METTL2A is a cytoplasmic methyltransferase that catalyzes N3-methylcytidine (m³C) modifications at position 32 (m³C32) in tRNA-Arg and tRNA-Thr, influencing mRNA translation efficiency . Key features include:
Structure: Contains a conserved S-adenosylmethionine (SAM)-binding motif critical for methyltransferase activity .
Homologs: Shares 98% amino acid identity with METTL2B but exhibits distinct substrate specificity .
Cancer Relevance: Overexpressed in breast invasive carcinoma (BRCA), liver hepatocellular carcinoma (LIHC), and lung adenocarcinoma (LUAD), correlating with poor patient prognosis .
METTL2A antibodies enable precise detection and functional studies in experimental settings:
Substrates: METTL2A modifies tRNA-Thr-CGT and tRNA-Arg-TCT isodecoders, with m³C32 loss impairing ribosome progression at serine AGU codons .
Phenotypic Impact: Combined METTL2A/2B/6 knockout reduces cell proliferation by 40% and increases cisplatin sensitivity in cancer models .
Expression Analysis: Proteomic data (CPTAC) show METTL2A overexpression in 12% of LUAD and 9% of BRCA tumors compared to normal tissues .
Correlations: METTL2A mRNA levels positively correlate with Ki-67 (proliferation marker, r = 0.34, P < 0.001) in TCGA cohorts .
METTL2A is a methyltransferase enzyme that catalyzes the addition of N3-methylcytidine (m3C) modifications, primarily at position 32 (m3C32) in the anticodon loop of specific tRNA species. It functions predominantly on tRNA-arginine and tRNA-threonine members, with particular substrate specificity determined by structural elements including G35 and t6A37 modifications in the anticodon loop . METTL2A's importance stems from its role in regulating translation of specific mRNAs enriched with codons that require m3C32-modified tRNAs for efficient translation.
Recent research has demonstrated that METTL2A, along with related methyltransferases METTL2B and METTL6, plays a critical role in controlling the translation of mRNAs related to cell cycle and DNA repair pathways . The loss of these enzymes leads to altered translation patterns of serine codon-biased mRNAs, resulting in slower cell proliferation and increased sensitivity to DNA-damaging agents like cisplatin . This makes METTL2A a significant target for research in cancer biology, cell cycle regulation, and translational control mechanisms.
Differentiating between METTL2A and METTL2B presents a significant challenge due to their high sequence similarity. Effective METTL2A antibodies should target regions containing key amino acid differences between the two proteins. Three critical residues distinguish METTL2A from METTL2B: Arg26 (versus Ser26 in METTL2B), Pro124 (versus Cys124), and Leu155 (versus Pro155) . High-quality METTL2A antibodies should recognize epitopes containing one or more of these distinguishing residues.
When validating METTL2A antibody specificity, researchers should perform control experiments using cells with METTL2A knockout/knockdown alongside wild-type cells. Additionally, comparison testing with recombinant METTL2A and METTL2B proteins can confirm antibody specificity . Mass spectrometry analysis has confirmed that both proteins are expressed in human cells, with identifiable peptides such as "AGSYPEGAPAVLADKR" for METTL2A and "AGSYPEGAPAILDKR" for METTL2B . These peptide differences provide targets for generating highly specific antibodies.
METTL2A is predominantly distributed throughout the cytoplasm with no significant localization to mitochondria . When performing immunofluorescence studies using METTL2A antibodies, researchers should expect a diffuse cytoplasmic staining pattern. This cytoplasmic distribution aligns with METTL2A's function in modifying cytoplasmic tRNAs rather than mitochondrial tRNAs.
Immunofluorescence experiments with FLAG-tagged METTL2A have definitively demonstrated this cytoplasmic localization pattern . When designing immunofluorescence experiments, appropriate controls should include METTL2A knockout cells to verify antibody specificity. Co-staining with markers for different cellular compartments (especially mitochondrial markers) can further validate the cytoplasmic localization of METTL2A and distinguish it from potential mitochondrial localization that might be observed with other RNA modification enzymes.
When selecting METTL2A antibodies for Western blot applications, researchers should consider several key technical aspects. First, the molecular weight of METTL2A with a His6-tag is approximately 45.4 kDa, though gel filtration analysis has shown it may appear at approximately 48.5 kDa when analyzed by Superdex S75 . Researchers should ensure the antibody can detect METTL2A at this expected molecular weight range.
