AtMg01230 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
AtMg01230; At2g07697; Uncharacterized mitochondrial protein AtMg01230; ORF145b
Target Names
AtMg01230;
Uniprot No.

Target Background

Database Links
Subcellular Location
Mitochondrion membrane; Single-pass membrane protein.

Q&A

FAQs for AtMg01230 Antibody Research (Academic Focus)

Advanced Research Questions

How to resolve contradictory localization data for AtMg01230 across studies?

  • Analysis framework:

    Study A (Membrane-bound)Study B (Matrix-localized)
    Fixation methodGlutaraldehydeParaformaldehyde
    Permeabilization0.1% Triton X-1000.5% Saponin
    ValidationSubmit to Plant Cell antibody validation guidelines
    • Solution: Standardize protocols using mitochondrial fractionation followed by carbonate extraction (membrane vs. soluble proteins) .

What computational tools predict AtMg01230 epitope stability under varying pH in vivo?

  • Pipeline:

    • Map epitope using HDX-MS (hydrogen-deuterium exchange) .

    • Simulate conformational dynamics with MD simulations (GROMACS/AMBER) at pH 5.5–7.5 .

    • Validate predictions via circular dichroism of antibody-antigen complexes .

How to design a multiplex assay integrating AtMg01230 detection with mitochondrial metabolomics?

  • Workflow:

    • Fix samples with 4% PFA/0.1% glutaraldehyde for antibody compatibility .

    • Perform sequential staining:

      • Step 1: AtMg01230 immunofluorescence

      • Step 2: Fixation quenching (100 mM glycine)

      • Step 3: LC-MS/MS metabolomics on same samples .

    • Use spatial transcriptomics to correlate protein levels with localized metabolite gradients .

Technical Challenges

Why does AtMg01230 antibody show batch-dependent variability in electron microscopy?

  • Root cause analysis:

    • Antibody lot: Check glycan heterogeneity via MALDI-TOF (critical for gold-conjugate penetration) .

    • Embedding resin: Compare LR White vs. Lowicryl HM20 for epitope accessibility .

    • Quantitative solution: Switch to nanobody-based probes (enhanced penetration; see llama/alpaca systems in ).

How to improve AtMg01230 ChIP-seq efficiency in chromatin-dense mitochondria?

  • Optimization:

    • Fragment DNA to 150–300 bp using focused ultrasonication (Covaris) in high-salt buffer .

    • Use dual crosslinking (DSG + formaldehyde) .

    • Validate with qPCR for mitochondrial DNA regions (e.g., atp9) vs. nuclear controls .

Data Interpretation

How to distinguish true AtMg01230 phosphorylation signals from artefactual PTM detection?

  • Validation matrix:

    AssayPhospho-specific AbLambda phosphataseKinase inhibitor
    Western+ signalSignal lossSignal reduction
    MS/MSN/A≥2-fold spectral count dropPathway enrichment (e.g., CAMK)
    • Advanced: Combine Phos-tag gels with metabolic labeling (32P-ATP) .

What statistical models correct for antibody drift in longitudinal AtMg01230 studies?

Emerging Techniques

Can single-chain AtMg01230 nanobodies improve resolution in live-cell imaging?

  • Design:

    • Immunize llamas with recombinant AtMg01230 (protocol in ).

    • Screen phage library for clones with <5 nM KD (SPR/BLI) .

    • Fuse to HaloTag for click chemistry-based labeling (e.g., JF646) .

    • Advantage: 4.3× faster mitochondrial turnover kinetics vs. IgG (per kinetics data).

How to engineer bispecific antibodies targeting AtMg01230 and its interaction partner?

  • Strategy:

    • Clone AtMg01230 nanobody (VHH) and partner protein scFv into pETDuet vector .

    • Link via (G4S)3 flexible spacer .

    • Test synergy using MicroScale Thermophoresis (MST) for KD improvements .

Key Validation Criteria (Synthesized from )

  • Specificity: ≥10-fold signal reduction in KO models

  • Reproducibility: CV <15% across 3 independent experiments

  • Context: Documented performance in 2+ assay types (e.g., WB + IF)

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