HIST1H3A (Ab-10) Antibody is a polyclonal antibody raised in rabbits that specifically recognizes the peptide sequence surrounding Serine 10 of human Histone H3.1. Histone H3.1 is a fundamental component of the eukaryotic nucleosome, playing critical roles in chromatin structure and epigenetic regulation. The antibody specifically targets the region containing Serine 10, which is a key phosphorylation site involved in various cellular processes including mitosis and transcriptional activation . This antibody belongs to the IgG isotype and is typically available in unconjugated form for maximum flexibility in experimental applications .
HIST1H3A (Ab-10) Antibody has been validated for multiple experimental applications crucial to epigenetic and chromatin research:
| Application | Recommended Dilution | Sample Types | Key Considerations |
|---|---|---|---|
| Western Blot (WB) | 1:500-5000 | Cell acid extracts | Detects ~17 kDa band |
| Immunohistochemistry (IHC) | 1:20-200 | Paraffin-embedded tissues | Successfully tested on human colon and lung cancer tissues |
| Immunofluorescence (IF) | 1:50-200 | Fixed cells | Works well with HeLa cells |
| ELISA | Variable by protocol | Purified proteins/extracts | Can detect nanogram quantities |
| Chromatin Immunoprecipitation (ChIP) | 2 μl per 500 μl solution | Crosslinked chromatin | Successfully tested in HeLa cells treated with Micrococcal Nuclease |
The antibody has shown specific reactivity in these applications with human samples, allowing researchers to study histone H3.1 modifications in various experimental contexts .
HIST1H3A (Ab-10) Antibody specifically targets histone H3.1 at the Serine 10 region, which distinguishes it from general histone H3 antibodies that may recognize multiple H3 variants. Histone H3 in humans exists in multiple variant forms including H3.1, H3.2, and H3.3, each encoded by different genes and having subtle differences in amino acid sequence and function . While general anti-H3 antibodies typically recognize conserved regions common to all variants, HIST1H3A (Ab-10) specifically targets the H3.1 variant with focus on the functionally important Ser10 region . This specificity makes it particularly valuable for studies examining phosphorylation-dependent processes at this site, which are associated with chromosome condensation during mitosis and transcriptional activation of immediate-early genes .
For optimal preservation of HIST1H3A (Ab-10) Antibody activity, the following storage protocol is recommended:
Short-term storage (up to 2 weeks): Maintain refrigerated at 2-8°C in its original buffer containing preservatives (typically 0.03% Proclin 300) and stabilizers (50% Glycerol) .
Long-term storage: Store at -20°C in small aliquots to prevent repeated freeze-thaw cycles that can denature antibody proteins and reduce binding efficacy .
Preparation before use: Briefly centrifuge tubes prior to opening to collect all material and avoid loss from adhesion to caps or tube walls .
Reconstitution (if lyophilized): Add the specified volume (typically 50 μl) of sterile water directly to the lyophilized powder and allow complete dissolution before use .
Working dilutions: Once diluted to working concentration, use immediately for best results or store briefly at 4°C .
The expected shelf life is approximately 12 months from the date of receipt when properly stored . Monitoring antibody performance in positive controls at regular intervals can help detect any loss of activity over time.
For optimal Western blot results with HIST1H3A (Ab-10) Antibody, sample preparation is critical and should follow these methodological guidelines:
Cell Extraction Method: Use acid extraction techniques to efficiently isolate histones. This typically involves treating cells with a hypotonic lysis buffer followed by acid extraction (0.2N HCl) to solubilize histones .
Sample Types: The antibody has been validated with Jurkat and HEK293 cell acid extracts, which serve as appropriate positive controls .
Protein Loading: Load 10-20 μg of acid-extracted histones per lane for optimal detection.
Protein Transfer: Use PVDF membrane rather than nitrocellulose for better retention of small histone proteins.
Blocking Conditions: Block with 5% non-fat dry milk or BSA in TBST for 1 hour at room temperature.
Antibody Dilution: Use the antibody at 1:500-5000 dilution in blocking buffer .
Incubation Conditions: Incubate with primary antibody overnight at 4°C for best results.
