The At5g17750 gene encodes a sulfur-induced AAA-type ATPase, a critical enzyme in plant sulfur assimilation pathways. Key findings include:
Sulfur Responsiveness: Transcript levels of At5g17750 increase significantly under sulfur-deficient conditions (fold change: 0.84, p = 0.020) .
Metabolic Role: The protein is associated with sulfate reduction and glutathione biosynthesis, processes vital for oxidative stress mitigation .
The antibody has been used to investigate subcellular localization, revealing predominant expression in chloroplasts and vascular tissues, consistent with its role in sulfur metabolism .
Studies employing this antibody demonstrated upregulated At5g17750 protein levels during:
Heavy Metal Exposure: Cadmium stress induces sulfur metabolism, correlating with increased antibody detection signals .
Oxidative Stress: Enhanced expression under hydrogen peroxide treatment, suggesting a protective role .
Specificity: The antibody shows no cross-reactivity with homologous ATPases in Arabidopsis, confirmed via knockout mutant analyses .
Sensitivity: Detects protein concentrations as low as 0.1 ng/µl in Western blots .
A comparative analysis of At5g17750 expression under varying sulfur conditions:
| Condition | Relative Expression | p-value |
|---|---|---|
| Sulfur Sufficiency | 1.00 | — |
| Sulfur Deficiency | 1.84 | 0.020 |
| Cadmium Stress | 2.15 | 0.015 |
ATG5 (Autophagy-related protein 5) plays a crucial role in plant autophagy pathways. The protein forms a conjugate with ATG12 that is essential for plant nutrient recycling processes. In Arabidopsis thaliana, ATG5 is involved in two primary functions: complete proteolysis of chloroplast stroma proteins in senescent leaves and the degradation of damaged peroxisomes . This conjugation is a critical step in autophagosome formation, where the ATG5-ATG12 conjugate forms a cup-shaped isolation membrane that detaches from the membrane immediately before or after autophagosome formation is completed . Unlike in mammalian systems where ATG5 is also implicated in apoptotic processes, plant ATG5 appears primarily dedicated to autophagic functions related to nutrient recycling and organelle quality control.
When selecting antibodies for plant ATG5 detection, researchers should consider:
Specificity validation: Confirm that the antibody specifically recognizes plant ATG5 and not just recombinant proteins. Some antibodies may recognize recombinant ATG5 but require additional validation for endogenous protein detection .
Conjugate detection capability: Determine whether the antibody can detect both free ATG5 (~32 kDa) and the ATG5-ATG12 complex (~55 kDa), which may be important depending on your research questions .
Cross-reactivity profile: Verify whether the antibody shows cross-reactivity with ATG proteins from other species if conducting comparative studies. Some antibodies are raised against specific species (e.g., Arabidopsis thaliana) and may not recognize homologs in other plant species .
Application compatibility: Ensure the antibody is validated for your specific application (Western blot, immunoprecipitation, etc.). For example, the antibody described in the search results is recommended at 1:1000 dilution for Western blot applications .
To maintain antibody efficacy for plant ATG5 research:
Storage temperature: Store lyophilized/reconstituted antibodies at -20°C to maintain stability .
Aliquoting strategy: Once reconstituted, make small aliquots to avoid repeated freeze-thaw cycles that can degrade antibody performance .
Reconstitution protocol: For lyophilized antibodies, reconstitute with the recommended volume of sterile water (e.g., 50 μl for some preparations) .
Sample preparation: Prior to opening stored antibodies, briefly spin the tubes to collect all material that might adhere to the cap or sides of the tube .
Preservative options: Some antibodies can be provided with preservatives like ProClin upon request, which may extend shelf-life while maintaining performance characteristics .
Validating antibody specificity in plant systems requires a multi-step approach:
Recombinant protein controls: Test antibody against purified recombinant ATG5 protein to establish baseline recognition .
Knockout validation: Compare antibody reactivity between wild-type plants and atg5 knockout mutants. The antibody signal should be absent in the knockout line.
Cross-reactivity assessment: Systematically test against related ATG proteins (e.g., ATG7) to confirm absence of cross-reactivity .
Size verification: Confirm that the detected protein bands match the expected molecular weights: ~32 kDa for free ATG5 and ~55 kDa for the ATG5-ATG12 complex .
Epitope mapping: For detailed characterization, determine which specific region of the protein is recognized by the antibody. For example, some antibodies are raised against specific amino acid sequences (like 28-275 aa in human ATG5) .
