INHA Antibody

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Description

Introduction

The INHA antibody (Inhibin Alpha antibody) is a critical diagnostic and research tool used to detect the expression of the INHA protein, a subunit of inhibin, which belongs to the TGF-β superfamily. INHA has been implicated in both tumor suppressive and oncogenic roles, depending on the tissue context. This antibody is widely employed in immunohistochemistry (IHC), western blotting, and other assays to study INHA’s role in cancer biology, particularly in sex cord-stromal tumors, adrenocortical carcinomas, and granular cell tumors. Below is a detailed analysis of the antibody’s technical specifications, applications, and research findings.

Research Applications

The INHA antibody has been instrumental in studying INHA’s dual role in cancer. Key findings include:

3.1. Tumor Diagnosis

  • Sex Cord-Stromal Tumors: INHA is a diagnostic marker for granulosa cell tumors (100% positivity) and Sertoli/Leydig cell tumors .

  • Adrenocortical Carcinomas: Strong INHA staining distinguishes adrenal tumors from clear cell renal cell carcinomas (rarely INHA-positive) .

  • Granular Cell Tumors: Uniform INHA positivity aids in differentiating these tumors from melanomas or schwannomas .

Tumor TypeINHA PositivityIntensity
Granulosa Cell Tumor100%Strong
Adrenocortical Carcinoma80%Moderate
Acinar Cell Carcinoma80%Strong
Clear Cell RCCRare (focal)Weak

3.3. Mechanistic Studies

  • EGFR Pathway Activation: INHA promotes LUAD cell proliferation via EGFR signaling, as demonstrated in vitro/vivo assays using INHA-specific antibodies .

  • Tumor Microenvironment: INHA is linked to immune cell infiltration and immune-related gene signatures, suggesting its role in shaping tumor immunology .

4.1. Antibody Validation

The INHA antibody is validated for IHC-P in multiple tumor types, with recommended positive controls (e.g., adrenal cortex) and negative controls (e.g., colon) . Cross-reactivity with non-human tissues (e.g., murine models) requires verification .

4.2. Clinical Implications

  • Cancer Diagnosis: INHA staining is critical for distinguishing rare tumors (e.g., sex cord-stromal vs. epithelial ovarian tumors) .

  • Therapeutic Targeting: INHA’s oncogenic role in LUAD highlights its potential as a therapeutic target for EGFR inhibitors or immunotherapies .

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
INHA antibody; Inhibin alpha chain antibody
Target Names
INHA
Uniprot No.

Target Background

Function
Inhibins and activins regulate the secretion of follitropin by the pituitary gland, acting as inhibitors and activins, respectively. These proteins are involved in a variety of biological functions, including hypothalamic and pituitary hormone secretion, gonadal hormone secretion, germ cell development and maturation, erythroid differentiation, insulin secretion, nerve cell survival, embryonic axial development, and bone growth. Their specific roles are determined by their subunit composition. Inhibins generally oppose the actions of activins.
Gene References Into Functions
  1. Research on bull calves has shown that castration and other surgical interventions affect the blood levels of anti-Müllerian hormone, inhibin A, gonadotropins, and gonadotropin receptors. PMID: 27693012
  2. The expression of the components of the activin-inhibin-follistatin system is altered in bovine cystic ovarian disease. PMID: 25001504
  3. The INHA gene has potential as a predictor for superovulation in Chinese Holstein cows. PMID: 20238172
  4. Inhibin exerts a negative autocrine or paracrine effect on the in vitro estradiol production capacity of granulosa cells isolated from dominant or subordinate follicles. PMID: 12697695
  5. Overexpression of the inhibin alpha (1-32) fragment has demonstrated both time- and stage-dependent effects on granulosa cell development and subsequent oocyte maturation. PMID: 18456314

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Database Links
Protein Families
TGF-beta family
Subcellular Location
Secreted.

Q&A

What is INHA and what role does it play in biological systems?

INHA, or Inhibin alpha, is a protein subunit that combines with various beta subunits to form inhibin hormones. Inhibin alpha is crucial for reproductive function and has been implicated in various pathological conditions, including cancer. Recent research has identified INHA overexpression in lung adenocarcinoma (LUAD), where it correlates with poor prognosis, suggesting its potential role as a biomarker in cancer diagnosis and progression . Beyond reproductive biology, INHA's expression patterns across tissues make it relevant for research in multiple biological systems, including endocrine signaling pathways.

