GLIP7 (GDSL-motif lipase 7) is a plant protein from Arabidopsis thaliana (Mouse-ear cress) with the UniProt number Q8LFJ9. It belongs to the GDSL family of lipases, characterized by the presence of a GDSL motif containing the active site serine. These enzymes play crucial roles in plant defense mechanisms, development, and stress responses by modulating lipid metabolism and signaling pathways. Research interest in GLIP7 has increased due to its potential involvement in plant immunity and response to environmental stressors.
GLIP7 Antibody is typically available as a rabbit polyclonal antibody raised against recombinant Arabidopsis thaliana GLIP7 protein. Key specifications include:
GLIP7 Antibody is specifically designed to recognize the GLIP7 protein in Arabidopsis thaliana and potentially related plant species. Unlike antibodies targeting conserved proteins (such as housekeeping genes), GLIP7 Antibody targets a specialized lipase involved in specific metabolic pathways. This makes it particularly valuable for studying lipid metabolism and signaling in plants.
The antibody's specificity allows researchers to distinguish GLIP7 from other GDSL-family lipases (such as GLIP3) that may share structural similarities but have distinct functions. This specificity is crucial when investigating the unique roles of GLIP7 in plant defense responses and development.
When using GLIP7 Antibody for Western blotting, researchers should consider the following protocol optimizations:
Sample Preparation:
Extract plant proteins using a buffer containing 50 mM Tris-HCl (pH 7.5), 150 mM NaCl, 1% Triton X-100, and protease inhibitor cocktail
Denature samples at 95°C for 5 minutes in loading buffer containing SDS and β-mercaptoethanol
Load 20-50 μg of total protein per lane
Transfer and Detection:
Transfer proteins to PVDF membranes (rather than nitrocellulose) for optimal binding
Block with 5% non-fat dry milk in TBST for 1 hour at room temperature
Incubate with GLIP7 Antibody at a dilution of 1:1000 to 1:2000 overnight at 4°C
Use HRP-conjugated anti-rabbit secondary antibody at 1:5000 dilution
Develop using enhanced chemiluminescence (ECL) detection system
Validation Controls:
Include recombinant GLIP7 protein as a positive control
Use pre-immune serum as a negative control
Consider wild-type vs. GLIP7 knockout plant samples for specificity confirmation
The expected molecular weight of GLIP7 is approximately 40-45 kDa, but post-translational modifications may affect migration patterns.
For successful immunohistochemistry (IHC) with GLIP7 Antibody:
Tissue Preparation:
Fix plant tissues in 4% paraformaldehyde for 4-6 hours
Embed in paraffin and prepare sections of 5-7 μm thickness
De-wax sections in xylene and rehydrate through an ethanol gradient
Antigen Retrieval and Staining:
Perform heat-induced epitope retrieval using 10 mM sodium citrate buffer (pH 6.0)
Block endogenous peroxidase activity with 3% H₂O₂ in methanol
Block non-specific binding with 5% BSA in PBS for 1 hour
Incubate with GLIP7 Antibody (1:100 to 1:200 dilution) overnight at 4°C
Use biotin-streptavidin HRP detection system for enhanced sensitivity
Counterstain with hematoxylin for structural context
Critical Considerations:
Include negative controls (pre-immune serum and secondary antibody only)
Use tissue from GLIP7 knockout plants as specificity control
Carefully validate staining patterns in different plant tissues and developmental stages
This methodology allows for precise localization of GLIP7 protein within plant tissues, providing insights into its spatial expression patterns.
To investigate GLIP7 protein interactions, consider these methodologies:
Co-Immunoprecipitation (Co-IP):
Lyse plant tissues in buffer containing 50 mM Tris-HCl (pH 7.5), 150 mM NaCl, 0.5% NP-40, and protease inhibitors
Pre-clear lysate with Protein A/G beads
Immunoprecipitate with GLIP7 Antibody (5-10 μg per 1 mg protein lysate)
Analyze precipitated complexes by SDS-PAGE followed by Western blotting for suspected interaction partners
Yeast Two-Hybrid (Y2H) Screening:
Clone GLIP7 coding sequence into bait vector
Screen against Arabidopsis cDNA library
Validate positive interactions with directed Y2H assays
Confirm interactions in planta using BiFC or FRET
Bimolecular Fluorescence Complementation (BiFC):
Fuse GLIP7 and candidate interactors to complementary fragments of fluorescent proteins
Express constructs in Arabidopsis protoplasts or Nicotiana benthamiana leaves
Visualize reconstituted fluorescence using confocal microscopy to confirm interactions
Mass Spectrometry Approach:
Perform immunoprecipitation with GLIP7 Antibody
Analyze co-precipitated proteins by LC-MS/MS
Filter against common contaminants
Validate top candidates with directed assays
These complementary approaches provide robust evidence for GLIP7 interactome characterization and functional relationships.
