The METTL25B gene, associated with the RRNAD1 protein, is located in humans and encodes a methyltransferase-like protein. Methyltransferases are enzymes that transfer methyl groups to various substrates, including nucleic acids, proteins, and lipids. These enzymes play crucial roles in cellular processes such as gene expression regulation, protein function modification, and RNA stability .
While specific research on Recombinant Human Protein RRNAD1 is limited, studies on related proteins and genes provide valuable insights into their potential functions and roles in cellular biology.
Methyltransferase-like proteins, including those encoded by METTL genes, have been studied for their roles in RNA modification and other cellular processes. These proteins are involved in adding methyl groups to RNA, which can affect RNA stability, localization, and translation efficiency .
Recombinant proteins are often used in research and biotechnology for studying protein function, developing therapeutic agents, and understanding disease mechanisms. While specific applications for Recombinant Human Protein RRNAD1 are not well-documented, its association with methyltransferase activity suggests potential roles in RNA modification and regulation.
Given the limited specific data on Recombinant Human Protein RRNAD1, we can consider broader information related to METTL25B and similar proteins:
| Category | Description | Relevance to RRNAD1 |
|---|---|---|
| Gene ID | 51093 | Encodes RRNAD1 protein |
| Organism | Homo sapiens | Human-specific protein |
| Function | Methyltransferase-like | Potential role in RNA modification |
RRNAD1 (Ribosomal RNA adenine dimethylase domain containing 1) is a 475 amino acid human protein that belongs to the RRNAD1 family . Based on its domain structure, RRNAD1 likely functions as a methyltransferase involved in the dimethylation of adenine residues in ribosomal RNA. This post-transcriptional modification is critical for proper ribosome biogenesis and function, potentially affecting translation efficiency and fidelity. The protein contains specific domains that catalyze the transfer of methyl groups to their RNA substrates, contributing to the complex landscape of RNA modifications that regulate cellular processes.
STRING database analysis reveals several predicted functional partners of RRNAD1, predominantly consisting of other methyltransferases with varying interaction confidence scores . The primary interaction partners include:
| Protein | Description | Interaction Score |
|---|---|---|
| METTL17 | Methyltransferase-like protein 17, mitochondrial | 0.594 |
| METTL9 | Methyltransferase-like protein 9 | 0.529 |
| EEF1AKNMT | eEF1A lysine and N-terminal methyltransferase | 0.492 |
| CSKMT | Citrate synthase-lysine N-methyltransferase, mitochondrial | 0.489 |
| METTL11B | Alpha N-terminal protein methyltransferase 1B | 0.484 |
| METTL26 | Methyltransferase like 26 | 0.476 |
These interactions suggest RRNAD1 may function within a network of methyltransferases that collectively regulate RNA processing and protein translation through various modification mechanisms .
Protein aggregation represents a significant challenge in recombinant protein production. For RRNAD1 and similar methyltransferases, several strategies can minimize aggregation:
Osmotic shock application: Studies have demonstrated that applying osmotic shock through the addition of high concentrations of sucrose significantly improves soluble protein production and enzymatic activity . This approach triggers global stress responses that enhance protein folding machinery.
Promoter optimization: Implementing physiologically-regulated promoters, particularly those regulated under σ factors, has shown improved production of soluble, active recombinant proteins .
Temperature modification: Lower expression temperatures (16-18°C) slow protein synthesis, allowing more time for proper folding.
Co-expression strategies: While studies show that overexpression of individual chaperones may not significantly impact certain recombinant proteins , a systematic approach testing different chaperone combinations may be beneficial for RRNAD1.
Fusion protein approaches: N-terminal fusion tags like MBP (maltose-binding protein) or SUMO can enhance solubility.
Notably, research indicates that general stress responses induced by osmotic shock may be more effective than the overexpression of individual chaperones for certain recombinant proteins .
