The Mono-methyl-HIST1H2BC (K116) Antibody is a research-grade antibody designed to detect the mono-methylation of lysine 116 (K116) on the histone H2B variant HIST1H2BC. Histones are core nucleosomal proteins that regulate DNA accessibility, and post-translational modifications like methylation at specific residues (e.g., K116) influence chromatin structure, gene expression, and cellular processes such as DNA repair and replication .
HIST1H2BC is part of the histone H2B family and plays a role in chromatin remodeling and antimicrobial defense. Mono-methylation at K116 is a key epigenetic modification that may influence histone interactions with chromatin-modifying enzymes .
Detection: Binds to endogenous mono-methylated HIST1H2BC in human cell lysates (e.g., HeLa, 293, K562) and tissues (e.g., mouse liver, rat pancreas) .
Band Size: Observed at ~14 kDa, consistent with the predicted molecular weight .
Controls: Negative results using PBS instead of primary antibody confirm specificity .
Tissue Staining: Nucleus-specific staining in paraffin-embedded mouse liver and rat pancreas .
Protocol: Heat-mediated antigen retrieval with Tris/EDTA buffer (pH 9.0) enhances signal .
ELISA: Used for quantitative detection of methylated HIST1H2BC in lysates .
ICC/IF: Fluorescent detection in fixed cells, compatible with conjugated variants (e.g., AF488, AF594) .
Cross-Reactivity: Limited data on off-target binding, but supplier protocols emphasize specificity for K116 mono-methylation .
Comparison to Other Antibodies:
Supplier | Clonality | Reactivity | Conjugates |
---|---|---|---|
Assay Genie | Polyclonal | Human | Unconjugated |
Abcam | Monoclonal | Human, Mouse, Rat | BSA/azide-free |
SAB | Monoclonal | Human, Mouse, Rat | Biotin, AF350–AF750 |
Mono-methylation of histone H2B at lysine 116 (K116) represents an important post-translational modification involved in chromatin structure regulation. This specific modification influences DNA accessibility to cellular machinery requiring DNA as a template. Histone H2B serves as a core component of nucleosomes, which wrap and compact DNA into chromatin. The mono-methylation at K116 participates in the complex "histone code" that regulates transcription, DNA repair, replication, and chromosomal stability . Beyond its nuclear functions, histone H2B has demonstrated broad antibacterial activity and may contribute to the formation of functional antimicrobial barriers in colonic epithelium and amniotic fluid .
The Anti-Histone H2B (mono methyl K116) antibody is a highly specific tool for detecting a single post-translational modification. Unlike some histone antibodies that show significant cross-reactivity with multiple modifications, properly validated mono methyl K116 antibodies demonstrate high specificity in peptide array testing. For example, when tested against 501 different modified and unmodified histone peptides, the EPR17700 clone shows specific binding to its target epitope . This specificity contrasts with some other histone antibodies that may exhibit cross-reactivity with different modifications, such as antibody #5 directed against H3K4me3 that shows weak binding to peptides containing H3T3ph and cross-reactivity with H4K20me3 .
The Anti-Histone H2B (mono methyl K116) antibody demonstrates versatility across multiple experimental platforms. It has been validated for:
Western blotting (WB): Successfully detects a 14 kDa band in whole cell lysates from multiple species
Immunocytochemistry/Immunofluorescence (ICC/IF): Produces clear nuclear staining in fixed and permeabilized cells
Peptide arrays (PepArr): Shows specific binding in high-throughput peptide screening
Immunohistochemistry on paraffin-embedded sections (IHC-P): Effective for tissue section analysis
The antibody has demonstrated reactivity with human, mouse, and rat samples, making it valuable for comparative studies across species . When using this antibody for Western blotting, researchers should note that signal intensity may vary between cell types, with some cell lines (like HeLa) showing weaker signals than others (like NIH/3T3) .
