ABCF2 (ATP-binding cassette subfamily F member 2) is a protein belonging to the ABC transporter superfamily. In humans, the canonical protein has 655 amino acid residues and a mass of 72.3 kDa, with subcellular localization primarily in the mitochondria and cell membrane . ABCF2 is involved in lipid metabolism and ion transport, with particularly high expression in the placenta .
Research significance:
Member of the GCN20 subfamily of ABC transporters
Implicated in cancer progression and chemoresistance
Potential biomarker for certain cancer types
Subject to post-translational modifications including N-glycosylation and phosphorylation
ABCF2 antibodies are versatile tools utilized across multiple experimental applications:
When selecting an application, consider the specific research question and whether qualitative or quantitative data is required .
When selecting between monoclonal and polyclonal ABCF2 antibodies, researchers should consider these fundamental differences:
Monoclonal ABCF2 Antibodies:
Derived from a single B-cell clone
Recognize a single epitope on ABCF2
Examples include clone 2001C1 (ab50807) and OTI5D5 (TA811212)
Advantages: High specificity, minimal batch-to-batch variation
Limitations: May be more sensitive to epitope modifications or denaturation
Polyclonal ABCF2 Antibodies:
Derived from multiple B-cell lineages
Recognize multiple epitopes on ABCF2
Advantages: Robust detection across various sample preparation conditions, stronger signal
Limitations: Potential for cross-reactivity, batch-to-batch variation
The choice between monoclonal and polyclonal antibodies should be guided by the specific experimental needs, with monoclonals preferred when absolute specificity is critical, and polyclonals when signal amplification is desired .
A comprehensive validation strategy for ABCF2 antibodies should include multiple approaches:
Knockout/Knockdown Validation:
Orthogonal Validation:
Application-Specific Validation:
Cross-Reactivity Assessment:
Test on non-target samples to evaluate potential cross-reactivity
Review antibody sequence alignment with other ABC family proteins
Validation is especially critical for ABCF2 due to its sequence similarity with other ABC transporters and the existence of up to two reported isoforms .
Optimizing Western blot protocols for ABCF2 detection requires attention to several key parameters:
Sample Preparation:
Use fresh lysates from cells with known ABCF2 expression (HeLa, MCF7, 293T)
Include protease inhibitors to prevent degradation
Protocol Optimization:
Primary antibody dilution: 1:500-1:3000, depending on specific antibody
Blocking: 5% non-fat milk or BSA in TBST
Incubation: Overnight at 4°C typically yields best results
Secondary antibody: Anti-species IgG HRP conjugate at 1:5000-1:10000
Positive Controls:
Troubleshooting Tips:
If detecting both isoforms, ensure gel separation is sufficient
For weak signals, consider extended primary antibody incubation time
For high background, increase washing steps and optimize blocking conditions
For successful ABCF2 immunohistochemistry staining, consider these methodological details:
Antigen Retrieval:
Heat-induced epitope retrieval with TE buffer pH 9.0 is recommended
Protocol Optimization:
Incubation time: Typically 1-2 hours at room temperature or overnight at 4°C
Detection system: Polymer-based systems often provide optimal signal-to-noise ratio
Tissue Considerations:
Positive control tissues: human colon cancer tissue , placenta
Expression patterns: Cytoplasmic and sometimes membrane staining expected
Background reduction: Endogenous peroxidase blocking and appropriate serum blocking
Validation Approaches:
Compare staining patterns with published data
Run parallel negative controls (omitting primary antibody)
Consider dual staining with markers of subcellular compartments to confirm localization
ABCF2 has been implicated in chemoresistance mechanisms, particularly in ovarian cancer. Research approaches using ABCF2 antibodies include:
Experimental Approaches:
Expression Correlation Studies:
Compare ABCF2 levels between sensitive and resistant cell lines using Western blot
Analyze patient samples with varying treatment responses using IHC
Functional Studies:
Mechanistic Investigations:
Research Findings:
NRF2-overexpressing ovarian cancer cells with high ABCF2 levels show greater resistance to cisplatin-induced apoptosis compared to control cells. Conversely, NRF2 knockdown cells with reduced ABCF2 expression display increased cisplatin sensitivity . Additionally, direct ABCF2 overexpression decreases apoptosis in parental cells treated with cisplatin, while ABCF2 knockdown increases apoptosis in cisplatin-resistant cells .
