The antibody targets the 2-hydroxyisobutyryl group covalently attached to lysine 18 (K18) on histone H3.1, a core component of chromatin. Key features include:
Immunogen: Peptide sequence surrounding 2-hydroxyisobutyryl-Lys18 derived from human histone H3.1 (UniProt ID: P68431) .
Reactivity: Primarily validated for human samples, with cross-reactivity reported in rat models in some studies .
This antibody is optimized for diverse experimental workflows, including:
Specificity: Tested against peptides with acetyl, propionyl, and butyryl modifications at K18; no cross-reactivity reported .
Sensitivity: Detects modifications in lysates treated with sodium butyrate (30 mM, 4 hours) .
Predicted vs. Observed Band: 16 kDa (matches histone H3 size) .
Multiple vendors offer this antibody, with variations in reactivity, buffer, and pricing.
Metabolic Disorders: K18 2-hydroxyisobutyrylation is associated with metabolic stress and cardiovascular diseases .
Cancer: Linked to oncogenic pathways, including p53 regulation and tumor progression .
Chromatin Dynamics: Facilitates open chromatin states, promoting transcriptional activation .
Writers/Erasers: HDAC1/2 and SIRT deacetylases remove β-hydroxybutyrylation, though specific erasers for K18 remain uncharacterized .
Crosstalk with Other PTMs: Competes with acetylation at K18, influencing chromatin accessibility .
Histone H3.1 (HIST1H3A) is a core component of the nucleosome, a fundamental structural unit of chromatin. Nucleosomes package and compact DNA, thereby regulating DNA accessibility to cellular machinery involved in transcription, DNA repair, replication, and chromosomal stability. This regulation is achieved through a complex interplay of post-translational histone modifications, often referred to as the histone code, and nucleosome remodeling.
The following studies highlight the critical role of histone H3 modifications in various biological processes:
The 2-hydroxyisobutyryl-HIST1H3A (K18) Antibody is a primary polyclonal antibody that specifically recognizes and binds to the 2-hydroxyisobutyryl modification at lysine 18 of Histone H3.1 (HIST1H3A). This antibody enables researchers to study this specific post-translational modification in the context of epigenetic regulation .
Histone H3.1 is a core component of nucleosomes that wrap and compact DNA into chromatin, thereby limiting DNA accessibility to cellular machinery. This protein plays a central role in transcription regulation, DNA repair, DNA replication, and chromosomal stability .
The 2-hydroxyisobutyryl-HIST1H3A (K18) Antibody has the following specifications:
| Parameter | Specification |
|---|---|
| Antibody Type | Primary Antibody |
| Clonality | Polyclonal |
| Host | Rabbit |
| Reactivity | Human (Homo sapiens) |
| Isotype | IgG |
| Immunogen | Peptide sequence around site of 2-hydroxyisobutyryl-Lys (18) derived from Human Histone H3.1 |
| Accession Number | P68431 |
| Purification Method | Antigen affinity purified |
| Storage Buffer | 50% Glycerol, 0.01M PBS, pH 7.4 with 0.03% Proclin 300 as preservative |
These specifications are crucial for experimental planning and execution .
The 2-hydroxyisobutyryl-HIST1H3A (K18) Antibody has been validated for multiple experimental applications:
ELISA (Enzyme-Linked Immunosorbent Assay): Recommended dilution 1:2000-1:10000
WB (Western Blot): Recommended dilution 1:500-1:2000
ICC (Immunocytochemistry): Recommended dilution 1:20-1:200
IF (Immunofluorescence): Recommended dilution 1:20-1:200
ChIP (Chromatin Immunoprecipitation)
This versatility makes the antibody suitable for diverse experimental approaches in epigenetic research .
For optimal Western Blot results with the 2-hydroxyisobutyryl-HIST1H3A (K18) Antibody:
Sample preparation: Use whole cell lysates from human cell lines such as HeLa, Jurkat, HEK293, or HepG2.