Additionally, antibodies should be tested for cross-reactivity with METTL2B, which shares high sequence homology with METTL2A. Critical amino acid differences between METTL2A and METTL2B include positions 26 (Arg vs Ser), 124 (Pro vs Cys), and 155 (Leu vs Pro) . These differences affect enzyme activity, with METTL2B showing approximately 1/10 the m3C32 modification activity of METTL2A in vitro . When validating antibody performance, include protein samples from METTL2A knockout cells and cells overexpressing METTL2A to confirm specificity and sensitivity. For optimal Western blot results, determine the appropriate antibody dilution and blocking conditions to minimize background while maintaining specific signal detection.
METTL2A antibodies can be employed in RNA immunoprecipitation (RIP) assays to capture and analyze METTL2A-bound tRNAs. This approach reveals which tRNA species interact with METTL2A in vivo. The experimental design should account for METTL2A's known substrate preferences, particularly tRNA-arginine and tRNA-threonine members with specific structural requirements . When performing RIP assays, crosslinking with formaldehyde or UV can stabilize protein-RNA interactions before immunoprecipitation with METTL2A antibodies.
Research has identified specific tRNA structural elements critical for METTL2A recognition, including G35 in the anticodon, t6A37 modification, and particular sequences in the anticodon stem . When analyzing RIP results, researchers should specifically look for enrichment of tRNA-Thr(CGU), which has shown the highest modification efficiency by METTL2A in vitro . Control experiments should include immunoprecipitation with non-specific IgG and validation using METTL2A knockout cells.
To further characterize METTL2A-tRNA interactions, researchers can combine RIP with structural analyses. For instance, METTL2A requires both the C27-G43 and U31-A39 base pairs in the anticodon stem for efficient substrate recognition . This knowledge can guide the interpretation of RIP results and the design of subsequent validation experiments using mutant tRNAs.
When validating METTL2A antibodies in knockout or knockdown studies, multiple controls are essential to ensure specificity and reliability. First, include wild-type cells alongside METTL2A knockout/knockdown cells to demonstrate the specific loss of signal. Additionally, METTL2A/METTL2B double knockout cells are valuable controls, as they help distinguish between potential cross-reactivity with METTL2B .
Research has shown that single knockouts of either METTL2A/B or METTL6 may not completely eliminate m3C32 modification on certain tRNAs, particularly tRNA-Ser-GCT, which requires both METTL2A/B and METTL6 for complete modification . Therefore, when validating antibody specificity through functional assays, researchers should consider using combined METTL2A/B/METTL6 knockout models to observe more pronounced phenotypic effects.
Another effective control approach involves rescue experiments with wild-type and mutant METTL2A. Studies have successfully used this strategy by overexpressing wild-type METTL2A or specific mutants (such as N193A, F214A, R302A, N312A, R354A, and R362A) in METTL2A knockout cells . When properly executed, this approach can confirm antibody specificity while also providing insights into which protein domains are essential for epitope recognition.
METTL2A antibodies can significantly enhance HAC-Seq (Hydrazine-based Acidic Cleavage Sequencing) studies of tRNA modifications by enabling immunodepletion or immunoprecipitation steps. HAC-Seq is a powerful technique for precisely mapping m3C modifications in tRNAs by inducing chemical cleavage at modified sites . By first immunoprecipitating METTL2A-bound tRNAs before HAC-Seq analysis, researchers can enrich for tRNAs that are actively being modified.
When designing experiments combining METTL2A antibodies with HAC-Seq, researchers should consider the specific tRNA isodecoders known to be modified by METTL2A. For instance, research has shown that METTL2A/B predominantly modifies tRNA-arginine and tRNA-threonine members, with tRNA-Thr-CGT isodecoders (particularly tRNA-Thr-CGT-1-1 and tRNA-Thr-CGT-3-1) showing almost complete elimination of m3C32 modification in METTL2A/B knockout cells .
The integration of immunoprecipitation with HAC-Seq can reveal dynamic changes in METTL2A-mediated tRNA modification under different cellular conditions. For instance, researchers investigating how m3C32 modifications change during cell cycle progression could use METTL2A antibodies to isolate the active enzyme at different time points, followed by HAC-Seq to quantify modification levels on specific tRNA species.
Co-immunoprecipitation (Co-IP) experiments using METTL2A antibodies can reveal interactions with other tRNA modification enzymes or regulatory proteins. While METTL2A does not directly interact with SerRS (seryl-tRNA synthetase), which is required for METTL6-mediated modifications, it may participate in larger complexes with other tRNA processing enzymes . When designing Co-IP experiments, researchers should consider both stable and transient interactions that may occur during tRNA modification processes.
