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Research Article
Suxia Guo*1,2, Junli Chang*1,2, Xiaobo Wang1,2, Fulai Zhao1,2, Peng Zhao1,2, Binghan Yan1,2, Chujie Zhou1,2, Junjie Tong1,2, Xinyu Zhang1,2, Yuping Hong1,2, 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Selection of Biomarkers by Linear Discriminant Analysis Effect Size (LEfSe) in Microbiome Data (10.3791/61715) has been retracted by the journal upon the authors' request due to a conflict regarding the data and methodology.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
Here, we present a protocol to semi-quantitatively assess global m⁶A levels using dot blot. Total RNA is extracted, denatured, spotted on a nylon membrane, probed with anti-m⁶A antibody, and visualized by chemiluminescence. Signal intensity, quantified by ImageJ grayscale analysis, reflects relative methylation abundance, providing a reproducible workflow for research.
N6-methyladenosine (m⁶A) is the most abundant internal modification in eukaryotic messenger RNA (mRNA) and serves as a key regulator of post-transcriptional gene expression. Methods for investigating m⁶A can be applied at multiple levels of resolution, including global quantification, nucleotide-specific detection, and analysis of particular transcripts of interest. Among these, the dot blot assay provides a straightforward, rapid, and cost-effective approach for semi-quantitative evaluation of global m⁶A modification levels. In this assay, cells are first processed to extract total RNA, which is then diluted and denatured. The RNA samples are spotted onto a nylon membrane, probed with an anti-m⁶A antibody, and visualized by chemiluminescence, with signal intensity indicating the relative abundance of methylation. Finally, quantification and comparison of signal intensities are performed by measuring grayscale values with ImageJ. Compared with sequencing or mass spectrometry-based methods, dot blot requires minimal instrumentation and technical expertise, making it particularly suited for routine screening, preliminary functional studies, and comparative analyses. This protocol provides a detailed and reproducible workflow for implementing the m⁶A dot blot assay in both basic research and translational applications.
N6-methyladenosine (m⁶A) is the most prevalent internal modification in eukaryotic messenger RNA (mRNA) and plays an essential role in post-transcriptional regulation, including RNA stability, splicing, degradation, translation, and export1,2,3. Dysregulation of m⁶A modification has been implicated in diverse physiological and pathological processes, including tumor initiation, progression, and metastasis4,5. In osteosarcoma, elevated m⁶A levels have been observed in both cell lines and tissues, suggesting a role for aberrant RNA methylation in disease biology6,7. Therefore, systematic assessment of global m⁶A abundance, together with its changes in osteosarcoma-associated transcripts and regulatory pathways, is essential for clarifying the biological mechanisms and clinical implications of RNA methylation in osteosarcoma.
Several analytical methods are available to study m⁶A modifications8,9. Liquid chromatography-mass spectrometry/mass spectrometry (LC-MS/MS)10 and enzyme-linked immunosorbent assay (ELISA)-based assays11 are both used to measure global m⁶A levels. The former offers high sensitivity but requires specialized equipment and expertise, while the latter gives relative m6A levels and contributes to a higher cost than the dot blot assay. MeRIP-qPCR enables targeted assessment of specific transcripts, but it is strongly influenced by immunoprecipitation efficiency12. MeRIP-seq13, m⁶A-seq14, and m⁶A-SAC-seq15 are sequencing-based approaches, which can precisely map m⁶A methylation sites; however, they are expensive and require extensive bioinformatics analysis.
The m⁶A dot blot assay offers a straightforward, rapid, and cost-effective method for determining global m⁶A modification levels in RNA. As a semi-quantitative immunoassay, its primary advantage lies in generating an overall view of m⁶A abundance without the need for specialized equipment or complex bioinformatic analysis. This makes the m⁶A dot blot assay a valuable tool for routine screening, preliminary functional validation, and clinical research, as well as a practical complement to advanced sequencing and mass spectrometry-based approaches. The present protocol offers a detailed step-by-step workflow, ensuring reproducible detection and broad applicability.
