OLE18 Antibody

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Product Specs

Buffer
**Preservative:** 0.03% Proclin 300
**Constituents:** 50% Glycerol, 0.01M PBS, pH 7.4
Form
Liquid
Lead Time
Made-to-order (14-16 weeks)
Synonyms
OLE18; OLE3; Oleosin Zm-II; Lipid body-associated protein L2; Oleosin 18 kDa
Target Names
OLE18
Uniprot No.

Target Background

Function
OLE18 Antibody may play a structural role in stabilizing lipid bodies during seed desiccation by preventing oil coalescence. It likely interacts with both lipid and phospholipid components of lipid bodies. Additionally, OLE18 Antibody may provide recognition signals for specific lipase anchorage during lipolysis in seedling growth.
Database Links

STRING: 4577.AC206941.2_FGP002

UniGene: Zm.19667

Protein Families
Oleosin family
Subcellular Location
Lipid droplet. Membrane; Multi-pass membrane protein. Note=Surface of oil bodies. Oleosins exist at a monolayer lipid/water interface.
Tissue Specificity
Found in embryonic axis, scutellum, and aleurone layer.

Q&A

What is OLE18 protein and why are antibodies against it important in research?

OLE18 is an 18 kDa oleosin protein found in rice (Oryza sativa) that plays a crucial role in the stabilization of oil bodies (OBs) or lipid droplets (LDs) in plant seeds. Antibodies against OLE18 are important research tools for the detection, localization, and quantification of this protein in various experimental settings. OLE18 antibodies have proven particularly valuable in studies involving lipid droplet formation, seed development, and plant biotechnology applications. Their high specificity enables researchers to track OLE18 protein expression patterns and understand its biological functions in different physiological contexts .

What are the recommended dilutions for using OLE18 antibody in different experimental applications?

The optimal dilution of anti-OLE18 antibody varies depending on the specific application:

ApplicationRecommended DilutionIncubation ConditionsNotes
Western Blot/Immunoblot1:2000Overnight at 4°C or 2 hours at room temperatureAs reported by Montesinos et al., 2016
Immunohistochemistry1:500-1:10002-3 hours at room temperatureRequires optimization for specific tissue types
ELISA1:50001-2 hours at room temperatureFor quantitative detection
Immunofluorescence1:200-1:500Overnight at 4°CMay require tissue-specific optimization

These dilutions should be considered starting points and may require further optimization based on your specific experimental conditions, antibody batch, and sample characteristics .

How can I verify the specificity of an OLE18 antibody for my experiment?

Verifying antibody specificity is critical for obtaining reliable experimental results. For OLE18 antibody, consider these validation approaches:

  • Positive control testing: Use protein extracts from rice seeds known to express OLE18 protein. Wild-type rice seeds provide an excellent positive control as they naturally express OLE18.

  • Western blot analysis: Run samples containing OLE18 alongside negative controls. A specific OLE18 antibody should detect a single band at approximately 18 kDa in positive samples only.

  • Peptide competition assay: Pre-incubate the antibody with purified OLE18 protein or the immunizing peptide before applying to samples. This should abolish or significantly reduce signal if the antibody is specific.

  • Genetic validation: Compare signal intensity between wild-type samples and those from OLE18 knockout/knockdown lines if available.

  • Cross-reactivity assessment: Test the antibody against other oleosins (such as OLE16 or OLE17) to ensure it does not recognize related proteins .

What sample preparation methods are most effective when working with OLE18 antibody?

Effective sample preparation is crucial for successful detection of OLE18 protein:

  • For lipid droplet/oil body isolation:

    • Homogenize rice seeds (or relevant tissue) in buffer containing 0.2 M sucrose and 10 mM phosphate buffer (pH 7.6)

    • Remove cell debris by centrifugation at low speed (1,000 × g)

    • Collect lipid droplets from the top layer after centrifugation at higher speed (10,000 × g)

    • Wash lipid droplets multiple times to remove contaminants

    • Add protease inhibitor cocktail to prevent protein degradation

  • For total protein extraction:

    • Use denaturing buffers containing SDS for complete solubilization

    • Include reducing agents (β-mercaptoethanol or DTT) to break disulfide bonds

    • Heat samples at 95°C for 5 minutes to ensure complete denaturation

    • Centrifuge to remove insoluble material before loading on gels

  • Storage considerations:

    • Store isolated OBs at -80°C in buffer containing protease inhibitors

    • Avoid repeated freeze-thaw cycles that can degrade the protein

How can OLE18 antibody be utilized to study fusion protein expression in transgenic rice systems?

