RESEARCH
Peer reviewed scientific video journal
Video encyclopedia of advanced research methods
Visualizing science through experiment videos
EDUCATION
Video textbooks for undergraduate courses
Visual demonstrations of key scientific experiments
BUSINESS
Video textbooks for business education
OTHERS
Interactive video based quizzes for formative assessments
Products
RESEARCH
JoVE Journal
Peer reviewed scientific video journal
JoVE Encyclopedia of Experiments
Video encyclopedia of advanced research methods
EDUCATION
JoVE Core
Video textbooks for undergraduates
JoVE Science Education
Visual demonstrations of key scientific experiments
JoVE Lab Manual
Videos of experiments for undergraduate lab courses
BUSINESS
JoVE Business
Video textbooks for business education
Solutions
Language
English
Menu
Menu
Menu
Menu
A subscription to JoVE is required to view this content. Sign in or start your free trial.
Research Article
Binghan Yan*1,2, Junli Chang*1,2, Suxia Guo1,2, Peng Zhao1,2, Fulai Zhao1,2, Chujie Zhou1,2, Junjie Tong1,2, Xinyu Zhang1,2, Yuping Hong1,2, Mengchen Yin1,2, Xingyuan Sun1,2, Yanping Yang1,2
1Longhua Hospital,Shanghai University of Traditional Chinese Medicine, 2Key Laboratory of Theory and Therapy of Muscles and Bones,Ministry of Education
Erratum Notice
Important: There has been an erratum issued for this article. View Erratum Notice
Retraction Notice
The article Assisted Selection of Biomarkers by Linear Discriminant Analysis Effect Size (LEfSe) in Microbiome Data (10.3791/61715) has been retracted by the journal upon the authors' request due to a conflict regarding the data and methodology. View Retraction Notice
This protocol provides a detailed approach to assessing m6A modification levels of specific RNA using MeRIP-qPCR.
RNA epitranscriptomic modification plays a critical role in the initiation and development of various cancers, among which N6-methyladenosine (m6A) is the most prevalent and functionally diverse modification. Here, we present a streamlined and reproducible protocol using MeRIP-qPCR to assess m6A modification levels of specific transcripts in osteosarcoma cells. In this assay, total RNA was extracted, followed by incubation with a specific anti-m6A antibody to immunocapture RNA of m6A modification. Then, RNA was fragmented, and enrichment of m6A-modified RNA fragments was achieved using protein G magnetic beads. The enriched RNA was released by proteinase K digestion and purified by RNA-binding beads. Lastly, RNA was subjected to reverse transcription and quantitative polymerase chain reaction (PCR) to assess m6A levels in candidate genes. The results have demonstrated that this method effectively distinguishes methylation differences and provides a reliable tool for exploring the functional mechanisms of m6A modification in osteosarcoma cells. In conclusion, MeRIP-qPCR offers a simple and highly specific approach for studying m6A modification in osteosarcoma cells. This protocol holds great potential for elucidating m6A regulatory networks and identifying novel therapeutic targets.
The latest epitranscriptome research reveals that RNA N6-methyladenosine (m6A) modification, the methylation of N6 position on adenosine, is the most abundant known intrinsic chemical modification of mRNA in eukaryotic cells1. m6A is involved in a wide range of biological processes, including mRNA stability, splicing, nuclear export, and translation efficiency2. Importantly, accumulating evidence suggests that dysregulation of m6A modification contributes to the initiation and development of various cancers, including osteosarcoma, a highly aggressive malignant bone tumor that predominantly affects adolescents and young adults3.
