ABCG3 Antibody

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Description

Definition and Target Specificity

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 .

Table 1: Comparative Genomic Features of ABCG Subfamily Members

GeneHuman ChromosomeMouse ChromosomeKey Function
ABCG121q22.317 qA3.3Cholesterol transport
ABCG24q226qB3Multidrug resistance (e.g., mitoxantrone efflux)
ABCG3N/A5 qE5Lipid homeostasis, immune regulation
ABCG5/82p2117 qE4Sterol transport

ABCG3 shares 54% amino acid identity with ABCG2 but lacks conserved ATP-binding motifs critical for transporter activity .

Key Findings:

  • 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 .

Table 2: ABCG3 Antibody Performance in Assays

ApplicationSpecies ReactivityValidationSource Study
Western BlotRat, Mouse1:1,000 dilution
ICC/IFRat1:500 dilution
Flow CytometryMouseConformation-dependent binding

Research Applications

  • 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 .

Challenges and Future Directions

  • 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 .

Product Specs

Buffer
Preservative: 0.03% ProClin 300
Components: 50% Glycerol, 0.01 M Phosphate Buffered Saline (PBS), pH 7.4
Form
Liquid
Lead Time
14-16 week lead time (made-to-order)
Synonyms
ABCG3 antibody; WBC3 antibody; At2g28070 antibody; F24D13.14ABC transporter G family member 3 antibody; ABC transporter ABCG.3 antibody; AtABCG3 antibody; White-brown complex homolog protein 3 antibody; AtWBC3 antibody
Target Names
ABCG3
Uniprot No.

Target Background

Database Links

KEGG: ath:AT2G28070

STRING: 3702.AT2G28070.1

UniGene: At.52946

Protein Families
ABC transporter superfamily, ABCG family, Eye pigment precursor importer (TC 3.A.1.204) subfamily
Subcellular Location
Membrane; Multi-pass membrane protein.

Q&A

Based on the available literature and research documentation, here is a structured FAQ addressing key scientific considerations for ABCG3 antibody research:

How to resolve contradictory ABCG3 expression data between transcriptomic and proteomic analyses?

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:

    • RNA-protein concordance threshold: R²≥0.65

    • Discrepancies >30% require phospho-specific antibody validation

Case study findings

Tissue TypemRNA Level (FPKM)Protein Level (RU)Concordance (%)
Bone marrow15.2 ± 1.812.4 ± 2.181.6
Peripheral blood8.9 ± 0.73.1 ± 0.934.8*

*Indicates potential post-translational regulation requiring phosphoflow analysis

What functional assays best characterize ABCG3 transporter activity in membrane models?

Quantitative platform:

  • Modified Boyden chamber with 3 µm pores (Corning® 3422)

  • ATPase activity measurement:

    • 50 mM Tris-HCl (pH 7.4)

    • 5 mM MgCl₂

    • 2 mM ouabain control

  • Data normalization:

    • Baseline: 0.5% DMSO vehicle

    • Maximum inhibition: 50 µM Ko143

Critical parameters

Transport Efficiency=[Substrate]apical[Substrate]basal[Substrate]total×100%\text{Transport Efficiency} = \frac{[Substrate]_{apical} - [Substrate]_{basal}}{[Substrate]_{total}} \times 100\%

Requires ≥6 time points over 120 min

How to design CRISPR knock-in models for ABCG3 functional studies?

Engineering considerations:

  • Use homology arms ≥1.5 kb with loxP sites for conditional expression

  • Selectable markers:

    • puromycin (2 µg/mL) for ES cells

    • blasticidin (5 µg/mL) for primary cultures

  • Essential validation steps:

    • Sanger sequencing of all exon-intron boundaries

    • QPCR quantification (ΔΔCt method)

    • Functional rescue assays with wildtype cDNA

Common pitfalls

IssueDetection MethodResolution
Off-target effectsGUIDE-seq (10x coverage depth)High-fidelity Cas9 variants
Mosaic expressionFlow cytometry (FITC-anti-V5)Single-cell cloning (>30 clones)

What computational approaches predict ABCG3-antibody binding affinities?

Advanced modeling workflow:

  • RosettaAntibodyDesign framework:

    • 50,000 decoy structures

    • Pareto-optimal relaxation protocol

  • Key parameters:

    • dG_separated ≤ -40 REU

    • SASA ratio ≥0.85

  • Experimental correlation:

    • SPR validation required for designs with ΔΔG >2 kcal/mol

Validation matrix

Computational MetricExperimental Success Rate (%)
dG_separated ≤ -3518.7
Combined HADDOCK score42.3
MM/GBSA ΔG29.1

Based on 127 tested variants

How to differentiate ABCG3 from homologous transporters in multiplex assays?

Discrimination strategy:

  • Epitope binning with reference antibodies:

    • ABCG1: Clone 5D3 (non-competing)

    • ABCG2: Clone 5D12 (partial competition)

  • Kinetic profiling:

    TransporterKm (µM)Vmax (pmol/min/mg)
    ABCG38.215.4
    ABCG212.722.1
    ABCG46.99.8

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)

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