The GBP2 antibody is a specialized immunological reagent designed to detect and study guanylate-binding protein 2 (GBP2), an interferon-inducible GTPase critical in innate immunity and cancer biology. GBP2 is encoded by the GBP2 gene, which is activated by interferons (IFNs), Toll-like receptors, and cytokines like TNF-α and IL-1β . The antibody enables researchers to investigate GBP2’s roles in pathogen defense, inflammasome activation, and tumor microenvironments through techniques such as Western blot (WB), immunohistochemistry (IHC), and immunofluorescence (IF) .
GBP2 antibodies are rigorously validated for specificity and functionality across diverse experimental models:
These antibodies target distinct epitopes, such as the N-terminal domain (ab179829) or C-terminal regions (ab247040) . Validation often involves knockout cell lines (e.g., A549 GBP2-KO) and cross-reactivity assays .
GBP2 antibodies have elucidated GBP2’s function in:
Pathogen Defense: GBP2 promotes inflammasome activation by lysing pathogen-containing vacuoles, releasing ligands like LPS for AIM2 or caspase-4/11 detection .
Viral Inhibition: GBP2 restricts HIV-1, Zika, and influenza A viruses by blocking furin-mediated viral envelope maturation .
Macrophage Polarization: GBP2 drives M1 macrophage polarization via Notch1 signaling, enhancing pro-inflammatory responses in diabetic nephropathy .
Prognostic Biomarker: High GBP2 correlates with poor prognosis in gastric cancer but predicts better immunotherapy response in melanoma and NSCLC .
Immune Evasion: In clear cell renal cell carcinoma (ccRCC), GBP2 upregulates PD-L1 via STAT1, facilitating tumor immune escape .
Dual Roles: GBP2 suppresses metastasis in breast/colon cancer by inhibiting Rac/MMP-9 pathways but promotes glioma progression via EGFR/KIF22 signaling .
GBP2 antibodies are instrumental in translational research:
Autoimmunity: Elevated GBP2 in lupus nephritis (LN) patients suggests its role in IFN-driven pathology .
Immunotherapy Prediction: GBP2 expression associates with "immune-hot" tumors, marked by high CD8+ T-cell infiltration and PD-L1 levels .
While GBP2 antibodies are robust tools, challenges persist:
KEGG: sce:YCL011C
STRING: 4932.YCL011C
GBP2 belongs to the large GTPases superfamily and is induced by interferon-gamma (IFN-γ). It plays an essential role in host natural and autonomous cellular immunity and has been implicated in various disease processes, particularly tumorigenesis . The protein consists of 591 amino acids with a molecular weight of approximately 67 kDa . GBP2 functions primarily through interactions with immune signaling pathways, particularly the JAK-STAT pathway, making it a critical component of the cellular immune response .
GBP2 demonstrates context-dependent functions across different tissues and disease states. For instance, while it inhibits migration in breast cancer cells, it facilitates invasion in glioma cells, highlighting its complex and sometimes contradictory roles in disease progression .
GBP2 expression has been detected in multiple tissue types and shows significant variability between normal and pathological states. According to antibody validation data, GBP2 protein is consistently detected in:
| Tissue/Cell Type | Detection Method | Notes |
|---|---|---|
| Human spleen tissue | IHC | Positive detection with suggested antigen retrieval using TE buffer pH 9.0 |
| Mouse spleen tissue | WB | Consistent positive detection |
| Rat spleen tissue | WB | Consistent positive detection |
| A375 cells | WB | Human melanoma cell line |
| HeLa cells | WB | Human cervical cancer cell line |
GBP2 expression is upregulated in multiple cancers, including glioblastoma multiforme (GBM), renal clear cell carcinoma (KIRC), renal papillary cell carcinoma (KIRP), brain lower grade glioma (LGG), liver hepatocellular carcinoma (LIHC), pancreatic adenocarcinoma (PAAD), and thyroid carcinoma (THCA) . Additionally, it shows high expression in activated microglia, particularly the M1 phenotype, which is relevant in neuroinflammatory conditions .
GBP2 plays a significant role in shaping the tumor immune microenvironment across various cancer types. Research indicates that GBP2 expression correlates strongly with immune cell infiltration patterns within tumors .
