offering a powerful tool to study genome instability mechanisms associated with cancer. This technique addresses the gap in direct TRC visualization, allowing for a more comprehensive analysis and understanding of the underlying processes driving genome instability in cells.
The genome serves as a template for essential biological processes, including replication and transcription. In healthy cells, RNA transcription and DNA replication machinery typically cooperate and are spatially and temporally segregated1,2,3,4. However, under pathological conditions, such as oncogene overexpression, this harmonious cooperation can be disrupted.
Oncogenes often drive elevated transcription levels, increasing the likelihood of collisions between the transcription and replication machinery5. Some oncogenes alter chromatin architecture, making it more accessible for transcription but potentially hindering replication fork progression5. Additionally, oncogene activation can induce replication stress by accelerating the cell cycle6. RNA polymerase II (RNAPII) activity is significantly elevated during the G1/S phase transition due to cyclin-dependent kinase (CDK) phosphorylation of Rb, which releases E2F transcription factors that promote the transcription of essential proteins, including cyclins, CDKs, and housekeeping genes7. Histone gene expression peaks during the S phase, coinciding with DNA replication8. Moreover, transcribing the full-length transcripts of some very long genes requires more than one cell cycle9. With each entry into the S phase, the simultaneous activity of transcription and replication machinery at the same genomic regions may result in detrimental encounters, leading to conflicts. These conflicts are a primary intrinsic source of genome instability, which is closely associated with tumorigenesis. How the replication machinery coordinates with RNAPII transcription to prevent harmful clashes and maintain genomic stability remains an important question. Therefore, direct visualization of RNAPII-associated transcription-replication conflicts (TRCs) has become essential for understanding the molecular mechanisms that resolve these conflicts and may eventually lay the foundation for harnessing these conflicts for therapeutic purposes.
Transcription-replication conflicts (TRCs) can emerge in two orientations: head-on, where transcription and replication progress towards each other, and co-directional, where they move in the same direction. Head-on collisions are far more destructive than co-directional ones10,11,12,13. The formation of DNA-RNA hybrids (R-loops) has been identified as a major driver of TRCs; thus, a considerable amount of research has inferred the presence of TRCs by assessing the occurrence of R-loops and their regions in response to dysregulated replication and/or transcription10,11. However, whether the accumulation of transcription-derived R-loops serves as a proportional obstacle to replication and directly correlates with TRCs remains an unresolved question. Researchers have also investigated TRCs by analyzing replication fork dynamics. For instance, two-dimensional gel electrophoresis of reporter genes can uncover locus-specific replisome pausing12, while DNA fiber assays allow researchers to examine alterations in replication fork speed, origin density, and fork asymmetry13. The advancement of next-generation sequencing technology has led to the development of several innovative methods, such as Okazaki fragment sequencing (Ok-seq)14,15, initiation site sequencing (ini-seq)16,17, short nascent strand sequencing (SNS-seq)18, Repli-seq19, and polymerase usage sequencing (Pu-seq)20. These techniques have provided genome-wide profiles of replication origin usage, fork directionality, and replication termination, revealing key factors involved in the coordination of replication and transcription. TRIPn-seq is one of the few methods capable of directly detecting transcription and replication co-occupancy, significantly expanding our understanding of the dynamic organization of DNA replication and transcription under physiological and pathological conditions21. Despite the valuable insights provided by these sequencing-based methods, their high cost and time-intensive nature limit their broader application. Therefore, it is crucial to establish a more definitive, highly sensitive, convenient, and rapid detection method to visualize and quantify TRCs at the single-cell level.
