UniGene: Stu.20733
Patatin-04/09 belongs to the patatin-like phospholipase domain-containing protein (PNPLA) family, which includes several members with phospholipase activity. Originally identified in potato tubers as storage proteins, patatin-like domains are now recognized across multiple species. In humans, proteins like PNPLA6 (also known as Neuropathy Target Esterase or NTE) contain patatin-like domains and function in lipid metabolism.
An antibody against Patatin-04/09 typically recognizes specific epitopes within the patatin domain, which is characterized by a catalytic dyad (Ser-Asp) responsible for hydrolytic activities. These antibodies are critical for research investigating phospholipid metabolism, membrane dynamics, and related pathologies .
Plant Patatin Proteins:
Function primarily as storage proteins in tubers
Organized in multicopy gene families (e.g., potato patatin genes are clustered in the genome)
Show differential expression during developmental stages, particularly during tuber formation
Mammalian Patatin-Like Proteins (PNPLAs):
Function as regulatory enzymes in lipid metabolism
Include nine family members (PNPLA1-9) with diverse functions
PNPLA3 and PNPLA6 are among the best characterized
Associated with various pathological conditions (e.g., PNPLA3 variants with fatty liver disease)
Both share the conserved patatin domain with a catalytic dyad, but have evolved different physiological roles suited to their respective organisms.
| Application | Purpose | Typical Working Dilution |
|---|---|---|
| Western Blot (WB) | Detection of denatured protein | 1:500-1:2000 |
| Immunohistochemistry (IHC) | Localization in tissue sections | 1:100-1:300 |
| Immunofluorescence | Subcellular localization | 1:100-1:500 |
| Immunoprecipitation | Protein-protein interaction studies | 2-5 μg per 1 mg of lysate |
Key applications include:
Investigating lipid metabolism pathways
Studying membrane biogenesis and remodeling
Researching pathological conditions like non-alcoholic fatty liver disease (NAFLD)
Examining neurodegenerative conditions linked to patatin-domain containing proteins
A comprehensive validation approach should include:
Positive and negative controls:
Use tissues/cells known to express high levels (e.g., liver for PNPLA3, nervous tissue for PNPLA6)
Include knockout/knockdown samples as negative controls
Multiple detection methods:
Peptide competition assay:
Pre-incubate antibody with immunizing peptide to confirm signal elimination
Use structurally similar but non-target peptides as controls
Orthogonal validation:
Cross-reactivity assessment:
Test antibody against related PNPLA family members
Verify species specificity if working with cross-species samples
When investigating NAFLD using Patatin-04/09 antibodies, researchers should consider:
Sample preparation:
Fresh liver samples must be processed quickly to preserve phosphorylation states
Consider using phosphatase inhibitors during extraction to maintain post-translational modifications that may affect antibody recognition
Genetic background analysis:
Experimental controls:
Include both normal and steatotic liver samples
Use appropriate animal models (e.g., high-fat diet, genetic models)
Co-localization studies:
Functional correlation:
Correlate protein levels with enzymatic activity measurements
Consider assessing lipid profiles alongside protein expression
Technical considerations:
Lipid-rich tissues may require modified fixation and embedding protocols
Optimize antigen retrieval methods for fatty tissues
For effective investigation of membrane dynamics:
Subcellular fractionation approach:
Separate membrane fractions (plasma membrane, ER, Golgi, etc.)
Confirm fraction purity with organelle-specific markers
Analyze patatin protein distribution across fractions
Live-cell imaging techniques:
Combine antibodies with fluorescent phospholipid analogs
For dynamic studies, consider using cell-permeable antibody fragments or fluorescent protein fusions
Lipid-protein interaction studies:
Use co-immunoprecipitation with patatin-04/09 antibodies to identify interacting lipids
Consider lipidomic analysis of immunoprecipitated complexes
Analyzing phospholipid substrates:
Trafficking studies:
When developing scFv antibodies against Patatin-04/09:
Antigen design considerations:
Library construction approaches:
Selection strategy optimization:
Expression and purification considerations:
Stability enhancement approaches:
When encountering issues with Patatin-04/09 antibodies:
For non-specific binding:
Increase blocking stringency (try 5% BSA or 5% milk in PBS-T)
Optimize antibody concentration (perform titration experiments)
Include competing peptides to block specific binding sites
Increase washing duration and frequency
Consider alternative detergents in wash buffers
For weak signals:
Optimize antigen retrieval methods (test heat-mediated vs. enzymatic methods)
Increase antibody concentration or incubation time
Use signal amplification systems (HRP-polymer or biotin-streptavidin)
Ensure samples contain adequate target protein (verify with positive controls)
Check sample preparation (inadequate fixation or over-fixation can mask epitopes)
For both issues:
Test multiple antibody lots or sources
Verify antibody storage conditions (avoid repeated freeze-thaw cycles)
Consider species cross-reactivity if working with non-human samples
Test alternative detection methods (fluorescent vs. chromogenic)
To investigate PNPLA proteins in disease-related lipid remodeling:
Combined antibody-lipidomic approaches:
Gene editing strategies:
Generate knockout/knockin models targeting specific patatin domains
Use CRISPR/Cas9 to introduce disease-associated mutations
Apply antibodies to verify protein expression changes
Substrate specificity analysis:
Combine immunoprecipitation with enzyme activity assays
Test activity against multiple lipid substrates
Correlate substrate preferences with disease progression
Regulatory pathway mapping:
Therapeutic intervention assessment:
For integrating antibody and genetic approaches:
Variant-specific detection strategies:
Develop antibodies that specifically recognize disease-associated variants
Use epitope mapping to ensure antibodies can distinguish protein variants
