The At4g30250 gene encodes a P-loop-containing nucleoside triphosphate hydrolase, a protein implicated in ATP-binding and hydrolysis. Such proteins are often involved in critical cellular processes, including signal transduction, metabolic regulation, and stress responses. Structural predictions suggest it contains a conserved nucleotide-binding domain, which is characteristic of enzymes participating in energy-dependent reactions .
Property | Description |
---|---|
Gene ID | AT4G30250 |
Molecular Function | Nucleotide binding, ATP hydrolysis |
Biological Process | Metabolic regulation, stress response (inferred from superfamily activity) |
Subcellular Localization | Predominantly cytoplasmic (based on homologs) |
Expression Profile: The gene is significantly downregulated in response to biotic or abiotic stressors, as shown in transcriptomic datasets .
Functional Inference: Homology with P-loop hydrolases suggests involvement in energy metabolism, though direct mechanistic evidence remains sparse.
Sensitivity: Validated for WB with high specificity to the target antigen .
Utility in Custom Studies: As a niche reagent, it is critical for labs focusing on Arabidopsis metabolic enzymes.
Limited Published Data: No peer-reviewed studies explicitly using this antibody are available, highlighting the need for further validation in diverse experimental contexts (e.g., immunoprecipitation or cellular localization assays).
Expand Applications: Testing in immunohistochemistry (IHC) or immunofluorescence (IF) could enhance its utility.
At4g30250 is related to the ATG protein family involved in autophagy processes in plants. Similar to ATG6, which functions in Arabidopsis thaliana's immune response pathway, At4g30250 likely plays a role in cellular processes related to autophagy and immunity. ATG proteins are crucial components of the autophagy machinery, with ATG6 specifically shown to interact with NPR1 to enhance plant resistance to pathogens . Research methods for studying At4g30250 typically involve protein-protein interaction assays, subcellular localization studies using fluorescent fusion proteins, and functional characterization through overexpression and knockout studies similar to those used for ATG6 and related proteins.
For optimal antibody concentration determination, perform a titration experiment using your protein of interest. Based on established protocols for plant autophagy-related proteins like ATG4, start with a dilution range of 1:1,000 to 1:10,000, with 1:5,000 being a recommended starting point . Prepare multiple identical Western blot membranes with both recombinant protein standards (if available) and plant protein extracts. Incubate each membrane with different antibody concentrations, then compare signal-to-noise ratios. The optimal concentration should provide clear specific bands with minimal background. For ATG4 antibodies, a 1:5,000 dilution has been shown to detect as little as 25 ng of recombinant protein , which may serve as a reference point for At4g30250 antibody optimization.
When validating an At4g30250 antibody, include the following essential controls:
Positive control: Recombinant At4g30250 protein (10-25 ng) or extracts from tissues known to express the protein
Negative control: Extracts from knockout mutants (at4g30250) or tissues known not to express the protein
Cross-reactivity controls: Related proteins or extracts from organisms where the antibody shouldn't react
Secondary antibody-only control: To assess background from the secondary antibody
Pre-immune serum control: If using a polyclonal antibody
Competition assay: Pre-incubating the antibody with purified antigen before staining
For reference, ATG4 antibody validation included testing against multiple species (showing reactivity with Chlamydomonas reinhardtii and Chlorococcum dorsiventrale but not with Arabidopsis thaliana, Capsicum annuum, or Nicotiana tabacum) . This comprehensive validation approach ensures antibody specificity and prevents false interpretations in experimental results.
For optimal immunolocalization of At4g30250, consider the following methodology based on successful approaches with related plant proteins:
Fixation: Use 4% paraformaldehyde in PBS for 20 minutes at room temperature, as this preserves protein epitopes while maintaining cellular architecture
Permeabilization: Treat with 0.1% Triton X-100 for 10 minutes to allow antibody access while preserving subcellular structures
Blocking: Use 5% BSA in PBS for 1 hour to reduce non-specific binding
Primary antibody incubation: Apply At4g30250 antibody at optimized dilution (typically 1:100 to 1:500 for immunofluorescence) overnight at 4°C
Co-localization markers: Include organelle-specific markers (such as nuclear markers used for ATG6 studies) to determine precise subcellular distribution
Controls: Include knockout lines as negative controls and consider dual localization with fluorescently-tagged At4g30250 constructs for verification
Based on ATG6 studies, which demonstrated nuclear and cytoplasmic localization patterns in Arabidopsis cells, be attentive to potential dual localization of At4g30250 . This approach will help identify functional associations and protein complexes within specific cellular compartments.