Thorough validation of antibody specificity is crucial for accurate interpretation of histone modification studies. A comprehensive validation approach should include:
Peptide competition assays: Pre-incubate the antibody with increasing concentrations of the specific mono-methylated K116 peptide before application to your samples. A specific antibody will show diminished signal when pre-bound to its target epitope.
Peptide array analysis: Test antibody binding against a panel of modified and unmodified histone peptides. As demonstrated with the EPR17700 clone, this approach can reveal both specific binding to the target and any potential cross-reactivity .
Genetic validation: Use cell lines with mutations in methyltransferases responsible for H2B K116 mono-methylation or employ CRISPR/Cas9 to modify the K116 residue to arginine (which cannot be methylated).
Mass spectrometry correlation: Compare antibody-based detection methods with mass spectrometry analysis of histone modifications to confirm specificity.
Positive and negative controls: Include samples with known high and low levels of H2B K116 mono-methylation in each experiment, similar to the stronger signals observed in NIH/3T3 cells compared to HeLa cells .
Optimization strategies vary by experimental application:
For Western blotting:
Use 5% BSA/TBST as blocking and dilution buffer to minimize background
Recommended dilution: 1/5000
Load approximately 10 μg of whole cell lysate per lane
Use enhanced chemiluminescence (ECL) detection with sensitivity adjusted to sample type (higher sensitivity may be required for samples with lower expression)
For Immunofluorescence:
Fix cells with 4% paraformaldehyde
Permeabilize with 0.1% Triton X-100
Recommended dilution: 1/2000
Include appropriate nuclear counterstain (e.g., DAPI)
For Immunohistochemistry:
Perform heat-mediated antigen retrieval with Tris/EDTA buffer (pH 9.0)
Recommended dilution: 1/2000
Counter-stain with hematoxylin for context
Include negative controls (primary antibody substituted with PBS)
The presence of modifications on residues adjacent to or near K116 can significantly impact antibody recognition. This epitope occlusion phenomenon has been documented with various histone antibodies. For example, antibody #5 directed against H3K4me3 shows weak binding when H3T3ph is present (false negatives) .
When investigating mono-methyl-H2B K116, consider these approaches:
Utilize peptide arrays containing combination modifications to test for potential epitope occlusion
Employ sequential immunoprecipitation with antibodies against different modifications
Consider mass spectrometry analysis to identify co-occurring modifications
Compare results from different antibody clones that may have different sensitivities to adjacent modifications
Adjacent modifications can lead to both false negatives (when the modification prevents antibody binding) and false positives (when the antibody cross-reacts with similar modifications) . This underscores the importance of comprehensive validation and control experiments.
Optimal sample preparation is crucial for accurate detection of histone modifications:
Histone extraction protocols:
Use specialized histone extraction buffers containing histone deacetylase and demethylase inhibitors
For acid extraction, use 0.2N HCl or 0.4N H₂SO₄ to efficiently extract histones
For whole cell lysates, include inhibitors of proteases and phosphatases
Preservation of modifications:
Add modification-preserving agents: sodium butyrate (10 mM) for acetylation, sodium fluoride (5-10 mM) for phosphorylation
Process samples quickly and maintain cold temperatures throughout
For tissue samples, snap-freeze immediately after collection
Buffer considerations:
Control samples:
When encountering signal issues, consider these troubleshooting approaches:
For weak signals:
Decrease antibody dilution while monitoring background
Extend primary antibody incubation time (overnight at 4°C)
Use more sensitive detection systems (5-fold more sensitive ECL substrate may be required for some samples)
Increase protein loading (while ensuring even loading with control antibodies)
Verify preservation of modifications during sample preparation
For non-specific signals:
Increase antibody dilution to reduce background (test serial dilutions)
Include additional washing steps with increased stringency
Pre-adsorb antibody with non-specific proteins
Confirm specificity with peptide competition assays
For inconsistent results:
Standardize cell culture conditions (passage number, confluence)
