HSD11B2 antibodies are immunoreagents designed to detect and quantify the HSD11B2 enzyme in biological samples. This enzyme is primarily expressed in aldosterone-sensitive tissues (e.g., kidney, colon) and the placenta, where it protects against cortisol-induced mineralocorticoid receptor activation . The antibody facilitates studies on:
Glucocorticoid metabolism: Monitoring cortisol inactivation in renal and placental tissues .
Disease mechanisms: Investigating conditions like apparent mineralocorticoid excess (AME) and Cushing’s syndrome .
Cancer research: Assessing HSD11B2’s role in promoting metastasis via pathways like Fgfbp1-AKT in colorectal cancer .
HSD11B2 overexpression in colorectal cancer (CRC) cells enhances migration and invasion by upregulating Fgfbp1 and phosphorylating AKT. Knockdown of Fgfbp1 or AKT inhibits these effects, suggesting therapeutic targeting potential .
DNA methylation represses HSD11B2 expression. Demethylating agents like 5-aza-2′-deoxycytidine restore enzyme activity, implicating epigenetic mechanisms in diseases such as hypertension .
In adrenal adenomas, HSD11B2 expression inversely correlates with cortisol levels, aiding in distinguishing nonfunctional tumors from those causing Cushing’s syndrome .
The North American HSD11B2 antibody market is projected to grow at a 13.1% CAGR (2024–2030), driven by rising demand in metabolic disease research and personalized medicine .
| Parameter | 2022 | 2030 Projection |
|---|---|---|
| Market Size (USD) | 0.06B | 0.14B |
| Key Growth Drivers | Increased research funding, diagnostic advancements |
HSD11B2 (hydroxysteroid 11-beta dehydrogenase 2) is a microsomal enzyme complex that catalyzes the conversion of biologically active cortisol to inactive cortisone. This enzyme plays a critical role in regulating intracellular glucocorticoid levels, thereby protecting the nonselective mineralocorticoid receptor from occupation by glucocorticoids . The enzyme is encoded by the HSD11B2 gene (Gene ID: 3291) and has a calculated molecular weight of approximately 44 kDa (405 amino acids), though the observed molecular weight in experimental conditions typically ranges from 40-43 kDa . HSD11B2 is primarily localized in the cytoplasm and is expressed in tissues such as kidney and placenta, where it plays crucial roles in hormone regulation .
Current research-grade HSD11B2 antibodies are predominantly rabbit polyclonal antibodies, though they vary in their specific epitope targets and applications. Common variants include:
Most available antibodies are unconjugated and purified through protein A columns, often followed by peptide affinity purification . These antibodies typically display reactivity against human samples, with many also cross-reacting with mouse and rat HSD11B2. Some demonstrate broader cross-reactivity with species such as horse, cow, guinea pig, rabbit, and sheep samples .
While the search results primarily describe polyclonal antibodies, it's important to understand the methodological differences between antibody types. Polyclonal antibodies like those described in the search results (14192-1-AP, bs-3618R, CAB8077) recognize multiple epitopes on the HSD11B2 protein, providing higher sensitivity but potentially lower specificity .
For HSD11B2 research, polyclonal antibodies offer advantages when:
Detecting low-abundance protein in tissues like kidney and placenta
Studying species variants due to potential cross-reactivity
Performing protein detection under denaturing conditions (Western blot)
The trade-off is that batch-to-batch variation can occur with polyclonal antibodies. Research requiring absolute epitope specificity might benefit from monoclonal antibodies, though these would need validation for specific applications. When selecting an antibody for HSD11B2 research, consider the experimental conditions, detection method, and specific research question to determine whether the broader epitope recognition of polyclonal antibodies outweighs the consistency of monoclonals for your particular application.
The optimal dilution of HSD11B2 antibodies varies by application and specific antibody. Based on the search results, here is a comprehensive table of recommended dilutions:
| Application | Antibody 14192-1-AP | Antibody bs-3618R | ABIN950176 |
|---|---|---|---|
| Western Blot (WB) | 1:1000-1:4000 | 1:300-5000 | Recommended, dilution not specified |
| IHC-Paraffin (IHC-P) | 1:20-1:200 | 1:200-400 | Recommended, dilution not specified |
| IHC-Frozen (IHC-F) | Not specified | 1:100-500 | Not specified |
| Immunofluorescence (IF) | Recommended for IF | 1:50-200 (IHC-P/F), 1:50-200 (ICC) | Not specified |
| ELISA | Recommended | 1:500-1000 | Not specified |
| Flow Cytometry (FACS) | Not specified | Not specified | Recommended, dilution not specified |
For optimal results, it's recommended to titrate these antibodies in each testing system as results can be sample-dependent . For IHC applications with antibody 14192-1-AP, antigen retrieval with TE buffer pH 9.0 is suggested, with citrate buffer pH 6.0 as an alternative option .