NOTE: The protocol is organized into three sections: RNA preparation, dot blot assay, and quantification. Table of Materials summarizes the required materials, Supplementary Table 1 details the reagent formulations, and Figure 1 illustrates the experimental workflow.
1. RNA preparation
2. Dot blot
3. Quantification
To rigorously validate the performance of the dot blot assay and to examine the role of SNHG21 in regulating global m6 A levels, 143B cells were subjected to pharmacological perturbations that either suppress or enhance m6 A methylation and monitored m6 A abundance in both directions.
Dot blot quantification of global m6 A abundance
We first evaluated the ability of this assay to detect reductions in m6 A levels by inhibiting the m6 A methylation (Figure 2). As shown in Figure 2A, treatment with the methyltransferase inhibitor 3-DAA (100 µM, 24 h) markedly decreased the global m6 A signal. Knockdown of SNHG21 alone produced a comparable reduction in baseline m6 A levels, and additional 3-DAA treatment further decreased the signal in shSNHG21 cells. These results demonstrate that the assay reliably detects progressive decreases in global m6 A abundance (Figure 2A,C,D).
We next examined whether the assay could sensitively capture increases in m6 A levels by blocking the demethylation pathway (Figure 3). As shown in Figure 3A, treatment with the demethylase inhibitor MA (100 µM, 24 h) significantly elevated global m6 A levels. Notably, despite their lower basal m6 A signal, shSNHG21 cells exhibited a robust increase in m6 A upon MA treatment, confirming the capacity of this assay to detect upward changes across a broad dynamic range (Figure 3A,C,D).
RNA quality correlates linearly with chemiluminescence signal
Grayscale intensities of the chemiluminescent signals were quantified using ImageJ and analyzed with GraphPad software. The dot blot signal increased proportionally with RNA input, yielding linear regression coefficients (R²) ranging from 0.93 to 0.99 across the same group (Supplementary File 1). One-way ANOVA revealed statistically significant differences among the tested RNA concentration groups in the same group (P < 0.05; Figure 2C, Figure 3C, and Supplementary File 1). At an RNA input of 400 ng, differences between experimental groups remained statistically significant (P < 0.05; Figure 2D and Figure 3D).
Grayscale intensities of the chemiluminescent signals were quantified using ImageJ and analyzed with GraphPad software. MB staining confirmed equal RNA loading within each concentration gradient (P > 0.05; Figure 2B, Figure 3B, and Supplementary File 1). However, because of the dark background in MB staining, which interferes with quantitative normalization, normalization is no longer performed.
Specificity control
To assess signal specificity, a technical control was included in which membranes were incubated with the HRP-conjugated secondary antibody alone. No detectable chemiluminescent signal was observed under these conditions (Figure 4), indicating that the detected signal is strictly dependent on the primary anti-m6 A antibody and not attributable to non-specific binding or artifacts in the detection system.
Collectively, these results demonstrate that the dot blot assay specifically, linearly, and sensitively detects both increases and decreases in global m6 A levels, supporting its utility as a rapid, semi-quantitative screening tool for studies in RNA epigenetics.

Figure 1: m6 A dot blot assay flow chart. Created with BioRender.com. Please click here to view a larger version of this figure.

Figure 2: Dot blot analysis of global m6 A levels following SNHG21 knockdown and 3-DAA treatment. (A) 143B shCtrl and shSNHG21 cells were treated with vehicle (0.1% DMSO) or the m6 A methyltransferase inhibitor (3-DAA; 100 µM) for 24 h. Total RNA was isolated, serially diluted (400, 200, and 100 ng), spotted onto a nylon membrane, and probed with an anti-m6 A antibody.(B) MB staining of the membrane confirms equal RNA loading across each concentration gradient.(C) Quantification of chemiluminescent signals demonstrates a linear relationship between m6 A signal intensity and RNA input (mean ±± SD, n = 3).(D) Quantitative comparison of m6 A signal intensity at 400 ng RNA input (mean ±± SD, n = 3). Statistical significance was determined by one-way ANOVA followed by Tukey's multiple-comparison test (*P < 0.05, **P < 0.01, ***P < 0.001). Please click here to view a larger version of this figure.

