The H1F0 (Ab-107) Antibody is a polyclonal rabbit-derived immunoglobulin designed to target the human histone H1.0 protein, a linker histone critical for chromatin compaction and cellular stress responses. Synonyms include H10, H1FV, and histone H1.0, with the antibody specifically recognizing an epitope near lysine 107 (Ab-107). This antibody is widely used in research to study chromatin dynamics, fibrosis, and myofibroblast activation .
Histone H1.0 is essential for chromatin compaction and fibroblast activation, linking mechanical stress to transcriptional reprogramming . Key findings include:
Fibrosis: Depletion of H1.0 prevents TGF-β-induced myofibroblast activation, ECM deposition, and contractile gene expression (e.g., THBS4, periostin, αSMA) .
Chromatin Remodeling: H1.0 modulates H3K27 acetylation (H3K27Ac) via HDACs and BRD4, regulating transcription of cytoskeletal and ECM genes .
Cellular Mechanics: H1.0 affects nuclear deformability, stress fiber formation, and migration, as shown in cardiac and skin fibroblasts .
The H1F0 (Ab-107) Antibody enables precise detection of H1.0 in:
Specificity: Targets H1.0 without cross-reactivity to other H1 variants (e.g., H1.2, H1.3, H1.5) .
Limitations: Requires validation in specific cell types due to variable H1.0 expression (e.g., absent in HeLa cells) .
H1F0 (Ab-107) Antibody is a rabbit polyclonal antibody that targets the human Histone H1.0 protein, specifically recognizing a peptide sequence around the Lysine-107 site. This antibody serves as a crucial tool for investigating chromatin condensation and higher-order structural organization within the nucleus .
Histone H1.0 is particularly important in cellular differentiation contexts, as it is predominantly found in cells that have reached terminal stages of differentiation or exhibit low rates of cell division . Recent research has revealed that H1F0 plays a significant role in coupling cellular mechanical behaviors to chromatin remodeling, particularly in fibroblast activation processes and cellular responses to mechanical stimuli . Using this antibody enables researchers to investigate these specialized chromatin regulatory mechanisms in differentiated cells.
H1F0 exhibits several distinctive characteristics compared to other somatic H1 histone variants:
Genomic location: The H1F0 gene is located on a different chromosome than most other histone genes, which are typically clustered on chromosome 6 in humans .
mRNA processing: Unlike most somatic H1 histones which are transcribed in a replication-dependent manner with a characteristic stem-loop in the 3'-UTR region, H1F0 mRNA is replication-independent and undergoes polyadenylation .
Expression timing: While often associated with differentiated cells, H1F0 expression is not strictly limited to fully differentiated cells. Studies using transgenic mice have shown early expression of H1F0 in developing brain, retina, and certain blood vessels, suggesting its expression can precede terminal differentiation in some cell types .
Nuclear localization: H1F0 is particularly abundant at nucleoli-associated DNA domains (NADs), rDNA, and other repeated sequences involved in nucleolar organization .
These distinct characteristics make H1F0 a unique marker for studying specialized chromatin states in differentiation processes and cellular quiescence.
The H1F0 (Ab-107) Antibody has been validated for multiple experimental applications with specific recommended dilutions:
| Application | Recommended Dilution | Validated Species |
|---|---|---|
| Western Blot (WB) | 1:200-1:2000 | Human, Rat |
| Immunofluorescence (IF) | 1:50-1:200 | Human, Rat |
| ELISA | Application-dependent | Human, Rat |
| Immunohistochemistry (IHC) | ~1μg/ml | Human, Mouse, Rat |
| Flow Cytometry | ~1μg/1x10^6 cells | Human |
The antibody has been specifically tested and validated in various cellular and tissue models, including human cell lines (U20S, PC-3, Caco-2, HepG2), rat cell lines (PC-12), and mouse cell lines (RAW264.7) . Western blot analysis typically shows a band at approximately 21-24 kDa, corresponding to the predicted size of Histone H1.0 .
Sample preparation varies by application and tissue type:
For Western Blot:
Cell lysate preparation: For optimal detection of nuclear proteins like H1F0, use specialized nuclear extraction protocols rather than whole-cell lysates to enrich the histone fraction .
Loading requirements: Load approximately 30μg of protein per lane under reducing conditions .
Denaturation: Standard SDS-PAGE gel (5-20%) run at 70V (stacking gel) followed by 90V (resolving gel) for 2-3 hours .
Transfer conditions: Transfer to nitrocellulose membrane at 150mA for 50-90 minutes .
Blocking: Use 5-10% non-fat milk in TBS for 1.5 hours at room temperature .
Primary antibody incubation: Dilute antibody to 0.5-1.5μg/ml and incubate overnight at 4°C .
For Immunohistochemistry:
Fixation: Paraffin-embedded tissue sections provide optimal results .
Antigen retrieval: Heat-mediated antigen retrieval in citrate buffer (pH 6.0) for 20 minutes is crucial for exposing the H1F0 epitope .
Blocking: 10% goat serum is recommended to reduce background staining .
Detection system: Streptavidin-Biotin-Complex (SABC) with DAB as the chromogen yields consistent results .
For Immunofluorescence:
Fixation: Paraformaldehyde fixation is recommended for preserving nuclear structure .
Permeabilization: Ensure adequate nuclear permeabilization to allow antibody access to chromatin-bound H1F0 .
Optimizing H1F0 detection requires consideration of tissue-specific expression patterns and potential technical challenges:
Expression level assessment: H1F0 expression varies significantly across tissues, with higher expression in terminally differentiated cells. Preliminary experiments with positive controls (such as liver tissue or differentiated cell lines) are recommended to establish baseline detection parameters .
Signal amplification strategies:
For low-expressing tissues: Consider using signal amplification methods such as tyramide signal amplification (TSA) for IHC or IF applications.
For Western blot analysis: Enhanced chemiluminescence (ECL) detection systems with longer exposure times may be necessary for tissues with low H1F0 expression .
Background reduction:
Optimize blocking conditions using 5-10% serum from the same species as the secondary antibody.
Include additional blocking steps with BSA or commercial blocking reagents to minimize non-specific binding.
Consider longer primary antibody incubation (24-48 hours at 4°C) at higher dilutions (1:1000-1:5000) to improve signal-to-noise ratio .
Nuclear counterstaining: For IF or IHC, use DAPI or hematoxylin counterstaining to facilitate identification of nuclear H1F0 localization patterns, particularly in tissues with complex architecture .
When designing experiments to investigate H1F0 in differentiation models, include the following controls:
Positive tissue controls:
Cellular differentiation controls:
Undifferentiated precursor cells (low H1F0 expression).
Terminally differentiated cells (high H1F0 expression).
Intermediate differentiation stages to track H1F0 upregulation dynamics.
Technical controls:
Antibody specificity control: Include H1F0 knockdown or knockout samples if available.
Secondary antibody-only control to assess non-specific binding.
Isotype control (non-targeting rabbit IgG) at the same concentration as the primary antibody.
Comparative histone variant controls:
Consider parallel detection of replication-dependent H1 variants to establish the relative expression patterns during differentiation.
Including these controls enables proper interpretation of H1F0 expression changes throughout differentiation processes and helps distinguish technical artifacts from biologically meaningful observations .
Recent research has revealed that H1F0 plays a critical role in coupling cellular mechanical behaviors to chromatin reorganization, particularly in fibroblast activation. To investigate this relationship, researchers can employ the following methodological approaches using the H1F0 (Ab-107) Antibody:
Chromatin accessibility analysis:
Mechanical stimulation models:
Transcriptional regulation analysis:
Signaling pathway integration:
These approaches can help elucidate the molecular mechanisms by which H1F0 coordinates the cellular response to mechanical cues through selective chromatin remodeling and transcriptional regulation.
H1F0 is particularly abundant at nucleoli-associated DNA domains (NADs) and rDNA repeats, suggesting specialized functions in nucleolar organization. To investigate this role:
Nucleolar co-localization studies:
Perform co-immunofluorescence with the H1F0 (Ab-107) Antibody and nucleolar markers (fibrillarin, nucleolin, or UBF) to quantify H1F0 enrichment in nucleoli across different cell states.
Use super-resolution microscopy techniques (STED, STORM) to visualize the fine distribution of H1F0 within nucleolar subcompartments .
rDNA regulation analysis:
Apply ChIP-qPCR targeting rDNA promoter and coding regions to quantify H1F0 occupancy at different rDNA loci.
Combine with rRNA expression analysis to correlate H1F0 binding with transcriptional output of rDNA.
Nucleolar stress response:
Monitor H1F0 redistribution during nucleolar stress induced by actinomycin D, DRB, or other RNA polymerase I inhibitors.
Assess how H1F0 depletion affects nucleolar reorganization under stress conditions.
Proteomics approaches:
Use the antibody for immunoprecipitation followed by mass spectrometry to identify nucleolar-specific interaction partners of H1F0.
Apply proximity labeling techniques (BioID, APEX) to map the H1F0 interactome specifically within the nucleolar compartment.
These methodological approaches can help decipher H1F0's specialized functions in maintaining nucleolar structure and regulating rDNA transcription, which are particularly relevant in terminally differentiated cells .
Higher molecular weight bands (23-24 kDa):
Post-translational modifications: H1F0 can undergo various modifications including phosphorylation, methylation, and acetylation that alter its migration pattern.
Validation data indicates that in some cell lines, H1F0 may appear at approximately 24 kDa .
Methodological approach: Perform phosphatase treatment of samples to determine if the shifted band is due to phosphorylation. Alternatively, use mass spectrometry to identify specific modifications.
Multiple bands:
Proteolytic processing: H1F0 can undergo N-terminal processing, resulting in multiple forms . The search results mention "H1F0, N-terminally processed" as a cleaved product.
Cross-reactivity: Ensure the observed pattern is not due to cross-reactivity with other H1 variants by including appropriate controls.
Verification approach: Use an alternative H1F0 antibody targeting a different epitope to confirm the banding pattern.
Weak or absent signal:
Expression levels: H1F0 expression is highly tissue-dependent, with enrichment in terminally differentiated cells.
Extraction efficiency: Histone proteins require specialized extraction protocols; insufficient extraction can result in weak signals.
Optimization strategy: Enrich for nuclear proteins using a nuclear extraction protocol rather than whole-cell lysates .
When interpreting Western blot results, researchers should consider the cell/tissue type, differentiation state, and extraction method, as these factors significantly influence H1F0 detection patterns.
Immunohistochemical detection of H1F0 can present several technical challenges due to its nuclear localization and expression pattern variations:
Inadequate antigen retrieval:
Challenge: Nuclear proteins like H1F0 are often masked by formalin-induced cross-linking and chromatin compaction.
Solution: Heat-mediated antigen retrieval in citrate buffer (pH 6.0) for at least 20 minutes is critical for exposing H1F0 epitopes . For particularly challenging samples, consider optimization of retrieval conditions (time, temperature, pH) or try alternative retrieval buffers (EDTA-based, pH 8-9).
Nuclear staining heterogeneity:
Challenge: H1F0 expression varies within tissues based on differentiation status, creating heterogeneous staining patterns that may be misinterpreted as technical artifacts.
Interpretation approach: Compare H1F0 staining with proliferation markers (Ki-67) to confirm the expected inverse correlation. Areas with high proliferation should show lower H1F0 expression .
High background staining:
Challenge: Nuclear proteins can produce high background due to non-specific binding.
Solutions:
Implement stringent blocking with 10% serum (preferably from the same species as the secondary antibody) .
Include additional blocking steps with bovine serum albumin or commercial blocking reagents.
Increase washing steps and durations after antibody incubations.
Optimize primary antibody concentration through titration experiments.
Tissue-specific variations:
Challenge: Different tissues require specific optimization for optimal H1F0 detection.
Approach: The validated protocols for liver, small intestine, lung cancer, and mammary cancer tissues provide starting points for optimization . Begin with these established conditions and adjust based on the specific tissue being examined.
By addressing these technical challenges methodically, researchers can achieve consistent and specific H1F0 detection across diverse tissue types and experimental conditions.
To investigate the relationship between H1F0 distribution and differentiation states:
Single-cell analysis techniques:
Apply single-cell immunofluorescence with the H1F0 (Ab-107) Antibody combined with differentiation markers to quantify H1F0 levels across differentiation trajectories.
Use flow cytometry with fixed and permeabilized cells to correlate H1F0 levels with differentiation markers at the population level .
Spatiotemporal analysis in differentiation models:
Implement time-course studies in differentiation models (e.g., myoblast to myotube conversion, neural progenitor to neuron differentiation) with periodic sampling for H1F0 immunostaining.
Correlate changes in H1F0 distribution patterns with functional differentiation markers and chromatin accessibility alterations.
In vivo developmental studies:
Quantitative image analysis:
Develop quantitative metrics for nuclear H1F0 distribution patterns (e.g., heterochromatin association, nucleolar enrichment).
Apply machine learning algorithms to classify cells based on H1F0 distribution patterns and correlate with differentiation status.
These methodological approaches enable detailed characterization of how H1F0 distribution changes dynamically during cellular differentiation processes, potentially revealing new insights into the role of linker histones in cell fate determination.
Recent research has implicated H1F0 in fibroblast activation and tissue remodeling responses . To investigate its role in pathological fibrosis:
Fibrosis model systems:
Apply the H1F0 (Ab-107) Antibody in immunohistochemical analysis of tissue sections from established fibrosis models (e.g., bleomycin-induced lung fibrosis, carbon tetrachloride-induced liver fibrosis).
Quantify H1F0 levels in activated fibroblasts (identified by α-SMA co-staining) versus quiescent fibroblasts.
Intervention studies:
Mechanical activation analysis:
Implement controlled mechanical activation systems (varying substrate stiffness, cyclic stretching) with simultaneous H1F0 staining to correlate mechanical cues with H1F0-dependent chromatin remodeling.
Analyze ECM production and cell contractility as functional readouts of fibroblast activation.
Transcriptional profiling:
Clinical sample analysis:
Apply the antibody to analyze H1F0 levels in human fibrotic tissue samples compared to healthy controls.
Correlate H1F0 levels with disease severity markers and patient outcomes.