When validating HSD11B2 antibodies, the following positive controls have been confirmed effective:
Tissue samples: Human placenta tissue, human kidney tissue, and mouse kidney tissue have been validated as positive controls for Western blot applications
Cell lines: Transfected HEK-293 cells expressing HSD11B2 serve as excellent positive controls
Knockdown/Knockout validation: Several publications have utilized knockdown/knockout systems for validating antibody specificity, as noted in the search results
When selecting a positive control, consider the species reactivity of your antibody. For example, antibody 14192-1-AP has demonstrated reactivity with human, mouse, and rat samples, while bs-3618R shows reactivity with mouse, rat, and horse samples . The expected molecular weight for HSD11B2 is 40-43 kDa, which serves as an important verification parameter for Western blot applications .
Effective sample preparation is critical for obtaining reliable results with HSD11B2 antibodies. For Western blot applications, the following methodological considerations should be implemented:
Tissue homogenization: For kidney or placental tissue, use a buffer containing protease inhibitors to prevent degradation of HSD11B2 protein, which is sensitive to proteolytic cleavage
Protein extraction: Since HSD11B2 is primarily localized in the cytoplasm , cytoplasmic extraction protocols are suitable
Sample denaturation: Standard denaturation with SDS and reducing agents is compatible with the antibodies described in the search results
Loading control: Include appropriate loading controls specific to the subcellular fraction being analyzed
For immunohistochemistry, the search results indicate:
Fixation: Paraformaldehyde fixation is compatible with these antibodies
Antigen retrieval: For antibody 14192-1-AP, use TE buffer pH 9.0, with citrate buffer pH 6.0 as an alternative
Blocking: Standard blocking with serum or BSA is suitable for reducing background
The storage conditions for these antibodies are typically -20°C, and they remain stable for one year after shipment. Aliquoting is unnecessary for -20°C storage of antibody 14192-1-AP . For long-term storage, avoid repeated freeze-thaw cycles to maintain antibody performance .
When troubleshooting weak or absent HSD11B2 signal in Western blots, consider the following methodological approaches:
Optimization of antibody concentration: While the recommended dilution ranges are provided (1:1000-1:4000 for 14192-1-AP; 1:300-5000 for bs-3618R), initially use a higher concentration (less diluted) and then optimize for specific samples
Sample preparation adjustments:
Ensure adequate protein extraction from tissues known to express HSD11B2 (kidney, placenta)
Include protease inhibitors to prevent degradation
Try different lysis buffers if the standard protocol yields inconsistent results
Detection system evaluation:
Enhance sensitivity by using high-sensitivity chemiluminescent substrates
Consider longer exposure times for weak signals
Try signal amplification systems for low-abundance samples
Technical considerations:
Verify transfer efficiency using reversible staining methods
Ensure proper primary antibody binding time (overnight at 4°C may improve signal)
Check antibody storage conditions and expiration dates
Positive controls: Include known positive controls such as human kidney or placenta tissue or transfected HEK-293 cells expressing HSD11B2
If signal remains weak despite these adjustments, consider that HSD11B2 expression levels vary significantly between tissues and may be influenced by experimental conditions or disease states being studied.
Non-specific binding can complicate interpretation of results when using HSD11B2 antibodies. Common artifacts and methodological solutions include:
Multiple bands in Western blots:
Bands at other molecular weights may represent non-specific binding, proteolytic fragments, or isoforms
Increase blocking time or blocking agent concentration (e.g., 5% BSA instead of 3%)
Perform additional washes with increased Tween-20 concentration (0.1% to 0.3%)
Background staining in immunohistochemistry:
Optimize antigen retrieval conditions (TE buffer pH 9.0 or citrate buffer pH 6.0)
Increase blocking time and concentration
Dilute primary antibody further (within recommended ranges: 1:20-1:200 for 14192-1-AP, 1:200-400 for bs-3618R)
Use species-specific blocking reagents to minimize cross-reactivity
Validation through controls:
Include negative controls (omitting primary antibody)
Use knockdown/knockout samples as specificity controls
Pre-absorb antibody with immunizing peptide if available
Cross-reactivity considerations:
Be aware of potential cross-reactivity with related proteins, especially when using polyclonal antibodies
Verify results with a second antibody targeting a different epitope of HSD11B2
These methodological adjustments can significantly improve signal-to-noise ratio and increase confidence in the specificity of observed signals.
