The Glutaryl-HIST1H2BC (K120) Antibody is a polyclonal rabbit-derived antibody designed to detect glutarylation at lysine 120 (K120) of the HIST1H2BC protein, a member of the histone H2B family. This antibody enables researchers to study the role of histone glutarylation in chromatin dynamics, gene regulation, and epigenetic mechanisms. Glutarylation, a post-translational modification (PTM), influences chromatin structure and DNA accessibility, with implications in transcriptional regulation and cellular processes .
The antibody is validated for detecting glutaryl-HIST1H2BC (K120) in human cell lysates and chromatin samples.
In WB studies, the antibody detects a 14 kDa band corresponding to HIST1H2BC, matching its predicted molecular weight (13,906 Da) . For example:
Cell Lines Tested: Hela, 293, A549
Treatment Protocol: Cells treated with 30 mM sodium butyrate (a histone deacetylase inhibitor) to induce chromatin remodeling .
Detection: Primary antibody at 1:100 dilution, secondary anti-rabbit IgG at 1:50,000 .
The antibody is suitable for high-throughput screening in ELISA assays, with recommended dilutions of 1:2,000–1:10,000 .
HIST1H2BC is a core histone involved in nucleosome assembly and chromatin compaction. Glutarylation at K120 modulates chromatin accessibility and transcriptional activity:
Chromatin Structure: Glutarylation may disrupt histone-DNA interactions, promoting an open chromatin state .
Functional Cross-Talk: Glutarylation at K120 could interact with other PTMs (e.g., acetylation, ubiquitination) to regulate gene expression .
Glutaryl-HIST1H2BC (K120) Antibody is a high-quality polyclonal antibody specifically designed for detecting glutarylation at lysine 120 of the histone protein Hist1H2BC. Raised in rabbits, this antibody exhibits high sensitivity and specificity for human samples with this particular modification .
In epigenetic research, this antibody serves as a critical tool for investigating histone glutarylation, which is a post-translational modification (PTM) that can influence chromatin structure and function. Histone proteins, including Hist1H2BC, play essential roles in packaging DNA into chromatin and regulating gene expression . The ability to specifically detect glutarylation at lysine 120 allows researchers to study how this modification affects various cellular processes and contributes to epigenetic regulation.
Histone glutarylation is one of many post-translational modifications that affect histone proteins, but it has distinct characteristics compared to more well-studied modifications like methylation and acetylation.
While acetylation typically neutralizes the positive charge of lysine residues and loosens chromatin structure, glutarylation adds a larger chemical group with a negative charge, potentially creating more significant structural changes to chromatin . Unlike methylation which can exist in multiple states (mono-, di-, or tri-methylation) with different functional outcomes, glutarylation is a single-state modification but may have context-dependent effects.
The functional impact of glutarylation at specific sites such as K120 on Hist1H2BC may influence transcriptional regulation, DNA repair processes, and potentially interact with other histone modifications in the broader "histone code" . Understanding these unique aspects of glutarylation helps researchers interpret experimental results in the proper context of epigenetic regulation.
The search results reveal antibodies targeting glutarylation at different lysine residues on HIST1H2BC, specifically K116 and K120 . These antibodies differ in:
| Feature | Glutaryl-HIST1H2BC (K116) | Glutaryl-HIST1H2BC (K120) |
|---|---|---|
| Target site | Lysine 116 | Lysine 120 |
| Immunogen | Peptide sequence around K116 | Peptide sequence around K120 |
| Applications | ELISA, WB, IF | ELISA, WB |
| Reactivity | Human | Human |
| Host | Rabbit | Rabbit |
The biological significance of glutarylation at these distinct lysine residues may vary, potentially affecting different aspects of chromatin regulation or protein interactions. When designing experiments, researchers should select the appropriate antibody based on which specific modification site they aim to study .
The Glutaryl-HIST1H2BC (K120) Antibody has been validated for several experimental applications:
Western Blotting (WB): The antibody is validated for detecting glutarylated HIST1H2BC in protein samples, with recommended dilutions of 1:100-1:1000 .
Enzyme-Linked Immunosorbent Assay (ELISA): The antibody can be used in ELISA applications with recommended dilutions of 1:2000-1:10000 .