Treatment considerations: Consider treating cells with 30mM sodium butyrate for 4 hours to enhance the histone modification signal.
Loading controls: Include appropriate loading controls for histone proteins.
Antibody dilution: Use a 1:500 dilution of the primary antibody.
Secondary antibody: Apply a goat polyclonal to rabbit IgG at approximately 1:40000 dilution.
Expected results: Look for a band at approximately 16 kDa, which is the predicted molecular weight for Histone H3.1.
This methodology has been validated with multiple human cell lines and demonstrates consistent results across different cell types .
For immunofluorescence applications:
Cell preparation: Culture cells on appropriate coverslips or slides.
Treatment: For enhanced signal, consider treating cells with 30mM sodium butyrate for 4 hours.
Fixation: Fix cells in 4% formaldehyde.
Permeabilization: Permeabilize using 0.2% Triton X-100.
Blocking: Block in 10% normal Goat Serum.
Primary antibody incubation: Incubate with the 2-hydroxyisobutyryl-HIST1H3A (K18) Antibody at a 1:50 dilution overnight at 4°C.
Secondary antibody: Use Alexa Fluor 488-conjugated AffiniPure Goat Anti-Rabbit IgG(H+L).
Counterstain: DAPI is recommended for nuclear visualization.
This protocol has been successfully used with HeLa cells and should provide clear nuclear staining patterns that correspond to the localization of the modified histone .
For Immunocytochemistry applications:
Cell preparation: Culture cells on appropriate slides or plates.
Treatment: Consider treating cells with 30mM sodium butyrate for 4 hours to enhance modification levels.
Fixation: Fix cells in 4% formaldehyde.
Permeabilization: Use 0.2% Triton X-100.
Blocking: Block with 10% normal goat serum for 30 minutes at room temperature.
Primary antibody: Dilute the 2-hydroxyisobutyryl-HIST1H3A (K18) Antibody at 1:100 in 1% BSA and incubate overnight at 4°C.
Detection system: Use a biotinylated secondary antibody and visualize using an HRP conjugated SP system.
This method has been validated with HeLa cells and provides specific nuclear staining patterns .
The 2-hydroxyisobutyrylation of histone H3 at lysine 18 (K18) represents a distinct post-translational modification that differs from better-known modifications such as acetylation, methylation, or phosphorylation. This modification involves the addition of a 2-hydroxyisobutyryl group specifically to the lysine residue at position 18 of the histone H3.1 protein.
Key distinguishing features:
Chemical structure: The 2-hydroxyisobutyryl group is bulkier than acetyl groups, potentially causing more significant structural changes to chromatin.
Regulatory functions: While acetylation typically correlates with gene activation, 2-hydroxyisobutyrylation may have distinct regulatory roles in chromatin dynamics and gene expression.
Enzymatic regulation: The enzymes responsible for adding and removing this modification likely differ from histone acetyltransferases (HATs) and histone deacetylases (HDACs).
Cellular context: Studies using sodium butyrate treatment (30mM for 4h) suggest that this modification may be regulated by metabolic factors or stress conditions .