Interpreting differences in HSD11B2 staining patterns requires understanding its biological distribution and regulatory mechanisms. Key methodological considerations include:
Tissue-specific expression levels:
Subcellular localization:
Physiological context interpretation:
HSD11B2 expression can be regulated by hormonal status and pathological conditions
Compare experimental samples with appropriate controls from similar physiological states
Document experimental conditions that might affect expression (time of day, stress levels, medication status)
Analytical approaches:
Quantify relative expression between tissues using appropriate image analysis software
Normalize to cell number or tissue area when comparing different samples
Use statistical methods appropriate for the distribution of your data
When reporting differences between tissues, include comprehensive methodological details about sample collection, processing, and analysis parameters to ensure reproducibility.
HSD11B2 antibodies serve as valuable tools for investigating cortisol metabolism disorders, particularly those involving dysregulation of the cortisol-cortisone conversion. Methodological approaches include:
Expression analysis in disease models:
Western blot quantification of HSD11B2 protein levels in tissues from patients or animal models with suspected enzyme dysfunction
Immunohistochemical analysis to identify altered cellular distribution in pathological states
Flow cytometric analysis of intracellular HSD11B2 using permeabilization protocols and antibodies suitable for FACS
Correlation with clinical parameters:
Compare HSD11B2 expression levels with cortisol/cortisone ratios in blood or urine
Correlate tissue expression patterns with disease severity metrics
Use standardized quantification methods to enable comparisons across studies
Mechanistic investigations:
Combine antibody detection with functional assays measuring enzymatic activity
Use in experimental interventions (pharmacological or genetic) targeting the enzyme
Apply in co-immunoprecipitation experiments to identify interacting proteins that may regulate function
Translational applications:
Evaluate HSD11B2 as a biomarker for conditions such as apparent mineralocorticoid excess or hypertension
Assess changes in expression in response to therapeutic interventions
Screen for compounds that modulate HSD11B2 expression or activity
These approaches provide comprehensive analysis of HSD11B2's role in disease pathogenesis and potential therapeutic interventions targeting cortisol metabolism.
For co-localization studies involving HSD11B2 and other proteins, the following methodological protocols are recommended:
Immunofluorescence optimization:
Confocal microscopy protocol:
Use multi-channel acquisition to simultaneously detect HSD11B2 and target proteins
Employ appropriate controls for channel bleed-through
Collect z-stack images to analyze three-dimensional co-localization
Use standardized co-localization coefficients (Pearson's, Mander's) for quantitative analysis
Proximity ligation assay (PLA) methodology:
For detecting proteins in close proximity (<40 nm)
Combine HSD11B2 antibodies with antibodies against potential interacting proteins
Quantify interaction signals using appropriate image analysis software
Sample preparation considerations:
For tissue sections, use thin sections (5-7 μm) to minimize background
For cultured cells, optimize fixation methods to preserve antigenicity while maintaining cellular structure
Consider optical clearing techniques for thick tissue sections
Controls and validation:
Include single-stained controls for each antibody
Use known interacting proteins as positive controls
Consider super-resolution microscopy techniques for validation of close associations
These protocols enable precise analysis of HSD11B2's spatial relationship with other proteins, providing insights into functional interactions and regulatory mechanisms.
