METTL26 antibodies target the protein product of the METTL26 gene (previously C16orf13 or JFP2), a conserved methyltransferase-like protein with an unknown substrate . This gene is highly expressed in cancerous tissues and is implicated in housekeeping functions due to its widespread tissue distribution .
Prognostic Marker: High METTL26 mRNA expression correlates with poor progression-free survival in lung adenocarcinoma (LUAD) .
Genetic Alterations: While METTL26 itself shows low mutation rates in cancers, its overexpression is linked to tumor progression in TCGA datasets .
Conservation: The methyltransferase domain is evolutionarily conserved from primates to amphibians, suggesting critical functional roles .
Table 1: METTL26 Protein Conservation Across Species
| Species | Common Name | Sequence Identity | Evolutionary Divergence (MYA) |
|---|---|---|---|
| Homo sapiens | Human | 100% | 0 |
| Pan troglodytes | Chimpanzee | 98% | 6.4 |
| Mus musculus | Mouse | 87% | 92.4 |
| Xenopus tropicalis | Clawed frog | 58% | 371.2 |
METTL26 (methyltransferase like 26) is a protein encoded by the METTL26 gene in humans. It may also be referred to by alternative names including C16orf13, JFP2, and UPF0585 protein C16orf13. Structurally, METTL26 is a relatively small protein with a reported molecular mass of approximately 22.6 kilodaltons . While the exact function of METTL26 remains under investigation, its classification as a methyltransferase-like protein suggests potential involvement in methylation processes, which are critical for various cellular functions including gene expression regulation and protein modification. Recent research indicates possible roles in epigenetic regulation, though the specific substrates and pathways remain areas of active investigation.
Research-grade METTL26 antibodies are available in various formats to accommodate different experimental approaches:
| Antibody Type | Common Host Species | Available Formats | Key Applications |
|---|---|---|---|
| Polyclonal | Rabbit | Unconjugated, Biotin-conjugated | WB, IHC, IF, ELISA |
| Monoclonal | Mouse | Unconjugated, Fluorophore-conjugated | WB, ELISA, FCM |
| Region-specific | Rabbit, Mouse | N-terminal, C-terminal targeting | WB, IF, IHC |
For specificity considerations, antibodies targeting the N-terminal region of METTL26 are commonly used, with products like ARP69013_P050 demonstrating reactivity across multiple species including human, mouse, and rat samples . When selecting an antibody, researchers should consider their specific application requirements, target species, and whether specific protein domains need to be targeted.
METTL26 antibodies have been validated for multiple detection methods with varying sensitivities:
Western Blot (WB): Most commercial antibodies support this application with recommended dilutions ranging from 0.04-0.4 μg/mL
Immunohistochemistry (IHC): Typically using dilutions of 1:20-1:50
Immunofluorescence (IF): For subcellular localization studies
Flow Cytometry (FCM): For analysis of METTL26 in individual cells
ELISA: For quantitative protein detection
When designing experiments, it's important to optimize antibody concentration for each specific application and sample type to ensure optimal signal-to-noise ratio and reproducibility of results.
A robust validation strategy for METTL26 antibodies should include:
Specificity testing: Compare signal in samples with known METTL26 expression versus negative controls
Knockdown/knockout verification: Use siRNA or CRISPR to reduce METTL26 expression and confirm corresponding reduction in antibody signal
Cross-reactivity assessment: Test across multiple species if working with non-human models
Multiple technique validation: Confirm consistent results across different methods (e.g., WB, IF, IP)
For Western blot validation specifically, use positive control lysates from tissues known to express METTL26, run appropriate molecular weight markers to confirm the expected 22.6 kDa band, and include secondary-only controls to rule out non-specific binding . For immunohistochemistry validation, include appropriate isotype controls and test the recommended dilution range (typically 1:20-1:50) to determine optimal signal-to-background ratio .
Western blot optimization for METTL26 detection requires attention to several key parameters:
Sample preparation: Complete lysis and denaturation are essential; standard RIPA or NP-40 buffers with protease inhibitors are generally effective
Protein loading: 20-50 μg of total protein per lane is typically sufficient
Gel percentage: 12-15% polyacrylamide gels are optimal for resolving the 22.6 kDa METTL26 protein
Transfer conditions: Semi-dry transfer systems using PVDF membranes often provide better results than nitrocellulose for this small protein
Blocking: 5% non-fat dry milk or BSA in TBST (1 hour at room temperature)
Primary antibody incubation: Use recommended dilutions (0.04-0.4 μg/mL) in blocking buffer
Washing: Four 5-minute washes with TBST after both primary and secondary antibody incubations
Detection method: Enhanced chemiluminescence (ECL) systems provide good sensitivity, though fluorescent secondary antibodies may offer better quantification capabilities
For challenging samples or weak signals, extending primary antibody incubation to overnight at 4°C may improve detection while maintaining specificity.
