ALOX12 is a lipid-metabolizing enzyme that catalyzes the oxygenation of polyunsaturated fatty acids (e.g., arachidonic acid) into bioactive lipid mediators like 12-hydroxyeicosatetraenoic acid (12-HETE). It plays roles in:
Lipid Mediator Synthesis: Converts arachidonic acid to (12S)-HPETE, a pro-inflammatory and pro-thrombotic mediator .
Pathological Roles:
Preclinical studies suggest ALOX12 inhibition may suppress tumor growth and inflammation .
AAV-mediated monoclonal antibody delivery shows promise in targeting diseases like HIV and cancer .
HIV Protection: AAV-delivered ALOX12-targeting immunoadhesins protected macaques from SIV infection .
Platelet Activation: Neutralizing ALOX12 antibodies reduced thrombus formation in murine models .
Structural Analysis: Cryo-EM studies of analogous antibodies (e.g., SARS-CoV-2 neutralizing antibodies) highlight the importance of epitope specificity for therapeutic efficacy .
Application | Dilution |
---|---|
Western Blot | 1:1000 |
Immunofluorescence | 1:100 |
IHC-Paraffin | 1:10–50 |
Here’s a structured, research-focused FAQ for the AAE12 antibody, designed for academic researchers. The content synthesizes principles from antibody validation, experimental design, and database utilization, based on published methodologies and best practices :
Method: Perform a multi-step validation workflow:
Knockout/Knockdown controls: Use CRISPR/Cas9-modified cell lines lacking the AAE12 target protein to confirm absence of signal .
Orthogonal validation: Compare results with mass spectrometry or RNAi-mediated protein suppression.
Cross-reactivity checks: Test antibody reactivity against homologous proteins (e.g., paralogs with >80% sequence similarity) using peptide arrays or recombinant proteins .
Parameter | Recommended Condition | Rationale |
---|---|---|
Fixation | 4% PFA (15 min) | Preserves epitope integrity |
Permeabilization | 0.1% Triton X-100 (10 min) | Balances membrane access & structure |
Antibody dilution | 1:200 (in 1% BSA/PBS) | Minimizes background noise |
Validation data: Ensure subcellular localization matches databases like AAgAtlas (e.g., nuclear vs. cytoplasmic) .
Analysis framework:
Application-specific validation: Confirm the antibody’s validation status for your method (e.g., IF vs. Western blot) using CiteAb’s citation filters .
Contextual factors: Compare cell/tissue types, fixation methods, and post-translational modifications.
Data triangulation: Cross-reference with transcriptomic (RNA-seq) or proteomic (mass spec) datasets to verify expected expression patterns.
Recommended workflow:
Single-cell resolution: Use imaging-based quantitation (e.g., Volocity or ImageJ macros) with background subtraction.
Normalization: Express AAE12 levels relative to housekeeping proteins (e.g., GAPDH) validated in your system.
Thresholding: Apply ROC curve analysis to distinguish positive vs. negative signals in clinical specimens .
Lot-to-lot variability: Always include a positive control from prior experiments when using new antibody batches .
Disease relevance: Cross-check AAE12’s association with autoimmune/cancer pathways in AAgAtlas before mechanistic studies .
Ethical validation: For preclinical models, ensure antibody cross-reactivity with species orthologs (e.g., murine AAE12) is confirmed .