What types of INHA antibodies are available for research applications?

INHA antibodies are available in several formats optimized for different experimental applications. These include monoclonal antibodies like clone 130408R that specifically capture the human Inhibin alpha chain , and polyclonal antibodies such as those produced in rabbits for immunohistochemistry and immunofluorescence applications . Different antibodies target specific epitopes within the INHA protein and demonstrate varying affinities and specificities. For instance, some antibodies are designed to work as ELISA capture antibodies when paired with detection antibodies against specific beta subunits, enabling the discrete detection of either Inhibin A or Inhibin B complexes .

How do I select the appropriate INHA antibody for my experiments?

Selecting the appropriate INHA antibody depends on several factors:

  • Experimental application: Different antibodies are optimized for specific techniques. For immunohistochemistry, consider antibodies validated at dilutions of 1:200-1:500, while immunofluorescence applications may require concentrations of 0.25-2 μg/mL .

  • Target specificity: Determine whether you need to detect total INHA or distinguish between Inhibin A and Inhibin B complexes. Some antibodies capture the Inhibin alpha chain and can detect either Inhibin A or Inhibin B depending on the detection antibody paired with it .

  • Species reactivity: Confirm that the antibody recognizes INHA from your species of interest. Some antibodies are human-specific , while others may have cross-reactivity with other species.

  • Validation status: Prioritize antibodies that have undergone rigorous validation, such as testing on tissue arrays of multiple normal and cancer tissues, and screening against protein arrays to confirm specificity .

How can INHA antibodies be utilized in ELISA-based detection systems?

INHA antibodies can serve as capture or detection reagents in ELISA systems, with specific methodological considerations:

  • Sandwich ELISA approach: Use an anti-INHA antibody (such as clone 130408R) as a capture antibody immobilized on a plate surface. This antibody binds the Inhibin alpha chain, and depending on your detection antibody, you can selectively measure either Inhibin A or Inhibin B. For Inhibin A detection, pair with an anti-INHBA antibody; for Inhibin B detection, pair with an anti-INHBB antibody .

  • Optimization protocol:

    • Coat plates with capture antibody at 1-10 μg/mL in appropriate buffer

    • Block with protein-containing buffer to prevent non-specific binding

    • Add samples and standards

    • Apply detection antibody followed by enzyme-conjugated secondary antibody

    • Develop with appropriate substrate and measure signal

  • Cross-reactivity management: As INHA can form different inhibin complexes, careful antibody selection and validation are required to ensure specificity for your target of interest.

What are the optimal protocols for using INHA antibodies in immunohistochemistry (IHC)?

For optimal IHC results with INHA antibodies, consider this methodological approach:

  • Sample preparation: Use formalin-fixed, paraffin-embedded (FFPE) tissue sections or frozen sections based on antibody compatibility.

  • Antigen retrieval: Heat-induced epitope retrieval in citrate buffer (pH 6.0) is often effective for INHA detection.

  • Antibody application: For rabbit anti-INHA antibodies, dilutions of 1:200-1:500 are typically recommended . Incubate at 4°C overnight or at room temperature for 1-2 hours.

  • Detection system: Use appropriate secondary antibodies and visualization systems (e.g., HRP-DAB) compatible with your primary antibody species.

  • Positive controls: Include tissues known to express INHA, such as ovarian or testicular tissue, to validate staining patterns.

  • Negative controls: Include serial sections stained with isotype control antibodies to confirm specificity.

INHA antibodies have been extensively validated through immunohistochemistry testing on arrays of 44 normal human tissues and 20 of the most common cancer types, ensuring reliability for tissue-based detection .

How can INHA antibodies be used to investigate protein-protein interactions?

INHA antibodies can be powerful tools for studying protein-protein interactions through several approaches:

  • Co-immunoprecipitation (Co-IP): Use INHA antibodies to pull down INHA protein complexes from cell or tissue lysates, followed by Western blotting to identify interacting partners. This approach has been used to study interactions between INHA and various beta subunits as well as other signaling molecules.