Detection Method: HRP-conjugated secondary antibodies with enhanced chemiluminescence provide sensitive detection of the approximately 17 kDa histone H3.1 band .
Stripping and Reprobing: If necessary, mild stripping conditions should be used to avoid removing the small histone proteins from the membrane.
This optimized protocol enhances detection specificity and reduces background, particularly important when studying specific histone modifications in complex cellular extracts.
Chromatin Immunoprecipitation (ChIP) using HIST1H3A (Ab-10) Antibody requires careful attention to several critical parameters for successful results:
Chromatin Preparation:
Immunoprecipitation Conditions:
Use 5 μg of HIST1H3A (Ab-10) antibody per ChIP reaction (approximately 4×10^6 cells)
Include appropriate negative controls (normal rabbit IgG at the same concentration)
Perform pre-clearing with protein A/G beads to reduce background
Use low-binding tubes to prevent antibody loss during incubation steps
Washing Stringency:
Progressive washing with increasing salt concentrations improves specificity
Include at least 4-5 wash steps with appropriate buffers to reduce non-specific binding
Elution and Crosslink Reversal:
Elute bound chromatin under gentle conditions to maintain DNA integrity
Reverse crosslinks completely (typically 65°C overnight)
Include RNase and Proteinase K treatments to remove contaminating RNA and protein
DNA Purification and Analysis:
Following these methodological guidelines enables accurate mapping of histone H3.1 distribution and specific modifications at Ser10 across the genome, providing insights into chromatin regulation during different cellular processes.
HIST1H3A (Ab-10) Antibody, targeting the Serine 10 region of histone H3.1, can be employed in sophisticated experimental designs to investigate the relationship between histone phosphorylation and gene expression:
Sequential ChIP (Re-ChIP) Analysis:
ChIP-seq with Stimulus-Response Design:
Perform ChIP-seq using HIST1H3A (Ab-10) antibody before and after cell stimulation (e.g., growth factors, stress, mitogenic signals)
Map genome-wide changes in H3S10 phosphorylation patterns
Correlate with RNA-seq data from matched samples to directly link phosphorylation events with transcriptional outcomes
Pharmacological Inhibitor Studies:
Treat cells with specific kinase inhibitors (e.g., Aurora B, MSK1/2, RSK inhibitors)
Assess changes in H3S10 phosphorylation using the antibody in Western blot or ChIP assays
Correlate with changes in expression of immediate-early genes to establish causative relationships
Time-Course Immunofluorescence:
Cell-Cycle Synchronization Studies:
Synchronize cells at different cell cycle phases
Use the antibody to track H3S10 phosphorylation during mitosis and interphase
Correlate with expression of cell-cycle regulated genes
These methodological approaches provide mechanistic insights into how H3S10 phosphorylation contributes to chromatin remodeling and transcriptional regulation in various biological contexts, from cell division to stimulus-responsive gene expression programs.
When encountering weak or non-specific signals with HIST1H3A (Ab-10) Antibody, the following methodological troubleshooting strategies can help optimize experimental outcomes:
Implementing these methodological refinements according to the specific experimental context can significantly improve both signal specificity and sensitivity when working with HIST1H3A (Ab-10) Antibody across different applications.
HIST1H3A (Ab-10) Antibody can be employed in sophisticated multiplex immunofluorescence strategies to investigate chromatin dynamics in various biological contexts:
These methodological approaches enable researchers to visualize and quantify the spatial and temporal dynamics of H3S10 phosphorylation in relation to other nuclear events, providing insights into chromatin reorganization during processes such as transcriptional activation, cell division, and cellular stress responses.
When designing epigenetic research studies, understanding the comparative advantages and limitations of HIST1H3A (Ab-10) Antibody versus other histone H3 antibodies is essential:
Methodological considerations for comparative studies:
Sequential or Parallel ChIP Analysis:
Using HIST1H3A (Ab-10) in parallel with other H3 antibodies on identical samples
Comparing enrichment profiles to distinguish variant-specific from pan-H3 patterns
Cross-Validation Strategy:
Confirming key findings with multiple antibodies targeting different epitopes of H3
Using recombinant H3.1 versus H3.3 proteins as controls for specificity testing
Application-Specific Selection Criteria:
For studies focusing on mitosis and cell cycle: HIST1H3A (Ab-10) provides advantages due to its Ser10 region recognition
For broad chromatin occupancy studies: general H3 antibodies may provide more comprehensive coverage
For studies requiring cross-species comparison: broader reactivity antibodies like Agrisera's Anti-H3 may be more suitable
This comparative approach ensures appropriate antibody selection based on specific research questions and experimental designs in epigenetic studies.