Figure 3: Dot blot analysis of global m6 A levels following SNHG21 knockdown and MA treatment. (A) 143B shCtrl and shSNHG21 cells were treated with vehicle (0.1% DMSO) or the m6 A demethylase inhibitor (MA; 100 µM) for 24 h. Total RNA was isolated, serially diluted (400, 200, and 100 ng), spotted onto a nylon membrane, and probed with an anti-m6 A antibody. (B) MB staining of the membrane confirms equal RNA loading across each concentration gradient. (C) Quantification of chemiluminescent signals demonstrates a linear relationship between m6 A signal intensity and RNA input (mean ±± SD, n = 3). (D) Quantitative comparison of m6 A signal intensity at 400 ng RNA input (mean ±± SD, n = 3). Statistical significance was determined by one-way ANOVA followed by Tukey's multiple-comparison test (*P < 0.05, **P < 0.01, ***P < 0.001). Please click here to view a larger version of this figure.

Figure 4: Secondary antibody-only control for dot blot specificity. (A) 143B shCtrl and shSNHG21 cells were treated with vehicle (0.1% DMSO) or the m6 A methyltransferase inhibitor (3-DAA; 100 µM) for 24 h. Total RNA was isolated, serially diluted (400, 200, and 100 ng), and spotted onto a nylon membrane. Membranes were incubated with the HRP-conjugated secondary antibody alone, without the primary anti-m6 A antibody. No detectable chemiluminescent signal was observed, confirming the absence of non-specific binding.(B) MB staining of the membrane confirms equal RNA loading across each concentration gradient. Please click here to view a larger version of this figure.
Supplementary Table 1: Reagent formulations. Please click here to download this File.
Supplementary File 1: Statistical analysis and results for Figure 2B,C, and Figure 3B,C. Please click here to download this File.
In this study, knockdown of SNHG21 in osteosarcoma 143B cells resulted in reduced m⁶A signal intensity, demonstrating the value of this assay for evaluating whether genetic modifications affect RNA methylation. Additionally, this assay serves as a tool for multiple applications, including: 1) Functional studies and mechanistic validation: This assay can be used for rapid preliminary screening to determine whether global m⁶A levels are associated with specific biological processes, such as cell differentiation, stress response, or tumor progression16. It also serves to evaluate the functional roles of m⁶A regulators ("Writers," "Erasers," and "Readers") by assessing whether their manipulation leads to measurable changes in overall methylation abundance17,18. 2) Analysis of specific RNA populations: This assay enables detection of m⁶A enrichment within defined RNA subsets, including mRNA, lncRNA, or rRNA, thereby providing insights into RNA class-specific methylation patterns19. 3) Clinical and translational applications: It offers a practical approach for comparing global m⁶A levels in clinical samples, such as tumor versus adjacent normal tissues, supporting biomarker development and disease association studies20. 4) Complement to high-resolution techniques: Serves as a preparatory or supportive experiment for advanced methods such as MeRIP-seq, LC-MS/MS, providing a rapid and economical overview before committing to resource-intensive analyses8. Overall, the m⁶A dot blot assay provides a versatile, efficient, and economical platform for global m⁶A assessment, making it a valuable tool for preliminary screening, functional validation, clinical research, and as a complement to advanced sequencing- or mass spectrometry-based approaches.