  • Proximity ligation assay (PLA): This technique allows visualization of protein interactions in situ using pairs of antibodies against potentially interacting proteins. One antibody targets INHA while the other targets a suspected interaction partner.

  • FRET/BRET analysis: When combined with fluorescent tag technologies, INHA antibodies can be used to study real-time interactions in living cells.

  • Pull-down assays: INHA antibodies can be used to identify novel interaction partners from complex protein mixtures, with subsequent mass spectrometry analysis for protein identification.

These methods have been instrumental in elucidating how INHA interacts with various signaling pathways, particularly in reproductive biology and cancer contexts.

What are the key considerations for validating INHA antibody specificity?

Validating INHA antibody specificity requires a multi-faceted approach:

  • Orthogonal validation: Compare results from different antibodies targeting distinct epitopes of INHA. Consistency across different antibodies supports specificity.

  • RNA interference: Knockdown INHA expression using siRNA or shRNA and confirm reduction in antibody signal, demonstrating that the antibody detects the intended target.

  • Recombinant protein controls: Test the antibody against purified recombinant INHA protein and unrelated proteins to confirm specific binding. High-quality INHA antibodies are tested against arrays of 364 human recombinant protein fragments to ensure specificity .

  • Pre-absorption controls: Pre-incubate the antibody with excess purified INHA protein before application. Diminished staining confirms specificity.

  • Knockout/Knockin validation: Compare staining in INHA-knockout tissues or cell lines with wild-type controls. Absence of signal in knockout samples confirms specificity.

  • Cross-species reactivity: Verify the expected pattern of cross-reactivity with INHA from different species based on sequence conservation.

These validation steps ensure that experimental results are truly reflective of INHA biology rather than non-specific interactions.

How can I optimize INHA antibody concentration for different experimental techniques?

Optimizing INHA antibody concentration is critical for generating reliable data:

  • Titration experiments:

    • For immunofluorescence: Test a range from 0.25-2 μg/mL

    • For immunohistochemistry: Test dilutions from 1:200-1:500

    • For Western blotting: Begin with 1:1000 dilution and adjust based on signal-to-noise ratio

    • For ELISA: Test capture antibody at 1-10 μg/mL

  • Signal-to-noise assessment: Evaluate specific signal versus background at each concentration. Select the concentration that maximizes specific signal while minimizing background.

  • Positive and negative controls: Include samples with known high INHA expression (positive control) and samples with no INHA expression (negative control) in optimization experiments.

  • Blocking optimization: Test different blocking reagents (BSA, normal serum, commercial blockers) to minimize non-specific binding.

  • Incubation parameters: Evaluate the effect of temperature (4°C, room temperature, 37°C) and duration (1 hour to overnight) on staining intensity and specificity.

Maintain detailed records of optimization experiments to ensure reproducibility and consistent results across studies.

What are the recommended storage conditions and handling practices for INHA antibodies?

Proper storage and handling are essential for maintaining INHA antibody performance:

  • Storage temperature: Most INHA antibodies should be stored at -20°C for long-term stability . Avoid repeated freeze-thaw cycles by preparing working aliquots.

  • Buffer composition: Many antibodies are supplied in buffered aqueous glycerol solutions , which helps prevent freezing damage and maintains stability.

  • Working dilutions: Prepare fresh working dilutions on the day of experiment. Store diluted antibody at 4°C for short-term use (typically 1-2 weeks).

  • Contamination prevention: Use sterile technique when handling antibodies to prevent microbial growth.

  • Transport considerations: When shipping or transporting INHA antibodies, maintain cold chain using wet ice or appropriate cooling packs.

  • Stability monitoring: Periodically test antibody performance against reference samples to ensure continued functionality.

  • Documentation: Maintain records of purchase date, lot number, and performance in standardized assays to track potential lot-to-lot variations.

Following these guidelines will maximize antibody shelf-life and ensure consistent experimental results.

What are common issues encountered when using INHA antibodies and how can they be resolved?