This evidence suggests ABCF2 antibodies are valuable tools for investigating chemoresistance mechanisms and potentially identifying therapeutic targets to improve treatment efficacy.
Recent research has identified novel heterodimeric ABC transporters involving ABCF family members. These can be investigated using specialized antibody-based approaches:
Heterodimer Detection Methods:
Co-immunoprecipitation (Co-IP):
Proximity Ligation Assay (PLA):
Visualize protein-protein interactions in situ
Requires pairs of antibodies against suspected interaction partners
Generates fluorescent signals only when proteins are in close proximity
NanoBRET Assays:
While specific ABCF2 heterodimers have not been fully characterized, studies of related ABC transporters (like ABCB5β/B6 and ABCB5β/B9) provide methodological frameworks that could be applied to ABCF2 research .
ABCF2's potential as a prognostic marker can be systematically investigated using antibody-based approaches:
Tissue Microarray (TMA) Analysis:
Use validated ABCF2 antibodies for IHC on cancer tissue microarrays
Score expression as positive/negative or using intensity scales
Correlate with clinical outcomes and survival data
Methodological Considerations:
Standardize staining protocols and scoring systems
Include relevant controls and blinded assessment
Combine with other markers to develop comprehensive prognostic panels
Consider molecular subtypes and treatment histories in analysis
Potential Applications:
Patient stratification for clinical trials
Treatment decision support
Development of targeted therapies against ABCF2 or its regulatory pathways
Various conjugated ABCF2 antibodies are available for specialized applications:
| Conjugate Type | Primary Applications | Advantages | Considerations |
|---|---|---|---|
| Phycoerythrin (PE) | Flow cytometry | High quantum yield, direct detection | Photobleaching, limited use in fixed samples |
| FITC | Flow cytometry, fluorescence microscopy | Widely used, compatible with standard filters | Lower brightness than newer fluorophores |
| Biotin | Versatile secondary detection | Amplification capacity, flexible detection | Additional streptavidin step required |
| Horseradish Peroxidase (HRP) | Direct WB, ELISA, IHC | No secondary antibody needed, simplified workflow | Less flexibility in detection systems |
| Alexa Fluor dyes | Advanced fluorescence applications | Superior brightness, photostability | Higher cost |
Application Guidance:
For multicolor flow cytometry: Select conjugates based on instrument configuration and panel design
For multiplexed imaging: Choose spectrally distinct fluorophores
For sensitive detection: Consider biotin conjugates with streptavidin amplification systems
Commercial offerings include human ABCF2 PE-conjugated antibodies for flow cytometry and various custom conjugation options for research applications .
Investigating ABCF2 subcellular localization requires specialized immunostaining approaches:
Immunofluorescence Microscopy:
Co-staining markers:
Mitochondria: MitoTracker, TOMM20
Cell membrane: Na+/K+ ATPase, WGA
ER/Golgi: for trafficking studies
Advanced Imaging Approaches:
Super-resolution microscopy (STED, STORM, PALM) for detailed subcellular distribution
Live-cell imaging with compatible antibody formats or correlation with GFP-tagged ABCF2
Electron microscopy immunogold labeling for ultrastructural localization
Dynamic Studies:
Treatment-induced relocalization (e.g., stress conditions, drug exposure)
Cell cycle-dependent changes in distribution
Co-localization with interaction partners
Validation Controls:
ABCF2 knockout cells for antibody specificity verification
Multiple antibodies targeting different epitopes to confirm patterns
Orthogonal approaches (fractionation + Western blot)
When facing contradictory ABCF2 staining patterns, consider these analytical approaches:
Potential Sources of Variation:
Tissue-specific expression of isoforms:
Differential post-translational modifications:
Context-dependent protein interactions:
Protein-protein interactions may mask epitopes
Complex formation may differ between tissues
Resolution Strategies:
Multiple antibody approach: Use several antibodies targeting different ABCF2 regions
Complementary techniques: Combine IHC with Western blot of tissue lysates
RNA verification: Correlate with RNAscope or RNA-seq data
Mass spectrometry validation: For definitive protein identification
Case Example:
In research on endometrial and cervical cancers, ABCF2 showed different prognostic significance between cancer types. While 55.8% of cervical cancers expressed ABCF2 with prognostic relevance, 69.9% of endometrial cancers expressed ABCF2 but without prognostic correlation . This suggests tissue-specific functions of ABCF2 that should be considered when interpreting antibody staining results.