False Positives:
Cross-reactivity with other GDSL-family lipases due to conserved domains
Non-specific binding to hydrophobic proteins
Improper blocking or washing procedures
Excessive antibody concentration
Sample contamination with bacterial proteins
False Negatives:
Insufficient protein extraction from plant tissues
Protein degradation during sample preparation
Epitope masking due to protein folding or post-translational modifications
Low GLIP7 expression levels in specific tissues/conditions
Incompatible fixation methods destroying epitopes
Sub-optimal antibody concentration
Resolution Strategies:
Always validate with recombinant GLIP7 positive control
Perform peptide competition assays to confirm specificity
Include both wild-type and GLIP7 knockout samples
Optimize extraction protocols for membrane-associated proteins
Test multiple antibody concentrations and incubation conditions
Careful attention to these factors will improve experimental reliability and reduce misinterpretation of results.
For rigorous quantitative analysis of GLIP7 expression:
Western Blot Quantification:
Include loading controls (actin, tubulin, or GAPDH)
Use dilution series of recombinant GLIP7 to establish standard curve
Ensure signal detection is in linear range
Analyze band intensities using software like ImageJ
Normalize GLIP7 signal to loading control
Perform statistical analysis across biological replicates (minimum n=3)
ELISA Approach:
Develop sandwich ELISA using GLIP7 Antibody as capture antibody
Use biotinylated GLIP7 Antibody or another epitope-specific antibody for detection
Generate standard curve with recombinant GLIP7 protein
Ensure all samples are analyzed within the linear range of detection
qPCR Correlation:
Correlate protein levels (Western blot/ELISA) with transcript levels (qPCR)
Use this approach to distinguish transcriptional from post-transcriptional regulation
Data Analysis:
Apply appropriate statistical tests based on experimental design
For multiple conditions, use ANOVA followed by appropriate post-hoc tests
Report both absolute and relative changes in GLIP7 levels
These approaches allow for robust quantification across different experimental conditions with appropriate statistical rigor.
Ensuring antibody specificity is particularly challenging with plant extracts due to the presence of diverse lipases and secondary metabolites. Consider these approaches:
Pre-absorption Controls:
GLIP7 Antibody can be leveraged to investigate plant immunity through these advanced approaches:
Temporal Expression Analysis:
Induce immune responses with pathogen-associated molecular patterns (PAMPs)
Collect samples at defined time points (0, 1, 3, 6, 12, 24, 48 hours)
Analyze GLIP7 protein levels by Western blot
Correlate GLIP7 expression with defense gene activation
Spatial Regulation Studies:
Use immunohistochemistry to localize GLIP7 in infected versus healthy tissues
Determine if GLIP7 redistributes within cells after pathogen challenge
Map expression patterns in specific cell types during infection
Functional Inhibition:
Apply GLIP7 Antibody to inhibit GLIP7 function in in vitro lipase assays
Compare lipase activity profiles between mock and pathogen-infected samples
Determine if GLIP7 enzymatic activity changes during immune responses
Post-translational Modification Analysis:
Immunoprecipitate GLIP7 from control and infected plants
Analyze precipitates for phosphorylation, ubiquitination, or other modifications
Determine if pathogen exposure triggers regulatory modifications of GLIP7
This systematic approach provides insight into GLIP7's role in plant immunity and potential applications in crop protection strategies.