Several technical considerations are crucial for reproducible and accurate results. First, a uniform spot size requires accurate RNA dilution, calibrated pipettes, and consistent sample loading speed. Second, Nylon membranes are recommended for their strong nucleic acid binding capacity, low background, and mechanical stability, providing excellent RNA retention21. Third, MB staining provides a simple and effective loading control, reflecting total RNA input and enabling reliable normalization across samples22. Attention to these steps ensures data quality and interpretability. In addition, the dilution series of RNA input should demonstrate a linear relationship with the signal intensity detected on the membrane. This linearity validates the accuracy of the experimental procedure and meets a fundamental requirement for robust semi-quantitative analysis.
While strict adherence to the key technical considerations outlined above is essential to ensure assay accuracy, several experimental parameters remain flexible and may be optimized according to specific experimental requirements. For instance, although an EZB kit was employed for RNA extraction in the present protocol, the dot blot assay itself is not restricted to a particular extraction method; any approach that yields high-quality, intact RNA is suitable23. The MB staining step may be performed either as described in this protocol or repositioned to occur after the membrane cross-linking step (i.e., following step 2.2.3). Moreover, to minimize background signals and enhance the signal-to-noise ratio, several key detection parameters can be further optimized as needed. These include the RNA loading amount and dilution range, the membrane cross-linking strategy (e.g., UV irradiation or baking, together with the corresponding temperature and duration), the optimal working concentration of the antibody, the incubation times for blocking, primary and secondary antibodies, and MB staining, as well as the number and duration of membrane washing steps.
The dot blot assay has several inherent limitations. It is semi-quantitative, lacks single-nucleotide resolution, and does not provide information on modification patterns within individual transcripts24. Its sensitivity is also influenced by RNA quality, loading consistency, and antibody specificity, restricting its application to global rather than site-specific analyses25,26.
In conclusion, although the m⁶A dot blot assay cannot substitute for high-resolution sequencing or mass spectrometry, its simplicity, speed, and low cost make it well-suited for rapid assessment of m⁶A abundance. It serves as a practical and accessible method for preliminary screening and comparative studies, and it complements analytical techniques in RNA epigenetics research.
The authors report no conflicts of interest.
This work was supported by grants from the National Nature Science Foundation (82174408, 82374477, and 82474535). Figure 1 was created with BioRender.com.
| 3-deazaadenosine (3-DAA) | MCE | HY-W013332A | 1 mg |
| Anti-m6A Monoclonal antibody | Proteintech | 68055-1-Ig | 50 μL |
| Bovine serum albumin (BSA, Fraction V) | BioFroxx | 4240GR100 | 100 g |
| ChemiDoc MP Imaging System | BIO RAD | 12003154 | |
| DMEM High Glucose | WISENT | 319-005-CL | 500 mL |
| DS-11 spectrophotometer | DeNOVIX | DS-11 | |
| EZ-press RNA Purification Kit | EZB | B0004DP | 100 Preps |
| FBS- Superior quality | WISENT | 086-150 | 500 mL |
| HRP-conjugated Goat Anti-Mouse IgG (H+L) | Beyotime | A0216 | 1 mL |
| Immobilon Western chemiluminescent HRP Substrate | Millipore | WBKLS0500 | 2 × 250 mL |
| Meclofenamic acid (MA) | MCE | HY-117275 | 1 mg |
| Methylene blue staining solution | Solarbio | G1300 | 0.1%, 100 mL |
| Nylon transfer membrane | LABSELECT | TM-NY-XS-45 | 7.4 × 8.5 cm, 0.45 μm, 10 PCS/BAG |
| PBS buffer (ready-to-use dry powder) | biosharp | BL601A | pH: 7.2-7.4, 2 L/ bag |
| Sodium dodecyl sulfate (SDS) | Sigma | L5750-500G | 500 g |
| TBS buffer Premix powder | Sangon | A510025-0001 | 1EA (243.9 g powder) |
| TrypLE Express Enzyme | Gibco | 12604-021 | 1×, 500 mL |
| Tween-20 | Sangon | A600560-0500 | 500 mL |
| UV crosslinker | UVP | CL-1000 |