Researchers may encounter several challenges when working with INHA antibodies:

  • Low signal intensity:

    • Increase antibody concentration or incubation time

    • Optimize antigen retrieval methods for IHC/IF

    • Verify sample preparation to ensure antigen preservation

    • Check for potential sample degradation

  • High background or non-specific staining:

    • Increase blocking stringency or duration

    • Reduce primary antibody concentration

    • Test alternative secondary antibodies

    • Include additional washing steps

    • Consider using different detection systems

  • Inconsistent results between experiments:

    • Standardize protocols with detailed documentation

    • Use the same lot of antibody when possible

    • Include positive controls in each experiment

    • Control for variables in sample preparation

  • Discrepancies between antibodies targeting different epitopes:

    • Confirm epitope accessibility in your experimental system

    • Consider potential post-translational modifications that might affect epitope recognition

    • Validate results with orthogonal methods (e.g., mRNA expression)

  • Cross-reactivity with unexpected proteins:

    • Validate specificity with Western blot analysis

    • Perform pre-absorption tests with recombinant protein

    • Consider using more specific monoclonal antibodies

Systematic troubleshooting using these approaches can resolve most common issues encountered with INHA antibodies.

How should I interpret contradictory results from different INHA antibody-based experiments?

When faced with contradictory results from different INHA antibody experiments, consider this analytical framework:

  • Epitope differences: Different antibodies recognize distinct epitopes that may be differentially affected by:

    • Protein conformation

    • Post-translational modifications

    • Protein-protein interactions

    • Fixation or denaturation effects

  • Protocol variations:

    • Analyze differences in sample preparation

    • Compare fixation methods

    • Evaluate detection systems

    • Consider buffer compositions

  • Antibody validation status:

    • Assess the validation data for each antibody

    • Compare validation methods (Western blot, IHC, peptide competition, knockout validation)

    • Consider antibody format (monoclonal vs. polyclonal)

  • Biological variability:

    • Evaluate cell or tissue heterogeneity

    • Consider developmental or disease-state differences

    • Assess potential splice variants or isoforms

  • Resolution approach:

    • Perform additional validation experiments

    • Use orthogonal methods (e.g., mRNA analysis, mass spectrometry)

    • Consider multiple antibodies targeting different epitopes

    • Consult published literature for similar contradictions

Understanding the source of contradictions often leads to new insights about protein biology or technical limitations that should be considered in experimental design.

How can I distinguish between specific and non-specific binding in INHA antibody applications?

Distinguishing specific from non-specific binding is crucial for accurate data interpretation:

  • Control experiments:

    • Isotype controls: Use the same concentration of non-specific antibody of the same isotype

    • Peptide competition: Pre-incubate antibody with immunizing peptide to block specific binding

    • Genetic controls: Compare staining in INHA-knockout or knockdown samples

  • Pattern analysis:

    • Specific binding shows expected subcellular localization based on known INHA biology

    • Non-specific binding often appears as diffuse staining or unexpected patterns

    • Compare with published literature on INHA localization patterns

  • Signal characteristics:

    • Specific binding typically shows concentration-dependent signal that saturates

    • Non-specific binding often increases linearly with antibody concentration

    • Specific binding should correlate with known INHA expression patterns across tissues

  • Cross-validation:

    • Compare results with antibodies targeting different INHA epitopes

    • Validate with orthogonal methods (mRNA analysis, mass spectrometry)

    • Correlate findings with functional assays

  • Technical considerations:

    • Optimize blocking conditions to minimize non-specific interactions

    • Use more stringent washing procedures

    • Consider alternative detection systems with lower background

Applying these approaches systematically helps distinguish genuine INHA detection from technical artifacts.

How can INHA antibodies be used to study post-translational modifications of INHA?

Investigating post-translational modifications (PTMs) of INHA requires specialized approaches:

  • Modification-specific antibodies:

    • Use antibodies specifically raised against known INHA modifications (phosphorylation, glycosylation, etc.)

    • Combine with total INHA antibodies to determine modification ratio

  • Two-dimensional gel electrophoresis:

    • Separate proteins based on both isoelectric point and molecular weight

    • Use INHA antibodies for Western blotting to identify modified forms

    • This approach has been successfully used to study phosphorylation of proteins like InhA

  • Immunoprecipitation-based approaches:

    • Use INHA antibodies to immunoprecipitate the protein

    • Analyze by mass spectrometry to identify modifications

    • Perform Western blotting with modification-specific antibodies

  • In vitro modification assays:

    • Purify INHA using antibody-based affinity purification

    • Subject to in vitro modification with appropriate enzymes

    • Analyze modification states by mass spectrometry or Western blotting

    • Similar approaches have been used for studying phosphorylation of other proteins

  • Cellular assays:

    • Treat cells with modification-inducing or inhibiting agents

    • Use INHA antibodies to assess changes in modification status

    • Correlate modifications with functional outcomes

These approaches have revealed important insights into how PTMs regulate INHA function in various biological contexts.

