At1g33170 Antibody

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Product Specs

Buffer
Preservative: 0.03% Proclin 300
Constituents: 50% Glycerol, 0.01M Phosphate Buffered Saline (PBS), pH 7.4
Form
Liquid
Lead Time
Made-to-order (14-16 weeks)
Synonyms
At1g33170 antibody; T16O9.7 antibody; T9L6.6 antibody; Probable methyltransferase PMT18 antibody; EC 2.1.1.- antibody
Target Names
At1g33170
Uniprot No.

Target Background

Database Links

KEGG: ath:AT1G33170

STRING: 3702.AT1G33170.1

UniGene: At.15876

Protein Families
Methyltransferase superfamily
Subcellular Location
Endoplasmic reticulum membrane; Single-pass type II membrane protein.

Q&A

Frequently Asked Questions on AT1G33170 Antibody Research

Advanced Research Questions

How to resolve discrepancies in AT1G33170 subcellular localization studies?

  • Approach:

    • Compare methodologies: Confocal microscopy (GFP-tagged vs. antibody staining) and subcellular fractionation with immunoblotting .

    • Assess antibody cross-reactivity using proteome-wide PhIP-Seq .

    • Validate findings with orthogonal techniques (e.g., TEM immunogold labeling) .

Table 1: Common Localization Discrepancies and Solutions

ObservationPotential CauseResolution
Nuclear signal in WT but not KONon-specific bindingUse knockout-validated antibodies
Cytoplasmic vs. membrane signalEpitope accessibilityTry antigen retrieval with proteinase K

What computational tools predict AT1G33170 antibody-antigen binding dynamics?

  • Framework:

    • RosettaAntibodyDesign (RAbD): Models CDR loops and optimizes binding affinity .

    • Molecular dynamics (MD) simulations: Predict conformational stability of antibody-antigen complexes .

    • Epitope binning: Identifies non-overlapping epitopes for multi-specific antibody engineering .

How to design a bispecific antibody targeting AT1G33170 and a compensatory pathway protein?

  • Strategy:

    • Use tetravalent architecture (e.g., IgG-scFv) for dual targeting .

    • Validate synergistic effects via:

      • Phosphorylation profiling (e.g., PI3K/AKT/mTOR pathway) .

      • In vivo tumor models with resistance to single-target therapies .

    • Assess manufacturability using high-throughput thermal challenge assays .

Data Contradiction Analysis

How to interpret conflicting AT1G33170 functional data across plant stress studies?

  • Steps:

    • Meta-analysis: Compare experimental conditions (e.g., stress duration, abiotic vs. biotic triggers).

    • Pathway mapping: Overlay transcriptomic/proteomic data to identify context-dependent interactors .

    • Phenotypic rescue: Express AT1G33170 in knockout lines under disputed conditions .

Table 2: Common Confounding Factors in Functional Studies

FactorImpactMitigation
Genetic background (ecotypes)Altered stress responsesUse isogenic lines
Antibody lot variabilityInconsistent stainingStandardize validation across batches
Diurnal expression cyclesMisinterpreted activitySample at consistent Zeitgeber times

Methodological Innovations

Can phage-display libraries accelerate AT1G33170 antibody discovery?

  • Workflow:

    • Pan library against recombinant AT1G33170 extracellular domain.

    • Isolate high-affinity scFvs (KD < 10 nM) via biopanning .

    • Reformulate as IgG and validate in planta .

How to assess AT1G33170 antibody therapeutic potential in humanized models?

  • Pipeline:

    • Engineer cross-reactive antibodies using yeast surface display .

    • Test inducible systems (e.g., dexamethasone-treated Arabidopsis lines expressing human orthologs).

    • Evaluate safety via:

      • Off-target screening using human protein microarrays .

      • Toxicity studies in murine models .

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