KEGG: ath:AT2G37280
STRING: 3702.AT2G37280.1
ABCG2, also designated as CD338, is a member of the multi-drug resistance (MDR) family of transporters. It is highly expressed on primitive "side-population" (SP) stem cells and functions primarily as an efflux transporter. Its biological significance stems from its ability to remove toxins from cells, regulate stem cell differentiation, and confer resistance to various chemotherapeutic agents including anthracyclines, mitoxantrone, bisantrene, and topotecan . The protein's conservation across multiple species underscores its fundamental importance in cellular protection mechanisms .
ABCG2/CD338 serves as a crucial stem cell marker due to its role in creating the side population (SP) phenotype. In bone marrow, approximately 0.05% of cells display low fluorescence when exposed to dyes like Rhodamine 123 and Hoechst 33342, and these cells are highly enriched for repopulating potential . These SP cells typically express low or undetectable levels of CD34 and have been identified across multiple species. The ABCG2 transporter actively effluxes these fluorescent dyes, creating a distinctive flow cytometric profile that allows researchers to identify and isolate stem cell populations with high repopulation capacity .
ABCG2/CD338 has several noteworthy structural and biochemical characteristics:
It contains an extracellular portion that serves as the binding site for antibodies like clone 5D3
The protein may undergo N-linked glycosylation, affecting its molecular weight and function
ABCG2 may dimerize in vivo, which is important for its transport functionality
Its theoretical molecular weight is approximately 72 kDa, though post-translational modifications can alter the observed molecular weight in experimental conditions
The protein contains specific sequence regions that are highly conserved and serve as epitopes for antibody binding, such as the sequence SGLSGDVLINGAPRPANFKCNSGYVVQDDVVMGTLTVRENLQFSAALRLATTMTNHEKNERINRVIQELGLDKVADSKVGTQFIRGVSGGERKRTSIGMEL in human ABCG2
For optimal flow cytometric analysis with ABCG2/CD338 antibodies:
Sample Preparation and Antibody Titration:
Use ≤1 μg of antibody per test (defined as the amount needed to stain a cell sample in a final volume of 100 μL)
Cell concentration should be determined empirically but typically ranges from 10^5 to 10^8 cells/test
Careful titration is essential for optimal performance - start with a dilution series to determine minimal saturating concentration
Recommended Controls:
Include unstained cells, isotype controls, and positive controls (ABCG2-transfected cells)
For SP analysis, include samples with ABCG2 inhibitors to confirm specificity of the dye efflux pattern
Analysis Parameters:
When analyzing SP cells, use dual-wavelength analysis for Hoechst 33342 (blue vs. red emission)
Gate on live cells (using appropriate viability dye) before analyzing ABCG2 expression
When studying heterogeneous populations, consider co-staining with additional stem cell markers
For western blot applications using ABCG2/CD338 antibodies:
Sample Preparation:
Prepare cell or tissue lysates using protocols that preserve membrane protein integrity
For ABCG2/CD338 detection, a concentration of 1:500 to 1:2000 of primary antibody is recommended
Experimental Parameters:
Use appropriate loading controls for membrane proteins
Expected band size is approximately 72 kDa, though this may vary due to post-translational modifications
Secondary antibody selection should match the host species of the primary antibody (e.g., HRP-linked anti-rabbit IgG for rabbit monoclonal antibodies)
Data from Validation Experiments:
Analysis of extracts from various cell lines using ABCG2/CD338 antibody (such as clone 2K8X1) at 1:1000 dilution with HRP Goat Anti-Rabbit IgG secondary antibody at 1:10000 dilution has been successful. The protocol typically uses 25μg protein per lane, 3% nonfat dry milk in TBST as blocking buffer, and ECL detection with approximately 10s exposure time .
When selecting between different antibody clones for ABCG2/CD338 detection:
Epitope Recognition:
Consider the epitope target - some antibodies like clone 5D3 recognize the extracellular portion of ABCG2
Clone 2K8X1 recognizes a synthetic peptide corresponding to amino acids 100-200 of human ABCG2/CD338
Clone Characteristics:
Application-specific Performance:
For flow cytometry of live cells, antibodies recognizing extracellular epitopes (like 5D3) are preferable
For western blot, antibodies validated specifically for denatured proteins should be selected
Recombinant monoclonal antibodies (like 2K8X1) may offer advantages in terms of batch-to-batch consistency
Detecting low-abundance ABCG2/CD338 presents several challenges that researchers can address through:
Signal Amplification Strategies:
For flow cytometry: Use of biotin-conjugated primary antibodies (like the biotinylated 5D3 clone) followed by streptavidin-fluorophore for signal amplification
For western blot: Consider enhanced chemiluminescence (ECL) systems with longer exposure times
Implementation of tyramide signal amplification for immunohistochemistry applications
Enrichment Techniques:
SP cell isolation through Hoechst 33342 dye efflux before antibody staining
Magnetic-activated cell sorting (MACS) pre-enrichment before flow cytometric analysis
Subcellular fractionation to concentrate membrane proteins before western blot
Optimization Parameters:
Increase antibody concentration while monitoring signal-to-noise ratio
Extend incubation times at lower temperatures to enhance specific binding
Reduce background through optimized blocking and washing steps
Consider using high-sensitivity imaging systems or flow cytometers with enhanced sensitivity
When faced with contradictory data regarding ABCG2/CD338 expression:
Technical Validation:
Cross-validate with multiple antibody clones recognizing different epitopes
Employ complementary techniques (qPCR, western blot, flow cytometry) to corroborate findings
Investigate potential post-translational modifications that might affect epitope accessibility
Control Implementation:
Include positive controls (ABCG2-transfected cells) and negative controls (knockout cells)
Use functional assays (like SP analysis with Hoechst efflux) to confirm ABCG2 activity
Apply competitive binding with known ABCG2 inhibitors to verify specificity
Data Reconciliation Framework:
Systematically document methodological differences between contradictory studies
Evaluate differences in cell/tissue preparation protocols
Consider variability in antibody lots, clones, and detection systems
Assess potential biological influences (cell cycle stage, differentiation status, stress conditions)
Implement statistical methods to determine significance of observed differences
Post-translational modifications significantly impact ABCG2/CD338 detection:
N-linked Glycosylation:
Dimerization Effects:
ABCG2 may dimerize in vivo , leading to:
Altered epitope presentation
Changes in antibody binding kinetics
Different functional states that may be detected with variable efficiency
Experimental Approaches to Address PTM Influence:
Enzymatic deglycosylation before analysis to standardize detection
Use of reducing and non-reducing conditions in western blot to evaluate dimerization
Application of cross-linking agents to stabilize protein complexes
Selection of antibodies with epitopes less affected by known PTMs
Essential controls for validating ABCG2/CD338 antibody specificity include:
Positive Controls:
Cell lines with confirmed ABCG2 expression (e.g., ABCG2-transfected cells)
Tissues with known high ABCG2 expression (e.g., placenta)
Negative Controls:
Isotype controls matched to the primary antibody class and host species
ABCG2 knockout or knockdown cells
Pre-absorption of antibody with immunizing peptide (especially for antibodies like 2K8X1 raised against synthetic peptides)
Functional Controls:
Side population analysis with and without ABCG2 inhibitors (e.g., Fumitremorgin C)
Competitive binding assays with unlabeled antibody
Sequential staining with different ABCG2 antibody clones targeting non-overlapping epitopes
Common sources of variability in ABCG2/CD338 antibody experiments include:
Antibody-Related Factors:
Lot-to-lot variability (especially with polyclonal antibodies)
Storage conditions affecting antibody stability
Suboptimal concentration or incubation conditions
Sample Preparation Variables:
Cell fixation methods affecting epitope accessibility
Protein denaturation conditions for western blot
Sample storage time and conditions before analysis
Technical Considerations:
Variability in flow cytometer settings and calibration
Inconsistent blocking or washing procedures
Differences in detection reagents (secondary antibodies, ECL substrates)
Standardization Recommendations:
Implement detailed standard operating procedures (SOPs)
Include internal reference samples across experiments
Document lot numbers, concentration, and protocols for reproducibility
When encountering unexpected molecular weight variations:
Likely Explanation Framework:
Post-translational modifications, particularly N-linked glycosylation
Partial proteolytic degradation during sample preparation
Alternative splicing variants of ABCG2
Investigative Approach:
Compare observed bands with theoretical molecular weight (72 kDa for ABCG2/CD338)
Employ deglycosylation enzymes to determine contribution of glycosylation
Use reducing and non-reducing conditions to assess dimer/multimer formation
Apply phosphatase treatment to evaluate phosphorylation contribution
Include protease inhibitors during sample preparation to minimize degradation
Interpretation Guidelines:
Document consistent patterns of multiple bands across samples
Consider functional correlations with different molecular weight species
Reference literature for known ABCG2 isoforms and their molecular weights
Validate observations with complementary techniques (e.g., mass spectrometry)
Emerging technologies offer promising advancements for ABCG2/CD338 research:
Advanced Imaging Technologies:
Super-resolution microscopy for precise subcellular localization
Live-cell imaging with labeled antibody fragments to track ABCG2 trafficking
Multiplex imaging with simultaneous detection of multiple stem cell markers
Novel Antibody Formats:
Single-domain antibodies for improved access to challenging epitopes
Bispecific antibodies for co-detection of ABCG2 with interaction partners
Site-specific conjugation strategies for improved fluorophore attachment
High-Throughput Approaches:
Multiplexed flow cytometry for comprehensive stem cell profiling
Antibody microarrays for rapid screening of ABCG2 expression
Single-cell proteomics to correlate ABCG2 expression with other markers
Key unresolved questions in ABCG2/CD338 research include:
Functional Regulation:
How does the interplay between dimerization and glycosylation affect ABCG2 function?
What signaling pathways modulate ABCG2 expression in different stem cell populations?
How does ABCG2's role in removing toxins from cells intersect with its role in stem cell differentiation?
Clinical Relevance:
Can ABCG2 expression patterns predict stem cell potency in regenerative medicine applications?
What is the precise mechanism by which ABCG2 confers resistance to specific chemotherapeutic agents?
How can ABCG2 detection be optimized for identification of therapy-resistant cancer stem cells?
Methodological Challenges:
Development of antibodies that distinguish between different functional states of ABCG2
Standardization of protocols for quantitative assessment of ABCG2 transport activity
Creation of improved in vitro models that recapitulate in vivo ABCG2 regulation
To enhance reproducibility in ABCG2/CD338 antibody research:
Standardization Initiatives:
Development of reference materials for antibody validation
Establishment of minimum information reporting standards for ABCG2 detection methods
Creation of open-access databases documenting antibody performance across applications
Technical Innovations:
Recombinant antibody technologies with defined sequence and consistent production
Automated sample preparation systems to reduce technical variability
Digital lab notebooks with standardized protocols and quality control parameters
Community Practices:
Pre-registration of experimental designs and analysis plans
Implementation of blinded analysis where possible
Cross-laboratory validation studies using identical protocols and reagents
Development of application-specific positive and negative control panels