HSD11B2 antibodies offer valuable applications in drug development research targeting glucocorticoid regulation through several methodological approaches:
Target engagement studies:
Assess changes in HSD11B2 expression levels following drug treatment using Western blot analysis with antibodies such as 14192-1-AP (1:1000-1:4000 dilution)
Evaluate alterations in subcellular localization using immunofluorescence with antibodies validated for IF applications
Quantify expression changes in high-throughput screening using ELISA-based methods
Mechanism of action investigations:
Use immunoprecipitation to identify drug-induced changes in protein-protein interactions
Combine with activity assays to correlate expression levels with functional changes
Assess post-translational modifications that might be affected by drug candidates
Biomarker development:
Evaluate HSD11B2 expression as a potential pharmacodynamic biomarker
Develop and validate immunoassays for clinical sample testing
Correlate tissue expression with circulating metabolite ratios
Predictive toxicology applications:
Translational research strategies:
Validate preclinical findings in human samples
Develop companion diagnostic approaches for targeted therapies
Establish standardized protocols for assessment across different research phases
These methodological approaches support comprehensive evaluation of compounds targeting the HSD11B2 pathway, enabling efficient drug development and potential identification of novel therapeutic strategies for conditions involving glucocorticoid dysregulation .
Detection of HSD11B2 across different species requires consideration of sequence homology, antibody cross-reactivity, and species-specific expression patterns. Methodological considerations include:
When working with different species:
Antibody selection strategy:
Validation methodology:
Always validate antibodies in your species of interest before proceeding to experimental samples
Include appropriate positive controls from the same species
Consider optimization of sample preparation methods for species-specific tissues
Detection system adjustments:
Species-specific secondary antibodies should be employed
Optimize blocking conditions to minimize background in different species samples
Consider higher primary antibody concentrations for species with lower sequence homology
These methodological approaches will maximize the likelihood of successful HSD11B2 detection across diverse experimental models.
Epitope mapping for HSD11B2 protein interaction studies requires strategic selection of antibodies targeting different regions of the protein. Based on the search results, several antibodies targeting different epitopes are available:
Available epitope-specific antibodies:
Methodological approach for epitope mapping:
Use multiple antibodies targeting different regions to determine accessible epitopes in native protein
Compare antibody binding under different conditions (native vs. denatured)
Employ competitive binding assays to identify overlapping epitopes
Consider peptide arrays for fine mapping of specific binding sites
Protein interaction studies:
Select antibodies targeting non-interacting regions to avoid interfering with binding partners
Use epitope-tagged HSD11B2 constructs alongside antibody detection for validation
Consider proximity-based assays (FRET, PLA) with strategically selected antibody pairs
Perform pull-down assays with antibodies targeting different epitopes and compare interactome profiles
Structural considerations:
Correlate epitope accessibility with predicted protein structure
Consider post-translational modifications that might affect antibody binding
Evaluate epitope conservation across species for evolutionary studies
This comprehensive approach enables detailed characterization of HSD11B2 structural domains involved in protein interactions and provides insights into functional regulation mechanisms.
Implementing HSD11B2 antibodies in high-throughput screening (HTS) applications requires optimization for reliability, reproducibility, and efficiency. Key methodological considerations include:
Assay format selection:
Optimization for automation:
Standardize sample preparation protocols
Establish reproducible antibody dilution methods
Determine optimal incubation times that balance signal development with throughput
Implement quality control metrics for batch-to-batch consistency
Signal detection and quantification:
Optimize signal-to-noise ratio through systematic testing of blocking conditions
Establish detection thresholds based on positive and negative controls
Implement appropriate normalization methods for plate-to-plate comparisons
Consider automated image analysis for cell-based assays
Validation requirements:
Include on-plate controls for antibody performance
Validate hits with orthogonal methods
Implement Z-factor calculations to assess assay quality
Consider multiplexing with additional markers to increase information content
Data management and analysis:
Develop standardized data capture and analysis pipelines
Implement appropriate statistical methods for hit identification
Consider machine learning approaches for pattern recognition in complex datasets
Establish clear criteria for follow-up validation
These methodological considerations ensure robust implementation of HSD11B2 antibodies in high-throughput screening applications, facilitating efficient discovery in areas such as drug development, pathway analysis, and biomarker identification.