Sequential immunoprecipitation (IP) approaches can be particularly valuable for studying the coordination between different modification enzymes. For instance, researchers can first IP with METTL2A antibodies to capture METTL2A-bound tRNAs, then perform a second IP with antibodies against t6A37 modification enzymes to identify tRNAs that undergo both modifications. This approach can help elucidate the sequential order of modifications, as research has shown that t6A37 modification is a prerequisite for METTL2A-mediated m3C32 modification .
The combined use of antibodies against METTL2A, METTL2B, and METTL6 in comparative IP experiments can provide insights into their overlapping and distinct functions. Research has demonstrated that these enzymes have different substrate specificities but can sometimes modify the same tRNA species through different mechanisms . When interpreting results from such experiments, researchers should consider the known differences in enzymatic activity, with METTL2B showing approximately 1/10 the activity of METTL2A in vitro .
METTL2A antibodies can be employed in ribosome profiling experiments to investigate how METTL2A-mediated tRNA modifications affect translation efficiency of specific mRNAs. Research has demonstrated that METTL2A/B/METTL6-deficient cells exhibit altered translation of genes related to cell cycle and DNA repair pathways, particularly those enriched in AGU codons that require m3C32-modified tRNA-Ser-GCT for efficient translation . By depleting METTL2A through antibody-mediated approaches (such as intracellular antibody delivery or degron tags) and performing ribosome profiling, researchers can directly observe translational changes.
Another approach involves combining METTL2A immunoprecipitation with polysome profiling to identify mRNAs whose translation is dependent on METTL2A-modified tRNAs. In this experimental design, researchers can fractionate polysomes from wild-type and METTL2A-depleted cells, then analyze the distribution of specific mRNAs across the polysome profile. mRNAs that shift from heavy to light polysome fractions upon METTL2A depletion likely depend on METTL2A-modified tRNAs for efficient translation.
When interpreting results from these experiments, researchers should focus on mRNAs with biased codon usage, particularly those enriched in codons corresponding to METTL2A-modified tRNAs. This codon bias analysis can help identify direct translational targets of METTL2A-mediated tRNA modifications versus secondary effects of METTL2A depletion.
Non-specific binding with METTL2A antibodies often stems from cross-reactivity with METTL2B due to their high sequence similarity. The key residues that distinguish METTL2A from METTL2B are Arg26 (vs Ser26), Pro124 (vs Cys124), and Leu155 (vs Pro155) . To minimize cross-reactivity, researchers should select antibodies specifically raised against peptide regions containing these distinguishing residues. When troubleshooting non-specific binding, perform validation experiments with recombinant METTL2A and METTL2B proteins to assess cross-reactivity directly.
Another common source of non-specific binding is the recognition of endogenous immunoglobulins during secondary antibody incubation. This issue can be addressed by using primary antibodies from species different from the experimental sample (e.g., rabbit antibodies for human samples) and by including appropriate blocking steps with species-specific serum or commercially available blocking reagents. Additionally, pre-clearing lysates with protein A/G beads before immunoprecipitation can reduce non-specific background.
Detecting low-abundance METTL2A requires optimized experimental approaches. For Western blot detection, consider using enhanced chemiluminescence (ECL) substrates with higher sensitivity or fluorescent secondary antibodies with quantitative imaging systems. Signal amplification methods, such as biotin-streptavidin systems, can also enhance detection of low-abundance proteins. Additionally, concentrate protein samples through immunoprecipitation before Western blot analysis to increase METTL2A concentration relative to total protein content.
For immunofluorescence detection of low-abundance METTL2A, tyramide signal amplification (TSA) can significantly enhance sensitivity. This approach involves using horseradish peroxidase (HRP)-conjugated secondary antibodies and fluorescent tyramide substrates, which create covalent bonds with tyrosine residues near the antibody binding site, thereby amplifying the signal. When implementing TSA, carefully optimize incubation times to prevent over-amplification and background signals.
Expression levels of METTL2A may vary across cell types and physiological conditions. Research has confirmed that both METTL2A and METTL2B are expressed in HEK293T cells through mass spectrometry detection of specific peptides . When studying cell types with potentially lower METTL2A expression, consider comparing relative expression levels across multiple cell lines to establish appropriate positive controls for antibody validation and protocol optimization.