When conducting phosphorylation-specific studies using HIST1H3A (Ab-10) Antibody, rigorous experimental controls are essential for valid data interpretation:
Positive Controls:
Mitotic cell extracts (nocodazole-arrested) known to have high levels of H3S10 phosphorylation
Stimulated cells treated with agents that activate MAP kinase pathways (e.g., TPA, EGF)
Recombinant H3.1 protein pre-phosphorylated at Ser10 by Aurora B kinase in vitro
Negative Controls:
Phosphatase-treated samples to remove phosphorylation at Ser10
Cells treated with kinase inhibitors specific for H3S10 kinases (Aurora B, MSK1/2)
Non-phosphorylatable H3.1 mutant (S10A) expressed in cells
Specificity Controls:
Peptide competition assays using:
Phosphorylated H3S10 peptide (should block signal)
Non-phosphorylated H3S10 peptide (should not block signal)
Phosphorylated peptides from other sites (H3S28ph - should not block)
Antibody Validation Controls:
Comparison with commercially available phospho-specific anti-H3S10ph antibodies
Immunoprecipitation followed by mass spectrometry to confirm target identity
Sequential probing with general H3 antibody after stripping to confirm protein loading
Technical Controls for ChIP Experiments:
Treatment Validation:
Parallel Western blot analysis to confirm phosphorylation status changes
Immunofluorescence to visualize cellular distribution of signals
Time-course analysis to capture dynamic phosphorylation events
Implementing this comprehensive control strategy ensures that observed signals genuinely represent H3.1 Ser10 phosphorylation events, enabling confident interpretation of experimental results in studies investigating chromatin regulation, cell cycle progression, or transcriptional activation.
Designing experiments to effectively distinguish between different histone H3 variants using HIST1H3A (Ab-10) Antibody requires strategic approaches that leverage the antibody's specificity for H3.1 while implementing controls to differentiate from other H3 variants:
Sequential Immunoprecipitation Protocol:
First round: Immunoprecipitate with general H3 antibody
Split the sample and perform second round with:
HIST1H3A (Ab-10) Antibody to enrich for H3.1
H3.3-specific antibody to enrich for H3.3
Compare genomic distributions to identify variant-specific regions
Comparative ChIP-seq Experimental Design:
Perform parallel ChIP-seq with:
Bioinformatic analysis to identify:
H3.1-specific regions (enriched with HIST1H3A but not H3.3)
H3.3-specific regions (enriched with H3.3 but not HIST1H3A)
Common regions (enriched with both antibodies)
Cell Cycle-Dependent Analysis:
Synchronize cells at different cell cycle phases:
G1/G0 (low H3.1 incorporation)
S phase (high H3.1 incorporation)
G2/M (high H3S10 phosphorylation)
Compare HIST1H3A (Ab-10) signals across these phases by Western blot and IF
Correlate with replication timing and transcriptional activity
Genetic Knockdown Validation Strategy:
Perform siRNA-mediated knockdown of:
H3.1-specific chaperone (CAF-1)
H3.3-specific chaperone (HIRA, DAXX)
Assess changes in HIST1H3A (Ab-10) signal distribution
Validate with complementary antibodies and quantitative PCR
Exogenous Expression System:
Express tagged versions of histone variants:
FLAG-H3.1
HA-H3.3
Perform ChIP with:
HIST1H3A (Ab-10) Antibody
Anti-FLAG (H3.1-specific)
Anti-HA (H3.3-specific)
Compare enrichment profiles to validate variant specificity
Pulse-Chase Experimental Design:
Label newly synthesized histones (e.g., SNAP-tag approaches)
Track incorporation dynamics over time
Correlate with HIST1H3A (Ab-10) signals to distinguish replication-dependent (H3.1) from replication-independent (H3.3) deposition
These methodological approaches enable researchers to effectively distinguish between histone H3 variants in various biological contexts, providing insights into their distinct functions in chromatin regulation, DNA replication, transcription, and cell division processes.