Consider developing antibodies against common disease-associated variants (e.g., PNPLA3 I148M)
Expression quantitative trait loci (eQTL) integration:
Correlate genotype data with antibody-based protein quantification
Investigate how genetic variants affect protein expression levels
Use tissue microarrays for higher throughput analysis
Functional correlation approaches:
Assess enzymatic activity in samples grouped by genotype
Correlate protein localization patterns with specific genetic variants
Study protein-protein interactions influenced by genetic variants
Clinical application considerations:
Longitudinal analysis methods:
Use antibodies to track protein changes over disease course
Correlate with genetic risk profiles for disease progression
Monitor treatment response in relation to genetic background
Sample preparation requirements vary by tissue type:
Liver tissue:
Flash freeze in liquid nitrogen immediately after collection
Section at 5-8 μm thickness for IHC
For WB, homogenize in RIPA buffer with protease and phosphatase inhibitors
Add lipase inhibitors to prevent degradation of lipid-protein complexes
Brain tissue:
Perfusion fixation with 4% paraformaldehyde for IHC
Post-fix for no more than 24 hours to prevent epitope masking
For frozen sections, use OCT embedding and cut at 10-15 μm
For WB, use specialized neuronal extraction buffers with mild detergents
Cell culture:
For adherent cells, consider in-situ fixation to preserve spatial organization
For suspension cells, gentle fixation in solution followed by cytospin
For biochemical analysis, use detergent-free lysis methods initially
General considerations:
Always include phosphatase inhibitors as patatin phosphorylation status affects function
Consider using sucrose gradient fractionation to study membrane associations
For lipid-rich samples, optimize detergent concentration to maintain protein-lipid interactions
For multiplexed imaging with Patatin-04/09 antibodies:
Antibody panel design:
Select antibodies raised in different host species to avoid cross-reactivity
Consider using directly conjugated primary antibodies to eliminate secondary antibody cross-reactivity
Validate each antibody independently before combining
Sequential staining approaches:
Implement tyramide signal amplification (TSA) with antibody stripping between rounds
Use heat-mediated antibody removal (95°C in citrate buffer) for complete stripping
Validate complete removal of previous antibodies before applying subsequent ones
Spectral unmixing strategies:
Use spectrally distinct fluorophores (minimum 30nm separation between emission peaks)
Include single-stained controls for spectral unmixing algorithms
Consider confocal or spectral imaging systems for better separation
Co-localization analysis:
Quantitative considerations:
Include calibration standards for each fluorophore
Use automated image analysis algorithms to reduce bias
Implement machine learning approaches for pattern recognition in complex samples
Optimizing immunoprecipitation of patatin domain proteins requires:
Lysis buffer optimization:
Test multiple detergent types and concentrations (CHAPS often preserves lipid-protein interactions better than stronger detergents)
Include appropriate protease and phosphatase inhibitor cocktails
Consider adding glycerol (5-10%) to stabilize enzymatic activity
Antibody coupling strategies:
Direct coupling to beads (using crosslinkers) can reduce background from antibody heavy chains
For transient interactions, consider chemical crosslinking prior to lysis
Test both monoclonal and polyclonal antibodies as they may capture different protein populations
Co-factor considerations:
Include calcium in buffers as many patatin domains are calcium-dependent
Test the effect of ATP addition on complex formation
Consider lipid addition to stabilize certain protein conformations
Washing stringency balance:
Implement a gradient washing approach (decreasing detergent concentrations)
For interactome studies, use milder conditions to preserve weak interactions
For specificity, increase washing stringency but validate target retention
Elution strategies:
To distinguish between PNPLA family members:
Epitope selection strategy:
Target non-conserved regions outside the catalytic domain
Focus on unique C-terminal or N-terminal regions
Use sequence alignment analysis to identify family member-specific regions
Validation approaches:
Test antibodies against recombinant proteins of multiple family members
Use cells with known expression patterns of different family members
Employ knockout/knockdown models as negative controls
Isoform-specific detection methods:
Develop isoform-specific antibodies targeting splice variant regions
Use 2D gel electrophoresis to separate isoforms before antibody detection
Combine with RT-PCR to correlate protein with transcript variants
Advanced techniques:
Implement proximity ligation assays to detect specific interactions
Use super-resolution microscopy to discern subtle differences in localization
Consider mass spectrometry-based targeted proteomics as a complementary approach
Post-translational modification analysis:
For developing immunoassays targeting patatin proteins in fluids:
Sample preprocessing requirements:
Determine optimal anticoagulants for blood collection (EDTA vs. heparin)
Establish standardized centrifugation protocols to remove interfering components
Consider pre-clearing steps to reduce non-specific binding
Assay format selection:
Sandwich ELISA offers better specificity than direct coating methods
Consider magnetic bead-based assays for improved sensitivity
Develop multiplex assays to detect multiple family members simultaneously
Sensitivity enhancement approaches:
Implement signal amplification (e.g., poly-HRP systems)
Consider chemiluminescent or electrochemiluminescent detection
Use sample concentration methods for low-abundance targets
Calibration and quantification:
Develop recombinant protein standards that match native forms
Include spike-recovery experiments to assess matrix effects
Establish appropriate dilution protocols for different sample types
Validation requirements:
Test assay performance across diverse patient populations
Assess influence of common pathological conditions
Determine reference ranges in healthy populations
Technical considerations: