Hpse Antibody

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Description

Introduction to Heparanase (HPSE)

Heparanase (HPSE) is an endo-beta-D-glucuronidase that degrades heparan sulfate side chains of heparan sulfate proteoglycans (HSPGs) in the extracellular matrix (ECM) . This degradation plays a pivotal role in ECM remodeling, facilitating processes such as cell migration, angiogenesis, and inflammation. HPSE is synthesized as a latent 65 kDa precursor that undergoes proteolytic processing to form an active heterodimer composed of 50 kDa and 8 kDa subunits . Also known by several alternative names including endo-glucoronidase, HPA1, HPR1, and HSE1, HPSE belongs to the glycosyl hydrolase 79 family .

Expression patterns of HPSE are tissue-specific, with high levels reported in placenta and spleen and weaker expression in lymph nodes, thymus, peripheral blood leukocytes, bone marrow, endothelial cells, and fetal liver . Notably, HPSE expression is significantly upregulated in various tumor tissues, suggesting its importance in cancer progression and metastasis .

Monoclonal vs. Polyclonal HPSE Antibodies

HPSE antibodies are available in both monoclonal and polyclonal formats, each with distinct advantages depending on the research application.

Polyclonal HPSE antibodies, predominantly raised in rabbits, recognize multiple epitopes of the heparanase protein, offering high sensitivity for detection . These antibodies can target various regions of the HPSE protein, including the N-terminal region, active site domain, or specific peptide sequences . For instance, some polyclonal antibodies are developed using synthetic peptides directed towards the N-terminal region (aa68-117) of human HPSE .

Monoclonal HPSE antibodies, such as mouse IgG1 clones, provide higher specificity and reproducibility compared to their polyclonal counterparts . They typically recognize specific epitopes of the heparanase protein, allowing for consistent results across experiments .

Species Reactivity and Cross-Reactivity

HPSE antibodies demonstrate varying reactivity across species, with most showing strong reactivity with human HPSE . Many antibodies also cross-react with mouse and rat HPSE due to sequence homology . Some antibodies exhibit broader cross-reactivity, potentially recognizing HPSE in species such as cow, dog, horse, pig, and even zebrafish, based on sequence identity analysis .

Antibody TypeHumanMouseRatOther Species
Polyclonal (Rabbit)Cow, Dog, Horse, Pig
Monoclonal (Mouse)-Limited cross-reactivity
ELISA Antibody Pairs--Not specified

Western Blot (WB)

HPSE antibodies are widely employed in Western blot analyses to detect heparanase expression in cell and tissue lysates . Optimal dilutions typically range from 1:200 to 1:8000, depending on the specific antibody and sample type . These antibodies can detect both the 65 kDa precursor and the 50 kDa active form of HPSE . Western blot analyses have been successfully conducted using various cell lines including Jurkat, HepG2, and DU 145 cells, as well as tissue extracts from liver and kidney .

Immunohistochemistry (IHC)

HPSE antibodies are effective for immunohistochemical detection in both paraffin-embedded (IHC-P) and frozen (IHC-F) tissue sections . Recommended dilutions range from 1:20 to 1:1000, with optimal antigen retrieval typically performed using TE buffer (pH 9.0) or citrate buffer (pH 6.0) . Notable applications include detection of HPSE in human placenta, liver cancer tissue, and mouse kidney tissue, providing valuable insights into tissue-specific expression patterns .

Immunofluorescence (IF) and Immunocytochemistry (ICC)

For cellular localization studies, HPSE antibodies are utilized in IF/ICC applications at dilutions ranging from 1:10 to 1:500 . These techniques have successfully visualized HPSE expression in HeLa and HepG2 cells, enabling detailed subcellular localization analysis .

ELISA (Enzyme-Linked Immunosorbent Assay)

Specialized HPSE antibody pairs are available for quantitative sandwich ELISA applications . These pairs typically consist of unconjugated capture and detector antibodies, with a reported detection range of 125-8000 pg/ml and sensitivity of approximately 67.76 pg/ml . ELISA kits have been validated for detection of HPSE in serum, EDTA plasma, citrate plasma, and tissue extracts .