For optimal immunofluorescence staining of METTL26:
Cell preparation: Culture cells on poly-L-lysine coated coverslips to 60-80% confluence
Fixation: 4% paraformaldehyde (15 minutes at room temperature) preserves most epitopes while maintaining cellular architecture
Permeabilization: 0.1% Triton X-100 in PBS (10 minutes)
Blocking: 5% normal serum (matching secondary antibody host) with 1% BSA (1 hour)
Primary antibody: Dilute according to manufacturer recommendations; for most METTL26 antibodies, 1:100-1:500 in blocking buffer (overnight at 4°C)
Secondary antibody: Use species-appropriate fluorophore-conjugated secondary at 1:500-1:1000 (1 hour at room temperature, protected from light)
Nuclear counterstain: DAPI (1:1000, 5 minutes)
Mounting: Use anti-fade mounting medium to preserve fluorescence
Include appropriate controls such as secondary-only samples and consider co-staining with organelle markers to better characterize METTL26 subcellular localization. Multiple METTL26 antibodies are validated for immunofluorescence applications, allowing for confirmation of findings with independent antibodies .
For investigating METTL26 protein interactions, consider these methodological approaches:
Co-immunoprecipitation (Co-IP):
Use 1-2 μg of METTL26 antibody per 500 μg of protein lysate
Pre-clear lysates with appropriate control IgG
Include both negative controls (IgG) and input samples
Confirm precipitation of METTL26 before probing for interaction partners
Proximity Ligation Assay (PLA):
Requires antibodies from different host species for METTL26 and potential interacting protein
Provides in situ visualization of protein interactions with subcellular resolution
Particularly valuable for detecting transient or weak interactions
FRET/BRET analysis:
Requires fluorophore-conjugated antibodies or expression of tagged fusion proteins
Provides dynamic information about interactions in living cells
Useful for monitoring interaction changes in response to stimuli
When analyzing potential interaction partners, consider the methyltransferase-like domain of METTL26 as a starting point for hypothesis generation, as this functional domain likely mediates many of its biological interactions with substrates or regulatory proteins.
To investigate potential roles of METTL26 in DNA methylation processes:
Chromatin Immunoprecipitation (ChIP):
Use highly specific METTL26 antibodies validated for ChIP applications
Optimize crosslinking conditions (1% formaldehyde for 10 minutes is a standard starting point)
Follow with next-generation sequencing (ChIP-seq) to identify genomic binding sites
Compare binding patterns with DNA methylation profiles using methyl-C capture sequencing (MCC-seq)
Methylation-specific assays:
Functional studies:
Examine METTL26 recruitment to specific genomic regions using ChIP-qPCR
Correlate METTL26 binding with methylation status and gene expression
Investigate interaction with known DNA methyltransferases using co-IP with METTL26 antibodies
For comprehensive methylation analysis, MCC-seq offers advantages over traditional 450k arrays, including better coverage of regulatory regions and nearly 8-fold increase in profiled sites (3.7 million vs. 450,000) .
For comprehensive tissue expression profiling of METTL26:
Tissue microarray (TMA) analysis:
Use immunohistochemistry-validated METTL26 antibodies at recommended dilutions (1:20-1:50)
Include multiple tissue types on a single slide for standardized comparison
Employ digital image analysis for quantitative assessment of expression levels
Consider double staining with cell-type specific markers to identify expressing populations
Multi-omics correlation approach:
Single-cell analysis:
Use flow cytometry with METTL26 antibodies for quantitative expression analysis in heterogeneous tissues
Combine with cell-type specific markers for comprehensive mapping of expression patterns
Consider imaging flow cytometry for simultaneous quantification and subcellular localization
This approach allows for correlating METTL26 expression with tissue-specific functions and potential disease associations across normal and pathological samples.
| Problem | Possible Causes | Solutions |
|---|---|---|
| No signal | Insufficient protein, antibody concentration too low, protein degradation | Increase loading amount, optimize antibody concentration, add fresh protease inhibitors, reduce boiling time |
| Multiple bands | Non-specific binding, protein degradation, post-translational modifications | Try different antibody concentration, use fresh samples, include phosphatase inhibitors, try antibody targeting different epitope |
| High background | Insufficient blocking, excessive antibody, inadequate washing | Increase blocking time, optimize antibody dilution, extend wash steps, try alternative blocking agent (BSA vs. milk) |
| Incorrect molecular weight | Post-translational modifications, splice variants, proteolytic cleavage | Verify with multiple antibodies targeting different epitopes, use reducing conditions, check literature for known modifications |
For the specific case of METTL26, which has a predicted molecular weight of 22.6 kDa, bands at unexpected molecular weights should be carefully evaluated for potential splice variants or post-translational modifications. When troubleshooting, it's advisable to compare results using N-terminal versus C-terminal targeting antibodies to help identify potential processing or cleavage events .