Control for cell cycle effects (synchronize cells if necessary)
Verify antibody storage conditions and avoid repeated freeze-thaw cycles
Include internal controls in each experiment
Consider batch effects from antibody lots
Several quantitative approaches can be employed for analyzing mono-methyl-H2B K116 levels:
Western blot densitometry:
Normalize signal to total H2B levels
Use linear range of detection for quantification
Include standard curves with known quantities when possible
Employ software that corrects for background and saturation
Quantitative immunofluorescence:
Measure nuclear fluorescence intensity using appropriate imaging software
Normalize to DAPI or total H2B signal
Establish consistent threshold settings across experiments
Analyze sufficient cell numbers for statistical validity (n > 100)
ChIP-seq or CUT&RUN:
Quantify genome-wide distribution of mono-methyl-H2B K116
Normalize to input and total H2B ChIP
Use appropriate peak calling algorithms
Validate findings at selected loci with ChIP-qPCR
Mass spectrometry:
Provides absolute quantification of modification levels
Can identify co-occurring modifications
Requires specialized equipment and expertise
Offers unbiased detection independent of antibody specificity
Variations in mono-methyl-H2B K116 levels between cell types, as observed between NIH/3T3 and HeLa cells , may reflect important biological differences:
Cell type-specific epigenetic programming:
Different cell types maintain distinct epigenetic landscapes
Variations may correspond to cell-specific transcriptional programs
Consider developmental origins and differentiation state of cell types
Methodological considerations:
Verify that differences are not due to technical variables (extraction efficiency, etc.)
Confirm findings with multiple detection methods
Normalize to appropriate controls (total H2B, other stable references)
Biological interpretation approaches:
Correlate modification levels with gene expression data
Map genome-wide distribution using ChIP-seq
Analyze co-occurrence with other histone marks
Investigate enzymatic machinery (writers, erasers, readers) expression
Experimental validation:
Manipulate levels using genetic or pharmacological approaches
Assess functional consequences of alteration
Investigate during differentiation or in response to stimuli
Understanding the interplay between mono-methyl-H2B K116 and other modifications requires comprehensive analysis:
Co-occurrence patterns:
Multiple modifications may exist simultaneously on the same or adjacent nucleosomes
Some modifications may be mutually exclusive while others co-occur
Sequential ChIP or mass spectrometry can identify co-occurrences
Functional relationships:
Primary modifications may facilitate or inhibit subsequent modifications
Some modifications function as docking sites for effector proteins
Others may directly influence chromatin structure
Cross-talk with DNA methylation:
Investigate correlation between H2B K116me1 and DNA methylation patterns
Examine relationship with CpG islands and gene regulatory elements
Data analysis approaches:
Generate heatmaps of modification co-occurrence
Conduct principal component analysis of multiple modifications
Develop predictive models of modification patterns
Compare with publicly available datasets for other cell types
Integration of mono-methyl-H2B K116 data with other genomic information provides comprehensive insights:
Data integration strategies:
Data Type | Integration Approach | Analysis Method | Visualization |
---|---|---|---|
RNA-seq | Correlate modification with gene expression | Linear regression, GSEA | Scatter plots, Heatmaps |
ChIP-seq (other marks) | Identify co-occurring modifications | Correlation analysis, ChromHMM | Browser tracks, Metaplots |
ATAC-seq | Associate with chromatin accessibility | Peak overlap analysis | Aggregation plots |
Hi-C/3C | Connect to 3D chromatin structure | Compartment analysis | Contact matrices |
DNA methylation | Examine relationship with DNA modification | Bivariate analysis | Composite plots |
Advanced computational approaches:
Machine learning algorithms to predict functional elements based on modification patterns
Network analysis to identify regulatory hubs
Integrative genomics viewer (IGV) for visualization of multiple data types
Regulatory circuit reconstruction using modification data as inputs
These integrative approaches help place mono-methyl-H2B K116 within the broader context of epigenetic regulation and gene expression control mechanisms.