The study of m6A modification requires robust and reliable methodologies. Several approaches have been developed to detect m6A modification levels, including m6A dot blot, m6A ELISA, and MeRIP-seq. The m6A dot blot assay is simple and cost-effective, yet it suffers from limited sensitivity and poor quantification. It provides the m6A modification level of total RNA, rather than the m6A modification level of a specific RNA4. m6A ELISA offers relatively convenient and high-throughput detection; however, cross-reactivity and low accuracy remain major concerns, and it similarly lacks the capacity to reveal transcript- or site-specific modifications5. MeRIP-seq enables transcriptome-wide mapping of m6A; however, its requirements for large RNA input, relatively low resolution, and antibody dependency limit MeRIP-seq precision and reproducibility6. By contrast, MeRIP-qPCR combines immunoprecipitation with quantitative PCR, providing higher sensitivity and specificity for targeted detection of m6A on specific RNA7. This method enables sensitive and targeted detection of differential m6A enrichment in candidate genes, making it particularly suitable for validation studies in m6A-related cancer research. This method offers a cost-effective and accessible alternative for laboratories aiming to investigate m6A-mediated regulatory mechanisms.
Here, we provided a detailed protocol (Figure 1) to assess m6A modification levels of c-Myc in osteosarcoma cells using MeRIP-qPCR as an example. MeRIP-qPCR, relying on antibody-based enrichment of methylated RNA fragments, also coupled with reverse transcription and quantitative PCR, evaluates the presence and relative abundance of m6A on specific RNA. We demonstrated that this approach effectively distinguished methylation differences of c-Myc and provided a reliable platform for investigating the functional role of m6A in osteosarcoma cells. This study highlights the potential of MeRIP-qPCR as a practical and specific tool for m6A modification research in osteosarcoma and sets the stage for identifying novel therapeutic targets.
1. Preparing the RNA
NOTE: RNA Extraction is performed using an RNA extraction kit. Work inside a clean biosafety cabinet when handling cells and RNA reagents. Wear appropriate personal protective equipment (lab coat, gloves, protective eyewear). Pre-cool the centrifuge to 4 °C before starting.
2. Methylated RNA immunoprecipitation (MeRIP)
3. RT-qPCR
Here we provide a representative result of MeRIP-qPCR analysis, the m6A modification level of c-Myc in hFOB1.19 and 143B cells. As shown in Figure 2, c-Myc enrichment with anti-m6A antibody was significantly higher compared to IgG control, which only showed background levels, suggesting that the anti-m6A antibody is both effective and specific. We also observed that the m6A modification level of c-Myc was significantly higher in 143B than in hFOB1.19 cells (P < 0.001). This finding suggests that c-Myc undergoes more m6A modification in osteosarcoma cells, which may be closely associated with its role in tumor initiation and development. Therefore, m6A modification might regulate the stability or translational efficiency of c-Myc, thereby contributing to the maintenance of malignant phenotype in osteosarcoma cells.

Figure 1: Schematic representation of MeRIP-qPCR protocol. Please click here to view a larger version of this figure.

Figure 2: The m6A modification levels of c-Myc in hFOB1.19 and 143B cells. MeRIP-qPCR analysis showed that the m6A modification level of c-Myc was significantly higher in 143B cells compared with hFOB1.19 cells (P < 0.001) (n = 5). All normally distributed data are expressed as mean ± SEM. Compare differences between two groups using the t-test and consider P < 0.05 as statistically significant. Please click here to view a larger version of this figure.
| Component | Sample Tube | Non-Immune IgG | PC Positive Control |
| ICB (Immuno Capture Buffer) | 194- V_RNA | 194- V_RNA | 191 μL |
| m6A antibody | 2 μL | 0 | 2 μL |
| RNA sample | Volume containing 10 µg of RNA (V_RNA) | Volume containing 10 µg of RNA (V_RNA) | 0 |
| Non-Immune IgG | 0 | 2 μL | 0 |
| Positive control oligo | 0 | 0 | 3 μL |
| Affinity Beads | 4 μL | 4 μL | 4 μL |
| Total Volume | 200 μL | 200 μL | 200 μL |
Table 1: List of components for MeRIP.
| c-Myc Forward | GGACTTGTTGCGGAAACGA |
| c-Myc Reverse | CCCCATCAACTGGGCAGAA |
Table 2: List of primers.
