PEX11A is essential for peroxisome membrane elongation and division, processes critical for maintaining peroxisome abundance and metabolic functions such as:
Fatty acid β-oxidation: Deficiencies in PEX11A reduce peroxisome numbers, impairing oxidation of very long-chain fatty acids (VLCFAs) and leading to lipid accumulation .
Metabolic regulation: PEX11A knockout mice exhibit dyslipidemia, obesity, and insulin resistance, particularly under high-fat diets .
Peroxisome proliferation: Overexpression of PEX11A induces peroxisome division independently of metabolic activity, confirming its direct role in organelle dynamics .
Peroxisome Division Mechanism
PEX11A drives peroxisome elongation and fission even in cells lacking functional peroxisomal β-oxidation pathways, indicating its role is structural rather than metabolic .
Therapeutic Potential
Butyrate-producing probiotics and 4-phenylbutyrate (4-PBA) upregulate PEX11A expression, enhancing peroxisome abundance and improving lipid metabolism in obese mice .
Disease Associations
| Parameter | PEX11A−/− vs. Wild-Type Mice |
|---|---|
| Body Weight Gain | Increased |
| Adipose Tissue Mass | Elevated |
| Peroxisome Abundance | Reduced by 50% |
| Serum Palmitic Acid (C16:0) | 584.0 vs. 421.98 μg/mL (HFD) |
Western Blotting: Used to confirm PEX11A expression in tissues like mouse kidney and liver .
Immunofluorescence: Visualizes peroxisome morphology changes in response to genetic or chemical perturbations .
Metabolic Studies: Links PEX11A activity to disorders like obesity and dyslipidemia .
Cross-Reactivity: Antibodies show specificity for human and mouse PEX11A but not other PEX11 family members (e.g., PEX11β/γ) .
Validation: Includes peptide blocking assays and consistency with observed molecular weight (~28 kDa) .
Current research explores PEX11A’s interaction with dynamin-like proteins for fission and its potential as a biomarker for metabolic diseases. Butyrate-mediated induction of PEX11A offers a novel therapeutic avenue for obesity and hyperlipidemia .
PEX11A (peroxisomal biogenesis factor 11 alpha) is a 28 kDa integral membrane protein that plays a crucial role in peroxisome elongation and proliferation . Peroxisomes are ubiquitous single-membrane organelles essential for cellular metabolism, particularly fatty acid oxidation. PEX11A is highly expressed in metabolically active tissues such as kidney and liver .
The significance of PEX11A in metabolic research stems from evidence that PEX11A deficiency impairs peroxisome elongation, leading to reduced functional peroxisomes and decreased fatty acid oxidation capacity . This ultimately contributes to steatosis (abnormal fat accumulation in tissues) and metabolic dysfunction. In mouse models, PEX11A deficiency results in adiposity, dyslipidemia, and impaired glucose tolerance, making it an important target for metabolic disease research .
Based on current documentation, commercial PEX11A antibodies are primarily validated for Western Blot (WB) applications . The Proteintech antibody (15481-1-AP) is additionally validated for ELISA applications . When designing experiments, researchers should consider the following application-specific parameters:
| Application | Recommended Dilution | Sample Types Successfully Tested |
|---|---|---|
| Western Blot | 1:1000-1:4000 | Human and mouse samples, particularly kidney tissue |
| ELISA | Titer: 1:312500 | Human placenta (positive control) |
While these applications represent validated uses, researchers should perform additional validation when applying these antibodies to new experimental contexts or sample types .
Proper storage is critical for antibody performance. For PEX11A antibodies, the following storage conditions are recommended:
Most commercial PEX11A antibodies are supplied in PBS buffer with stabilizing agents. For example:
Proteintech's antibody (15481-1-AP) is supplied in PBS with 0.02% sodium azide and 50% glycerol (pH 7.3)
Biorbyt's antibody (orb579770) is supplied in 1x PBS buffer with 0.09% (w/v) sodium azide and 2% sucrose
Antibody aliquoting is recommended to minimize freeze-thaw cycles, which can degrade antibody performance over time. The typical shelf life for these antibodies is approximately 12 months from the date of receipt when stored properly .
Understanding the species cross-reactivity of PEX11A antibodies is essential for experimental planning. Current commercial antibodies show the following reactivity profiles:
| Antibody Source | Confirmed Reactivity | Predicted Reactivity |
|---|---|---|
| Proteintech (15481-1-AP) | Human, Mouse | Not specified |
| Biorbyt (orb579770) | Human | Bovine, Canine, Porcine |
| Novus Biologicals | Human | Not specified |
When working with species not listed as confirmed, preliminary validation experiments are strongly recommended to verify antibody specificity and sensitivity in your experimental system .
Studies using Pex11a knockout mice (Pex11a⁻/⁻) have revealed significant metabolic phenotypes that researchers should consider when designing PEX11A-related experiments:
Adiposity and Body Composition Changes: Pex11a⁻/⁻ mice exhibit increased fat mass and decreased skeletal muscle mass, particularly when challenged with a high-fat diet (HFD) .
Dyslipidemia Profile: These mice show elevated cholesterol levels and accumulation of very long- and long-chain fatty acids (C16:0-C24:0) in serum, with particularly significant increases in palmitic acid (C16:0) and stearic acid (C18:0) .
Glucose Metabolism Impairment: Pex11a⁻/⁻ mice display higher fasting glucose levels, elevated hemoglobin A1c, impaired glucose tolerance, and reduced insulin sensitivity .
Oxygen Consumption and Metabolic Rate: These mice consume less oxygen, indicating decreased fatty acid oxidation capacity, which aligns with the observed lipid accumulation phenotype .
For researchers studying metabolic diseases, these models provide valuable insights into the role of peroxisomal function in lipid homeostasis. When designing experiments with these models, researchers should include comprehensive metabolic phenotyping including:
Body composition analysis
Glucose and insulin tolerance tests
Lipid profiling (particularly very long-chain fatty acids)
Metabolic rate measurements
Tissue-specific analyses of peroxisome abundance and function
Rigorous validation of antibody specificity is essential for reliable research outcomes. For PEX11A antibodies, researchers should implement the following validation strategies:
Positive and Negative Controls:
Positive tissue controls: Use tissues with known high PEX11A expression (kidney, liver, adipose tissue)
Negative controls: Include PEX11A knockout samples when available, or tissues with minimal expression
Competing peptide assays: Pre-incubation with the immunizing peptide should abolish specific signal
Multiple Detection Methods:
Compare protein detection using antibodies raised against different epitopes of PEX11A
Correlate protein detection with mRNA expression data
Consider orthogonal techniques such as mass spectrometry for protein identification
Molecular Weight Verification:
Knockdown/Overexpression Validation:
Perform siRNA knockdown or CRISPR/Cas9 knockout of PEX11A and verify reduced signal
Overexpress tagged PEX11A and confirm co-detection with anti-tag and anti-PEX11A antibodies
These validation approaches should be documented and reported in publications to enhance reproducibility and reliability of research findings.
Distinguishing between PEX11 family members presents a significant challenge due to their structural similarities. Researchers should consider these methodological approaches:
Antibody Selection and Validation:
Use antibodies generated against unique regions of each PEX11 protein
The middle region of PEX11A (e.g., the sequence MKRVTCDRAKKEKSASQDPLWFSVAEEETEWLQSFLLLLFRSLKQHPPLL) appears to be targeted in several commercial antibodies
Perform extensive cross-reactivity testing against all PEX11 family members
Expression Pattern Analysis:
Genetic Approaches:
Use family member-specific siRNAs or CRISPR/Cas9 targeting to validate antibody specificity
Consider using tagged versions of PEX11 proteins in overexpression studies
Western Blot Optimization:
Optimize SDS-PAGE conditions to maximize separation of PEX11 family members
Consider using 2D gel electrophoresis to separate based on both molecular weight and isoelectric point
These strategies will help ensure accurate identification and characterization of specific PEX11 family members in complex biological samples.
Western blot optimization is critical for sensitive and specific detection of PEX11A. Based on published protocols and commercial recommendations, researchers should consider:
Sample Preparation:
For tissues with high peroxisome content (liver, kidney), standard RIPA buffer with protease inhibitors is sufficient
For adipose tissue, consider specialized extraction buffers to remove lipids that may interfere with protein separation
Include reducing agents (DTT or β-mercaptoethanol) in loading buffer to ensure proper denaturation
Gel Electrophoresis Parameters:
Transfer and Blocking Conditions:
PVDF membranes are recommended for optimal protein binding
Standard transfer buffers (Tris-glycine with 20% methanol) work well for PEX11A
Block with 5% non-fat dry milk or 3-5% BSA in TBST
Antibody Incubation:
Detection Considerations:
Both chemiluminescent and fluorescent detection methods are suitable
For quantitative analysis, fluorescent detection offers superior linearity
Exposure times should be optimized based on signal strength
By systematically optimizing these parameters, researchers can achieve reliable and reproducible detection of PEX11A in diverse experimental contexts.
