The ERO1A antibody is a research and diagnostic tool designed to detect and study the protein Endoplasmic Reticulum Oxidoreductase 1 Alpha (ERO1A), a flavoprotein involved in oxidative protein folding within the endoplasmic reticulum (ER). ERO1A facilitates the formation of de novo disulfide bonds in secretory and membrane proteins, playing a critical role in ER homeostasis . Its overexpression has been linked to cancer progression, immune evasion, and poor prognosis in multiple tumor types . This article reviews the development, validation, and applications of ERO1A antibodies, with a focus on their role in cancer research and immunotherapy.
ERO1A antibodies are primarily polyclonal or monoclonal rabbit-derived immunoglobulins, targeting the 60 kDa glycoprotein. Key manufacturers include Cell Signaling Technology (CST) and Sigma-Aldrich, with products validated for:
Western blotting (WB): Detects endogenous ERO1A in lysates of human tumor cells .
Immunohistochemistry (IHC): Localizes ERO1A in tumor tissues, enabling histopathological analysis .
Antibodies undergo rigorous testing, including:
Protein array validation: Ensures specificity against recombinant ERO1A fragments .
Tissue array screening: Confirms reactivity across 44 normal and 20 cancer tissues .
Lung Adenocarcinoma: High ERO1A expression correlates with aggressive disease and resistance to EGFR inhibitors .
Triple-Negative Breast Cancer: ERO1A promotes PD-L1 upregulation, enabling immune evasion .
ER Stress Modulation: Antibodies reveal ERO1A’s role in transmitting ER stress to T cells, inducing apoptosis and immune exclusion .
Tumor Microenvironment (TME): Detects ERO1A-driven secretion of matrix proteins (e.g., laminin, LOXL2) that enhance cancer stemness .
PD-1 Blockade: ERO1A ablation enhances T-cell infiltration and anti-PD-1 efficacy in preclinical models .
Clinical Correlations: Low ERO1A expression in NSCLC predicts improved responses to immunotherapy (P < 0.001) .
STRING: 7955.ENSDARP00000015478
UniGene: Dr.86356
ERO1A is a glycoprotein that mediates oxidative formation of protein disulfide bonds in the endoplasmic reticulum. It has gained significant research interest due to its critical roles in multiple cellular processes including hypoxic response, cancer progression, and immune regulation. In humans, ERO1A is a 468 amino acid protein with a mass of 54.4 kDa that localizes primarily to the ER and Golgi apparatus, although it can also be secreted . ERO1A has been implicated in tumor formation, integrin glycosylation, membrane transport in hypoxic conditions, and modulation of the immune microenvironment . Its overexpression correlates with poor prognosis in several cancers, making it an important target for both basic research and potential therapeutic development .
When selecting an ERO1A antibody, researchers should consider several factors: (1) Target specificity - ensure the antibody specifically recognizes ERO1A without cross-reactivity with its paralog ERO1β; (2) Species reactivity - verify compatibility with your experimental model, as ERO1A orthologs exist in multiple species including mouse, rat, bovine, and others; (3) Application suitability - confirm the antibody has been validated for your specific application (Western blot, IHC, ELISA, etc.); (4) Epitope location - consider whether the antibody targets regions that may be affected by post-translational modifications like N-glycosylation and phosphorylation; and (5) Clone type - determine whether a monoclonal or polyclonal antibody better suits your research question . For studies examining ERO1A in cancer microenvironments, antibodies validated under hypoxic conditions would be particularly valuable .
Proper validation is essential to ensure experimental rigor. A comprehensive validation approach includes: (1) Positive and negative control testing - using tissues/cells known to express high levels of ERO1A (such as cerebral cortex or cervix) versus those with minimal expression; (2) Knockout validation - testing the antibody on ERO1A knockout samples created via CRISPR/Cas9 targeting exon 1, which has been successfully used to eliminate ERO1A expression while preserving ERO1β ; (3) Peptide competition assays - pre-incubating the antibody with purified ERO1A protein to confirm signal reduction; (4) Multiple detection methods - confirming results across different techniques (Western blot, IHC, IF); and (5) Subcellular localization confirmation - verifying the expected ER/Golgi localization pattern. This multi-layered approach minimizes the risk of misinterpretation due to antibody non-specificity .