For characterizing RRNAD1's methyltransferase activity, several complementary approaches can be employed:
Radiometric assays:
Measure transfer of [³H]-methyl or [¹⁴C]-methyl groups from S-adenosylmethionine (SAM) to substrate RNA
Quantify incorporation through scintillation counting after precipitation or filtration
Advantages include high sensitivity and direct measurement of enzymatic activity
Antibody-based detection:
Use of antibodies specific to N6-methyladenine (m6A) in immunoblotting
ELISA-based approaches for quantitative assessment
Immunoprecipitation followed by RNA sequencing to identify modification sites
Mass spectrometry:
LC-MS/MS analysis of nucleosides after enzymatic digestion of RNA
Can provide both qualitative and quantitative data on methylation patterns
Enables precise identification of modification sites
Coupled enzyme assays:
Detection of S-adenosylhomocysteine (SAH) produced during methylation
Use of MTases (methyltransferases) coupled to detection systems
When designing these assays, researchers should consider using appropriate controls, including catalytically inactive RRNAD1 mutants created through site-directed mutagenesis of predicted active site residues.
Determining the substrate specificity of RRNAD1 requires a multifaceted approach:
In vitro substrate screening:
Test methylation activity on different RNA substrates (tRNA, rRNA fragments, mRNAs)
Use synthetic oligonucleotides with defined sequences to map recognition motifs
Apply systematic mutagenesis of potential substrate sequences to identify critical recognition elements
RNA immunoprecipitation (RIP):
Use anti-RRNAD1 antibodies to immunoprecipitate RRNAD1-RNA complexes
Analyze bound RNAs through sequencing to identify potential in vivo substrates
Compare results from wild-type and catalytically inactive RRNAD1 variants
Transcriptome-wide mapping:
Employ techniques like MeRIP-seq (Methylated RNA Immunoprecipitation Sequencing)
Compare methylation patterns in RRNAD1-overexpressing and RRNAD1-depleted cells
Bioinformatic analysis to identify consensus sequences or structural motifs
Cross-linking studies:
UV-crosslinking followed by immunoprecipitation and sequencing (CLIP-seq)
Identifies direct RNA-protein interactions in cellular contexts
Can reveal binding preferences and interaction kinetics
These approaches should be used complementarily, as in vitro preferences may differ from physiological substrate selection in the cellular environment.
Directed evolution represents a powerful approach for enhancing enzymatic properties of RRNAD1. Based on recent advances in ribosomal RNA engineering, similar strategies could be applied:
Library generation methods:
Error-prone PCR to introduce random mutations throughout the RRNAD1 coding sequence
Site-saturation mutagenesis targeting the catalytic domain
DNA shuffling with related methyltransferase domains
CRISPR-Cas9 based approaches for targeted diversification
Selection systems:
Screening strategies:
High-throughput activity assays using fluorescent or luminescent readouts
In vivo selection systems where improved RRNAD1 function confers growth advantage
Competitive growth assays under stress conditions where RNA modification provides benefit
Iterative improvement:
Apply multiple rounds of mutation and selection
Combine beneficial mutations from different rounds
Test mutant combinations for synergistic effects
This approach has proven successful for evolving rRNA sequences that show improved translation rates and protein yields , suggesting similar approaches could enhance RRNAD1's catalytic efficiency, substrate specificity, or stability.
RRNAD1's function as a ribosomal RNA methyltransferase suggests it may play significant roles in translation regulation:
Translation rate effects:
Experimental approaches to assess translation impacts:
Ribosome profiling comparing wild-type, RRNAD1-overexpressing, and RRNAD1-depleted cells
In vitro translation assays with differentially modified ribosomes
Polysome profiling to assess global translation efficiency changes
Single-molecule approaches to measure translation kinetics on individual mRNAs
Potential regulatory mechanisms:
Condition-specific activation of RRNAD1 could modulate translation rates under stress
Differential methylation patterns might affect specific subsets of mRNAs
Integration with other translation regulatory pathways
Evolutionary considerations:
Conservation analysis of RRNAD1 targets across species
Comparison with other RNA modification systems
Assessment of ribosome heterogeneity in different cellular states
Research on directed evolution of rRNAs has demonstrated that modifications to ribosomal components can significantly impact translation kinetics and protein yield while having modest effects on translational fidelity , suggesting RRNAD1-mediated modifications could have similar regulatory roles.
Poor expression yields represent a common challenge in recombinant protein production. For RRNAD1, several targeted approaches can be implemented:
Strain engineering:
Use specialized E. coli strains with deletions in factors that inhibit ribosome activity
Deletion of ribosome hibernation promoting factor (HPF) has shown 3400-fold improvement in specific protein expression systems
Consider K. marxianus strains with CYR1 mutations that simultaneously enhance thermotolerance and recombinant protein production
Culture optimization:
Vector design improvements:
Post-expression considerations:
Adapt protein extraction methods based on cellular localization
Optimize lysis conditions to minimize protein degradation
Consider mild detergents for membrane-associated fractions
Comprehensive optimization may require combining multiple approaches and systematic testing of conditions specific to RRNAD1's biochemical properties.
Loss of enzymatic activity during purification is a significant concern for methyltransferases like RRNAD1. A systematic troubleshooting approach should include:
Buffer optimization:
Test various pH conditions spanning pH 6.0-9.0
Evaluate different ionic strengths (50-500 mM NaCl)
Include stabilizing agents like glycerol (10-20%) or specific sugars
Add reducing agents (DTT, β-mercaptoethanol) to maintain cysteine residues
Co-factor considerations:
Ensure presence of essential co-factors like S-adenosylmethionine (SAM) during activity assays
Consider including co-factors at low concentrations during purification
Test the addition of divalent metal ions (Mg²⁺, Mn²⁺, Zn²⁺) that might be required for activity
Protein quality assessment:
Analyze protein homogeneity using size exclusion chromatography
Assess proper folding using circular dichroism spectroscopy
Verify intact primary structure using mass spectrometry
Check for post-translational modifications that might impact activity
Storage optimization:
Test activity retention at different storage temperatures (-80°C, -20°C, 4°C)
Evaluate flash-freezing versus slow cooling
Consider lyophilization with appropriate cryoprotectants
Test activity after multiple freeze-thaw cycles to establish handling guidelines
For each optimization step, quantitative activity assays should be performed to identify conditions that maximize RRNAD1 functionality and stability.
RRNAD1's potential role in RNA modification positions it as a significant player in epitranscriptomics:
Mapping the RRNAD1 methylome:
Comprehensive identification of all RRNAD1 methylation targets
Development of targeted sequencing approaches specific for RRNAD1-mediated modifications
Integration of these data with other epitranscriptomic marks to build regulatory networks
Functional consequences of adenine methylation:
Impact on RNA secondary structure and stability
Effects on protein-RNA interactions
Consequences for translation efficiency and accuracy
Potential regulatory roles in stress response pathways
Integration with other RNA modification systems:
Crosstalk between different RNA methyltransferases
Coordinated regulation of modification patterns
Competition or cooperation at shared target sites
Context-specific functions:
Tissue-specific roles of RRNAD1-mediated methylation
Developmental regulation of RRNAD1 activity
Response to cellular stresses and environmental conditions
These investigations would contribute to the broader understanding of how complex RNA modification patterns regulate gene expression beyond the genetic code.
Research on RRNAD1 could provide valuable insights into ribosome heterogeneity:
Specialized ribosomes concept:
RRNAD1-modified ribosomes might form a specialized subset with distinct functional properties
Differential modification patterns could create ribosomes optimized for specific mRNA subsets
Such specialization could contribute to translational regulation beyond global control mechanisms
Developmental and tissue-specific aspects:
Investigate whether RRNAD1 activity varies across tissues or developmental stages
Correlate modification patterns with tissue-specific translation requirements
Map the temporal dynamics of ribosome modification during cellular differentiation
Integration with ribosome biogenesis:
Determine when during ribosome assembly RRNAD1 acts
Identify whether RRNAD1 activity is regulated during ribosome production
Assess competition or cooperation with other ribosome modification enzymes
Disease relevance:
Explore whether altered RRNAD1 function contributes to diseases with ribosome dysfunction
Investigate connections to ribosomopathies or cancer
Assess potential as a therapeutic target or biomarker
This research direction aligns with emerging evidence that ribosome composition is not static but represents an additional layer of gene expression regulation that adapts to cellular needs.