PAGR Antibody

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Product Specs

Buffer
Preservative: 0.03% ProClin 300
Components: 50% Glycerol, 0.01M PBS, pH 7.4
Form
Liquid
Lead Time
14-16 Weeks (Made-to-Order)
Synonyms
PAGR antibody; OFUT26 antibody; At3g26370 antibody; F20C19.9Protein PECTIC ARABINOGALACTAN SYNTHESIS-RELATED antibody; EC 2.4.1.- antibody; O-fucosyltransferase 26 antibody; O-FucT-26 antibody; O-fucosyltransferase family protein antibody
Target Names
PAGR
Uniprot No.

Target Background

Function
This antibody targets a glycosyltransferase enzyme involved in the biosynthesis of type-II arabinogalactan, a component of pectin.
Gene References Into Functions
The gene encoding this glycosyltransferase, designated *At3g26370*, has been identified and named PAGR (Pectic Arabinogalactan synthesis-Related). Further details can be found in the following publication:
PMID: 27091363
Database Links

KEGG: ath:AT3G26370

STRING: 3702.AT3G26370.1

UniGene: At.37219

Protein Families
Glycosyltransferase GT65R family
Subcellular Location
Golgi apparatus membrane; Single-pass type II membrane protein.
Tissue Specificity
Widely expressed with the highest expression in reproductive tissues and roots.

Q&A

Basic Research Questions

  • How to validate PAGR antibody specificity in T-cell functional assays?

    • Perform immunoprecipitation followed by mass spectrometry to confirm target binding .

    • Use knockout cell lines (e.g., PAG KO Jurkat T cells) to verify loss of signal in flow cytometry or Western blot .

    • Combine confocal microscopy with immune synapse assays to validate spatial localization (e.g., exclusion from synapse in Fc-PAG-GFP constructs) .

  • What experimental models are appropriate for studying PAGR antibody effects on tumor immunity?

    • In vitro: Co-culture transfected Jurkat T cells (expressing PAG-GFP) with Raji B cells to study immune synapse dynamics .

    • In vivo: Use MC38 colon adenocarcinoma or B16 melanoma models in wild-type vs. PAG KO mice to assess tumor growth and T-cell infiltration post-antibody administration .

  • What are standard protocols for assessing PAGR antibody binding affinity?

    • Primary screening: ELISA with immobilized PAG extracellular domain peptides (amino acids 1–16) .

    • Secondary validation: Flow cytometry on intact A549 cells stably expressing PAG-GFP .

    • Include controls with irrelevant antibodies (e.g., anti-KLH) to rule out nonspecific binding .

Advanced Research Questions

  • How to resolve contradictions in PAG localization data across studies?

    • Hypothesis: Discrepancies may arise from extracellular domain cleavage or steric hindrance.

    • Method:

      1. Express full-length PAG conjugated to Fc tags (e.g., Fc-PAG-GFP) to mimic antibody binding .

      2. Compare localization patterns using live imaging in immune synapse assays .

      3. Validate with mass spectrometry to confirm extracellular domain integrity .

  • What strategies optimize PAGR antibody efficacy in reversing PD-1-mediated T-cell inhibition?

    • Combination therapy: Co-administer anti-PAG and anti-PD-1 antibodies in MC38 tumor-bearing mice; monitor tumor volume and CD8+ T-cell infiltration .

    • Glycoengineering: Modulate antibody galactosylation via polyamine supplementation (e.g., spermidine) in CHO cell cultures to enhance Fc effector function .

  • How to address cross-reactivity in antibodies targeting PAG’s extracellular domain?

    • Design: Use hybridoma libraries from mice immunized with human PAG peptides (1–16) conjugated to KLH .

    • Screening:

      • Prioritize clones showing >90% binding to PAG+ cells vs. <5% to PAG- cells in flow cytometry .

      • Test against homologs (e.g., murine PAG) to confirm cross-species reactivity .

Table 1: Key Techniques for PAGR Antibody Characterization

TechniqueApplicationExample OutcomeSource
ELISABinding affinity screeningEC50 ≤ 10 nM for PAG peptide
Flow cytometryCell-surface binding validation>95% specificity in A549-PAG-GFP
Confocal imagingImmune synapse localization analysisFc-PAG-GFP excluded from synapse
MD simulationsEpitope interaction modelingPredicted ΔΔG < -2 kcal/mol for mutants

Data Contradiction Analysis

  • Issue: Variability in IgG galactosylation levels during antibody production .

    • Root cause: Polyamine depletion (e.g., via DFMO) induces ER stress, altering B4GALT1 mRNA levels .

    • Solution: Supplement culture media with 1–5 μM spermidine to stabilize glycosylation profiles .

  • Issue: Inconsistent T-cell activation post-antibody treatment .

    • Root cause: Batch-dependent Fc glycosylation impacting FcγR interactions.

    • Solution: Implement glycan profiling (e.g., HILIC-UPLC) for quality control .

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