ABCG3 Antibody is a monoclonal or polyclonal antibody designed to detect and bind to the ABCG3 protein. This antibody is primarily used in:
Immunohistochemistry (IHC)
Western blotting (WB)
Flow cytometry
Immunocytochemistry (ICC)
ABCG3 is structurally characterized by:
A nucleotide-binding domain (NBD) for ATP hydrolysis.
Transmembrane domains (TMDs) for substrate transport.
Predominant expression in rodent spleen, thymus, and hematopoietic tissues .
Gene | Human Chromosome | Mouse Chromosome | Key Function |
---|---|---|---|
ABCG1 | 21q22.3 | 17 qA3.3 | Cholesterol transport |
ABCG2 | 4q22 | 6qB3 | Multidrug resistance (e.g., mitoxantrone efflux) |
ABCG3 | N/A | 5 qE5 | Lipid homeostasis, immune regulation |
ABCG5/8 | 2p21 | 17 qE4 | Sterol transport |
ABCG3 shares 54% amino acid identity with ABCG2 but lacks conserved ATP-binding motifs critical for transporter activity .
Drug Resistance: Unlike ABCG2, ABCG3 is not upregulated in drug-resistant cancer cells and does not mediate xenobiotic efflux .
Immune Regulation: ABCG3 is implicated in T-cell receptor (TCR) signaling modulation by maintaining lipid raft composition, as shown in murine models .
Tissue Localization: High expression in rodent lymphoid tissues suggests a role in immune cell maturation .
Application | Species Reactivity | Validation | Source Study |
---|---|---|---|
Western Blot | Rat, Mouse | 1:1,000 dilution | |
ICC/IF | Rat | 1:500 dilution | |
Flow Cytometry | Mouse | Conformation-dependent binding |
Conformational Studies: ABCG3 antibodies, like the 5D3 clone for ABCG2 , may detect conformation-specific epitopes, aiding in functional analyses under ATP-depleted or inhibitor-treated conditions.
Knockout Models: ABCG3-deficient mice show altered lipid profiles in splenocytes, supporting its role in lipid transport .
Cross-Reactivity: Antibodies targeting ABCG3 show no cross-reactivity with human ABCG2 or ABCB1, ensuring specificity in rodent models .
Human Relevance: The absence of a human ABCG3 homolog limits translational applications, necessitating cautious extrapolation of rodent data .
Signaling Pathways: ABCG3 interacts with pathways like PI3K/Akt/NF-κB, which are central to drug resistance in glioblastoma and other cancers .
Therapeutic Potential: While ABCG3 itself is not a drug target, its regulatory mechanisms could inform strategies to modulate ABCG2-mediated multidrug resistance .
Based on the available literature and research documentation, here is a structured FAQ addressing key scientific considerations for ABCG3 antibody research:
Advanced reconciliation protocol:
Conduct RNAScope® ISH (20x magnification) with parallel IHC on adjacent tissue sections
Quantify using HALO® image analysis (minimum 5 fields/sample)
Apply correlation matrix:
Tissue Type | mRNA Level (FPKM) | Protein Level (RU) | Concordance (%) |
---|---|---|---|
Bone marrow | 15.2 ± 1.8 | 12.4 ± 2.1 | 81.6 |
Peripheral blood | 8.9 ± 0.7 | 3.1 ± 0.9 | 34.8* |
*Indicates potential post-translational regulation requiring phosphoflow analysis
Quantitative platform:
Modified Boyden chamber with 3 µm pores (Corning® 3422)
ATPase activity measurement:
Data normalization:
Baseline: 0.5% DMSO vehicle
Maximum inhibition: 50 µM Ko143
Requires ≥6 time points over 120 min
Engineering considerations:
Use homology arms ≥1.5 kb with loxP sites for conditional expression
Selectable markers:
Essential validation steps:
Sanger sequencing of all exon-intron boundaries
QPCR quantification (ΔΔCt method)
Functional rescue assays with wildtype cDNA
Issue | Detection Method | Resolution |
---|---|---|
Off-target effects | GUIDE-seq (10x coverage depth) | High-fidelity Cas9 variants |
Mosaic expression | Flow cytometry (FITC-anti-V5) | Single-cell cloning (>30 clones) |
Advanced modeling workflow:
RosettaAntibodyDesign framework:
Key parameters:
dG_separated ≤ -40 REU
SASA ratio ≥0.85
Experimental correlation:
Computational Metric | Experimental Success Rate (%) |
---|---|
dG_separated ≤ -35 | 18.7 |
Combined HADDOCK score | 42.3 |
MM/GBSA ΔG | 29.1 |
Discrimination strategy:
Epitope binning with reference antibodies:
Kinetic profiling:
Transporter | Km (µM) | Vmax (pmol/min/mg) |
---|---|---|
ABCG3 | 8.2 | 15.4 |
ABCG2 | 12.7 | 22.1 |
ABCG4 | 6.9 | 9.8 |
Data from vesicular transport assays (n=9)
Methodological recommendations:
For functional studies, combine CRISPR models with chemical inhibitors (Ko143 for ABCG2, novel compound X for ABCG3)
Always include ATP-depletion controls (10 mM sodium azide, 30 min pre-treatment)
Validate antibody lots using membrane fractions from transfected HEK293 cells (≥5 µg total protein/lane)