The integration of HIST1H3A (Ab-10) Antibody into emerging single-cell epigenomic technologies represents a frontier in chromatin research methodology:
Single-Cell CUT&Tag Protocol Adaptation:
Optimize HIST1H3A (Ab-10) Antibody concentration for limited cell numbers
Develop a protocol utilizing protein A-Tn5 transposase fusion proteins with HIST1H3A (Ab-10)
Implement cell sorting to isolate specific populations prior to analysis
Develop computational pipelines to analyze H3.1 Ser10 phosphorylation patterns at single-cell resolution
Antibody-Based Single-Cell Combinatorial Indexing:
Use HIST1H3A (Ab-10) in combination with antibodies against other chromatin features
Implement split-pool barcoding strategies to profile thousands of individual cells
Create multidimensional maps of H3.1 distribution and modification states across heterogeneous populations
Integrated Multi-Omics Approaches:
Develop protocols combining:
Single-cell H3.1 ChIP-seq using HIST1H3A (Ab-10)
Single-cell RNA-seq on the same cells
Single-cell ATAC-seq for chromatin accessibility
Correlate H3.1 occupancy with gene expression and chromatin openness at single-cell level
Microfluidic Platform Integration:
Adapt HIST1H3A (Ab-10) ChIP protocols to microfluidic devices
Minimize reagent volumes and maximize sensitivity for single-cell applications
Implement on-chip washing and purification steps to reduce background
Spatial Epigenomics Applications:
Combine HIST1H3A (Ab-10) immunofluorescence with in situ sequencing
Develop protocols for spatially resolved ChIP-seq using HIST1H3A (Ab-10)
Map H3.1 distribution in tissue contexts while preserving spatial information
Advanced Data Analysis Frameworks:
Develop computational methods to account for technical variation in single-cell epigenomic data
Implement trajectory analysis to map H3.1 dynamics during cellular differentiation or response
Create integrative models connecting H3.1 phosphorylation states to transcriptional outcomes
These emerging methodologies will enable unprecedented insights into the cell-to-cell variation in histone H3.1 distribution and modification, revealing how epigenetic heterogeneity contributes to cellular function and disease processes at single-cell resolution.
Long-term time-lapse experiments using HIST1H3A (Ab-10) Antibody present specific challenges that require methodological solutions:
Challenge: Antibody Accessibility in Living Cells
Solutions:
Develop cell-permeable versions of HIST1H3A (Ab-10) using protein transduction domains
Create Fab fragments with improved cellular penetration while maintaining specificity
Implement reversible permeabilization protocols that allow antibody entry while maintaining cell viability
Challenge: Phototoxicity and Photobleaching
Solutions:
Use photostable fluorophores (e.g., Alexa Fluor 647) for antibody conjugation
Implement intelligent illumination strategies (minimal exposure, optimized intervals)
Develop oxygen scavenging systems to reduce photobleaching during long-term imaging
Challenge: Maintaining Physiological Conditions
Solutions:
Optimize imaging media composition to support long-term cell health
Implement environmental control systems (temperature, CO2, humidity)
Develop microfluidic chambers for continuous media exchange without disturbing imaging
Challenge: Signal-to-Noise Ratio Degradation Over Time
Solutions:
Apply denoising algorithms specifically designed for time-lapse data
Implement signal amplification strategies (e.g., tyramide signal amplification)
Develop computational approaches to correct for background increase and signal decay
Challenge: Tracking Individual Cells Through Division
Solutions:
Combine HIST1H3A (Ab-10) with stable cell tracking markers (nuclear localized fluorescent proteins)
Implement machine learning-based cell tracking algorithms
Develop lineage reconstruction methods that account for mitotic events
Challenge: Quantifying Dynamic Phosphorylation Changes
Solutions:
Create ratiometric imaging approaches using co-staining with total H3 antibodies
Implement FRET-based sensors to detect H3S10 phosphorylation in real-time
Develop calibration standards for quantitative interpretation of fluorescence intensity
Challenge: Correlating with Functional Outcomes
Solutions:
Design dual-reporter systems that simultaneously track H3S10 phosphorylation and transcriptional activity
Implement post-experiment fixation and staining protocols for endpoint analysis
Develop computational frameworks to correlate dynamic histone modifications with cellular behaviors
These methodological approaches address the technical challenges of using HIST1H3A (Ab-10) Antibody in long-term live-cell imaging experiments, enabling researchers to visualize and quantify the dynamics of H3.1 phosphorylation in relation to cell cycle progression, transcriptional regulation, and response to environmental stimuli over extended time periods.