For successful immunoprecipitation (IP) with At4g30250 antibodies, follow these optimized parameters:
Sample preparation: Extract proteins from plant tissues using a gentle lysis buffer (50 mM Tris-HCl pH 7.5, 150 mM NaCl, 0.5% NP-40, 1 mM EDTA) supplemented with protease inhibitors
Antibody amount: Use 2-5 μg of purified antibody per 200-500 μg of total protein extract
Pre-clearing: Incubate protein extracts with protein A/G beads for 1 hour at 4°C to remove non-specific binding proteins
IP conditions: Incubate pre-cleared extracts with antibody overnight at 4°C with gentle rotation
Bead selection: For polyclonal rabbit antibodies (similar to ATG4 antibodies), use protein A sepharose beads
Washing stringency: Perform at least 4 washes with decreasing salt concentrations (from 300 mM to 150 mM NaCl)
Elution method: Use either acidic elution (0.1 M glycine pH 2.5) with immediate neutralization or SDS sample buffer at 95°C for 5 minutes
For co-IP experiments investigating protein interactions (like the ATG6-NPR1 interaction ), include appropriate controls such as IgG control, input sample, and flow-through to validate specific interactions and ensure reproducible results.
To investigate At4g30250's protein-protein interactions in immunity pathways, implement these advanced research approaches:
Co-immunoprecipitation coupled with mass spectrometry: Use At4g30250 antibodies to pull down protein complexes from plants under different immune challenges, followed by mass spectrometry to identify interacting partners. This approach revealed ATG6's interaction with NPR1 in plant immunity .
Bimolecular Fluorescence Complementation (BiFC): Design split-fluorescent protein fusions with At4g30250 and potential interacting partners to visualize interactions in vivo, similar to techniques confirming ATG6-NPR1 interaction.
Proximity labeling: Use antibody-guided approaches like BioID or APEX2 fusions to At4g30250 to identify proximal proteins in living cells.
Stimulus-dependent interaction analysis: Compare interaction networks under various conditions:
Basal state
Pathogen exposure
Treatment with immunity elicitors (e.g., salicylic acid)
Abiotic stress conditions
Domain-specific interaction mapping: Use truncated versions of At4g30250 with domain-specific antibodies to map interaction interfaces.
These approaches should be validated with appropriate controls, including non-specific antibodies, knockout mutants, and competitive binding assays to ensure specificity of observed interactions.
When studying At4g30250 dynamics during autophagy induction, consider these critical experimental design elements:
Induction methods: Compare multiple autophagy induction methods:
Nutrient starvation (carbon or nitrogen)
Chemical inducers (e.g., rapamycin)
Stress treatments (oxidative, salt, drought)
Pathogen challenge
Temporal resolution: Collect samples across multiple timepoints (15 min, 30 min, 1h, 3h, 6h, 12h, 24h) to capture the dynamic nature of autophagy processes.
Subcellular fractionation: Separate nuclear, cytosolic, and membrane fractions to track potential subcellular relocalization, as observed with ATG6 which shows both cytoplasmic and nuclear localization .
Quantification methods:
Western blotting with At4g30250 antibodies for protein level changes
Immunofluorescence for localization shifts
Co-localization with autophagosome markers (ATG8)
Live-cell imaging with fluorescent fusion proteins to complement antibody-based approaches
Post-translational modification analysis: Use phospho-specific antibodies or mass spectrometry to detect modifications affecting At4g30250 function during autophagy.