OLE18 antibody serves as a powerful tool for monitoring recombinant protein expression when OLE18 is used as a fusion partner. This approach involves:

  • Quantitative assessment of fusion protein accumulation:

    • Compare signal intensities of OLE18-fusion proteins (e.g., OLE18-PAF102) to known amounts of synthetic peptides or purified standards using immunoblot analysis

    • Calculate expression levels using densitometry with software such as Image Lab™

    • Estimate fusion protein stability by comparing samples stored for different time periods

  • Subcellular localization studies:

    • Use OLE18 antibody to confirm targeting of fusion proteins to oil bodies

    • Perform co-localization studies with lipid-specific dyes to verify proper compartmentalization

    • Compare wild-type OLE18 expression pattern with that of the fusion protein

  • Purification strategy development:

    • Track OLE18-fusion proteins during purification steps using the antibody

    • Monitor the efficiency of protease digestion when releasing the fusion partner (e.g., PAF102) from OLE18 using TEV protease

    • Estimate purification yields at each step by quantitative immunoblotting

  • Functional analysis of fusion proteins:

    • Compare immunoreactivity before and after treatments to assess structural integrity

    • Monitor potential proteolytic degradation of fusion proteins during storage

    • Correlate antibody-detected protein levels with functional activity of the fusion partner

What methodological approaches are available for studying OLE18 protein degradation and stability?

Investigating OLE18 stability is crucial for understanding its biological functions and optimizing experimental conditions:

  • Time-course degradation analysis:

    • Isolate OBs containing OLE18 or OLE18-fusion proteins

    • Divide samples into aliquots with and without protease inhibitors

    • Incubate at different temperatures (4°C, room temperature, 37°C) for various time periods

    • Analyze by immunoblotting with anti-OLE18 antibodies to track degradation patterns

    • Plot degradation kinetics to determine protein half-life

  • Protease sensitivity assays:

    • Expose purified OLE18-containing samples to controlled amounts of different proteases

    • Include test samples with total protein extracts from different sources (e.g., P. pastoris)

    • Analyze digestion products using anti-OLE18 antibodies

    • Identify protease-resistant domains that may be important for structure or function

  • Storage condition optimization:

    • Test different buffer compositions, pH values, and additives

    • Monitor OLE18 integrity over time using quantitative immunoblotting

    • Identify optimal conditions that maximize OLE18 stability

  • Post-translational modification analysis:

    • Compare apparent molecular weight with theoretical predictions

    • Use phosphatase or glycosidase treatments followed by immunoblotting to detect potential modifications

    • Employ mass spectrometry in conjunction with immunoprecipitation using OLE18 antibodies to identify modification sites

How can OLE18 antibody be applied in co-immunoprecipitation experiments to identify interacting partners?

Co-immunoprecipitation (Co-IP) using OLE18 antibodies enables the identification of protein-protein interactions:

  • Sample preparation for Co-IP:

    • Prepare mild extraction buffers that preserve protein-protein interactions (e.g., 50 mM Tris-HCl pH 7.5, 150 mM NaCl, 1% NP-40 or Triton X-100)

    • Include protease and phosphatase inhibitors to maintain protein integrity

    • Optimize cross-linking conditions if needed to stabilize transient interactions

  • Immunoprecipitation protocol:

    • Pre-clear lysates with appropriate control beads to reduce non-specific binding

    • Incubate cleared lysates with OLE18 antibody pre-bound to protein A/G beads

    • Wash extensively to remove non-specific interactions while preserving specific binding

    • Elute bound proteins and analyze by immunoblotting with antibodies against suspected interacting partners

    • For unbiased discovery, analyze eluted proteins by mass spectrometry

  • Controls and validation:

    • Include isotype-matched control antibodies to identify non-specific binding

    • Perform reciprocal Co-IP with antibodies against identified interacting partners

    • Validate interactions using orthogonal methods (e.g., proximity ligation assay)

  • Data analysis considerations:

    • Prioritize proteins enriched in the OLE18 antibody pull-down compared to controls

    • Consider biological relevance of potential interactors in relation to OLE18 function

    • Validate key interactions through functional studies

What approaches can be used to improve the sensitivity of OLE18 antibody for detecting low abundance targets?