Distinguishing between functional and non-functional METTL2A requires complementary approaches beyond mere protein detection. Research has identified specific amino acid residues critical for METTL2A function, particularly in the catalytic domain. Mutations in these residues can dramatically reduce enzymatic activity without affecting protein expression . To assess functionality, combine antibody-based protein detection with activity assays that measure m3C32 modification of tRNA substrates.
One effective strategy involves immunoprecipitating METTL2A with specific antibodies, then performing in vitro methyltransferase assays using purified tRNA substrates and S-adenosyl methionine (SAM) as the methyl donor. Functional METTL2A will catalyze m3C32 modification, which can be detected through methods such as liquid chromatography-tandem mass spectrometry (LC-MS/MS) . When implementing this approach, use appropriate positive controls, such as recombinant wild-type METTL2A, alongside negative controls with catalytically inactive METTL2A mutants.
Another approach involves studying the interaction between METTL2A and its tRNA substrates through techniques like RNA electrophoretic mobility shift assays (EMSAs) after immunoprecipitation. Functional METTL2A should demonstrate specific binding to tRNA-Thr and tRNA-Arg substrates, particularly those containing G35 and t6A37 modifications . By comparing binding profiles of METTL2A immunoprecipitated from different cellular contexts, researchers can infer functionality based on substrate interaction patterns.
METTL2A antibodies enable investigation of the relationship between m3C32 tRNA modifications and cancer phenotypes through immunohistochemistry (IHC) analysis of patient samples. Research has demonstrated that METTL2A/B/METTL6-deficient cells exhibit altered translation of genes related to cell cycle and DNA repair pathways, resulting in slowed proliferation and increased sensitivity to cisplatin, a common chemotherapeutic agent . By quantifying METTL2A expression in tumor versus normal tissues through IHC, researchers can identify potential correlations between METTL2A levels and cancer progression or treatment response.
For mechanistic studies, METTL2A antibodies can be used in chromatin immunoprecipitation followed by sequencing (ChIP-seq) experiments to identify potential transcriptional targets of METTL2A in cancer cells. While METTL2A primarily functions in tRNA modification, it may have additional roles in regulating gene expression through interactions with chromatin or transcription factors. This approach can reveal unexpected functions of METTL2A beyond its canonical role in epitranscriptomic regulation.
When interpreting results from cancer-related studies, researchers should consider the interplay between METTL2A and other tRNA modification enzymes. The combinatorial effects of METTL2A/B and METTL6 on tRNA-Ser-GCT modification suggest that comprehensive analysis of multiple modification enzymes may be necessary to fully understand their impact on cancer phenotypes . Multi-antibody approaches that simultaneously assess METTL2A, METTL2B, and METTL6 expression patterns could provide more complete insights into the epitranscriptomic landscape of cancer cells.
To study METTL2A's role in cellular stress responses, researchers can use METTL2A antibodies in time-course immunoprecipitation experiments following stress induction. This approach allows tracking of changes in METTL2A-tRNA interactions under stress conditions. Research has shown that m3C32 tRNA modifications affect translation of specific mRNAs, particularly those involved in cell cycle and DNA repair pathways . By immunoprecipitating METTL2A at different time points after stress exposure (e.g., DNA damage, oxidative stress, or nutrient deprivation), researchers can identify dynamic changes in METTL2A-tRNA associations.
A complementary approach involves subcellular fractionation followed by immunoblotting with METTL2A antibodies to track potential stress-induced relocalization. While METTL2A is primarily cytoplasmic under normal conditions , stress might trigger relocalization to specific cytoplasmic compartments, such as stress granules or processing bodies. Combining fractionation with co-immunostaining for stress granule markers can reveal whether METTL2A participates in stress-induced RNA regulation through compartmentalization.
For functional studies, researchers can use CRISPR-Cas9 to introduce specific mutations in METTL2A, then validate the mutant protein expression using antibodies before assessing stress response phenotypes. Research has identified several METTL2A mutants (N193A, F214A, R302A, N312A, R354A, and R362A) that express at levels comparable to wild-type METTL2A . By creating cell lines with these mutations and challenging them with stressors like cisplatin, researchers can correlate specific METTL2A functions with stress response outcomes.
Quantitative immunoblotting comparing the relative expression levels of these three enzymes across different cell types or tissue samples can provide insights into potential tissue-specific roles. This approach can be complemented with RNA immunoprecipitation followed by sequencing (RIP-seq) using antibodies against each enzyme to map their tRNA substratomes comprehensively. When performing these experiments, researchers should consider the lower enzymatic activity of METTL2B compared to METTL2A (approximately 1/10 of the activity) , which may affect the interpretation of relative abundance versus functional impact.