Genetic backgrounds: Compare wild-type, At4g30250 overexpression, and knockout lines, as well as mutants in other autophagy components to establish epistatic relationships.
This comprehensive approach allows for mechanistic understanding of At4g30250's role in autophagy pathways, similar to established protocols for studying ATG4 and ATG6 dynamics .
For investigating plant-pathogen interactions using At4g30250 antibodies in immunohistochemistry, follow this specialized protocol:
Sample preparation:
Fix infected and control plant tissues in 4% paraformaldehyde
Embed in paraffin or prepare cryosections (10-15 μm thickness)
Use sequential sections for multiple staining approaches
Antibody optimization:
Test antibody concentrations ranging from 1:50 to 1:500
Optimize antigen retrieval methods (citrate buffer pH 6.0, EDTA buffer pH 9.0)
Include controls with pre-immune serum and knockout lines
Dual/triple labeling strategy:
Detection methods:
Use fluorescent secondary antibodies for co-localization studies
For challenging detection, implement tyramide signal amplification
Consider quantum dot-conjugated antibodies for higher sensitivity and photostability
Quantitative analysis:
Measure signal intensity across infection sites
Analyze protein distribution patterns relative to pathogen structures
Perform time-course studies to track dynamic changes during infection progression
This approach will reveal spatial and temporal regulation of At4g30250 during pathogen challenge, providing insights into its role in plant immune responses similar to the documented role of ATG6 in enhancing NPR1-mediated immunity .
To address non-specific binding with At4g30250 antibodies:
Antibody purification options:
Affinity purify antibodies against the immunizing peptide/protein
Perform cross-adsorption against plant extracts from knockout lines
Consider using monoclonal antibodies if polyclonal shows high background
Blocking optimization:
Test alternative blocking agents (5% BSA, 5% non-fat milk, 2% normal serum)
Increase blocking time to 2-3 hours at room temperature
Add 0.1-0.5% Tween-20 to reduce hydrophobic interactions
Sample preparation improvements:
Pre-absorb plant endogenous peroxidases and phosphatases
Remove problematic plant compounds through acetone precipitation
Consider alternative extraction buffers with ionic or non-ionic detergents
Advanced controls for validation:
Perform peptide competition assays at multiple peptide concentrations
Include immunodepletion controls
Use multiple antibodies targeting different epitopes of At4g30250
Quantitative assessment of specificity:
Test Parameter | Standard Protocol | Optimized Protocol for Reducing Non-specific Binding |
---|---|---|
Blocking Agent | 5% Milk in PBS-T | 3% BSA + 2% normal serum + 0.3% Triton X-100 in PBS |
Blocking Time | 1 hour at RT | 3 hours at RT or overnight at 4°C |
Antibody Dilution | 1:5000 | 1:8000-1:10000 (after affinity purification) |
Wash Buffer | PBS + 0.1% Tween-20 | PBS + 0.3% Tween-20 + 0.5M NaCl |
Wash Duration | 3 × 5 min | 5 × 10 min |
This systematic approach to optimizing antibody conditions will significantly reduce non-specific binding while maintaining sensitivity for At4g30250 detection.
For accurate quantification of At4g30250 expression across plant tissues, implement these best practices:
Sample normalization strategies:
Use total protein normalization determined by Ponceau S or amido black staining
Include multiple housekeeping protein controls (actin, tubulin, GAPDH)
Apply tissue-specific loading controls that maintain stable expression in your experimental conditions
Quantification methodology:
Use digital image analysis software with background subtraction
Apply rolling ball algorithm for uneven background correction
Generate standard curves with recombinant protein for absolute quantification
Perform biological replicates (n≥3) and technical replicates (n≥2)
Statistical analysis approach:
Apply appropriate statistical tests (ANOVA with post-hoc tests)
Calculate coefficient of variation (CV < 20% for reliable quantification)
Implement normality tests before selecting parametric/non-parametric analysis
Validation through complementary methods:
Confirm protein levels with RNA expression analysis (qRT-PCR)
Consider mass spectrometry-based targeted proteomics for absolute quantification
Use fluorescent reporter fusions to validate tissue-specific expression patterns
Data presentation standards:
Present raw blot images alongside quantification
Clearly indicate sample loading amounts
Show all biological replicates and technical variance
Use consistent scaling across comparative analyses
This comprehensive approach ensures reliable and reproducible quantification of At4g30250 expression patterns, similar to methods used for quantifying ATG4 expression in algal systems and ATG6 in Arabidopsis .