To investigate the relationship between PEX11A expression and peroxisome function, researchers should implement a multi-faceted experimental approach:
Peroxisome Morphology Analysis:
Immunofluorescence microscopy using PEX11A antibodies along with established peroxisomal markers (e.g., catalase, PMP70)
Electron microscopy to assess ultrastructural changes in peroxisome morphology
Live-cell imaging with fluorescently tagged peroxisomal proteins to monitor peroxisome dynamics
Functional Assays:
Genetic Manipulation Approaches:
Tissue-Specific Analyses:
This integrated approach will provide comprehensive insights into how PEX11A regulates peroxisome function in different physiological and pathological contexts.
Building on findings from Pex11a⁻/⁻ mouse models, researchers can employ several approaches to investigate PEX11A's role in metabolic disorders:
Metabolic Phenotyping:
Body composition analysis using techniques such as DEXA or MRI to quantify fat and lean mass
Comprehensive metabolic panel including glucose tolerance tests, insulin sensitivity assays, and lipid profiling
Indirect calorimetry to measure oxygen consumption, carbon dioxide production, and physical activity
Lipid Analysis Techniques:
Gas chromatography-mass spectrometry (GC-MS) to profile fatty acids, particularly very long-chain and long-chain saturated fatty acids (C16:0-C24:0)
Lipidomics to characterize comprehensive changes in lipid species and metabolism
Histological assessment of lipid accumulation in tissues using Oil Red O or other lipid stains
Molecular Mechanism Investigation:
Analyze expression of lipogenic genes and proteins (e.g., fatty acid synthase) in adipose tissue and liver
Investigate signaling pathways involved in insulin response and lipid metabolism
Examine transcriptional regulation of PEX11A in response to metabolic challenges
Therapeutic Intervention Studies:
Test whether enhancing peroxisome function can rescue metabolic phenotypes in PEX11A-deficient models
Investigate diet modifications or pharmacological interventions that might bypass PEX11A-dependent peroxisomal functions
Explore the potential of PEX11A as a therapeutic target for metabolic disorders
By implementing these approaches, researchers can develop a comprehensive understanding of how PEX11A contributes to lipid homeostasis and how its dysfunction leads to metabolic disorders.
For immunohistochemical applications with PEX11A antibodies, researchers should implement rigorous controls:
Positive and Negative Tissue Controls:
Positive controls: Include tissues with known high PEX11A expression (kidney, liver, adipose tissue)
Negative controls: Include tissues with minimal PEX11A expression or PEX11A-knockout tissues when available
Technical Controls:
Omit primary antibody while maintaining all other steps to assess non-specific binding of secondary antibody
Perform peptide competition assays by pre-incubating the antibody with immunizing peptide
Include isotype controls using non-specific IgG from the same species as the primary antibody
Sample Processing Considerations:
Co-localization Studies:
By systematically implementing these controls, researchers can confidently interpret immunohistochemical data involving PEX11A detection.
Integrating cutting-edge technologies with PEX11A antibodies can significantly enhance functional studies:
Proximity Labeling Approaches:
BioID or APEX2 fusion proteins can identify proximal interacting partners of PEX11A in living cells
These methods can reveal the dynamic PEX11A interactome under different physiological conditions
Super-Resolution Microscopy:
STED, STORM, or PALM microscopy can resolve sub-peroxisomal localization of PEX11A
These techniques enable visualization of PEX11A distribution during peroxisome elongation and division
Proteomics Integration:
Immunoprecipitation coupled with mass spectrometry can identify PEX11A-interacting proteins
Quantitative proteomics can assess changes in the peroxisomal proteome in response to PEX11A manipulation
Single-Cell Analysis:
Single-cell RNA-seq combined with protein detection can reveal heterogeneity in PEX11A expression
CyTOF or imaging mass cytometry can profile PEX11A in relation to multiple markers simultaneously
Genome-Scale Screening:
CRISPR screens can identify genes that modify PEX11A-dependent phenotypes
Chemical genomics approaches can discover compounds that modulate PEX11A function or bypass PEX11A deficiency
These integrated approaches provide multidimensional insights into PEX11A function, moving beyond traditional antibody applications toward comprehensive understanding of its role in peroxisome biology and metabolic regulation.