HPSE in Cancer Progression

HPSE in Inflammatory Responses and Sepsis

HPSE antibodies have been instrumental in elucidating the role of heparanase in inflammatory conditions, particularly sepsis . Research has shown that during clinical sepsis, HPSE mRNA expression, translation, and enzymatic activity are significantly upregulated in platelets . Both ribosomal footprint profiling and [S35] methionine labeling assays demonstrated increased HPSE protein synthesis in platelets during sepsis .

Of clinical significance was the finding that while both pro-form and active forms of HPSE protein increased during sepsis, only the active form significantly correlated with sepsis-associated mortality . This research highlights the potential of HPSE as both a biomarker and therapeutic target in sepsis management.

For optimal immunohistochemical detection, the following protocol is generally recommended:

  1. Deparaffinize and rehydrate tissue sections using standard procedures

  2. Perform antigen retrieval using TE buffer (pH 9.0) or citrate buffer (pH 6.0)

  3. Block endogenous peroxidase activity and non-specific binding

  4. Apply primary HPSE antibody at appropriate dilution (1:20-1:1000) and incubate

  5. Apply detection system (e.g., Donkey anti-Rabbit-Cy3 at 1:200 dilution)

  6. Counterstain, dehydrate, and mount

For visualization, researchers have successfully used magnification of 20x with exposure times ranging from 0.5 to 2.0 seconds .

Product Specs

Buffer
Preservative: 0.03% Proclin 300
Constituents: 50% Glycerol, 0.01M PBS, pH 7.4
Form
Liquid
Lead Time
Made-to-order (12-14 weeks)
Synonyms
Heparanase (EC 3.2.1.166) (Endo-glucoronidase) [Cleaved into: Heparanase 8 kDa subunit, Heparanase 50 kDa subunit], Hpse, Hep
Target Names
Hpse
Uniprot No.