To distinguish between 2-hydroxyisobutyrylation at K18 and other histone modifications:
Antibody specificity validation:
Perform peptide competition assays using modified and unmodified peptides
Conduct dot blot analysis with various modified histone peptides
Use multiple antibodies targeting different epitopes to confirm specificity
Mass spectrometry approaches:
Implement tandem mass spectrometry (MS/MS) to definitively identify the modification
Use high-resolution mass spectrometry to distinguish between isobaric modifications
Consider targeted methods such as Multiple Reaction Monitoring (MRM) for quantification
Combinatorial analysis:
Investigate co-occurrence with other histone modifications through sequential immunoprecipitation
Perform ChIP-seq experiments to map genomic distribution
Compare with datasets for other histone modifications to identify unique patterns
Functional studies:
For optimal Chromatin Immunoprecipitation (ChIP) using the 2-hydroxyisobutyryl-HIST1H3A (K18) Antibody:
Crosslinking optimization:
Test different formaldehyde concentrations (0.75-1.5%)
Optimize crosslinking times (10-15 minutes) for best results
Consider dual crosslinking with formaldehyde and protein-specific crosslinkers
Chromatin preparation:
Sonicate chromatin to achieve fragments of 200-500 bp
Verify fragmentation through agarose gel electrophoresis
Pre-clear chromatin with protein A/G beads to reduce background
Immunoprecipitation conditions:
Use 2-5 μg of antibody per ChIP reaction
Incubate overnight at 4°C with gentle rotation
Include appropriate controls (IgG control, input samples)
Washing and elution:
Implement stringent washing steps to reduce non-specific binding
Consider sequential ChIP for co-occurrence studies with other modifications
Optimize elution conditions for maximum recovery
Downstream analysis:
Expected results and troubleshooting for Western Blot applications:
| Expected Results | Potential Issues | Troubleshooting Strategies |
|---|---|---|
| Single band at ~16 kDa | Multiple bands | Optimize antibody dilution (try 1:500-1:2000) |
| Enhanced signal with sodium butyrate treatment | Weak or no signal | Pretreat cells with 30mM sodium butyrate for 4h |
| Detectable in HeLa, Jurkat, 293, HepG2 cells | Cell type-specific variations | Verify antibody reactivity in your specific cell type |
| High background | Increase blocking time or concentration | |
| Non-specific bands | Optimize washing steps and secondary antibody dilution |
The 2-hydroxyisobutyryl-HIST1H3A (K18) Antibody typically produces a clear band at 16 kDa in Western blot analysis of human cell lysates. The signal is often enhanced when cells are treated with sodium butyrate, which may increase the levels of this modification .
To validate antibody specificity:
Peptide competition assays:
Pre-incubate the antibody with excess immunizing peptide (modified at K18)
Compare with control (no peptide) and non-specific peptide competitions
A specific antibody will show significantly reduced signal when pre-incubated with the specific peptide
Knockout/knockdown validation:
Use genetic approaches to reduce histone H3.1 expression
Alternatively, mutate K18 to a non-modifiable residue
Confirm reduction/elimination of the signal
Cross-reactivity testing:
Test against other histone 2-hydroxyisobutyrylation sites (e.g., K27, K56)
Use peptide arrays with various histone modifications
Perform dot blots with differentially modified recombinant histones
Correlation with other detection methods:
Essential controls for experiments using the 2-hydroxyisobutyryl-HIST1H3A (K18) Antibody:
Positive controls:
Lysates from cells treated with 30mM sodium butyrate for 4h
Recombinant histone H3.1 with 2-hydroxyisobutyrylation at K18
Previously validated positive samples
Negative controls:
Isotype control (rabbit IgG) at equivalent concentration
Untreated cell samples (for comparison with sodium butyrate treatment)
Peptide competition control
Loading/technical controls:
Total histone H3 antibody to normalize for histone content
GAPDH or β-actin for total protein loading (in Western blots)
Nuclear staining (DAPI) for localization studies
Validation controls:
Modified peptide dot blots
Sequential dilutions to verify signal linearity
Multiple cell lines to verify consistency of results
Treatment controls:
The 2-hydroxyisobutyryl-HIST1H3A (K18) Antibody enables researchers to investigate this histone modification in various disease contexts:
Cancer research applications:
Compare 2-hydroxyisobutyrylation levels between normal and tumor tissues
Correlate modification patterns with gene expression changes in oncogenesis
Investigate whether altered metabolism in cancer cells affects this modification
Study potential cooperation with other epigenetic marks in cancer progression