To investigate GLIP7 evolution across plant species:
Cross-Species Reactivity Testing:
Test GLIP7 Antibody against protein extracts from different plant species
Perform Western blot analysis on taxonomically diverse plants
Create a phylogenetic map of cross-reactivity
Comparative Expression Analysis:
Select orthologs of GLIP7 in crop plants and model species
Examine expression patterns under identical stress conditions
Investigate whether regulatory mechanisms are conserved
Structure-Function Conservation:
Immunoprecipitate GLIP7 orthologs from different species
Compare enzymatic activities and substrate preferences
Correlate functional differences with evolutionary distance
Protein Sequence Analysis:
Align GLIP7 sequences from multiple species
Identify conserved epitopes recognized by the antibody
Correlate epitope conservation with antibody cross-reactivity
Map conservation patterns of catalytic versus regulatory domains
This evolutionary perspective enhances understanding of GLIP7's fundamental biological importance and adaptive significance across the plant kingdom.
Multi-omics integration for GLIP7 research:
Correlation Analysis Workflow:
Quantify GLIP7 protein levels using quantitative Western blot or ELISA
Obtain transcriptomic data (RNA-seq or microarray) from the same samples
Profile lipid metabolites, particularly those potentially processed by GLIP7
Calculate correlation coefficients between:
GLIP7 protein abundance
GLIP7 transcript levels
Concentrations of substrate/product metabolites
Visualize relationships using heatmaps and network diagrams
Integration Tools:
Use platforms like MetaboAnalyst for integrating protein and metabolite data
Apply WGCNA (Weighted Gene Co-expression Network Analysis) to identify genes co-regulated with GLIP7
Implement Bayesian network approaches to infer causal relationships
Biological Pathway Mapping:
Map GLIP7 activity to known lipid metabolism pathways
Identify key nodes where GLIP7 expression correlates with metabolic changes
Develop testable hypotheses about GLIP7's role in coordinating metabolism and defense responses
Temporal Dynamics Analysis:
Collect time-series data across multiple omics layers
Apply dynamic network modeling to elucidate how GLIP7 functions within temporal response networks
Identify potential regulatory mechanisms based on precedence relationships
This integrated approach provides a systems-level understanding of GLIP7 function within the broader context of plant physiology and stress responses.
GLIP7 Antibody can be adapted for cutting-edge research applications:
Proximity Labeling Applications:
Conjugate GLIP7 Antibody to promiscuous biotin ligases (BioID, TurboID)
Express in planta to identify proteins in proximity to GLIP7
Map the spatial interactome of GLIP7 in different subcellular compartments
Super-Resolution Microscopy:
Label GLIP7 Antibody with appropriate fluorophores for STORM or PALM imaging
Achieve nanoscale resolution of GLIP7 localization
Investigate potential membrane microdomains where GLIP7 may concentrate
Microfluidic Single-Cell Analysis:
Apply GLIP7 Antibody in microfluidic devices with single-cell resolution
Quantify cell-to-cell variation in GLIP7 expression
Correlate with single-cell transcriptomics data
CRISPR Epitope Tagging Validation:
Use CRISPR/Cas9 to add epitope tags to endogenous GLIP7
Compare detection between GLIP7 Antibody and epitope tag antibodies
Validate specificity and sensitivity in genetically modified plants
These emerging applications expand the utility of GLIP7 Antibody beyond traditional research methods, enabling new discoveries about GLIP7 biology.
When validating GLIP7 knockouts for antibody specificity:
Genetic Knockout Strategies:
Generate multiple independent knockout lines using CRISPR/Cas9
Target different exons to create distinct truncations
Verify gene disruption by sequencing and transcript analysis
Comprehensive Validation Protocol:
Extract proteins from wild-type and knockout plants
Perform Western blot with GLIP7 Antibody
Confirm absence of band at expected molecular weight in knockout lines
Check for non-specific bands that persist in knockout samples
Conduct immunohistochemistry on both genotypes
Verify absence of specific staining patterns in knockout tissues
Potential Pitfalls:
Functional redundancy from other GLIP family members
Incomplete knockout leading to truncated proteins
Compensatory upregulation of related lipases
Developmental effects that complicate interpretation
Controls and Standards:
Include recombinant GLIP7 protein as positive control
Test antibody lot-to-lot variation on knockout samples
Consider complementation with GLIP7 cDNA to restore signal
These rigorous validation approaches ensure that experimental observations can be confidently attributed to GLIP7-specific effects.