Target Background

Function
Heparanase is an endoglycosidase that specifically cleaves heparan sulfate proteoglycans (HSPGs) into heparan sulfate side chains and core proteoglycans. This enzyme plays a critical role in extracellular matrix (ECM) degradation and remodeling. Heparanase selectively cleaves the linkage between a glucuronic acid unit and an N-sulfo glucosamine unit carrying either a 3-O-sulfo or a 6-O-sulfo group. It can also cleave the linkage between a glucuronic acid unit and an N-sulfo glucosamine unit carrying a 2-O-sulfo group, but not linkages between a glucuronic acid unit and a 2-O-sulfated iduronic acid moiety. Heparanase is essentially inactive at neutral pH but becomes active under acidic conditions, such as during tumor invasion and inflammatory processes. This activity facilitates cell migration associated with metastasis, wound healing, and inflammation. Heparanase also enhances the shedding of syndecans, and increases endothelial invasion and angiogenesis in myelomas. It acts as a procoagulant by increasing the generation of activation factor X in the presence of tissue factor and activation factor VII. Additionally, heparanase increases cell adhesion to the ECM, independent of its enzymatic activity. It induces AKT1/PKB phosphorylation via lipid rafts, leading to increased cell mobility and invasion. Heparin enhances this AKT1/PKB activation. Heparanase also regulates osteogenesis and enhances angiogenesis through up-regulation of SRC-mediated activation of VEGF. This enzyme is implicated in hair follicle inner root sheath differentiation and hair homeostasis.
Gene References Into Functions
  1. Heparanase plays a crucial role in mediating the neuroinflammatory response after subarachnoid hemorrhage. PMID: 28720149
  2. Endothelial cell-to-cardiomyocyte transfer of heparanase modulates the cardiomyocyte cell death signature. This mechanism has been observed in the acutely diabetic heart, and its interruption following chronic diabetes may contribute towards the development of diabetic cardiomyopathy. PMID: 27979811
  3. The expression of the gene for heparanase is increased in the right and left ventricles after treatment with monocrotaline. PMID: 26638897
  4. Inhibiting heparanase function could offer a novel strategy for managing cardiomyopathy observed after diabetes. PMID: 24608441
  5. Studies suggest that the heparanase-lipoprotein lipase-VEGF axis amplifies fatty acid delivery, a rapid and adaptive mechanism that is geared to overcome the loss of glucose consumption by the diabetic heart. PMID: 24115032
  6. Active heparanase released lipoprotein lipase from the myocyte surface. PMID: 23471235
  7. Heparanase and TFPI are locally elevated in the process of avascular necrosis and are normalized on treatment. PMID: 23063054
  8. The heparanase gene is involved in heparan sulfate proteoglycans metabolism. PMID: 22339633
  9. HPR1 production is increased in endothelial cells from rat models of diabetes, and in macrophages in atherosclerotic lesions of diabetic and nondiabetic patients. Increased HPR1 production may contribute to the pathogenesis and progression of atherosclerosis. PMID: 21424539
  10. Heparanase was upregulated and associated with increased VEGF in streptozotocin diabetic rat retinas. Heparanase may be involved in the development of diabetic retinopathy and may be a possible novel target for therapeutic intervention. PMID: 20130710
  11. Characterization of a novel intracellular heparanase that has a FERM domain. PMID: 11988100
  12. Characterization of rat heparanase activity in a parathyroid cell line. PMID: 12077130
  13. Heparanase gene transcription is regulated in activated T cells by early growth response 1. PMID: 14522979
  14. Heparanase plays a role in ovarian tissue remodeling during folliculogenesis and corpus luteum formation and regression. PMID: 15728796
  15. Heparanase contributes to the pathogenesis of proteinuria in a model of anti-GBM disease. PMID: 15877677
  16. Research describes the cellular localization of heparanase and its colocalization with syndecan-3 in spinal cords of adult rats. PMID: 16320243
  17. These results suggest the involvement of radicals and angiotensin II in the modulation of glomerular basement membrane permeability through heparan sulfate and heparanase expression. PMID: 16899518
  18. HPSE is involved in the pathogenesis of proteinuria in overt diabetic nephropathy by degradation of heparan sulfates. PMID: 17051139
  19. The expression of heparanase by astrocytes may correlate with the time of migration of reactive astrocytes toward the ischemic core, resulting in astrogliosis. This suggests a novel role of heparanase in the pathophysiology of brain ischemia. PMID: 17368723
  20. Results suggest the involvement of heparanase in the migration or invasion of microglia or brain macrophages across basement membrane around brain vasculature. PMID: 18222122
  21. Results suggest that heparanase expression increases after castration and correlates with decreased heparan sulfate; variation in heparanase expression is involved in tissue remodeling and control of the regressive pattern after 1 week of androgen deprivation. PMID: 18278514
  22. There is a role for heparanase in the regulation of arterial structure, mechanics, and repair. PMID: 19096032
  23. Following hyperglycemia, translocation of lipoprotein lipase from cardiomyocytes to endothelial cells is dependent on fatty acids to increase endothelial intracellular heparanase followed by secretion of heparanase by glucose. PMID: 19218500

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Database Links

KEGG: rno:64537

UniGene: Rn.6392

Protein Families
Glycosyl hydrolase 79 family
Subcellular Location
Lysosome membrane; Peripheral membrane protein. Secreted. Nucleus.

Q&A

What is HPSE and why is it significant in research applications?

HPSE (Heparanase) is an endoglycosidase that specifically cleaves heparan sulfate proteoglycans (HSPGs) into heparan sulfate side chains and core proteoglycans. It belongs to the glycosyl hydrolase 79 family and is also known by alternative names including HEP, HPA, HPA1, HPR1, HPSE1, and HSE1 . The significance of HPSE in research stems from its critical role in multiple biological processes, particularly in extracellular matrix remodeling and cellular migration.

The protein has a calculated molecular weight of approximately 61 kDa (543 amino acids) while the observed molecular weight in experimental conditions is approximately 60 kDa . This slight discrepancy between calculated and observed weights is common for glycoproteins and can provide valuable information about post-translational modifications when properly analyzed. Research applications focusing on HPSE are particularly important in cancer research, inflammation studies, and angiogenesis investigations due to its role in tissue remodeling.

What are the fundamental applications for HPSE antibodies in laboratory research?