Comparative analysis of At4g30250 antibodies with other ATG protein antibodies reveals important differences in specificity and application potential:
Epitope conservation assessment:
At4g30250 antibodies should be evaluated against a panel of related ATG proteins to establish cross-reactivity profiles
Compare with published data on ATG4 antibodies, which show specificity for algal ATG4 but not Arabidopsis, Capsicum, or Nicotiana homologs
Analyze epitope conservation across plant species using bioinformatic approaches
Application-specific performance comparison:
Cross-species reactivity profiles:
Functional region targeting:
Analyze whether antibodies target conserved functional domains or variable regions
Determine if antibodies can distinguish between active and inactive protein states
Assess ability to detect post-translational modifications compared to other ATG protein antibodies
This systematic comparison provides researchers with crucial information for selecting the appropriate antibody based on experimental goals and model systems.
When adapting At4g30250 antibody methods from model plants to crop species, implement these critical methodological modifications:
Extraction buffer optimization:
Adjust buffer composition to address crop-specific compounds (phenolics, polysaccharides)
Implement PVPP (2-5%) for crops with high phenolic content
Add specific protease inhibitors targeting crop-specific proteases
Optimize reducing agent concentration (DTT/β-mercaptoethanol) based on crop biochemistry
Tissue-specific protocol modifications:
For woody tissues: Extend grinding time and include cell wall-degrading enzymes
For high-lipid tissues: Add additional lipid extraction steps with chloroform
For seed tissues: Include extended denaturation steps to disrupt storage proteins
Cross-reactivity verification steps:
Test antibody against recombinant At4g30250 homologs from target crop species
Validate expected molecular weight shifts based on sequence analysis
Perform peptide competition assays with crop-specific peptide sequences
Signal detection adjustments:
Increase antibody concentration by 1.5-2× for crops with lower homology to Arabidopsis
Extend primary antibody incubation time (overnight at 4°C)
Consider enhanced chemiluminescence systems for challenging crop samples
Validation controls:
Include tissue from model species as positive controls
Where possible, use CRISPR-edited crop lines lacking At4g30250 homologs
Complement antibody detection with mass spectrometry validation
This systematic adaptation approach ensures successful transition of At4g30250 antibody-based methods from model systems to agriculturally relevant crop species, while maintaining specificity and sensitivity.
At4g30250 antibodies can be strategically integrated with cutting-edge single-cell technologies to advance plant research:
Single-cell proteomics applications:
Adapt antibodies for mass cytometry (CyTOF) to quantify At4g30250 across thousands of individual plant cells
Develop conjugated antibodies for microfluidic antibody capture techniques
Combine with single-cell protein sequencing methods to map At4g30250 interaction networks
Spatial proteomics integration:
Implement At4g30250 antibodies in Imaging Mass Cytometry (IMC) for tissue-wide protein localization
Adapt for multiplexed ion beam imaging (MIBI) to achieve nanometer-scale resolution
Combine with cyclic immunofluorescence to map At4g30250 alongside dozens of other proteins
Single-cell multi-omics approaches:
Use At4g30250 antibodies for CITE-seq to correlate protein levels with transcriptomes
Develop methods for combining CUT&Tag with antibody-based protein detection
Implement in spatial transcriptomics platforms with protein co-detection capabilities
Microfluidic applications:
Adapt antibodies for droplet-based single-cell protein analysis
Develop microfluidic antibody arrays for analyzing At4g30250 in protoplasts
Integrate with lab-on-chip devices for real-time monitoring of plant cell responses
Algorithm development needs:
Develop computational methods for integrating antibody-derived data with other single-cell datasets
Create plant-specific data processing pipelines for antibody-based single-cell techniques
Implement machine learning approaches for identifying At4g30250-defined cell states
These integrative approaches will transform our understanding of At4g30250's role in plant cell heterogeneity and tissue-specific functions, potentially revealing previously undetectable cell populations defined by specific At4g30250 expression or modification patterns.