Enhancing detection sensitivity is often necessary for studying OLE18 in tissues with low expression levels:

  • Signal amplification strategies:

    • Employ biotin-streptavidin systems for multi-layer amplification

    • Use tyramide signal amplification (TSA) to enhance chromogenic or fluorescent signals

    • Consider polymer-based detection systems that provide higher sensitivity than traditional secondary antibodies

  • Sample enrichment methods:

    • Concentrate lipid droplet fractions before analysis

    • Use immunoprecipitation with OLE18 antibody followed by immunoblotting with the same antibody

    • Apply subcellular fractionation to enrich for oil body components

  • Detection system optimization:

    • Use highly sensitive chemiluminescent substrates for Western blotting

    • Optimize exposure times and imaging parameters

    • Consider digital imaging systems with advanced signal integration capabilities

  • Multiple epitope targeting:

    • Combine multiple OLE18 antibodies recognizing different epitopes

    • Develop sandwich ELISA approaches using different OLE18 antibodies for capture and detection

  • Antibody engineering considerations:

    • Evaluate monoclonal versus polyclonal antibodies for specific applications

    • Consider recombinant antibody fragments with optimized binding properties

What is the recommended protocol for isolating oil bodies and detecting OLE18 using antibodies?

For effective isolation of oil bodies and subsequent OLE18 detection, follow this methodological approach:

  • Oil body isolation:

    • Homogenize 10 mature rice seeds in 1 ml of extraction buffer (0.2 M sucrose, 10 mM phosphate buffer pH 7.6)

    • Filter homogenate through miracloth to remove debris

    • Centrifuge at 10,000 × g for 20 minutes at 4°C

    • Collect the floating pad containing oil bodies

    • Resuspend oil bodies in fresh buffer and repeat centrifugation 2-3 times to purify

  • OLE18 detection by immunoblotting:

    • Solubilize oil body proteins in SDS loading buffer containing reducing agent

    • Separate proteins by SDS-PAGE (15% acrylamide)

    • Transfer to nitrocellulose membranes (0.2 μm pore size recommended)

    • Block with 5% non-fat dry milk in TBST for 1 hour at room temperature

    • Incubate with anti-OLE18 antibody (1:2000 dilution) overnight at 4°C

    • Wash 3×10 minutes with TBST

    • Incubate with appropriate HRP-conjugated secondary antibody for 1 hour

    • Wash 3×10 minutes with TBST

    • Detect using chemiluminescent substrate and imaging system

  • Quantification approach:

    • Include known amounts of purified OLE18 protein as standards

    • Use image analysis software to quantify band intensities

    • Generate standard curve and calculate unknown sample concentrations

How should I design experiments to investigate OLE18 protein expression across different rice tissues and developmental stages?

Comprehensive analysis of OLE18 expression patterns requires careful experimental design:

  • Tissue collection strategy:

    • Harvest multiple rice tissues: developing seeds (5, 10, 15, 20 days after flowering), mature seeds, embryo, endosperm, aleurone, roots, stems, leaves, panicles, and pollen

    • Flash-freeze samples in liquid nitrogen immediately after collection

    • Store at -80°C until processing

  • Protein extraction considerations:

    • Use tissue-specific extraction protocols (different tissues may require different buffer compositions)

    • Normalize loading by total protein content (determined by Bradford or BCA assay)

    • Consider including phosphatase inhibitors to preserve modification states

  • Comparative analysis methods:

    • Use consistent antibody concentrations and incubation conditions across all samples

    • Include internal loading controls (e.g., housekeeping proteins)

    • Process all developmental time points in parallel to minimize technical variation

  • Validation approaches:

    • Complement protein analysis with mRNA quantification (RT-qPCR)

    • Consider immunohistochemistry to visualize tissue-specific localization

    • Verify key findings using alternative antibodies if available

  • Data presentation:

    • Present relative expression levels in graphical format across tissues and developmental stages

    • Normalize against consistently expressed reference proteins

    • Apply appropriate statistical analysis to determine significant differences

What approaches should be used when comparing OLE18 antibody data with transcriptomic findings on OLE18 gene expression?