HPSE antibodies demonstrate versatility across multiple experimental applications, making them valuable tools in research settings. Based on validated application data, the primary applications include:

ApplicationPurposeTypical DilutionsCitation Evidence
Western Blot (WB)Protein expression quantification1:1000-1:80009 published studies
Immunohistochemistry (IHC)Tissue localization1:20-1:2005 published studies
Immunofluorescence (IF/ICC)Cellular localization1:10-1:1001 published study
ELISAQuantitative detectionVariousReferenced in methodology

What cell lines and tissues show positive reactivity with HPSE antibodies?

HPSE antibodies demonstrate reliable detection across multiple cell lines and tissue types. Based on extensive validation studies, positive Western blot detection has been confirmed in:

  • HeLa cells

  • HepG2 cells

  • Jurkat cells

  • Mouse liver tissue

For immunohistochemistry applications, positive detection has been achieved in:

  • Human liver cancer tissue

  • Human placenta tissue

Immunofluorescence applications have shown clear reactivity in:

  • HeLa cells

  • HepG2 cells

  • NIH/3T3 cells

The reactivity profile shows that HPSE antibodies are particularly valuable for both human and mouse experimental systems, with evidence suggesting potential reactivity in rat models as well . When planning experiments with new cell lines or tissues not listed, preliminary validation is strongly recommended to establish optimal conditions.

What antigen retrieval methods are optimal for HPSE detection in fixed tissues?

Antigen retrieval is critical for successful HPSE detection in fixed tissue samples due to the masking of epitopes during fixation processes. Two principal methods are recommended for HPSE antibodies:

  • Heat-Induced Epitope Retrieval (HIER):

    • Recommended buffer: TE buffer at pH 9.0 (primary recommendation)

    • Alternative buffer: Sodium citrate buffer at pH 6.0

    • Temperature parameters: >90°C for up to 30 minutes (optimal balance of epitope retrieval and tissue preservation)

    • Equipment options: Automated pressure cooker (preferred for consistency), steamer, microwave, or autoclave

  • Microwave Heating Protocol:

    • Conduct two 5-minute heating cycles with a 1-minute rest interval between cycles

    • Maintain buffer levels to prevent tissue drying

The selection between HIER methods depends on laboratory equipment availability and tissue type. The inverse correlation between heating temperature and time should be considered when optimizing protocols (higher temperatures require shorter heating times) . For particularly challenging samples, enzymatic methods may be considered as alternatives.

How should researchers troubleshoot weak or non-specific signals in HPSE antibody applications?

When encountering weak or non-specific signals in HPSE antibody applications, a systematic troubleshooting approach is recommended:

IssuePotential CauseSolution Strategy
Weak WB SignalInsufficient proteinIncrease sample loading (25μg per lane recommended)
Weak WB SignalInsufficient antibodyOptimize dilution (start at 1:1000 for HPSE antibodies)
Weak IHC SignalInadequate antigen retrievalExtend retrieval time or try alternative buffer (TE pH 9.0 vs. citrate pH 6.0)
High BackgroundNon-specific bindingOptimize blocking (use 3% nonfat dry milk in TBST for WB)
Non-specific BandsCross-reactivityValidate with knockout/knockdown controls
Inconsistent ResultsTemperature variationsStandardize incubation conditions (37°C for antigen retrieval)

For immunofluorescence applications specifically, nuclear counterstaining with DAPI improves localization accuracy, and dilution optimization between 1:100-1:500 for secondary antibodies is recommended based on demonstrated protocols . Additionally, for samples with longer fixation times, extending proteolytic digestion in PIER methods may improve epitope accessibility .

What controls should be incorporated when validating HPSE antibody specificity?

Rigorous validation of HPSE antibody specificity requires the incorporation of multiple controls:

  • Positive Controls:

    • Use known HPSE-expressing cell lines (HeLa, HepG2, Jurkat)

    • Include positive tissue samples (human liver cancer, placenta)

  • Negative Controls:

    • Primary antibody omission (to assess secondary antibody specificity)

    • Isotype controls (rabbit IgG at equivalent concentration)

    • Pre-absorption with immunizing peptide (when available)

  • Expression Modulation Controls:

    • HPSE knockdown/knockout samples

    • HPSE overexpression systems

  • Specificity Verification:

    • Molecular weight confirmation (observed at approximately 60 kDa)

    • Detection of expected expression patterns in tissues/cells

  • Technical Validation:

    • Multiple antibody lots testing

    • Multiple detection methods (WB, IHC, IF) for concordance

Implementing this comprehensive validation strategy provides confidence in experimental results and reduces the risk of artifacts or misinterpretation. Documentation of these validation steps is increasingly required for publication in high-impact journals.