ERO1A antibodies serve as powerful tools for investigating the complex relationship between ERO1A expression and anti-tumor immunity. Researchers can employ these antibodies for: (1) Characterizing the tumor microenvironment through multiplex immunofluorescence to correlate ERO1A expression with immune cell infiltration patterns; (2) Assessing ERO1A's association with immunosuppressive signaling by examining co-localization with PD-L1 and other immune checkpoint molecules; (3) Quantifying ERO1A expression in patient samples to predict response to immunotherapy, as high ERO1A expression correlates with resistance to PD-1 blockade; (4) Monitoring changes in ERO1A expression following therapeutic interventions; and (5) Evaluating ERO1A's relationship with immunogenic cell death pathways induced by endoplasmic reticulum stress . Recent studies have demonstrated that ERO1A mediates an immune-suppressive tumor microenvironment by impairing the balance between IRE1α and PERK signaling activities, making this protein a promising target for enhancing immunotherapy efficacy .
ERO1A is hypoxia-inducible and plays critical roles in tumor cell adaptation to hypoxic conditions. ERO1A antibodies enable researchers to: (1) Track upregulation of ERO1A in response to hypoxia through time-course immunoblotting or immunostaining; (2) Investigate ERO1A's role in integrin glycosylation and membrane transport processes that support cancer cell survival under hypoxia; (3) Correlate ERO1A expression with hypoxic markers (HIF-1α, CA9) in tumor sections; (4) Examine ERO1A's impact on the secretome of hypoxic tumor cells through immunoprecipitation followed by mass spectrometry; and (5) Assess how ERO1A inhibition affects hypoxia-driven biological pathways . Studies have shown that inhibition of ERO1A significantly downregulates hypoxic pathways (by approximately 12.5-fold compared to untreated controls) while upregulating antigen presentation pathways, suggesting a key mechanistic link between ERO1A and hypoxia-driven immune evasion .
Optimal detection methods vary based on experimental objectives:
| Method | Key Applications | Considerations | Recommended Approach |
|---|---|---|---|
| Western Blot | Protein expression quantification, molecular weight verification | Most widely used application for ERO1A antibodies | Use reducing conditions; verify 54.4 kDa band; include positive controls |
| Immunohistochemistry | Tissue localization, expression in clinical samples | Second most common application | Optimize antigen retrieval; counterstain to visualize subcellular localization |
| Immunofluorescence | Subcellular localization, co-localization studies | Useful for ER/Golgi visualization | Co-stain with organelle markers (PDI for ER, GM130 for Golgi) |
| Flow Cytometry | Cell population analysis | Less common for ERO1A | Requires cell permeabilization protocols for intracellular staining |
| ELISA | Quantitative measurement | Useful for secreted ERO1A | Validate with recombinant standards |
| Immunoprecipitation | Protein-protein interaction studies | Important for mechanism studies | Can be used to study ERO1A interactions with STIM1 and SERCA2 |
For most research applications, Western blotting remains the gold standard for ERO1A detection, with immunohistochemistry being particularly valuable for translational research using patient samples .
Creating and validating ERO1A knockout models requires careful design and rigorous validation:
Design Strategy: Target exon 1 of ERO1A using CRISPR/Cas9 to ensure complete protein elimination while preserving ERO1β expression. This approach has been successfully employed in colorectal cancer cell lines (HCT116) .
Validation Steps:
Confirm genomic modification through sequencing of the targeted region
Verify complete protein elimination via Western blot with antibodies targeting different ERO1A epitopes
Assess ERO1β expression to confirm specificity (should remain unchanged)
Evaluate phenotypic changes under both normoxic and hypoxic conditions (ERO1A KO cells show marked differences only in hypoxic environments)
Confirm functional consequences through appropriate assays (e.g., disulfide bond formation)
Functional Analysis:
Compare proliferation rates between WT and KO cells under normoxia vs. hypoxia
Assess morphological changes (KO cells maintain cell-cell integrity under hypoxia)
Examine impact on tumor formation using xenograft models (ERO1A KO cells show diminished tumorigenicity)
Investigate alterations in immune infiltration in tumor models
Properly validated knockout models combined with specific antibody detection provide powerful tools for understanding ERO1A's biological functions .
Investigating ERO1A's involvement in immunogenic cell death (ICD) requires specialized protocols:
ER Stress Induction Methods:
Hypoxia-induced stress (1% O₂)
Metabolic stress (glucose deprivation)
Pharmacological induction (tunicamycin treatment)
Cell Death Assessment:
Measure LDH release to quantify cell death (ERO1A KO tumors show increased LDH release compared to WT)
Assess cell viability under ER-stressed conditions
Monitor morphological changes via microscopy
ICD Marker Detection:
Surface calreticulin exposure (flow cytometry)
HMGB1 release (ELISA)
ATP secretion (luminescence assay)
Immune Response Evaluation:
Analyze tumor-infiltrating lymphocytes (TILs) via immunofluorescence staining
Quantify CD4⁺, CD8⁺, and NK cells in the tumor microenvironment
Measure cytokine production (IFN-γ, TNF-α, IL-1β, IL-6) using Luminex-based multiplexing
Mechanistic Analysis:
Examine UPR pathway activation (IRE1α and PERK signaling) via Western blot
Assess PD-L1 expression patterns (focal expression pattern observed in ERO1A KO tumors)
Evaluate IFN-γ-responsive gene signatures
These methodologies enable comprehensive characterization of how ERO1A modulates ER stress responses and subsequent immunogenic cell death, which is critical for its role in anti-tumor immunity .
ERO1A has been identified as a critical regulator of calcium signaling through direct interactions with key calcium modulators. Researchers can employ antibodies to:
Protein-Protein Interaction Studies:
Perform co-immunoprecipitation experiments to confirm direct interactions between ERO1A and calcium signaling molecules STIM1 and SERCA2
Use proximity ligation assays to visualize these interactions in situ
Conduct pulldown assays with mutant proteins (STIM1-Cys49/56Ser, SERCA2-Cys875/887Ser) to validate specific interaction sites
Functional Analysis:
Examine ERO1A's thiol oxidase activity on STIM1 (Cys49-Cys56) and SERCA2 (Cys875-Cys887) disulfide bonds
Monitor calcium store content and cytosolic calcium levels during cell activation in the presence/absence of ERO1A
Assess the impact of ERO1A inhibitors on calcium mobilization
Structural Studies:
Use antibodies for immunoelectron microscopy to precisely localize ERO1A within the dense tubular system
Map the domains of ERO1A involved in STIM1/SERCA2 interactions
Therapeutic Applications:
Test small-molecule ERO1A inhibitors vs. blocking antibodies for effects on calcium signaling
Evaluate downstream functional consequences in thrombosis and ischemic stroke models
These approaches have revealed that ERO1A functions as a thiol oxidase for calcium signaling molecules, enhancing cytosolic calcium levels and promoting cellular activation - insights with significant implications for thrombotic disease therapies .
Investigating ERO1A inhibition effects on dendritic cells requires multifaceted approaches:
Tumor-Immune Cell Co-culture Systems:
Establish PDAC spheroid models for studying monocyte infiltration and differentiation
Use ERO1A antibodies to confirm inhibitor efficacy and track expression changes
Combine ERO1A inhibition with IDO1 inhibition to assess synergistic effects
Secretome Analysis:
Perform LC-MS/MS analysis of tumor spheroid secretomes following ERO1A inhibition
Quantify changes in immunomodulatory factors (IL-8, lymphocyte cytosolic protein 1, transgelin-2)
Use pathway analysis to identify altered biological functions
Transcription Factor Profiling:
Evaluate changes in myeloid-associated transcription factors upon ERO1A inhibition
Monitor downregulation of BACH1 and ARID3A (associated with non-inflammatory M2 macrophages)
Track upregulation of SP1 and KLF7 (involved in myeloid activity and macrophage activation)
Functional Dendritic Cell Assays:
Assess antigen presentation capacity following ERO1A inhibition
Measure T cell activation in DC co-culture systems
Evaluate DC maturation markers and cytokine production
Research has demonstrated that combined inhibition of ERO1A and IDO1 significantly upregulates antigen presentation biological pathways (by approximately 14.59%) while downregulating hypoxic pathways, creating conditions favorable for dendritic cell infiltration and function .
Investigating the relationship between ERO1A and immunotherapy response requires sophisticated methodologies:
Expression Correlation Studies:
Use multiplexed immunohistochemistry to assess co-expression of ERO1A, PD-L1, and immune markers in patient samples
Analyze large datasets (e.g., TCGA) to identify correlations between ERO1A and immune checkpoint molecules
Track ERO1A expression in samples from patients undergoing immunotherapy
Mechanistic Investigations:
Examine PD-L1 expression patterns in ERO1A knockout vs. wild-type tumors (focal expression patterns observed in KO tumors)
Assess IFN-γ production by tumor-infiltrating lymphocytes as a potential mediator
Investigate the UPR pathway's role in linking ERO1A activity to PD-L1 regulation
In Vivo Response Models:
Evaluate anti-PD-1 therapy efficacy in ERO1A-knockout vs. wild-type tumor models
Characterize immune infiltrate composition using flow cytometry
Monitor cytokine production (IFN-γ, TNF-α, IL-1β, IL-6) in the tumor microenvironment
Clinical Correlation:
Assess ERO1A expression in human lung cancer samples to predict recurrence risk following neoadjuvant immunotherapy
Develop predictive models combining ERO1A status with other biomarkers
Research has shown that ERO1A ablation substantially enhances anti-tumor T cell immunity and improves response to PD-1 blockade in therapeutic models. This is associated with higher tumor-infiltrating lymphocyte abundance and increased PD-L1 expression (likely due to IFN-γ production by activated T cells), suggesting ERO1A as a valuable predictive biomarker and potential therapeutic target .
Researchers frequently encounter several challenges when working with ERO1A antibodies:
| Challenge | Possible Causes | Solution Strategies |
|---|---|---|
| Weak or absent signal | Low endogenous expression | Use hypoxic conditions to upregulate expression; consider more sensitive detection methods |
| Ineffective antibody | Validate with positive controls (cerebral cortex, cervix tissues); try alternative clones | |
| Improper sample preparation | Ensure complete protein extraction from ER/Golgi membranes; avoid excessive heating | |
| Multiple bands on Western blot | Post-translational modifications | N-glycosylation and phosphorylation can alter migration; use enzymatic treatments to confirm |
| Splice variants | Compare with transcript data; use antibodies targeting different epitopes | |
| Degradation products | Use fresh samples and protease inhibitors; optimize extraction conditions | |
| High background in IHC/IF | Non-specific binding | Optimize blocking (BSA vs. serum); increase washing steps; titrate antibody |
| Autofluorescence | Use Sudan Black B to reduce background; employ spectral unmixing | |
| Inconsistent results between experiments | Variable expression under different conditions | Standardize culture conditions, particularly oxygen levels; document passage number |
| Antibody lot variation | Validate each new lot against previous standards; maintain reference samples |
Implementing these troubleshooting approaches will improve the reliability and reproducibility of ERO1A detection across experimental platforms .
Proper interpretation of ERO1A expression data requires careful consideration of experimental context:
Baseline vs. Induced Expression:
ERO1A is upregulated under hypoxia and ER stress conditions
Normoxic cultures may show minimal expression, leading to false negative results
Always include appropriate hypoxic/stressed positive controls
Temporal Dynamics:
ERO1A induction follows specific kinetics after stress onset
Conduct time-course experiments to capture expression peaks
Consider relationships between acute vs. chronic stress responses
Cell Type Variations:
Expression patterns differ substantially between cell types
Cancer cells often show constitutive expression compared to normal counterparts
Interpret results within the specific cellular context
Subcellular Localization:
ERO1A can redistribute between ER, Golgi, and secreted fractions
Changes in localization may occur without alterations in total expression
Use fractionation and imaging to assess compartment-specific changes
Relationship to Functional Outcomes:
Connect expression data to functional readouts (proliferation, survival under stress)
Consider ERO1A's relationship with downstream effectors (STIM1, SERCA2)
Validate biological significance through gain/loss of function experiments
Research has demonstrated that while ERO1A knockout cells appear morphologically normal under standard conditions, they exhibit dramatically reduced proliferation and altered cell-cell contacts specifically under hypoxic conditions, highlighting the context-dependent nature of ERO1A function .
Several promising therapeutic strategies targeting ERO1A are under investigation:
Small Molecule Inhibitors:
More effective than blocking antibodies in reducing arterial thrombosis and ischemic stroke in mouse models
Can attenuate infarct volume following focal brain ischemia
Antibodies are essential for validating target engagement and specificity
Combination Therapies:
ERO1A and IDO1 dual inhibition shows synergistic effects on antigen presentation pathways
Antibodies help monitor pathway modulation and resistance mechanisms
Support patient stratification based on ERO1A expression levels
Immunotherapy Enhancement:
ERO1A ablation substantially improves response to PD-1 blockade
Antibodies facilitate biomarker development and response prediction
Enable monitoring of treatment-induced changes in tumor microenvironment
Targeting Specific Protein-Protein Interactions:
Disrupting ERO1A interactions with STIM1 and SERCA2 may offer more selective approaches
Structure-guided drug design benefits from antibody-based structural studies
Delivery Systems:
Tumor-targeted delivery of ERO1A inhibitors
Antibody-drug conjugates or bispecific antibodies could enhance specificity
Recent studies have demonstrated that ERO1A inhibition can significantly reshape the tumor microenvironment, making it more conducive to immune infiltration and effective immunotherapy - insights that would not have been possible without the development of specific antibodies to track these changes .
ERO1A's newly discovered role in thrombotic conditions opens important research avenues:
Platelet Activation Mechanisms:
ERO1A is exclusively localized in the platelet dense tubular system
Promotes calcium mobilization, platelet activation, and aggregation
Antibodies enable precise localization and mechanistic studies
Therapeutic Target Validation:
ERO1A deficiency reduces platelet thrombus formation without affecting bleeding times
Small-molecule inhibitors show promise in reducing thrombotic events
Antibodies essential for confirming target specificity and expression patterns
Calcium Signaling Pathways:
ERO1A directly interacts with and modifies STIM1 and SERCA2
Forms specific disulfide bonds (Cys49-Cys56 in STIM1, Cys875-Cys887 in SERCA2)
Antibody-based proximity assays help map these interactions
Translational Models:
Megakaryocyte-specific or global deletion models show similar phenotypes
Intravital microscopy with fluorescently-labeled antibodies enables real-time monitoring
Patient stratification based on ERO1A expression could identify high-risk individuals
Multi-Organ Protection Strategies:
ERO1A inhibition reduces infarct volume following focal brain ischemia
Potential applications beyond stroke to other thrombotic conditions
Antibodies support tissue-specific expression analysis
The discovery that ERO1A functions as a thiol oxidase for calcium signaling molecules represents a significant advancement in understanding thrombotic disease mechanisms and offers new therapeutic approaches with potentially favorable bleeding risk profiles .