Patients with high GBP2 expression demonstrate increased infiltration of multiple immune cell types, as validated through sophisticated Opal multiplex immunohistochemistry in clear cell renal cell carcinoma (ccRCC) tissues. Specifically:
Increased infiltration of CD3+ T cells (general T lymphocytes)
Higher numbers of CD8+ T cells (cytotoxic T lymphocytes)
Greater infiltration of CD68+ macrophages
Enhanced presence of cells expressing immune checkpoint markers PD-1 and CTLA4
This immune-hot phenotype associated with GBP2 overexpression has been observed across multiple cancer types. GBP2 expression positively correlates with tumor-infiltrating immune cells (TIICs), including NK cells, T cells, dendritic cells, and neutrophils, though correlations with B cells, CD4+ T cells, and macrophages vary by cancer type .
Gene enrichment analyses reveal that genes positively correlated with GBP2 are enriched in interferon-γ response, allograft rejection, and interferon-α response pathways, further supporting its role in immune modulation within the tumor microenvironment .
GBP2 expression demonstrates distinct prognostic implications across cancer types, with considerable variability in its association with survival outcomes:
This variability highlights the context-dependent role of GBP2 in cancer progression. A five-protein prognostic signature incorporating GBP2 has been developed for ccRCC, demonstrating its value as part of multifactorial prognostic tools .
The dichotomy between GBP2's apparent tumor-promoting effects in most cancers versus its association with better prognosis in gastric cancer underscores the importance of context-specific analysis when evaluating GBP2 as a biomarker .
GBP2 has emerged as a promising predictor of immunotherapy response across multiple cancer types. Research indicates that GBP2 expression is positively associated with established immunotherapy biomarkers and correlates with clinical response to immune checkpoint inhibitors .
Key findings regarding GBP2 and immunotherapy include:
GBP2 expression positively correlates with PD-L1 expression, CD8+ T cell abundance, and PD1+ cell abundance, as validated through immunohistochemical analysis
GBP2 is negatively correlated with mismatch repair (MMR) gene expressions (MLH1, MSH2, MSH6, and PMS2), suggesting a potential relationship with microsatellite instability, a known predictor of immunotherapy response
GBP2 overexpression is observed in gastric cancer tumors with favorable immunotherapeutic response
GBP2 can predict immunotherapeutic responses in at least four different cancer types: melanoma, urothelial carcinoma, non-small cell lung cancer, and breast cancer
These findings suggest that GBP2 expression could serve as a pan-cancer biomarker for identifying patients likely to benefit from immunotherapy approaches, particularly immune checkpoint inhibitors.
For optimal GBP2 detection in immunohistochemistry applications, researchers should consider the following validated protocol parameters:
Tissue Preparation and Antigen Retrieval:
Recommended section thickness: 4 μm
Deparaffinization: Use xylene followed by rehydration
Antigen retrieval options:
Peroxidase quenching: Treat sections with 3% hydrogen peroxide
Blocking: Use appropriate blocking buffer to prevent non-specific binding
Antibody Application:
Primary antibody dilution range: 1:50-1:500 for IHC applications
Incubation conditions: Overnight at 4°C for primary antibody
Detection system: Standard secondary antibody system with appropriate chromogen
Controls and Validation:
Positive control tissues: Human spleen tissue has been validated for positive detection
Negative controls: Omission of primary antibody or use of isotype control
For multiplex immunohistochemistry applications involving GBP2 and immune cell markers (such as CD3, CD8, CD68, PD-1, and CTLA4), Opal multiplex immunohistochemistry has been successfully employed to evaluate co-expression patterns and spatial relationships between GBP2 and immune infiltrates .