For optimal results in Western blotting:
Use fresh samples with protease inhibitors and deacetylase inhibitors
Include appropriate controls (positive, negative, and loading controls)
Optimize blocking conditions to minimize background
Validate antibody specificity using peptide competition assays
Consider enhanced chemiluminescence (ECL) detection for optimal sensitivity
For ELISA applications:
Establish standard curves using known concentrations of glutarylated peptides
Optimize coating buffer conditions and antibody concentrations
Validate using appropriate controls
Consider using streptavidin-HRP systems for detection enhancement
For effective detection of histone glutarylation, careful sample preparation is essential:
Histone Extraction:
Use dedicated histone extraction kits or acid extraction methods
Include deacetylase/deglutarylase inhibitors (e.g., sodium butyrate, nicotinamide)
Maintain cold temperatures throughout extraction to prevent modification loss
Storage Conditions:
Sample Handling:
Buffer Composition:
While the search results don't specifically mention ChIP validation for the K120 antibody, similar histone modification antibodies have been used in ChIP experiments . For optimizing ChIP with Glutaryl-HIST1H2BC (K120) Antibody:
Crosslinking Optimization:
Test different formaldehyde concentrations (0.5-1.5%) and crosslinking times
Include glycine quenching to stop crosslinking reaction
Sonication Parameters:
Optimize sonication conditions to generate fragments of 200-500bp
Verify fragment size by agarose gel electrophoresis
Antibody Concentration:
Titrate antibody amounts (typically 2-10μg per ChIP reaction)
Include IgG controls matched to the host species (rabbit)
Washing Stringency:
Test different washing buffers with increasing salt concentrations
Balance between reducing background and maintaining specific binding
Validation Methods:
Use qPCR primers targeting regions known to be enriched for H2B modifications
Include positive controls (actively transcribed genes) and negative controls (silent genes)
Histone modifications often function in combination rather than isolation, creating a complex "histone code" that regulates chromatin structure and gene expression. The glutarylation at K120 of HIST1H2BC likely participates in this code through various interactions:
Crosstalk Mechanisms:
Glutarylation may compete with other lysine modifications (acetylation, methylation, ubiquitination) at the same residue
Modifications on neighboring residues may influence enzyme accessibility for glutarylation/deglutarylation
Glutarylation may recruit or repel specific chromatin-modifying complexes
Sequential Modifications:
Certain modifications may need to occur before glutarylation is possible
Glutarylation may serve as a prerequisite for subsequent modifications
Functional Consequences:
The combination of glutarylation with other modifications may have synergistic or antagonistic effects on transcription
Different modification patterns may signal for distinct cellular processes (e.g., DNA repair, replication, transcription)
Understanding these interactions requires techniques like sequential ChIP, mass spectrometry, and combinatorial antibody approaches to map the co-occurrence of multiple modifications .
Robust experimental design for studying histone glutarylation requires multiple controls:
Antibody Specificity Controls:
Peptide competition assays using glutarylated and unmodified peptides
Testing on samples with enzymatically removed glutarylation
Cross-reactivity testing with other acylated histones
Sample Processing Controls:
Include deglutarylase inhibitors in all buffers
Process all experimental and control samples identically
Monitor for consistency in extraction efficiency
Experimental Controls:
Positive controls: cell lines/tissues known to have high glutarylation levels
Negative controls: samples treated with deglutarylases
Treatment controls: metabolic interventions known to alter glutarylation (e.g., glutaryl-CoA dehydrogenase modulators)
Technical Controls:
Loading controls for Western blots (total histone H3 or H2B)
Input controls for ChIP experiments
Standard curves for quantitative analyses
Including these controls helps distinguish true biological effects from technical artifacts and ensures reproducibility of findings across independent experiments .
Resolving contradictions in histone glutarylation research requires systematic investigation:
Antibody Validation:
Verify antibody specificity through multiple methods
Compare results with different antibody clones/sources
Validate findings with mass spectrometry when possible
Methodological Standardization:
Document detailed protocols including buffer compositions
Standardize extraction and detection methods across studies
Report all experimental parameters that might influence results
Biological Context Considerations:
Cell type/tissue specificity of glutarylation patterns
Temporal dynamics of the modification
Metabolic state of the system under study
Integrated Approaches:
Combine antibody-based detection with mass spectrometry
Correlate functional outcomes with modification levels
Use genetic and pharmacological interventions to validate causal relationships
Collaborative Validation:
Replicate key experiments in independent laboratories
Share reagents and protocols to ensure comparability
Establish consensus on technical standards
These approaches can help determine whether contradictions represent technical artifacts or genuine biological complexity in histone glutarylation patterns .
Inconsistent results when using Glutaryl-HIST1H2BC (K120) Antibody can stem from several sources:
Antibody-Related Issues:
Sample Preparation Problems:
Loss of glutarylation during extraction due to active deglutarylases
Inconsistent extraction efficiency between experiments
Solution: Include deglutarylase inhibitors and standardize extraction protocols
Technical Variations:
Inconsistent blocking conditions causing variable background
Differences in incubation times or temperatures
Solution: Develop detailed SOPs and maintain consistent conditions across experiments
Biological Variability:
Cell cycle-dependent changes in glutarylation levels
Metabolic state influencing glutarylation dynamics
Solution: Synchronize cells when possible and control for metabolic conditions
Detection System Limitations:
Variable sensitivity of detection reagents
Non-linear signal response
Solution: Include standard curves and validate the linear range of detection
Addressing these issues requires systematic troubleshooting and careful documentation of all experimental parameters.