Neurodegenerative disease models:
Examine age-dependent changes in 2-hydroxyisobutyrylation patterns
Investigate interactions with disease-associated proteins
Correlate with altered gene expression in affected brain regions
Study potential therapeutic interventions targeting this modification
Metabolic disorders:
Investigate how metabolic stress affects 2-hydroxyisobutyrylation levels
Study the relationship between cellular metabolism and this modification
Examine tissue-specific patterns in metabolic disease models
Correlate with transcriptional changes in metabolic pathways
Experimental methodologies:
The relationship between 2-hydroxyisobutyrylation at K18 and other histone H3 modifications is complex and represents an important area of epigenetic research:
Modification crosstalk:
2-hydroxyisobutyrylation may compete with acetylation at K18
Adjacent modifications (e.g., K14ac, K23ac) may influence K18 2-hydroxyisobutyrylation
H3S10 phosphorylation could affect recognition or establishment of K18 2-hydroxyisobutyrylation
H3K9 or H3K27 methylation status may correlate with K18 2-hydroxyisobutyrylation patterns
Temporal dynamics:
Sequential modification patterns during cell cycle progression
Changes during cellular differentiation or response to stimuli
Establishment and maintenance during DNA replication
Functional consequences:
Effects on chromatin structure compared to other modifications
Differential recruitment of reader proteins
Impact on transcriptional machinery access
Role in specialized processes like DNA repair or replication
Experimental approaches to study relationships:
For integrative analysis of 2-hydroxyisobutyryl-HIST1H3A (K18) ChIP-seq data:
Multi-omics integration strategies:
Correlate with RNA-seq data to identify transcriptional impacts
Integrate with DNA methylation profiles to understand epigenetic interactions
Combine with ATAC-seq or DNase-seq to assess chromatin accessibility
Compare with other histone modification ChIP-seq datasets
Computational analysis approaches:
Implement peak calling optimized for histone modifications (e.g., MACS2 with broad peak settings)
Perform differential binding analysis between experimental conditions
Use genome segmentation tools (e.g., ChromHMM) to identify chromatin states
Apply machine learning approaches to identify combinatorial patterns
Visualization and interpretation:
Generate heat maps centered on transcription start sites or enhancers
Create genome browser tracks to visualize distribution patterns
Perform motif analysis to identify associated transcription factors
Conduct pathway enrichment analysis for genes associated with this modification
Functional validation approaches:
Emerging research trends with 2-hydroxyisobutyryl-HIST1H3A antibodies include:
Single-cell applications:
Adaptation of techniques for single-cell ChIP-seq
Integration with single-cell RNA-seq for correlation studies
Development of high-sensitivity detection methods for limited samples
In vivo dynamics:
Live-cell imaging using labeled antibody fragments
Development of modification-specific biosensors
Real-time monitoring of modification changes during cellular processes
Therapeutic targeting:
Identification of enzymes regulating this modification
Development of small molecules targeting these enzymes
Potential for epigenetic therapy approaches
Cross-species comparative studies:
Evolution of this modification across species
Conservation of regulatory mechanisms
Functional divergence in different organisms
The continued development of highly specific antibodies against various histone modifications, including 2-hydroxyisobutyrylation, will enable more sophisticated understanding of the histone code and its biological significance .
Future methodological advances needed for studying 2-hydroxyisobutyryl-HIST1H3A (K18):
Technical improvements:
Development of homogeneous antibody preparations with defined epitope recognition
Creation of recombinant antibody formats for improved reproducibility
Generation of modification-specific nanobodies for advanced applications
Improved methods for fixed tissue ChIP applications
Multi-modification analysis:
Development of multiplexed ChIP approaches for simultaneous detection
Improved mass spectrometry methods for quantitative analysis of modification combinations
Advanced imaging techniques for visualization of modification co-occurrence
Functional analysis tools:
CRISPR-based tools for site-specific modification introduction or removal
Development of selective readers or erasers for this modification
High-throughput screening systems to identify regulatory factors
Computational approaches:
Advanced algorithms for integration of multi-omics data
Predictive modeling of modification dynamics
Machine learning approaches to identify subtle modification patterns