The in situ proximity ligation assay (PLA), also known as Duolink PLA technology, is a powerful method for evaluating the physical proximity of target proteins in tissue sections or cell cultures. This technique generates a signal only when two proteins or protein complexes are within 40 nm of each other. It requires two primary antibodies against the target proteins, each from a different species (e.g., mouse/rabbit, rabbit/goat, or mouse/goat). After incubating the sample with these primary antibodies, secondary antibodies known as PLA probes (one PLUS and one MINUS) are applied. Unlike regular secondary antibodies that bind to the constant regions of primary antibodies, PLA probes are covalently linked to specific DNA primers. When the target proteins are in close proximity (less than 40 nm), a connector oligonucleotide can hybridize with both PLA probes, facilitating the enzymatic ligation of their attached oligonucleotides into a full-length DNA molecule. This newly formed DNA serves as a surrogate marker for the detected protein interaction and acts as a template for amplification. The amplified product is then visualized using fluorescently labeled oligonucleotide probes. If the proteins are more than 40 nm apart, the PLA probes cannot form a DNA template, resulting in no detectable signal. The schematic diagram of PLA is depicted in Figure 1. The proximity and/or interaction are visualized by fluorescence microscopy as fluorescent dots, and the number and intensity of these dots can be quantified. Since its invention in 2002, PLA has become popular for monitoring protein interactions due to its high sensitivity and specificity. Unlike sequencing-based assays, PLA requires only small quantities of samples, making it favorable for analyzing scarce samples.
Studies have demonstrated that the expression of the oncogenic KRAS G12D mutation leads to transcription-replication conflicts (TRCs)22,23. For instance, research presented by Meng et al.23 indicates that ectopic expression of KRAS G12D in human pancreatic ductal epithelial (HPNE) cells enhances TRCs and TRC-related R-loops. To enable the detection of collisions between RNAPII transcription and replication machinery in cell lines, we provide a protocol specifically developed for this purpose. The KRAS (G12D) plasmid and vector control are transfected into human lung epithelial BEAS-2B cells, and KRAS (G12D) expression, along with DNA damage (γH2AX), is verified by Western blot. R-loop accumulation is confirmed by S9.6 dot blot analysis, which together indicates the accumulation of replication roadblocks and genome instability in cells expressing KRAS (G12D). Finally, the cells are fixed onto slides for the PLA assay. For localized detection of collisions, cells are first stained with RNAPII and PCNA primary antibodies, followed by staining with secondary antibodies conjugated with PLA probes. A circular DNA molecule forms through successful ligation, serving as a template for subsequent rolling circle amplification (RCA). The slides are then mounted with appropriate mounting media and visualized under a fluorescence microscope. The images can be analyzed using ImageJ.
1. Lentivirus production and transduction into target cell line
2. Verification of KRAS (G12D) derived DNA damage and R-loop formation
3. PLA assay
γH2AX serves as a biomarker for DNA damage. Overexpression of KRAS (G12D) impairs genomic stability in these cells, as evidenced by the increased γH2AX signal in Western blot analysis (Figure 2A). Additionally, the intensified S9.6 dot blot signal in KRAS (G12D)-expressing cells compared to vector controls (Figure 2B) indicates that oncogenic KRAS expression leads to the accumulation of aberrant R-loops, which may contribute to DNA break formation.
...The RNAPII transcription machinery can create a hindrance to DNA replication fork progression26,27, promoting TRCs and DNA damage, especially in cancer cells28,29. Deciphering the proteins that regulate TRCs and understanding the detailed mechanisms can help us comprehend how these harmful events occur and guide the development of new therapeutic approaches in the future. Therefore, to fully understand TR...
The authors have no conflicts of interest to disclose.
This work was supported by the University of South China's startup funding.
Name | Company | Catalog Number | Comments |
Clarity Western ECL Substrate | Bio-Rad | 1705061 | |
Duolink In Situ Detection Reagents Green | Sigma | DUO92014 | |
FLAG antibody | Millipore | F7425 | |
gamma H2AX antibody | Cell Signaling | 25955 | |
Glycogen, molecular biology grade | ThermoFisher | R0561 | |
Image J | NIH | https://imagej.net/ij/ | |
nitrocellulose membranes | Amersham | 10600004 | |
PCNA antibody | Cell Signaling | 13110 | |
pLVX-Kras G12D | N/A | N/A | |
pMD2.G | Addgene | 12259 | |
Proteinase K, recombinant, PCR grade | ThermoFisher | EO0491 | |
psPAX2 | Addgene | 12260 | |
RNAPII antibody | SCBT | sc-56767 | |
S9.6 antibody | Active motif | 65683 | |
UV crosslinkers | Fisher Scientific | FB-UVXL-1000 |
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