To connect GLIP7 protein detection with enzymatic activity:
Integrated Analysis Workflow:
Immunoprecipitate GLIP7 using GLIP7 Antibody
Split precipitate for parallel Western blot confirmation and activity assays
Measure lipase activity using appropriate substrates
Correlate protein levels with enzymatic activity across samples
Apply specific lipase inhibitors to confirm activity specificity
Activity Assay Customization:
Develop fluorogenic or chromogenic substrates suitable for GLIP7
Optimize reaction conditions (pH, temperature, cofactors)
Compare activity against different lipid classes
Create standard curves with purified recombinant GLIP7
Structural-Functional Analysis:
Use antibodies against different GLIP7 epitopes to determine if binding affects catalytic activity
Investigate if post-translational modifications recognized by specific antibodies correlate with altered enzymatic function
Map antibody binding sites relative to catalytic domains
In situ Activity Detection:
Develop protocols combining immunolocalization with activity-based probes
Visualize both GLIP7 presence and activity within the same tissues
Identify potentially inactive pools of GLIP7 protein
This combined approach bridges the gap between protein detection and functional significance, providing deeper insights into GLIP7's biological roles.
| Detection Method | Sensitivity | Specificity | Advantages | Limitations |
|---|---|---|---|---|
| GLIP7 Antibody Western Blot | High | High (with proper controls) | Detects protein regardless of activity state; size information | Requires specific antibody; semi-quantitative |
| Activity-Based Protein Profiling | Medium-High | Medium | Detects only active enzymes; works across species | May detect other lipases; no size information |
| GFP-Tagged GLIP7 | High | Very High | Live imaging possible; avoids antibody specificity issues | Requires genetic modification; tag may affect function |
| qRT-PCR for GLIP7 mRNA | Very High | Very High | Highly sensitive; works with degraded samples | Measures transcript not protein; no activity information |
| Mass Spectrometry | Very High | Very High | Absolute quantification possible; detects modifications | Expensive; requires specialized equipment; complex sample prep |
| The GLIP7 Antibody offers a balanced approach with good sensitivity and specificity when proper controls are implemented. It is particularly valuable when combined with complementary techniques for comprehensive analysis. |
For robust statistical analysis of GLIP7 expression:
Experimental Design Considerations:
Minimum three biological replicates per condition
Include appropriate technical replicates
Consider blocked designs to control for batch effects
Statistical Tests by Scenario:
Two-condition comparison: Student's t-test or Mann-Whitney U test (non-parametric)
Multiple conditions: One-way ANOVA followed by Tukey's or Dunnett's post-hoc test
Time-series data: Repeated measures ANOVA or mixed-effects models
Correlation with other variables: Pearson's or Spearman's correlation coefficients
Analysis Guidelines:
Test data for normality using Shapiro-Wilk test
Apply appropriate transformations if needed (log, square root)
Report effect sizes along with p-values
Use multiple testing correction (FDR) when performing numerous comparisons
Consider power analysis to determine adequate sample size
Advanced Statistical Approaches:
Principal Component Analysis for multivariate datasets
Cluster analysis to identify expression patterns
Machine learning methods for complex datasets
Appropriate statistical rigor enhances the reliability and reproducibility of GLIP7 research findings.
When protein and transcript levels of GLIP7 do not correlate:
Potential Biological Explanations:
Post-transcriptional regulation (miRNAs, RNA binding proteins)
Translational efficiency differences
Protein stability and turnover rates
Post-translational modifications affecting antibody recognition
Subcellular redistribution changing extraction efficiency
Systematic Investigation Approach:
Verify observations with alternative methods (different antibodies, tag-based detection)
Examine mRNA stability and half-life using actinomycin D chase experiments
Investigate protein turnover rates with cycloheximide chase assays
Assess potential involvement of the ubiquitin-proteasome pathway
Examine response kinetics at higher temporal resolution
Reconciliation Strategies:
Consider time delays between transcription and translation
Investigate compartment-specific expression patterns
Examine tissue-specific differences in post-transcriptional regulation
Study stimulus-specific effects on mRNA stability or translation These discrepancies often reveal important biological regulatory mechanisms and should be viewed as opportunities for discovering novel aspects of GLIP7 regulation rather than experimental failures.