For isolating ATG5-interacting proteins in plant systems:
Co-immunoprecipitation optimization:
Use mild lysis buffers (e.g., 50 mM Tris-HCl pH 7.5, 150 mM NaCl, 1% NP-40) supplemented with protease inhibitors
Pre-clear lysates with protein A/G beads before immunoprecipitation
Incubate plant lysates with anti-ATG5 antibody overnight at 4°C
Capture complexes using protein A/G magnetic beads
Perform stringent washing steps (4-5 times) while maintaining sufficient buffer volumes
Cross-linking approaches:
Utilize in vivo cross-linking with 1-2% formaldehyde to stabilize transient interactions
For increased specificity, use cleavable cross-linkers that allow reversal during analysis
Proximity labeling techniques:
Express ATG5 fused to BioID or TurboID in Arabidopsis
Apply biotin for defined time periods to label proximal proteins
Isolate biotinylated proteins using streptavidin beads
Identify interacting partners via mass spectrometry
Validation strategies:
Confirm interactions using reverse co-immunoprecipitation
Verify physiological relevance through mutant studies and localization analysis
The detection and analysis of free ATG5 versus ATG5-ATG12 conjugates requires different methodological considerations:
| Parameter | Free ATG5 Detection | ATG5-ATG12 Conjugate Detection |
|---|---|---|
| Molecular Weight | ~32 kDa | ~55 kDa |
| Gel Concentration | 12-15% acrylamide | 8-10% acrylamide |
| Extraction Buffer | Standard lysis buffers | May require specialized buffers to preserve conjugate |
| Antibody Selection | Any anti-ATG5 antibody | Antibody capable of recognizing the complex |
| Controls | atg5 mutant plants | atg12 and atg5 mutant plants |
| Common Challenges | Lower abundance in active autophagy | Truncation generating 40-45 kDa bands |
When analyzing the conjugate formation:
Use non-reducing conditions to preserve the conjugate when appropriate
Include both positive controls (nitrogen starvation to induce autophagy) and negative controls (atg7 mutants that cannot form the conjugate)
Consider using antibodies that specifically recognize the junction region between ATG5 and ATG12 for conjugate-specific detection
Recent advances in computational modeling have improved analysis of antibody-antigen interactions:
Systems serology approaches:
Employ experimental techniques to dissect antibodies' features and functions
Apply computational methods to analyze datasets and understand interconnected relationships between profiled antibodies and immune system response
Simplify complex molecular interactions to identify patterns in antibody effectiveness
Pattern recognition algorithms:
Epitope mapping prediction:
Utilize machine learning algorithms to predict epitope regions on plant ATG proteins
Compare predicted epitopes with experimentally verified binding sites
Generate heat maps showing probability of epitope regions across the ATG5 protein sequence
Structural modeling integration:
Combine antibody binding data with protein structural models of plant ATG5
Simulate conformational changes during ATG5-ATG12 conjugation
Predict accessibility of epitopes during different stages of autophagosome formation
When encountering non-specific binding in ATG5 immunodetection:
Blocking optimization:
Test different blocking agents (5% non-fat milk, 3-5% BSA, commercial blocking buffers)
Extend blocking time to 2-3 hours at room temperature or overnight at 4°C
Add 0.1-0.3% Tween-20 to blocking and antibody incubation buffers
Antibody dilution titration:
Sample preparation refinement:
Improve protein extraction methods specific to plant tissues
Include additional centrifugation steps to remove debris
Add protease inhibitors immediately during extraction
Consider using specialized plant protein extraction buffers containing PVP to remove phenolic compounds
Validation controls:
Include atg5 knockout plants as negative controls
Use recombinant ATG5 protein as positive control
Perform peptide competition assays to confirm specificity
Cross-adsorption technique:
Pre-incubate antibody with plant extract from atg5 mutants
Remove antibodies binding to non-specific targets
Use the pre-adsorbed antibody solution for detection
When designing experiments to study ATG5 in plant stress responses:
Stress induction protocols:
Nitrogen starvation: Transfer plants to nitrogen-free medium for 2-7 days
Carbon starvation: Maintain plants in darkness for 2-5 days
Oxidative stress: Apply H₂O₂ (1-10 mM) or methyl viologen (1-50 μM)
Salt stress: Apply NaCl (100-200 mM) treatments
Tissue sampling timeline:
Collect samples at multiple time points (0, 6, 12, 24, 48, 72 hours)
Include recovery phase samples after stress removal
Consider diurnal variations in autophagy rates
Appropriate controls:
Include atg5, atg7, and atg12 mutant lines
Use both constitutive autophagy markers and stress-responsive controls
Maintain identical growth conditions between experimental and control plants
Multi-assay approach:
Combine Western blot analysis of ATG5-ATG12 conjugate levels
Visualize autophagosomes using fluorescent marker lines (GFP-ATG8)
Quantify autophagic flux using inhibitors like concanamycin A
Assess physiological parameters (chlorophyll content, ion leakage, ROS levels)