When facing discrepancies between detection methods (e.g., positive Western blot but negative immunohistochemistry):
Consider epitope accessibility:
Different fixation/preparation methods may mask or expose different epitopes
Denatured proteins (WB) present different epitopes than native proteins (IF/IHC)
Try multiple antibodies targeting different regions of METTL26
Evaluate expression levels:
Western blot may detect low abundance proteins not visible by IHC/IF
Consider signal amplification methods for less sensitive techniques
Confirm specificity:
Use genetic models (knockdown/knockout) to validate all detection methods
Compare results with orthogonal techniques (mass spectrometry, RNA-seq)
Analyze subcellular localization effects:
Compartmentalization may affect detection in certain assays
Nuclear proteins may require specialized extraction for WB but may be readily detected by IF
Methodological reconciliation often involves optimization of each technique independently and critical evaluation of the biological context. When possible, validate findings with multiple antibodies from different suppliers or targeting different epitopes .
For rigorous quantification of METTL26 expression changes:
Western blot densitometry:
Normalize to appropriate loading controls (β-actin, GAPDH, total protein)
Use technical replicates (minimum n=3) and biological replicates
Apply ANOVA with post-hoc tests for multiple group comparisons
Use non-parametric tests (Mann-Whitney) for non-normally distributed data
Immunohistochemistry quantification:
Employ digital image analysis with validated algorithms
Score multiple fields per sample (>5 fields recommended)
Use H-score or Allred scoring systems for semi-quantitative analysis
Apply appropriate statistical tests based on data distribution
Flow cytometry analysis:
Report median fluorescence intensity rather than mean (less affected by outliers)
Use fold-change relative to isotype controls
Apply Kolmogorov-Smirnov test for distribution differences
Multi-assay integration:
Employ normalization strategies to compare across platforms
Consider meta-analysis approaches for combining multiple experimental results
Use correlation analyses to assess consistency across methods
For all quantitative analyses, ensure appropriate controls, biological replicates (n≥3), and transparency in reporting statistical methods and significance thresholds.
METTL26 antibodies could advance epigenetic research through:
Histone modification studies:
ChIP-seq experiments to identify potential associations between METTL26 and specific histone marks
Sequential ChIP (re-ChIP) to determine co-occupancy with histone-modifying enzymes
Investigation of potential methyltransferase activity toward histone substrates
RNA modification research:
RNA immunoprecipitation (RIP) using METTL26 antibodies to identify bound RNA species
Investigation of potential roles in m6A, m1A, or other RNA methylation processes
Analysis of METTL26 association with known RNA methyltransferase complexes
Integrative multi-omics approaches:
Correlation of METTL26 binding sites with multiple epigenetic marks
Investigation of potential roles in reader-writer-eraser dynamics of epigenetic regulation
Comparison with other METTL family proteins with established epigenetic functions
These approaches could reveal novel functional roles for METTL26 in the broader epigenetic landscape, potentially identifying new regulatory mechanisms in development, cellular differentiation, or disease contexts.
Emerging technologies poised to enhance METTL26 antibody applications include:
Single-cell proteomics:
Application of METTL26 antibodies in mass cytometry (CyTOF)
Integration with single-cell transcriptomics for multi-modal analysis
Development of advanced antibody-based single-cell spatial proteomics
Super-resolution microscopy:
Implementation of METTL26 antibodies in STORM/PALM imaging
Analysis of nanoscale protein distribution and interaction networks
Combined with proximity labeling for functional protein neighborhood mapping
Antibody engineering:
Development of recombinant antibody fragments with enhanced tissue penetration
Creation of bispecific antibodies for simultaneous targeting of METTL26 and interaction partners
Generation of conditional binding antibodies for temporal control of detection
In vivo applications:
Development of cell-permeable antibodies or intrabodies for live-cell imaging
Conjugation with PET/SPECT tracers for non-invasive imaging in model organisms
Integration with optogenetic systems for light-controlled binding/unbinding
These technological advances could significantly expand the utility of METTL26 antibodies beyond current applications, enabling new insights into dynamic cellular processes and in vivo functions.