For robust validation of ABCF2 antibodies, the following positive controls are recommended:
Cell Line Positive Controls:
Tissue Positive Controls:
Negative Controls:
ABCF2 knockout HEK-293T cells (available commercial cell lysates)
siRNA-treated cells showing knockdown
Tissues with minimal ABCF2 expression (based on RNA-seq data)
When establishing positive controls in your laboratory, verify expression using multiple detection methods and consider creating standardized lysates or fixed specimens for long-term quality control.
Optimizing ABCF2 immunoprecipitation requires attention to several key parameters:
Protocol Optimization:
Antibody selection: Choose antibodies validated for IP applications (e.g., 10226-1-AP)
Antibody amount: 0.5-4.0 μg for 1.0-3.0 mg of total protein lysate
Lysis conditions: Use buffers that preserve protein-protein interactions
RIPA buffer may disrupt some interactions; consider NP-40 or digitonin-based buffers
Include phosphatase inhibitors to preserve phosphorylation-dependent interactions
Cross-linking Considerations:
Consider reversible crosslinking for transient interactions
DSP or formaldehyde (low concentration) can stabilize complexes
Control Experiments:
IgG control IP to identify non-specific binding
Reverse IP with antibodies against suspected interaction partners
Input controls to assess IP efficiency
Case Example:
Research has demonstrated successful co-immunoprecipitation of ABC transporter heterodimers in melanoma cell lines Mel JuSo and UACC-257 using similar approaches, which could be adapted for ABCF2 studies .
Recent technological advances in antibody technology applicable to ABCF2 research include:
New Antibody Formats:
Recombinant antibody technology ensuring batch consistency
Single-domain antibodies (nanobodies) for accessing restricted epitopes
Bi-specific antibodies for co-detection of ABCF2 with interaction partners
Advanced Detection Methods:
Multiplexed imaging with cyclic immunofluorescence
Mass cytometry (CyTOF) for high-dimensional analysis
Proximity extension assays for sensitive protein detection
Functional Antibody Applications:
Intrabodies for live-cell tracking of ABCF2
Degradation-targeting chimeric antibodies for functional studies
Antibody-based biosensors for real-time monitoring
Emerging Research Applications:
Single-cell proteomics incorporating antibody-based detection
Spatial transcriptomics combined with antibody staining
AI-assisted image analysis for complex expression pattern characterization
These advances provide researchers with expanded capabilities for studying ABCF2 expression, localization, and function across various biological contexts and disease states.
ABCF2's relationship with cancer prognosis varies by cancer type and can be studied using several antibody-based methods:
Cancer Type-Specific Correlations:
Cervical Cancer: 55.8% of cases express ABCF2; positivity correlates with worse prognosis (risk ratio=1.437)
Endometrial Cancer: 69.9% express ABCF2 but without significant prognostic correlation
Ovarian Cancer: ABCF2 overexpression linked to cisplatin resistance
Optimal Detection Methods:
Tissue Microarrays (TMAs): Enables high-throughput analysis across many samples
Multiplex IHC/IF: Correlate ABCF2 with other markers
Co-staining with proliferation markers (Ki-67)
Analysis with immune infiltration markers
Combination with treatment response indicators
Digital Pathology Integration:
Quantitative image analysis for consistent scoring
Machine learning algorithms for pattern recognition
Correlation with clinical outcome data
Methodological Considerations:
The choice between cytoplasmic, membrane, or total ABCF2 scoring may influence prognostic correlations. Research indicates cytoplasmic ABCF2 expression is most commonly assessed for prognostic studies .
ABCF2 has been identified as an Nrf2 target gene with implications for cancer drug resistance:
Molecular Relationship:
ABCF2 contains a functional antioxidant response element (ARE) in its promoter region
Nrf2 activation upregulates ABCF2 expression
This relationship contributes to cisplatin resistance in ovarian cancer cells
Antibody-Based Investigation Approaches:
ChIP Assays:
Use anti-Nrf2 antibodies to immunoprecipitate chromatin
Detect ABCF2 promoter enrichment through PCR
Evaluate the functional role of the ARE
Dual Staining:
Co-staining of Nrf2 and ABCF2 in tissue sections
Correlation of nuclear Nrf2 with ABCF2 expression levels
Spatial relationship in tissue context
Pathway Analysis:
Western blot assessment of Nrf2-ABCF2 axis in response to oxidative stress
Effect of Nrf2 activators/inhibitors on ABCF2 expression
Correlation with other Nrf2 target genes
Research Findings:
Studies have demonstrated that NRF2-overexpressing cell lines contain high levels of ABCF2 and exhibit greater resistance to cisplatin-induced apoptosis . Conversely, NRF2 knockdown results in reduced ABCF2 levels and increased cisplatin sensitivity . Direct modulation of ABCF2 levels alone can alter cisplatin resistance, confirming its role in the Nrf2-mediated resistance pathway .
While ABCF2 research has primarily focused on cancer, antibody-based approaches can explore its broader physiological roles:
Potential Physiological Functions:
Ion transport mechanisms
Potential roles in drug transport or cellular detoxification
Membrane biogenesis and homeostasis
Research Approaches:
Developmental Biology:
Immunohistochemical analysis across developmental stages
Correlation with tissue differentiation and maturation
Expression in stem cells versus differentiated tissues
Stress Response Studies:
ABCF2 expression modulation under various cellular stressors
Co-localization with stress response proteins
Post-translational modification changes during stress
Physiological Models:
Expression in normal versus diseased tissues beyond cancer
Potential roles in inflammatory conditions
Regulation in response to hormonal signals
Disease Associations:
Though limited data exists, GeneCards indicates potential associations between ABCF2 and conditions such as Cystic Fibrosis and Osteogenesis Imperfecta, Type I , suggesting broader physiological roles that warrant investigation using antibody-based methods.
Researchers working with ABCF2 antibodies may encounter several technical challenges:
Common Issues and Solutions:
| Problem | Potential Causes | Solutions |
|---|---|---|
| No signal in Western blot | Low expression level, epitope masking | Use enriched samples (e.g., mitochondrial fraction), try different antibodies targeting alternative epitopes |
| Multiple bands | Isoforms, degradation, cross-reactivity | Verify with knockout controls, use fresh samples with protease inhibitors, try monoclonal antibodies |
| High background in IHC/IF | Non-specific binding, excessive antibody | Optimize blocking, reduce antibody concentration, increase washing steps |
| Inconsistent results | Batch variation, sample processing differences | Use recombinant antibodies, standardize protocols, include consistent positive controls |
| Weak immunoprecipitation | Low affinity for native protein | Try different antibodies, mild lysis conditions, crosslinking approaches |
Mitigation Strategies:
Enhanced Validation: Use knockout cell lines like ABCF2 knockout HEK-293T cells
Multiple Antibody Approach: Compare results from different clones/sources
Complementary Techniques: Verify findings with non-antibody-based methods
When selecting from various commercial ABCF2 antibodies, consider these evaluation criteria:
Key Selection Criteria:
Validation Data Quality:
Application-Specific Performance:
Target Specificity:
Publication Record:
Citation history in peer-reviewed literature
Use in similar experimental systems
Comparative Analysis Example:
For consistent results in extended ABCF2 research projects, implement these quality control measures:
Antibody Management:
Aliquot antibodies upon receipt to minimize freeze-thaw cycles
Document lot numbers and maintain records of performance
Consider creating reference standards for batch-to-batch comparison
Routine Validation:
Regular testing against positive and negative controls
Periodic verification with knockout/knockdown systems
Consistent use of standardized protocols
Comprehensive Documentation:
Detailed record-keeping of antibody source, lot, dilution, and performance
Imaging parameters, exposure settings, and analysis methods
Raw data storage alongside processed results
Long-term Stability Measures:
Storage according to manufacturer recommendations (typically -20°C)
Monitoring for signs of degradation (reduced sensitivity, increased background)
Consideration of more stable formats (e.g., lyophilized antibodies) for critical reagents
Inter-laboratory Standardization:
Round-robin testing if multiple laboratories are involved
Standard operating procedures (SOPs) for key applications
Reference sample exchange and comparison
Implementing these quality control measures increases data reliability and facilitates meaningful comparison of results over time, particularly important for projects involving patient samples or longitudinal studies.
Single-cell technologies offer exciting opportunities for advanced ABCF2 research:
Single-Cell Protein Analysis Applications:
Mass Cytometry (CyTOF):
Metal-conjugated ABCF2 antibodies enable high-dimensional analysis
Correlation with dozens of other proteins simultaneously
Particularly useful for heterogeneous tissue analysis
Single-Cell Western Blot:
Quantitative protein assessment at single-cell level
Reveals population heterogeneity in ABCF2 expression
Can detect rare subpopulations with distinct ABCF2 levels
Imaging Mass Cytometry/CODEX:
Spatial distribution of ABCF2 in tissue context
Relationship to microenvironmental features
Co-expression patterns with multiple markers
Integration with Other Single-Cell Data:
Correlation of ABCF2 protein levels with single-cell transcriptomics
Function in specific cell states or differentiation trajectories
Relationship to cellular metabolism at single-cell resolution
Emerging Research Questions:
Cell-to-cell variation in ABCF2 expression within tumors
Identification of rare ABCF2-high cells with potential stem-like properties
Dynamics of ABCF2 expression in response to treatment at single-cell level
The discovery of heterodimeric ABC transporters opens new avenues for ABCF2 research:
Potential Research Directions:
Identification of ABCF2 Binding Partners:
Co-immunoprecipitation with ABCF2-specific antibodies
Mass spectrometry analysis of interacting proteins
Validation of interactions using reciprocal co-IP
Functional Characterization:
How heterodimer formation affects localization and function
Impact on substrate specificity and transport capacity
Regulation of heterodimer formation under different conditions
Structural Studies:
Proximity ligation assays to confirm interactions in situ
Antibody epitope mapping to identify interaction domains
Correlation with structural predictions from homology modeling
Methodological Approaches:
Research on ABCB5β/B6 and ABCB5β/B9 heterodimers has employed NanoBRET assays and validation by immunoprecipitation in melanoma cell lines . Similar approaches could be adapted for ABCF2, potentially revealing novel heterodimeric complexes with functional significance.
Therapeutic Implications:
Understanding ABCF2 heterodimer formation could reveal new opportunities for therapeutic intervention, particularly in cancer contexts where ABCF2 contributes to drug resistance .
ABCF2 antibodies hold significant potential for translational applications:
Diagnostic Applications:
Prognostic Biomarker Development:
Standardized IHC protocols for clinical application
Integration into multi-marker prognostic panels
Correlation with treatment response prediction
Companion Diagnostics:
Identification of patients likely to benefit from specific therapies
Monitoring of ABCF2 expression during treatment
Early detection of resistance development
Therapeutic Applications:
Antibody-Drug Conjugates (ADCs):
If ABCF2 is accessible at cell surface in certain contexts
Targeted delivery of cytotoxic agents to ABCF2-expressing cells
Functional Inhibition:
Intracellular antibody delivery systems
Antibody fragments that disrupt ABCF2 function or interactions
Structure-guided development of small molecule inhibitors
Research Supporting Clinical Translation:
Correlation of ABCF2 with clinical outcomes across cancer types
Combination strategies targeting ABCF2 and related pathways
Development of standardized clinical assays