Optimizing protein extraction for ATG5 detection across plant tissues:
Tissue-specific extraction buffers:
| Tissue Type | Buffer Composition | Special Considerations |
|---|---|---|
| Leaf | 50 mM HEPES (pH 7.5), 150 mM NaCl, 0.5% Triton X-100, 1 mM EDTA | Add 1% PVP for young leaves, 2% for mature leaves |
| Root | 100 mM Tris-HCl (pH 8.0), 150 mM NaCl, 1% NP-40, 5 mM EDTA | Include 10 mM DTT to prevent oxidation |
| Seed | 100 mM Tris-HCl (pH 7.5), 500 mM NaCl, 2% SDS, 10% glycerol | Pre-grind in liquid N₂, extend extraction time |
| Senescent Tissue | 50 mM Tris-HCl (pH 7.5), 150 mM NaCl, 1% Triton X-100, 5 mM EDTA | Double protease inhibitor concentration |
Critical extraction parameters:
Maintain cold chain throughout extraction (4°C)
Use protease inhibitor cocktail with broad spectrum coverage
Include phosphatase inhibitors when studying regulated autophagy
Perform extraction in sufficient buffer volume (5-10 ml per gram tissue)
Tissue disruption methods:
For leaves: Mortar and pestle grinding in liquid nitrogen
For roots: Bead beating with 1.0-2.0 mm ceramic beads
For recalcitrant tissues: Cryogenic grinding with dry ice
Post-extraction processing:
Centrifuge at ≥20,000 × g for 15 minutes at 4°C
Filter supernatant through 0.45 μm filter for highly fibrous tissues
Consider additional TCA/acetone precipitation for samples with interfering compounds
When faced with contradictory results between ATG5 protein levels and observed autophagy:
Multi-marker validation approach:
Analyze multiple autophagy markers (ATG8-PE, NBR1 degradation)
Compare results from different methodologies (Western blot, microscopy, proteomics)
Assess autophagic flux rather than single time-point measurements
Regulatory mechanism investigation:
Examine post-translational modifications of ATG5
Analyze subcellular localization of ATG5 using fractionation or microscopy
Investigate potential compensatory pathways in atg5 mutant backgrounds
Experimental condition standardization:
Precisely control plant age, growth conditions, and stress application
Harvest tissues at consistent times to account for diurnal variation
Use internal standards for protein quantification
Quantitative analysis framework:
Apply densitometry to quantify Western blot band intensities
Calculate the ratio of ATG5-ATG12 conjugate to free ATG5
Perform statistical analysis across biological replicates (n≥3)
Causality assessment:
Conduct time-course experiments to establish temporal relationships
Use inducible expression systems to manipulate ATG5 levels
Apply pharmacological inhibitors of specific autophagy steps
Recent antibody engineering approaches have enhanced specificity in plant research:
Single-chain variable fragment (scFv) technology:
Phage display selection:
Computational antibody design:
Site-specific conjugation methods:
Development of site-specifically labeled antibodies for quantitative imaging
Creation of antibody-fluorophore conjugates optimized for plant cell imaging
Production of antibody-enzyme fusions for proximity-based detection systems
Recent developments in recombinant ATG5 production for antibody work include:
Expression system optimization:
Plant-based expression systems for proper folding and post-translational modifications
Cell-free protein synthesis for rapid production of ATG5 variants
Bacterial expression with solubility tags (MBP, SUMO) to improve yield
Structural variants production:
Generation of defined ATG5 fragments for epitope mapping
Production of pre-formed ATG5-ATG12 conjugates as reference standards
Creation of ATG5 mutants lacking specific functional domains
Assay development approaches:
Surface plasmon resonance (SPR) with immobilized recombinant ATG5
Bio-layer interferometry for real-time antibody binding kinetics
Multiplex bead-based assays for high-throughput antibody screening
Validation strategies:
Competitive binding assays using recombinant ATG5 versus native plant extracts
Pull-down experiments with tagged recombinant ATG5 as positive controls
Cross-validation between different recombinant forms (prokaryotic vs. eukaryotic expression)
Integration of antibody-based detection with complementary techniques:
Combined fluorescence approaches:
Correlative light and electron microscopy (CLEM) with immunogold labeling of ATG5
Co-localization studies using fluorescently-tagged ATG8 and antibody-detected ATG5
Super-resolution microscopy to resolve autophagosome formation sites
Multi-omics integration:
Correlation of ATG5 protein levels with transcriptomics data
Integration of ATG5 interactome data with global proteomics
Metabolomic profiling to link autophagy activity with cellular metabolic state
Flux measurement combination:
Tandem mRFP-GFP-ATG8 reporter systems complemented with ATG5 quantification
Autophagy substrate degradation rates correlated with ATG5-ATG12 conjugate levels
Use of lysosomal inhibitors to assess flux while monitoring ATG5 dynamics
Temporal analysis framework:
Time-lapse imaging with immunofluorescence at defined intervals
Pulse-chase experiments combined with ATG5 quantification
Inducible systems to trigger autophagy while monitoring ATG5 recruitment kinetics