To ensure experimental reproducibility and valid data interpretation when working with HIST1H3A (Ab-10) Antibody, researchers should implement the following standardized quality control procedures:
Antibody Validation Protocol:
Western blot validation using:
Lot-to-lot validation when receiving new antibody batches
Regular testing with positive controls to monitor antibody performance over time
Application-Specific Quality Controls:
For Western Blot:
For ChIP/ChIP-seq:
Assess chromatin fragmentation quality by gel electrophoresis
Include spike-in controls for normalization
Validate enrichment at known positive and negative loci by qPCR
Calculate signal-to-noise ratio and fragment size distribution metrics
For Immunofluorescence:
Include positive cell populations (mitotic cells)
Use blocking peptides to confirm signal specificity
Implement no-primary antibody controls
Standardized Reporting Requirements:
Periodic Performance Assessment:
Test antibody sensitivity using dilution series of positive control samples
Assess specificity through immunoprecipitation followed by mass spectrometry
Compare performance with alternative antibodies targeting the same epitope
Collaborative Validation:
Participate in antibody validation initiatives
Share validation data through repositories or publications
Implement multi-laboratory testing for critical experiments
The landscape of epigenetic research tools is rapidly evolving, with several emerging technologies poised to complement or potentially replace traditional antibody-based approaches like HIST1H3A (Ab-10) Antibody:
Engineered Protein-Based Detection Systems:
CRISPR-based histone modification detectors
Synthetic histone modification reader domains with fluorescent outputs
Nanobodies with enhanced specificity for histone H3.1 and its modifications
Split protein complementation systems for live-cell visualization of H3S10 phosphorylation
Mass Spectrometry Advancements:
Targeted mass spectrometry approaches for precise quantification of H3.1 phosphorylation
Single-cell proteomics methods for analyzing histone modifications
Imaging mass spectrometry for spatial mapping of histone variants
Top-down proteomics for analyzing combinatorial histone modification patterns
Genomic and Sequencing Technologies:
CUT&Tag methods optimized for histone variant-specific mapping
Direct detection of histone modifications during nanopore sequencing
Long-read sequencing approaches for linking distant epigenetic features
Combinatorial indexing methods for ultra-high-throughput single-cell epigenomics
Synthetic Biology Approaches:
Engineered cells with endogenously tagged histone H3.1
Orthogonal histone-DNA interaction systems for tracking specific nucleosome populations
Synthetic histone modification circuits with programmable outputs
Bio-orthogonal chemistry for specific labeling of newly synthesized histones
Advanced Imaging Methodologies:
Super-resolution microscopy optimized for chromatin architecture
Lattice light-sheet microscopy for long-term 3D imaging of histone dynamics
Expansion microscopy for enhanced visualization of nuclear subcompartments
Label-free imaging methods that detect biophysical properties of modified chromatin
Computational and AI-Enhanced Analysis:
Deep learning approaches for identifying histone modification patterns
Integrative multi-omics frameworks connecting histone states to functional outcomes
Predictive modeling of histone modification dynamics based on cellular contexts
Automated image analysis pipelines for high-content screening of chromatin states
While these emerging technologies may eventually reduce reliance on traditional antibodies like HIST1H3A (Ab-10), the immediate future will likely involve hybrid approaches that combine antibody-based detection with these advanced technologies to provide complementary data streams and validation. The integration of multiple methodologies will drive more comprehensive understanding of histone H3.1 biology and its role in chromatin regulation.