MeRIP-qPCR has emerged as a valuable tool for studying RNA m6A modifications with broad applications. It is particularly useful in validating high-throughput sequencing results and localizing modification sites precisely within specific regions of target genes during mechanistic studies. Furthermore, this method can be readily implemented in most molecular biology laboratories due to its relatively low cost and operational simplicity, making it an efficient and practical approach for epitranscriptomic research8.
To ensure success, this method relies on several critical steps. First, RNA integrity and quality are essential, as degraded RNA can lead to unreliable results. Second, rigorous control design is important, with the inclusion of both Input and IgG controls being necessary to eliminate biases from nonspecific binding. Third, the choice of antibody is key; only high-affinity and high-specificity m6A antibodies can ensure reliable enrichment9. Moreover, optimization of RNA fragmentation and careful primer design directly influence both the resolution and detection efficiency of the assay10.
MeRIP-qPCR offers distinct advantages compared to other approaches. With the aid of specific antibody enrichment and amplification power of qPCR, it enables the detection of m6A modifications even on low-abundance transcripts6. MeRIP-qPCR also enables regional localization of modification sites, unlike dot blot, which provides only overall levels or sequencing-based methods, often costly despite pinpointing exact modified nucleotides. Thus, MeRIP-qPCR provides a relatively low-cost yet informative alternative.
However, this technique has limitations. It provides only relative quantification rather than absolute modification levels, which can be achieved by mass spectrometry (LC-MS/MS)11. Its reliability is highly dependent on the quality and specificity of the antibodies; poor antibodies will potentially lead to high background or false negatives5. In terms of resolution, MeRIP-qPCR is limited by RNA fragment length, typically ranging from 100 to 500 nucleotides, preventing single-nucleotide resolution12. It is also unable to distinguish multiple adjacent modification sites within the same RNA fragment. To overcome these limitations, advanced techniques such as miCLIP or m6A-CLIP are required.
In conclusion, MeRIP-qPCR represents a sensitive, specific, and practical method for detecting m6A modifications. Nanopore sequencing can directly read RNA sequences and their modifications at the single-molecule level, providing high-resolution maps for transcriptome-wide localization of m6A sites13. The integration of these two approaches not only enhances the accuracy of m6A detection but also establishes a technical workflow from "global screening" to "targeted validation," thereby facilitating functional studies of m6A modifications in various biological processes and disease mechanisms.
The authors have nothing to disclose.
This study was supported by grants from National Nature Science Foundation (82174408, 82374477, 82474535 and 82205145).
| 100% ethanol | Shanghai Titan Scientific Co.,Ltd., America | 1158566 | |
| 143B | ATCC, America | ATCC CRL-8303TM | |
| 2×SYBR Green qPCR Mix | Beijing Qihengxing Biotechnology Co., Ltd., China | FS-Q1002 | |
| Denovix DS-11 | Denovix | DS-11 | Spectrophotometer |
| DMEM medium | WISENT CORPORATION, China | 319-005-CL | |
| DMEM/F-12 medium | Gibco, America | 11320033 | |
| EpiQuik CUT&RUN m6A RNA Enrichment (MeRIP) Kit | Epigentek, America | P-9018-24 | |
| Fetal Bovine Serum | WISENT CORPORATION, China | 086-150 | |
| hFOB1.19 | Cell Bank of the Chinese Academy of Sciences, China | GNHu14 | |
| m6A RNA Methylation Assay Kit | Abcam, England | ab185912 | |
| microRNA Reverse Transcription Kit | EZBioscience-EZB, America | A0010CGQ | |
| Real-Time System | BIO-RAD, America | CFX96 | |
| Total RNA Extraction Kit | EZBioscience-EZB, America | B0004DP | |
| TrypLE Express Enzyme | Gibco, America | 12604021 |