For investigating protein complex formation, researchers can perform reciprocal co-immunoprecipitation experiments using antibodies against each enzyme, followed by mass spectrometry analysis to identify shared and unique interaction partners. This approach can reveal whether these enzymes function independently or as part of larger multiprotein complexes in different cellular contexts. When designing these experiments, consider that METTL6 requires SerRS for its activity but does not directly bind it , suggesting potential indirect interactions through shared substrates or cofactors.
Proximity labeling techniques such as BioID or APEX2, when fused to METTL2A, can provide comprehensive insights into its protein interaction network. After generating cells expressing METTL2A-BioID/APEX2 fusion proteins, researchers can validate proper fusion protein expression and localization using METTL2A antibodies before proceeding with proximity labeling experiments. This validation step is crucial because fusion proteins might exhibit altered localization or activity compared to native METTL2A, which is known to function as a monomeric protein in the cytoplasm .
Following proximity labeling and streptavidin pulldown of biotinylated proteins, METTL2A antibodies can be used in Western blot analysis to confirm the presence of METTL2A itself in the pulled-down fraction, serving as a positive control. Additionally, researchers can perform reciprocal co-immunoprecipitation experiments with antibodies against newly identified interaction partners to validate specific interactions. When interpreting proximity labeling results, consider METTL2A's known role in modifying specific tRNAs, particularly those requiring G35 and t6A37 for recognition .
For functional validation of novel interactors, researchers can use CRISPR-Cas9 to knock out identified partner proteins, then assess the impact on METTL2A-mediated tRNA modification through techniques like HAC-Seq . If the interaction is functionally relevant, partner protein knockout should affect m3C32 modification patterns on METTL2A-specific tRNA substrates. This approach can reveal new regulators or cofactors of METTL2A that influence its substrate specificity or enzymatic activity.
Developing conformation-specific antibodies that distinguish active from inactive METTL2A requires strategic epitope selection based on structural changes associated with enzymatic activity. Research has identified several amino acid residues critical for METTL2A function, including those that differentiate it from the less active METTL2B (Arg26, Pro124, and Leu155) . These residues and surrounding regions might undergo conformational changes during substrate binding or catalysis, making them potential targets for conformation-specific antibodies.
One approach involves immunizing animals with METTL2A protein locked in specific conformational states through chemical crosslinking or co-crystallization with substrate analogs or cofactors. For instance, METTL2A bound to S-adenosyl methionine (SAM) might adopt a distinct conformation compared to the apo-enzyme. Alternatively, researchers can design peptides that mimic the conformation of specific METTL2A regions in the active state, then use these peptides as immunogens.
To validate conformation-specific antibodies, researchers can perform comparative immunoprecipitation experiments using wild-type METTL2A and catalytically inactive mutants. True conformation-specific antibodies should preferentially recognize the active conformation and show reduced binding to inactive mutants. Additionally, researchers can test antibody recognition under conditions that affect enzyme activity, such as varying SAM concentrations or introducing substrate tRNAs that contain or lack the critical G35 and t6A37 modifications required for METTL2A activity .
Single-cell analysis of METTL2A expression and function can provide insights into cell-to-cell heterogeneity in tRNA modification patterns. For cytometry-based approaches, researchers can use fluorescently labeled METTL2A antibodies to quantify METTL2A protein levels in individual cells, potentially revealing subpopulations with distinct METTL2A expression patterns. This approach can be combined with cell cycle markers to investigate whether METTL2A expression fluctuates during cell cycle progression, which would be relevant given its role in modifying tRNAs that translate mRNAs involved in cell cycle regulation .
For more comprehensive analysis, researchers can adapt single-cell RNA sequencing (scRNA-seq) methods to detect tRNA modifications by first performing METTL2A immunoprecipitation to enrich for METTL2A-bound tRNAs, then proceeding with single-cell isolation and sequencing. While technically challenging, this approach could reveal cell-to-cell variation in METTL2A-tRNA interactions and potentially identify rare cell populations with distinct modification patterns.
Another innovative approach involves combining imaging mass cytometry with METTL2A antibodies to map METTL2A expression patterns within tissues while preserving spatial information. This technique uses metal-labeled antibodies and laser ablation coupled with mass spectrometry to provide high-dimensional protein expression data with single-cell resolution and spatial context. For such experiments, validate metal-labeled METTL2A antibodies against conventional immunofluorescence to ensure comparable specificity and sensitivity.