How can HPSE antibodies be optimized for multiplexed immunofluorescence applications?

Multiplexed immunofluorescence with HPSE antibodies requires careful optimization to prevent cross-reactivity and signal interference while maximizing detection sensitivity:

  • Antibody Selection Strategy:

    • Choose primary antibodies from different host species when possible

    • If using multiple rabbit antibodies (like HPSE rabbit pAb), sequential staining with complete stripping between rounds is recommended

    • Validate spectral separation of selected fluorophores to prevent bleed-through

  • Optimized Protocol:

    • Primary antibody dilution: 1:100 for HPSE antibody

    • Secondary antibody: Cy3-conjugated anti-rabbit IgG at 1:500

    • Counterstain: DAPI for nuclear visualization

    • Sequential imaging to minimize photobleaching

  • Technical Considerations:

    • Implement proper controls for each antibody in the panel

    • Perform single-stain controls to establish baseline signals

    • Consider tyramide signal amplification for low-abundance targets

    • Use spectral unmixing for closely overlapping fluorophores

The integration of these approaches has been successfully demonstrated in NIH/3T3 and HeLa cells, providing clear subcellular localization data . For tissue sections, additional optimization may be required due to increased autofluorescence and reduced antibody penetration.

What quantitative approaches can accurately measure HPSE levels using antibody-based methods?

Accurate quantification of HPSE requires calibrated approaches tailored to specific experimental questions:

  • Western Blot Quantification:

    • Load protein standards alongside samples (25μg per lane recommended)

    • Use internal loading controls (GAPDH, β-actin)

    • Employ digital image analysis with dynamic range validation

    • Apply four-parameter nonlinear regression for standard curves

  • ELISA-Based Quantification:

    • Develop sandwich ELISA with anti-HPSE capture and detection antibodies

    • Generate standard curves using purified HPSE or validated cell lysates

    • Calculate concentrations by interpolation from standard curves

    • Validate with spike-recovery experiments (80-120% recovery indicates reliability)

  • Immunofluorescence Quantification:

    • Standardize image acquisition parameters (exposure, gain)

    • Perform z-stack imaging for total protein assessment

    • Use automated image analysis platforms with validated algorithms

    • Include reference standards in each experimental batch

  • Tissue Microarray Analysis:

    • Apply digital pathology scoring systems

    • Use machine learning algorithms for unbiased quantification

    • Incorporate multi-parameter analysis for contextual assessment

How can researchers effectively transition between different detection methods when using HPSE antibodies?

Transitioning between detection methods requires methodological adjustments to maintain consistent and comparable HPSE detection:

  • From Western Blot to Immunohistochemistry:

    • Adjust antibody concentration (WB 1:1000-1:8000 → IHC 1:20-1:200)

    • Implement appropriate antigen retrieval (not required for WB)

    • Optimize incubation conditions (temperature, time)

    • Validate with known positive controls in both systems

  • From Immunohistochemistry to Immunofluorescence:

    • Adjust antibody dilution (IHC 1:20-1:200 → IF 1:10-1:100)

    • Select compatible fluorophore-conjugated secondary antibodies

    • Implement measures to reduce autofluorescence

    • Assess signal-to-noise ratio in parallel with chromogenic detection

  • From Cell Lines to Tissue Samples:

    • Adjust fixation protocols to tissue-specific requirements

    • Extend antigen retrieval time for densely fixed tissues

    • Consider tissue-specific blocking reagents to reduce background

    • Validate with known expression patterns in target tissues

  • Cross-Platform Validation:

    • Confirm concordance between methods for the same sample

    • Document method-specific limitations

    • Standardize quantification approaches across platforms

    • Interpret differences in context of methodological constraints

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