Recent advances in HSD11B2 research have expanded its relevance beyond classical mineralocorticoid regulation. Emerging methodological applications include:
Neuroscience applications:
Detection of HSD11B2 in brain regions involved in stress response and neuroinflammation
Investigation of blood-brain barrier integrity through HSD11B2 expression in cerebrovascular endothelium
Correlation of neural HSD11B2 expression with behavioral phenotypes in stress models
Metabolic disorder research:
Analysis of adipose tissue expression patterns in obesity and metabolic syndrome
Investigation of liver-specific regulation in non-alcoholic fatty liver disease
Correlation of skeletal muscle expression with insulin resistance parameters
Cancer biology:
Evaluation as a potential biomarker in hormone-responsive tumors
Investigation of expression changes during cancer progression and metastasis
Assessment of HSD11B2 in tumor microenvironment regulation
Developmental biology:
Temporal expression patterns during organogenesis
Role in glucocorticoid programming of developmental trajectories
Epigenetic regulation of HSD11B2 in developmental contexts
For these emerging applications, researchers should consider antibodies with validated tissue-specific performance and appropriate controls. Combining protein detection with functional assays provides the most comprehensive understanding of HSD11B2's role in these diverse pathological contexts.
While the search results focus on research antibodies, exploration of therapeutic antibodies targeting HSD11B2 presents several methodological challenges and potential solutions:
Target accessibility challenges:
Specificity requirements:
Functional modulation strategies:
Developing antibodies that modulate enzyme activity rather than just binding
Screening for conformation-specific antibodies that lock the enzyme in active/inactive states
Considering allosteric modulation through antibody binding to regulatory domains
Delivery methodologies:
Explore tissue-specific targeting strategies for kidney or other HSD11B2-expressing tissues
Consider antibody formats optimized for tissue penetration (e.g., single-domain antibodies)
Investigate alternative delivery systems for intracellular targeting
Validation frameworks:
Develop appropriate in vitro and in vivo models for efficacy testing
Establish clinically relevant endpoints related to cortisol/cortisone ratios
Design biomarker strategies to monitor target engagement
These methodological approaches could guide development of novel therapeutic strategies targeting HSD11B2 in conditions characterized by dysregulated cortisol metabolism.
Proper storage and handling of HSD11B2 antibodies is critical for maintaining their stability and ensuring reproducible experimental results. Based on the search results, the following methodological recommendations apply:
Storage conditions:
Aliquoting recommendations:
Handling protocols:
Dilution and working solution stability:
Quality control measures:
Include positive controls in each experiment to verify antibody performance
Document lot numbers and maintain records of antibody performance
Consider periodic validation of stored antibodies against fresh antibody preparations
These storage and handling protocols will help ensure consistent antibody performance and experimental reproducibility across studies.
Rigorous validation of new antibody lots is essential for maintaining experimental consistency and data reliability. A comprehensive methodological approach to HSD11B2 antibody validation includes:
Side-by-side comparison protocol:
Run parallel experiments with previous and new antibody lots
Use identical samples, concentrations, and experimental conditions
Quantitatively compare signal intensity, background levels, and specificity
Performance metric evaluation:
For Western blot: Compare band intensity at the expected molecular weight (40-43 kDa) , signal-to-noise ratio, and detection of any non-specific bands
For IHC/IF: Assess staining intensity, pattern specificity, and background levels
For ELISA/FACS: Compare standard curves, dynamic range, and detection limits
Validation using established controls:
Titration experiments:
Documentation practices:
Record detailed validation results including images and quantitative measurements
Document lot numbers, receipt dates, and expiration dates
Maintain validation records for reference and troubleshooting
This systematic validation approach ensures experimental continuity when transitioning between antibody lots and provides documentation for quality control purposes.
Standardization of HSD11B2 quantification across diverse experimental systems requires rigorous methodological approaches:
Absolute quantification methods:
Implement quantitative Western blotting using purified recombinant HSD11B2 protein standards
Develop and validate ELISA methods with defined standard curves
Consider mass spectrometry-based approaches for absolute protein quantification
Relative quantification strategies:
Normalize to appropriate housekeeping proteins (consistent across experimental systems)
Use digital image analysis with standardized acquisition parameters
Implement densitometry with background subtraction and linear range verification
Internal calibration approaches:
Include common reference samples across experiments
Use calibrator samples with known HSD11B2 content
Implement bridging studies when comparing across different experimental platforms
Standardized reporting practices:
Report both raw and normalized data
Document complete methodological details including antibody information, dilutions, and detection systems
Include validation metrics such as coefficients of variation
Specify dynamic range of detection methods
Cross-platform validation:
Verify findings using orthogonal methods (e.g., protein vs. mRNA expression)
Compare antibody-based methods with activity assays when applicable
Use multiple antibodies targeting different epitopes for confirmation