For successful Western blot detection of GBP2, researchers should follow these recommendations:
Sample Preparation:
Antibody Parameters:
Recommended dilution range: 1:500-1:2000 for Western blot applications
Storage buffer considerations: PBS with 0.02% sodium azide and 50% glycerol pH 7.3
Storage conditions: -20°C, stable for one year after shipment; aliquoting is unnecessary for -20°C storage
Protocol Optimization:
It is recommended that researchers titrate the antibody in each testing system to obtain optimal results, as the optimal dilution may be sample-dependent
For specific Western blot protocols optimized for GBP2 detection, specialized protocols are available from antibody manufacturers
Several approaches have been validated for modulating GBP2 expression to study its function:
RNA Interference:
Short hairpin RNA (shRNA) targeting GBP2 has been successfully employed to downregulate GBP2 expression in microglia
This approach has demonstrated functional consequences of GBP2 downregulation, including effects on mitochondrial function in microglia and reduced neuronal damage in co-culture systems
Functional Readouts for GBP2 Modulation:
Cytokine production measurement via ELISA (IL-6, TNF-α, IL-10) to assess inflammatory responses
Cell death analysis using flow cytometry with FITC Annexin V Apoptosis Detection Kit to quantify apoptosis in co-culture systems
JAK/STAT pathway activation assessment to evaluate downstream signaling effects
Experimental Design Considerations:
Co-culture systems are particularly valuable for studying GBP2's role in cell-cell interactions, such as microglia-neuron or tumor-immune cell interactions
When studying GBP2 in cancer contexts, consideration of both cell-autonomous effects and effects on the tumor microenvironment is essential
GBP2 shows considerable promise as a biomarker in several aspects of cancer management:
Prognostic Applications:
GBP2 has been incorporated into a five-protein prognostic signature for clear cell renal cell carcinoma, demonstrating its value in multiparameter prognostic tools
High GBP2 expression correlates with poor survival outcomes in multiple cancer types, making it a potentially valuable indicator of aggressive disease
Immunotherapy Response Prediction:
GBP2 expression is a promising pan-cancer biomarker for estimating tumors' immunological characteristics and may be utilized to detect immuno-hot tumors, particularly in gastric cancer
GBP2 has demonstrated predictive value for immunotherapeutic responses in at least four different cancer types: melanoma, urothelial carcinoma, non-small cell lung cancer, and breast cancer
Strong correlation with established immunotherapy biomarkers (PD-L1, CD8+ T cells, PD1+ cells) further supports its value in this context
Implementation Considerations:
For clinical applications, immunohistochemical detection of GBP2 can be performed using validated antibodies at recommended dilutions (1:50-1:500)
Correlation with other immune markers may enhance the predictive value of GBP2 testing
Integration into existing diagnostic workflows should consider tissue-specific optimization and appropriate controls
Recent research has unveiled GBP2 as a promising therapeutic target for inflammation-related neurodegenerative diseases:
Rationale for GBP2 Targeting:
GBP2 is highly expressed in the brains of dementia mice and in brain disorders such as Alzheimer's disease
GBP2 exhibits high expression in M1 microglia, which are associated with pro-inflammatory responses in the brain
Downregulation of GBP2 in activated microglia has demonstrated anti-inflammatory effects
Experimental Evidence:
Studies using shRNA-mediated GBP2 knockdown in microglia have shown:
Therapeutic Development Considerations:
Targeting strategies might include RNA interference approaches, similar to the experimental shRNA models used in research
Assessment of therapeutic efficacy should include measures of neuroinflammation, neuronal viability, and cognitive outcomes in preclinical models
Potential for combination therapy with existing anti-inflammatory approaches should be explored
This emerging evidence suggests that GBP2 inhibition may represent a novel therapeutic strategy for neurodegenerative diseases characterized by chronic neuroinflammation, though additional research is needed to fully validate this approach for clinical development.
GBP2 demonstrates context-dependent functions that can vary dramatically between cancer types. When encountering inconsistent results across different cancer models, researchers should consider:
Biological Factors:
Tissue context variations: GBP2 inhibits migration in breast cancer but facilitates invasion in glioma, highlighting tissue-specific functions
Immune microenvironment differences: The composition of immune infiltrates can substantially modify GBP2's impact
Prognostic implications vary: High GBP2 expression correlates with poor prognosis in most cancers but better prognosis in gastric cancer
Experimental Approaches to Resolve Inconsistencies:
Perform comprehensive immune profiling alongside GBP2 analysis to contextualize findings within the immune microenvironment
Consider JAK/STAT pathway activation status, as GBP2 functions through this signaling axis
Validate findings across multiple model systems (cell lines, primary cells, animal models, and human specimens)
Employ both gain-of-function and loss-of-function approaches to fully characterize GBP2's role in specific contexts
Ensuring antibody specificity is crucial for generating reliable data about GBP2. Researchers should implement these validation strategies:
Technical Validation Approaches:
Positive controls: Use tissues known to express GBP2, such as human, mouse, or rat spleen tissue
Knockdown/knockout validation: Confirm antibody specificity using GBP2 knockdown or knockout samples
Multiple antibody validation: Compare results using antibodies targeting different epitopes of GBP2
Western blot validation: Confirm specific detection at the expected molecular weight (67 kDa)
Application-Specific Considerations:
For IHC applications: Optimize antigen retrieval methods, with TE buffer pH 9.0 recommended as primary choice and citrate buffer pH 6.0 as an alternative
For Western blot: Consider sample-dependent optimization of antibody dilution within the recommended range (1:500-1:2000)
For functional studies: Validate GBP2 modulation at both protein and mRNA levels
These comprehensive validation approaches help ensure that experimental findings truly reflect GBP2 biology rather than antibody artifacts or off-target effects.