HIST1H1B (histone H1.5) is a linker histone that:
Binds linker DNA between nucleosomes to stabilize chromatin higher-order structures .
Regulates transcription by modulating nucleosome spacing and DNA methylation .
Interacts with histone deacetylases (HDACs) and nuclear factor-κB (NF-κB) to influence gene silencing and immune responses .
IHC: Demonstrated strong nuclear staining in paraffin-embedded human colon cancer and melanoma tissues at 1:100 dilution .
Western Blot: Detected a single band at ~23 kDa in HEK293 and K562 lysates, confirming specificity .
Feature | HIST1H1B (Ab-17) | HIST1H1B (Ab-137) |
---|---|---|
Target Site | Ser-17 | Thr-137 |
Applications | ELISA, IHC | ELISA, WB, IHC |
Species Reactivity | Human | Human |
Immunogen Design | Phosphorylation site | Non-phosphorylated region |
Cancer Biology: HIST1H1B overexpression correlates with poor prognosis in BLBC, where it drives tumor progression by enhancing chromatin compaction and oncogene activation .
Autoimmunity: Reduced Sirt1 activity in lupus B cells increases H1 acetylation, triggering anti-histone autoantibody production .
Epigenetic Therapeutics: Targeting HIST1H1B acetylation with HDAC inhibitors or Sirt1 activators (e.g., SRT1720) shows potential for modulating aberrant gene expression .
HIST1H1B (also known as H1.4) is a member of the linker histone family that plays a crucial role in organizing and condensing DNA into chromatin. It is involved in regulating gene expression, DNA replication, and DNA repair processes . Recent research has demonstrated that HIST1H1B can function as either a positive or negative regulator of gene expression in tumors, making it an important target in epigenetic and cancer research . Rather than simply labeling histones as general structural proteins, researchers should approach HIST1H1B as a specific regulator that can actively modulate gene expression through direct binding to promoter regions, as demonstrated in the case of CSF2 regulation .
The HIST1H1B (Ab-17) Antibody (PACO56607) has been validated for several research applications including:
ELISA (recommended dilution: 1:2000-1:10000)
Immunohistochemistry (IHC) (recommended dilution: 1:20-1:200)
Western blotting (validated but specific dilution recommendations not provided)
For optimal results in each application, researchers should perform antibody titration experiments with positive and negative controls to determine the ideal concentration for their specific experimental conditions and sample types.
This rabbit polyclonal antibody demonstrates high reactivity with human samples and has been specifically designed against a peptide sequence around site of Ser (17) derived from Human Histone H1.5 . While the antibody's primary validation has been in human samples, cross-reactivity testing with other species should be performed if applying this antibody to non-human models. Researchers working with model organisms should conduct preliminary validation experiments to confirm reactivity before proceeding with full-scale studies.
While the product documentation doesn't specifically mention ChIP applications, the demonstrated ability of HIST1H1B to bind to gene promoters (such as CSF2) suggests potential utility in ChIP assays . For ChIP optimization:
Cross-linking optimization: Test different formaldehyde concentrations (0.5-1.5%) and incubation times (5-15 minutes) to preserve HIST1H1B-DNA interactions without overfixing.
Chromatin fragmentation: Aim for fragments between 200-500bp for optimal resolution.
Antibody amount: Begin with 2-5 μg antibody per ChIP reaction and adjust based on preliminary results.
Include appropriate controls: IgG negative control and a positive control targeting a known HIST1H1B binding site such as the CSF2 promoter region.
The direct binding of HIST1H1B to the CSF2 promoter was successfully demonstrated using ChIP assay in SUM159 cells, providing a methodological blueprint for similar experiments .