Distinguishing specific from non-specific binding is crucial for accurate interpretation:
Peptide Competition Assays:
Pre-incubate antibody with glutarylated peptide (specific competitor)
Pre-incubate with unmodified peptide (control)
Specific signal should be eliminated only by the glutarylated peptide
Validation with Multiple Techniques:
Compare antibody-based detection with mass spectrometry
Use orthogonal approaches like in vitro glutarylation assays
Employ genetic approaches (e.g., mutating K120 to arginine)
Controls for Western Blot:
Include samples with enzymatically removed glutarylation
Use cell lines with known glutarylation status
Test specificity with dot blots using modified and unmodified peptides
Signal Validation Approaches:
Verify expected molecular weight (approximately 14-15kDa for H2B)
Confirm signal disappearance after appropriate treatments
Test across multiple cell types with expected glutarylation differences
These approaches collectively help ensure that observed signals genuinely represent glutarylation at K120 rather than artifacts or cross-reactivity .
Quantifying histone glutarylation presents several challenges:
Dynamic Range Limitations:
Western blot has limited dynamic range for quantification
Solution: Use digital imaging systems and validate linear range with standard curves
Reference Standard Issues:
Lack of universally accepted standards for glutarylation levels
Solution: Develop internal standards and report relative changes rather than absolute values
Normalization Challenges:
Variations in total histone loading
Solution: Normalize to total H2B or total protein, and verify equal loading with multiple controls
Technical Variability:
Batch effects in sample processing
Solution: Process all experimental conditions simultaneously when possible
Antibody Saturation:
Non-linear response at high modification levels
Solution: Perform antibody titrations and ensure measurements are within the linear range
Extraction Efficiency Variability:
Inconsistent recovery of modified histones
Solution: Use spike-in controls and validate extraction protocols
Overcoming these challenges requires rigorous method validation, appropriate controls, and careful consideration of quantification approaches .
Histone glutarylation research is expanding into disease-related contexts:
Cancer Biology:
Investigating altered glutarylation patterns in various cancer types
Exploring connections between metabolic dysregulation and histone glutarylation
Examining potential of glutarylation as biomarkers for cancer progression
Neurodegenerative Disorders:
Studying glutarylation changes in conditions like Alzheimer's and Parkinson's
Investigating glutarylation in models of neuronal stress and aging
Exploring links between glutaryl-CoA metabolism and neurodegeneration
Metabolic Diseases:
Examining how metabolic disorders affect histone glutarylation patterns
Studying the interplay between diet, metabolism, and epigenetic modifications
Investigating glutarylation as a link between metabolism and gene regulation
Understanding histone glutarylation in these contexts may reveal new insights into disease mechanisms and potentially identify novel therapeutic targets .
Several technological developments are advancing histone glutarylation research:
Mass Spectrometry Innovations:
Improved sensitivity for detecting low-abundance modifications
Quantitative approaches like SILAC and TMT labeling
Top-down proteomics for analyzing intact histone proteins
Genomic Mapping Technologies:
ChIP-seq adaptations for mapping glutarylation genome-wide
CUT&RUN and CUT&Tag methods for improved resolution
Single-cell approaches for heterogeneity analysis
Synthetic Biology Tools:
Engineered deglutarylases and glutaryltransferases
Site-specific incorporation of glutarylated lysines using genetic code expansion
CRISPR-based epigenetic editors targeting glutarylation machinery
Computational Approaches:
Machine learning algorithms for predicting glutarylation sites
Integrative analysis of multiple histone modifications
Molecular dynamics simulations of glutarylation effects on chromatin structure
These technological advances collectively enable more comprehensive and precise investigation of histone glutarylation and its biological roles .
Histone acylation modifications form a diverse family with distinct properties:
| Acylation Type | Group Size | Charge | Known Enzymes | Functional Impact |
|---|---|---|---|---|
| Acetylation | Small | Neutral | HATs/HDACs | Well-characterized, generally activates transcription |
| Glutarylation | Large | Negative | Sirtuin family | Emerging understanding, may have context-dependent effects |
| Butyrylation | Medium | Neutral | P300/CBP, SIRT1-3 | Often correlates with active transcription |
| Crotonylation | Medium | Neutral | P300/CBP, SIRT1-3 | Associated with active gene expression in specific contexts |
| Propionylation | Small | Neutral | P300, SIRT1-2 | Similar to acetylation but with distinct readers |
Glutarylation is distinctive due to its larger size and negative charge, which may create more significant structural alterations to chromatin compared to other acylations. The enzymatic machinery regulating glutarylation is still being characterized, with sirtuins likely playing important roles.
The functional impacts of glutarylation appear context-dependent, potentially influenced by:
Local chromatin environment
Co-occurring modifications
Metabolic state of the cell
Tissue-specific regulatory factors