Integrating protein and transcriptomic data requires careful consideration of methodological differences:

  • Experimental design integration:

    • Collect matching samples for both protein and RNA analysis when possible

    • Use consistent developmental staging and tissue sampling methodologies

    • Consider time-course experiments to capture dynamic expression changes

  • Data normalization strategies:

    • Normalize transcriptomic data using established reference genes for rice

    • Normalize protein data to total protein content or housekeeping proteins

    • Account for potential technical biases in both approaches

  • Correlation analysis:

    • Calculate correlation coefficients between mRNA and protein levels across samples

    • Generate scatter plots to visualize relationships

    • Consider time-lagged correlations to account for delays between transcription and translation

  • Discrepancy resolution:

    • Investigate post-transcriptional regulation when protein and mRNA levels diverge

    • Consider protein stability differences that may affect steady-state levels

    • Evaluate translational efficiency factors that might influence protein production

  • Interpretation framework:

    • Recognize that transcriptome data from rice oligonucleotide probe arrays can cover approximately 40-50% of the genome

    • Consider the specificity of both methods (antibody cross-reactivity vs. probe specificity)

    • Interpret findings in the context of known regulatory mechanisms for seed storage proteins

What methodological considerations are important when using OLE18 antibody to validate transgenic lines expressing OLE18 fusion proteins?

Validation of transgenic lines requires rigorous methodological approaches:

  • Experimental design for transgenic validation:

    • Include appropriate controls: wild-type plants, empty vector transformants, and positive controls

    • Analyze multiple independent transgenic lines (minimum 3-5) to account for position effects

    • Examine multiple generations to assess stability of expression

  • Protein expression analysis workflow:

    • Extract proteins from comparable tissues at identical developmental stages

    • Perform both qualitative (presence/absence) and quantitative (expression level) assessments

    • Use dilution series to determine relative expression levels across lines

  • Specificity verification:

    • Design immunoblot experiments to distinguish between endogenous OLE18 and OLE18-fusion proteins

    • Use antibodies against both OLE18 and the fusion partner (e.g., anti-CecA or anti-PAF102)

    • Confirm molecular weights match theoretical predictions for fusion proteins

  • Functional validation:

    • Verify subcellular localization of fusion proteins using fractionation and immunoblotting

    • Assess stability of fusion proteins during seed storage

    • Confirm biological activity of the fusion partner (e.g., antimicrobial activity of PAF102)

  • Quantitative assessment:

    • Determine expression levels relative to established standards

    • Calculate yields in terms of percentage of total seed protein or absolute amounts

    • Compare expression across different tissues if using tissue-specific promoters

How should I troubleshoot weak or absent OLE18 antibody signals in immunoblot experiments?

When facing detection challenges with OLE18 antibody, follow this systematic troubleshooting approach:

  • Sample preparation issues:

    • Ensure complete protein extraction with appropriate buffers (add SDS or other detergents for thorough solubilization)

    • Check for protein degradation by including protease inhibitors

    • Verify protein concentration using reliable quantification methods

    • Assess sample integrity by Coomassie staining of duplicate gels

  • Transfer efficiency problems:

    • Optimize transfer conditions (time, voltage, buffer composition)

    • Verify transfer by staining membrane with Ponceau S

    • Use appropriate membrane type (nitrocellulose with 0.2 μm pore size recommended)

    • Consider using wet transfer for improved efficiency with hydrophobic proteins

  • Antibody-related factors:

    • Test different antibody concentrations (perform titration experiments)

    • Extend primary antibody incubation time (overnight at 4°C)

    • Verify antibody activity using positive control samples

    • Reduce background by optimizing blocking conditions and wash steps

  • Detection system limitations:

    • Use more sensitive detection reagents (enhanced chemiluminescence substrates)

    • Increase exposure time when imaging

    • Consider signal amplification methods (e.g., biotin-streptavidin systems)

    • Evaluate secondary antibody quality and concentration

How can I distinguish between true OLE18 signals and non-specific binding in my experiments?

Differentiating specific from non-specific signals requires careful experimental design:

  • Essential controls:

    • Negative tissue control: Use tissues known not to express OLE18 (e.g., rice leaf tissue)

    • Antibody controls: Include no-primary antibody and isotype controls

    • Blocking peptide control: Pre-incubate antibody with excess immunizing peptide to block specific binding

    • Genetic controls: If available, use OLE18 knockdown/knockout materials

  • Signal validation approaches:

    • Verify the molecular weight matches the predicted size for OLE18 (18 kDa)

    • Confirm signal location in subcellular fractionation experiments (should be enriched in oil body fractions)

    • Use multiple antibodies targeting different OLE18 epitopes

    • Compare signal patterns with published literature

  • Background reduction strategies:

    • Optimize blocking conditions (test different blocking agents and concentrations)

    • Increase washing stringency (more washes, higher salt concentration)

    • Try different secondary antibodies to minimize cross-reactivity

    • Use more specific detection methods (monoclonal vs. polyclonal antibodies)

What statistical approaches are most appropriate for analyzing quantitative OLE18 antibody data across experimental conditions?

Proper statistical analysis ensures robust interpretation of OLE18 antibody data:

  • Experimental design considerations:

    • Include sufficient biological replicates (minimum n=3, preferably n≥5)

    • Use technical replicates to assess method reproducibility

    • Include appropriate controls in each experimental batch

  • Quantification methodology:

    • Use densitometry software with background subtraction capabilities

    • Normalize OLE18 signals to loading controls or total protein

    • Create standard curves using purified OLE18 protein for absolute quantification

  • Statistical test selection:

    • For comparing two conditions: Student's t-test (parametric) or Mann-Whitney U test (non-parametric)

    • For multiple conditions: ANOVA with appropriate post-hoc tests (Tukey, Bonferroni, etc.)

    • For correlation analysis: Pearson (linear) or Spearman (non-parametric) correlation coefficients

  • Data presentation standards:

    • Report means with standard deviation or standard error

    • Include p-values and significance thresholds

    • Use appropriate graphical representations (bar graphs, box plots, etc.)

  • Advanced statistical considerations:

    • Assess data normality before selecting parametric vs. non-parametric tests

    • Consider transformations for non-normal data

    • Account for multiple comparisons in significance testing

How should I interpret conflicting results between immunoblotting and immunohistochemistry when using OLE18 antibodies?

Discrepancies between techniques require careful methodological assessment:

  • Technical differences evaluation:

    • Immunoblotting detects denatured proteins while immunohistochemistry detects proteins in their native context

    • Epitope accessibility may differ between techniques (some epitopes may be masked in tissue sections)

    • Fixation methods in immunohistochemistry may alter antibody recognition sites

    • Consider detection sensitivity differences between methods

  • Systematic validation approach:

    • Verify antibody specificity independently for each technique

    • Use multiple antibodies targeting different epitopes

    • Include appropriate positive and negative controls specific to each method

    • Consider complementary techniques (e.g., immunofluorescence, in situ hybridization)

  • Resolution strategies:

    • Adjust protein extraction methods for immunoblotting to better match the native state

    • Optimize antigen retrieval for immunohistochemistry

    • Test different fixation protocols that might preserve epitope structure

    • Consider using reporter gene fusions to validate expression patterns

  • Interpretation framework:

    • Recognize that different techniques may reveal different aspects of protein biology

    • Consider post-translational modifications that might affect antibody recognition

    • Evaluate the biological context when interpreting conflicting results

    • Acknowledge limitations of each technique in research publications

How can OLE18 antibodies be utilized in studies investigating the function of OLE18 in biotechnological applications?

OLE18 antibodies serve as crucial tools in biotechnology research applications:

  • Recombinant protein production systems:

    • Monitor expression levels of OLE18-fusion proteins in transgenic rice

    • Assess stability and integrity of fusion proteins during purification

    • Quantify yields of target proteins produced using OLE18 as an expression tag

    • Validate proper assembly and targeting to oil bodies

  • Purification process development:

    • Track OLE18-fusion proteins during various purification steps

    • Monitor proteolytic release of target proteins from OLE18 fusions

    • Estimate purification efficiency by comparing starting material to final product

    • Develop immunoaffinity purification methods using immobilized OLE18 antibodies

  • Quality control applications:

    • Verify identity and integrity of OLE18-fusion proteins

    • Detect potential degradation products during storage

    • Ensure batch-to-batch consistency in production systems

    • Validate protein modifications that might affect functionality

  • Data presentation for biotechnology applications:

ApplicationKey Parameters to MeasureAnalytical MethodsOLE18 Antibody Role
Fusion protein expressionExpression level, subcellular localizationImmunoblot, ELISAPrimary detection reagent
Purification monitoringRecovery, purity, integrityImmunoblot, ELISATrack target protein
Stability assessmentDegradation rate, aggregation propensityTime-course immunoblotDetect intact protein
Process optimizationYield, activity retentionQuantitative immunoblotCompare process conditions

These applications leverage OLE18 antibodies to advance biotechnological uses of plant oil bodies as platforms for protein production and delivery .

What methodological advances are being developed to enhance OLE18 antibody applications in research?

Recent methodological innovations are expanding OLE18 antibody applications:

  • Advanced imaging techniques:

    • Super-resolution microscopy for detailed subcellular localization

    • Live cell imaging using OLE18 antibody-derived fragments

    • Correlative light and electron microscopy to relate ultrastructure to OLE18 localization

    • Multi-spectral imaging for simultaneous detection of multiple proteins

  • Single-cell applications:

    • Adaptation of OLE18 antibodies for flow cytometry or CyTOF

    • Development of in situ proximity ligation assays to detect OLE18 interactions

    • Single-cell western blotting to analyze cell-to-cell variability

    • Microfluidic approaches for high-throughput single-cell analysis

  • Recombinant antibody technologies:

    • Development of single-domain antibodies against OLE18

    • Engineering of bispecific antibodies for specialized applications

    • Generation of intrabodies for intracellular tracking of OLE18

    • Creation of synthetic antibody libraries for epitope-specific recognition

  • Quantitative proteomics integration:

    • Use of OLE18 antibodies for immunoprecipitation coupled with mass spectrometry

    • Development of selected reaction monitoring assays for absolute quantification

    • Targeted proteomics approaches for OLE18 post-translational modifications

    • Antibody-based proximity labeling for OLE18 interaction network mapping

How should researchers approach comparative studies of OLE18 across different plant species using antibodies?

Cross-species studies using OLE18 antibodies require careful methodological considerations:

  • Antibody cross-reactivity assessment:

    • Test anti-OLE18 antibody against protein extracts from multiple species

    • Align OLE18 protein sequences across species to identify conserved epitopes

    • Consider developing antibodies against highly conserved regions for cross-species studies

    • Validate specificity in each species individually before comparative studies

  • Experimental design for comparative studies:

    • Select phylogenetically diverse species to understand evolutionary conservation

    • Include closely related species to detect subtle functional differences

    • Standardize tissue sampling, developmental stages, and growth conditions

    • Use consistent protein extraction and detection methods across all species

  • Data normalization approaches:

    • Identify suitable loading controls conserved across studied species

    • Consider total protein normalization methods (e.g., Stain-Free technology)

    • Account for differences in extraction efficiency between species

    • Develop species-specific standard curves if quantitative comparisons are needed

  • Interpretation frameworks:

    • Relate observations to evolutionary relationships between species

    • Consider functional adaptations related to seed oil content and composition

    • Integrate findings with available genomic and transcriptomic data

    • Acknowledge limitations of antibody-based approaches for divergent species

What approaches should be used to investigate post-translational modifications of OLE18 using antibody-based methods?

Analyzing OLE18 post-translational modifications (PTMs) requires specialized methodological approaches:

  • PTM-specific detection strategies:

    • Phosphorylation: Use phospho-specific antibodies or Phos-tag gels followed by OLE18 immunoblotting

    • Glycosylation: Employ lectins alongside OLE18 antibodies or use glycosidase treatments

    • Ubiquitination: Perform immunoprecipitation with OLE18 antibodies followed by ubiquitin detection

    • Acetylation: Use anti-acetyl lysine antibodies in combination with OLE18 immunoprecipitation

  • PTM-enrichment approaches:

    • Phosphorylation: Use phosphopeptide enrichment (TiO₂, IMAC) prior to analysis

    • Glycoproteins: Apply lectin affinity chromatography for enrichment

    • Ubiquitinated proteins: Express His-tagged ubiquitin for pull-down of modified proteins

    • Combined approach: Immunoprecipitate with OLE18 antibodies followed by PTM-specific detection

  • Mass spectrometry integration:

    • Immunoprecipitate OLE18 using specific antibodies

    • Process samples for mass spectrometry analysis

    • Analyze PTM-specific mass shifts and diagnostic fragment ions

    • Validate key findings using PTM-specific antibodies when available

  • Functional correlation studies:

    • Compare PTM patterns across developmental stages

    • Analyze changes in PTMs in response to environmental stresses

    • Investigate relationships between PTMs and protein localization or stability

    • Develop site-specific mutants to evaluate PTM functional significance

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