Histone H3R8me2a refers to the asymmetric dimethylation of arginine 8 on histone H3. This post-translational modification plays significant roles in transcriptional regulation, particularly in:
Studies have shown that H3R8me2a is maintained by protein arginine methyltransferase 2 (PRMT2) . Genome-wide distribution analysis reveals that H3R8me2a is predominantly found at intragenic and intergenic regions, with approximately 13.71% located at promoters within ±3 kb from transcription start sites .
H3R8me2a antibodies are designed to specifically recognize the asymmetrically dimethylated arginine 8 of histone H3. These antibodies have been validated for multiple applications:
| Application | Typical Dilution/Amount | Notes |
|---|---|---|
| ChIP | 10 μl per ChIP | Used to identify genomic binding sites |
| ChIP-Seq | 10 μl each | For genome-wide mapping of H3R8me2a |
| Western Blot | 1:500 dilution | For detecting H3R8me2a levels in cell/tissue extracts |
| Immunofluorescence | Varies by protocol | For visualization in cellular contexts |
These antibodies are typically raised against peptides containing asymmetrically dimethylated Arg8 of human histone H3 .
PRMT2 has been identified as the primary enzyme responsible for maintaining H3R8me2a levels in vivo. Experimental evidence supporting this includes:
Knockdown of PRMT2 results in specific decrease of H3R8me2a levels as determined by Western blotting and immunofluorescence assays
ChIP-seq analysis in PRMT2-depleted cells shows significantly decreased enrichment of H3R8me2a compared to control cells
PRMT2 has been shown to exhibit H3R8me2a methylation activity in vitro using peptides or recombinant histones as substrates
While PRMT2 alone may not show strong activity in vitro, it is essential for maintaining H3R8me2a in cellular contexts .
ChIP-seq for H3R8me2a requires optimized protocols due to the specific nature of arginine methylation. Based on published methodologies:
Cross-linking and Sonication:
Standard formaldehyde cross-linking (1% for 10 minutes at room temperature)
Sonication to achieve fragments between 200-500 bp
Immunoprecipitation:
Washing and Elution:
Stringent washing conditions to reduce non-specific binding
Sequential elution to maximize recovery
Library Preparation and Sequencing:
Standard ChIP-seq library preparation with attention to depth (>20 million reads)
Include input controls and spike-in normalization when possible
The enrichment patterns should be validated against published H3R8me2a distributions, which show approximately 13.71% at promoters and the majority at intragenic or intergenic regions .
Rigorous validation of H3R8me2a antibodies is critical due to potential cross-reactivity with similar histone modifications. Recommended validation approaches include:
Peptide Competition Assays:
Pre-incubate antibody with H3R8me2a peptides before application
Include control peptides with other methylation states (H3R8me0, H3R8me1, H3R8me2s)
Peptide Array Analysis:
Evidence from peptide dot blot testing shows potential cross-reactivity that must be addressed:
| Peptide | Reactivity |
|---|---|
| H3 unmodified | - |
| H3R8me1 | - |
| H3R8me2s | + |
| H3R8me2a | +++ |
| H3K9me2 | + |
| H3K4me3 | - |
Some antibodies show cross-reactivity with H3K9me2 in peptide dot blot assays, requiring further optimization to minimize this in experimental applications .
Genetic Validation:
Mass Spectrometry Confirmation:
Validate immunoprecipitated material using mass spectrometry to confirm the presence of H3R8me2a
Distinguishing between asymmetric (H3R8me2a) and symmetric (H3R8me2s) dimethylation is crucial as they may have distinct biological functions:
Antibody Selection:
Use antibodies specifically raised against H3R8me2a or H3R8me2s epitopes
Validate antibody specificity using peptide arrays containing both modifications
Methyltransferase Assays:
Structural Binding Studies:
Mass Spectrometry:
Fragmentation patterns in MS/MS can differentiate between asymmetric and symmetric dimethylation
H3R8me2a operates within the context of the histone code, interacting with other modifications:
H3K4me3-H3R8me2a Dual Mark Recognition:
The Spin/Ssty repeat protein Spindlin1 specifically recognizes the dual cis-tail histone H3 methylation pattern involving H3K4me3 and H3R8me2a
Crystal structure analysis shows H3K4me3 is recognized by Spin/Ssty repeat 2, while H3R8me2a is recognized by repeat 1
Both marks are recognized using an "insertion cavity" recognition mode
Functional Implications:
Regulatory Cross-talk:
When designing ChIP experiments for H3R8me2a, the following controls are essential:
Input Control:
Reserve 5-10% of chromatin before immunoprecipitation to normalize for DNA quantity and quality variations
Antibody Controls:
IgG negative control to assess non-specific binding
Positive control antibody (e.g., H3K4me3) to verify ChIP success
Genetic Controls:
Peptide Controls:
Include peptide competition assays with H3R8me2a and other modified peptides
Genomic Region Controls:
Include primers for regions known to be enriched or depleted for H3R8me2a
Validate findings using secondary methods (e.g., CUT&RUN or CUT&Tag)
Generation of recombinant histones with specific modifications is valuable for controlled in vitro experiments:
Expressed Protein Ligation (EPL) Technology:
This technology enables generation of methylated, acetylated, or phosphorylated histones
The histone globular domain is ligated to a peptide containing the N-terminal histone tail with the desired site-specific modification
The ligation reaction maintains native histone bonds, creating recombinant proteins that closely mimic natural histones
Production Protocol:
Applications:
Nucleosome Reconstitution:
The relationship between PRMT2 and H3R8me2a levels shows cellular context dependence:
Cell Type Variations:
Enzymatic Activity:
Genomic Distribution:
Functional Implications:
When faced with contradictory H3R8me2a ChIP-seq results, consider these analytical approaches:
Antibody Specificity Assessment:
Cellular Context Considerations:
H3R8me2a distribution may vary between cell types
PRMT2 activity may be differentially regulated across cellular contexts
Compare PRMT2 expression levels across the cell types being studied
Technical Variability Analysis:
ChIP efficiency can vary between experiments
Normalize using appropriate controls (input, spike-in)
Consider using orthogonal approaches like CUT&RUN or CUT&Tag to validate findings
Bioinformatic Reanalysis:
Standardize peak calling parameters across datasets
Employ multiple normalization methods to identify robust signals
Analyze H3R8me2a in conjunction with other histone marks or transcription factors
Biological Validation:
Verify key findings using targeted ChIP-qPCR
Correlate with gene expression data
Perform genetic manipulation experiments (PRMT2 knockdown/knockout)
Several factors can influence the detection of H3R8me2a:
Antibody Quality and Batch Variation:
Different lots of antibodies may have varying specificities
Validate each new batch using peptide arrays or dot blots
Consider using monoclonal antibodies for increased reproducibility
Fixation and Chromatin Preparation:
Over-fixation can mask epitopes
Insufficient fixation can result in poor recovery
Optimize cross-linking conditions for arginine methylation detection
Sonication efficiency affects chromatin fragment size and accessibility
Cell Culture Conditions:
Cell density and growth phase can affect histone modification levels
Standardize culture conditions across experiments
Consider synchronizing cells when applicable
Technical Parameters:
Buffer compositions may affect antibody binding
Wash stringency influences specificity
Incubation times and temperatures should be optimized
DNA purification efficiency affects yield
Analysis Methods:
Peak calling algorithms may have different sensitivities
Sequencing depth affects detection of low-abundance marks
Background correction methods influence signal-to-noise ratios
Histone methyltransferase (HMT) assays for studying H3R8me2a should be designed with these considerations:
Standard HMT Assay Protocol:
Detection Methods:
Controls and Variations:
Include negative controls (no enzyme, catalytically dead enzyme)
Use histone H3 peptides with alanine substitutions at target residues
Compare wild-type and mutant enzymes
Titrate enzyme concentrations to determine linear range
Perform time-course experiments to assess kinetics
Data Analysis:
| Parameter | Measurement Method | Expected Outcome |
|---|---|---|
| Enzyme Activity | Quantification of 3H incorporation | Linear increase with enzyme concentration |
| Substrate Specificity | Comparison of different histone substrates | Higher activity on preferred substrates |
| Reaction Kinetics | Time-course analysis | Initial linear phase followed by plateau |
| Inhibition | Addition of inhibitors | Dose-dependent decrease in activity |
H3R8me2a contributes to histone code functionality through several mechanisms:
Dual Mark Recognition:
H3R8me2a works in conjunction with H3K4me3 to form a specific dual histone mark
This dual mark is recognized by Spindlin1 through its Spin/Ssty repeats
H3K4me3 is recognized by Spin/Ssty repeat 2, while H3R8me2a is recognized by repeat 1
Both modifications are recognized using an "insertion cavity" recognition mode
Structural Basis of Recognition:
Asymmetrically dimethylated R8 is inserted into pocket 1 of Spindlin1
There is a snug fit between the asymmetric dimethyl-guanidino group and the aromatic residues (W62, W72, Y91, Y98, and F251) lining pocket 1
R8me2a binding is facilitated by salt bridge formation with E64 and water-mediated hydrogen-bonding with Y98
This specific recognition contributes approximately 216 Ų of buried surface area
Signaling Pathway Integration:
Cross-regulation with Other Modifications:
The presence of H3R8me2a may affect the deposition or removal of adjacent modifications
This creates a complex regulatory network within the histone code
Identifying H3R8me2a-interacting proteins (readers) requires specialized approaches:
Peptide Pull-down Assays:
Synthesize biotinylated histone H3 peptides with R8me2a modification
Include unmodified and differently modified peptides as controls
Incubate with nuclear extracts
Capture with streptavidin beads
Identify bound proteins by mass spectrometry or western blotting
Structural Biology Approaches:
CRISPR-Based Screening:
Create a library of potential reader proteins for knockout
Assess changes in H3R8me2a-dependent processes
Validate hits using biochemical approaches
Proximity Labeling Methods:
Fusion of biotin ligase to modified nucleosomes containing H3R8me2a
Identification of proteins in close proximity to the modification
Comparison with control nucleosomes to identify specific interactors
Investigating the temporal dynamics of H3R8me2a requires specialized approaches:
Time-Course ChIP-seq:
Collect samples at multiple time points during cellular processes (differentiation, cell cycle, etc.)
Perform ChIP-seq for H3R8me2a at each time point
Analyze changes in genomic distribution patterns
Correlate with transcriptional changes
Live-Cell Imaging Approaches:
Develop specific reader domains fused to fluorescent proteins
Create systems for conditional expression or degradation of PRMT2
Monitor real-time changes in the localization of reader domains
Correlate with cellular events using additional markers
Single-Cell Epigenomics:
Apply single-cell ChIP-seq or CUT&Tag methods
Capture heterogeneity in H3R8me2a patterns across cell populations
Identify cell state transitions associated with changes in H3R8me2a
Mathematical Modeling:
Develop kinetic models of H3R8me2a deposition and removal
Integrate with data on PRMT2 activity and demethylase function
Predict temporal dynamics under different cellular conditions
Validate model predictions experimentally
These advanced methodological approaches provide researchers with comprehensive tools for investigating the complex roles of H3R8me2a in chromatin regulation and gene expression.