How can I use INHA antibodies to investigate its role in cancer progression and as a potential biomarker?

INHA has emerging significance in cancer research, particularly as a potential biomarker:

  • Tissue microarray analysis:

    • Use INHA antibodies for immunohistochemical staining of cancer tissue microarrays

    • Correlate INHA expression with clinical parameters and patient outcomes

    • This approach has shown that INHA is overexpressed in lung adenocarcinoma and linked to poor prognosis

  • Liquid biopsy applications:

    • Develop ELISA or other immunoassays using INHA antibodies to detect circulating INHA

    • Validate as potential non-invasive biomarkers in patient serum samples

    • Compare with established biomarkers for sensitivity and specificity

  • Functional studies:

    • Use INHA antibodies to neutralize INHA function in cell culture and animal models

    • Assess impact on cancer cell proliferation, migration, and invasion

    • Correlate with changes in signaling pathways using phospho-specific antibodies

  • Multiparameter analysis:

    • Combine INHA antibodies with other markers in multiplex immunofluorescence

    • Characterize INHA-expressing cells within the tumor microenvironment

    • Identify potential therapeutic targets co-expressed with INHA

  • Prognostic validation:

    • Design longitudinal studies correlating INHA expression with treatment response

    • Develop standardized scoring systems for INHA immunohistochemistry

    • Validate findings across independent patient cohorts

These approaches can establish INHA's utility as a biomarker and potential therapeutic target in cancer management.

What are the cutting-edge applications of INHA antibodies in designing therapeutic approaches?

INHA antibodies are enabling novel therapeutic strategies:

  • Antibody engineering for therapeutic development:

    • Use INHA antibodies as starting points for therapeutic antibody development

    • Employ computational approaches to optimize specificity and binding profiles

    • Recent advances in biophysics-informed modeling have enabled the design of antibodies with customized specificity profiles, allowing either specific high affinity for particular targets or cross-specificity for multiple targets

  • Antibody-drug conjugates (ADCs):

    • Conjugate cytotoxic agents to INHA-targeting antibodies

    • Deliver targeted therapy to INHA-overexpressing cancer cells

    • Optimize drug-to-antibody ratio and linker chemistry for efficacy

  • Immunotherapy applications:

    • Develop bispecific antibodies linking INHA recognition with immune cell activation

    • Evaluate potential for chimeric antigen receptor (CAR) T-cell therapy targeting INHA

    • Investigate INHA as an immunotherapeutic target in cancers where it is overexpressed, such as lung adenocarcinoma

  • Diagnostic-therapeutic combinations:

    • Create theranostic applications using dual-function INHA antibodies

    • Combine imaging capabilities with therapeutic delivery

    • Monitor treatment response in real-time

  • Structural biology applications:

    • Use INHA antibodies to stabilize protein conformations for structural studies

    • Develop antibody fragments for co-crystallization

    • Gain insights into INHA structure-function relationships for rational drug design

These cutting-edge applications highlight how INHA antibodies are advancing beyond traditional research tools to become platforms for therapeutic innovation.

What emerging technologies are enhancing INHA antibody applications in research?

Several technological advances are revolutionizing INHA antibody applications:

  • Single-cell analysis: Integration of INHA antibodies with single-cell technologies enables unprecedented resolution of INHA expression patterns within heterogeneous tissues.

  • Spatial transcriptomics and proteomics: Combining INHA antibody staining with spatial omics technologies provides contextual information about INHA expression relative to other markers and cell types.

  • Artificial intelligence and machine learning: Computational approaches are enhancing antibody design with customized specificity profiles beyond what can be achieved through traditional selection methods alone .

  • Biophysics-informed models: These models can identify and disentangle multiple binding modes associated with specific ligands, enabling the prediction and generation of antibody variants with desired binding characteristics .

  • High-throughput screening platforms: Advanced screening methodologies allow rapid evaluation of INHA antibody specificity across thousands of potential targets.

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