Research indicates HIST1H1B expression is significantly higher in basal-like breast cancer (BLBC) compared to other subtypes . To accurately assess these variations:
Multi-level analysis approach:
mRNA expression: Quantitative real-time PCR validated with multiple reference genes
Protein expression: Western blotting and IHC with HIST1H1B (Ab-17) Antibody
Genomic analysis: Copy number variation (CNV) assessment
Epigenetic analysis: Promoter methylation status evaluation
Reference data comparison:
Breast Cancer Subtype | Relative HIST1H1B Expression | Copy Number Status | Promoter Methylation |
---|---|---|---|
Basal-like | High | Frequently amplified | Hypomethylated |
Luminal | Low | Typically normal | Relatively higher methylation |
When studying HIST1H1B, researchers should consider its post-translational modifications (PTMs), which may affect epitope recognition by the antibody and protein function. The HIST1H1B (Ab-17) Antibody specifically targets a peptide sequence around Ser (17) , making it potentially sensitive to phosphorylation at this site. Consider these methodological approaches:
Perform parallel detection with phosphorylation-specific and total HIST1H1B antibodies
Use phosphatase treatments on a subset of samples to determine if PTMs affect antibody recognition
Employ mass spectrometry to identify and characterize PTMs on HIST1H1B in your experimental system
Design functional studies to determine if PTMs alter HIST1H1B's ability to bind the CSF2 promoter and regulate gene expression
For immunohistochemistry applications, follow these methodological guidelines:
Sample preparation:
Use formalin-fixed, paraffin-embedded (FFPE) tissues sectioned at 4-5 μm
Perform heat-induced epitope retrieval (HIER) with citrate buffer (pH 6.0)
Staining protocol:
Scoring system:
Develop a semi-quantitative scoring system that accounts for both staining intensity and percentage of positive cells
Consider digital pathology tools for objective quantification
Non-specific binding can complicate HIST1H1B detection. Address this methodologically through:
Blocking optimization:
Test different blocking agents (BSA, normal serum, commercial blockers)
Extend blocking time to 1-2 hours at room temperature
Antibody dilution series:
Perform a systematic titration (e.g., 1:20, 1:50, 1:100, 1:200)
Determine the optimal signal-to-noise ratio for your specific samples
Cross-reactivity testing:
Validate specificity using HIST1H1B knockdown samples as negative controls
Perform peptide competition assays with the immunizing peptide
Sample-specific adjustments:
For tissues with high endogenous peroxidase activity, extend the quenching step
For tissues with high background, include additional washing steps with 0.1% Triton X-100
Based on published research, HIST1H1B expression correlates with several clinicopathological parameters in breast cancer . To quantitatively assess this relationship:
Expression quantification methods:
For IHC: Use H-score or Allred scoring systems
For Western blotting: Normalize HIST1H1B signal to appropriate loading controls (β-actin, GAPDH)
For qRT-PCR: Employ the 2^-ΔΔCt method with validated reference genes
Statistical approaches:
Categorical analysis: Stratify patients into high vs. low HIST1H1B expression groups using median or quartile cutoffs
Continuous analysis: Use HIST1H1B expression as a continuous variable in regression models
Survival analysis: Apply Kaplan-Meier analysis with log-rank test as demonstrated in the NKI295 dataset
Integrated analysis:
Correlate HIST1H1B protein expression with mRNA levels
Analyze HIST1H1B expression in relation to tumor size, grade, and metastatic status
Perform multivariate analysis to determine independent prognostic value
Research has shown that high HIST1H1B expression correlates with larger tumor size, higher tumor grade (especially Grade 3), increased probability of metastasis, and poor survival .
Researchers often encounter discrepancies between different molecular analyses of HIST1H1B. Use these methodological approaches to reconcile such variations:
Integrated analysis workflow:
Assess HIST1H1B copy number variations (CNVs)
Measure promoter methylation status
Quantify mRNA expression
Determine protein levels using the HIST1H1B (Ab-17) Antibody
Reconciliation strategies:
For discrepancies between copy number and expression, examine promoter methylation status, as hypomethylation can increase expression even without copy number changes
For discrepancies between mRNA and protein levels, investigate post-transcriptional regulation and protein stability
Consider technical limitations of each platform and normalize appropriately
Validation approaches:
Use multiple methodologies for critical findings
Compare results across different patient cohorts or cell line models
Integrate with functional data (e.g., CSF2 expression levels)
HIST1H1B has been shown to upregulate colony-stimulating factor 2 (CSF2) expression by binding to its promoter . To investigate this regulatory mechanism:
Chromatin binding studies:
Perform ChIP assays focusing on the CSF2 promoter region
Use sequential ChIP (re-ChIP) to identify co-binding factors
Expression correlation analysis:
Assess CSF2 levels after HIST1H1B knockdown or overexpression
Use the HIST1H1B (Ab-17) Antibody to confirm protein levels in these models
Functional validation approaches:
Reporter assays with wild-type and mutated CSF2 promoter constructs
CRISPR-based genome editing of HIST1H1B binding sites in the CSF2 promoter
Downstream signaling studies:
Based on published research, HIST1H1B expression promotes tumorigenicity in breast cancer models . To use the antibody in such studies:
In vitro experimental setup:
Establish stable cell lines with HIST1H1B overexpression or knockdown
Perform proliferation assays (doubling time, MTT, BrdU incorporation)
Conduct soft-agar colony formation assays
Use mammosphere formation assays to assess cancer stem cell properties
In vivo model development:
Use SCID mice for xenograft studies as described in the research
Inject 5×10^6 cells with altered HIST1H1B expression
Monitor tumor growth every 2-4 days for approximately 30 days
Use the antibody for tumor tissue analysis post-excision
Antibody application in tumor analysis:
Perform IHC on tumor sections to confirm HIST1H1B expression status
Correlate HIST1H1B levels with tumor weight and volume
Assess CSF2 expression in the same sections
Translational correlation:
Validate findings using patient-derived xenograft (PDX) models
Compare results with clinical data on tumor size, grade, and HIST1H1B expression in patients