Developing phospho-specific antibodies for At4g30250 requires careful consideration of these critical factors:
Phosphorylation site selection strategy:
Analyze predicted phosphorylation sites using multiple algorithms (NetPhos, PhosphoSite)
Prioritize evolutionarily conserved sites across plant species
Focus on sites with known functional significance or within regulatory domains
Consider sites analogous to those found in ATG6, which may undergo post-translational modifications affecting its function in plant immunity
Peptide design parameters:
Design phosphopeptides 10-15 amino acids in length
Position phosphorylated residue centrally within the peptide
Ensure unique sequence to avoid cross-reactivity with related ATG proteins
Include a C-terminal cysteine for carrier protein conjugation
Consider tandem phosphorylation sites if functionally relevant
Immunization and screening protocol:
Implement dual-selection strategy using phosphorylated and non-phosphorylated peptides
Screen antibodies against phosphatase-treated vs. untreated samples
Validate with phosphomimetic (S/T→D/E) and phospho-null (S/T→A) mutants
Test against extracts from plants treated with kinase activators/inhibitors
Validation experimental design:
Verify antibody specificity using CRISPR-generated phospho-site mutants
Confirm using mass spectrometry to detect enriched phosphopeptides
Test against samples from multiple stress conditions known to induce phosphorylation
Validate detection limits and dynamic range using synthetic phosphopeptides
Application-specific optimization:
For Western blotting: Include phosphatase inhibitors in extraction buffers
For immunofluorescence: Test different fixation methods to preserve phospho-epitopes
For IP-MS: Optimize buffer conditions to maintain phosphorylation during purification
Following these guidelines will yield highly specific phospho-antibodies capable of distinguishing At4g30250 activation states, enabling detailed studies of signaling dynamics during plant stress responses and developmental transitions.
At4g30250 antibodies can make significant contributions to systems biology analysis of plant autophagy networks through these integrative approaches:
Multi-protein complex analysis:
Use At4g30250 antibodies for sequential immunoprecipitation (IP) to isolate distinct protein complexes
Combine with proximity labeling techniques (BioID, APEX) to map dynamic interaction networks
Apply to different developmental stages and stress conditions to create temporal interaction maps
Compare with known ATG6 complexes involved in plant immunity pathways
Quantitative proteomics integration:
Implement antibodies in IP-MS workflows for quantifying At4g30250 interactomes
Use for absolute quantification of At4g30250 across tissues and conditions
Combine with phosphoproteomics to correlate At4g30250 modification with global phosphorylation networks
Integrate data with existing autophagy protein interaction networks
Multi-omics data integration approaches:
Correlate antibody-derived protein quantification with transcriptomics data
Map At4g30250 levels against metabolomic changes during autophagy
Integrate with epigenomic data to understand regulatory mechanisms
Use machine learning to identify predictive signatures of At4g30250 activity
Network modeling applications:
Generate protein-protein interaction networks centered on At4g30250
Create Boolean network models incorporating At4g30250 state changes
Develop ordinary differential equation models of autophagy dynamics
Validate model predictions using antibody-based experimental approaches
Visualization and analysis tools:
Develop specialized visualization platforms for At4g30250-centered networks
Create computational pipelines for integrating antibody-derived data
Implement interactive network browsers for exploring At4g30250 associations
Design statistical frameworks for comparing networks across conditions
This systems biology framework transforms At4g30250 antibodies from simple detection tools into powerful probes for mapping and modeling complex autophagy networks, similar to approaches used for studying ATG6-NPR1 interactions in plant immunity .
For optimal experimental design to study At4g30250 dynamics during developmental transitions:
Developmental sampling strategy:
Implement precise developmental staging based on morphological markers
Create high-resolution time series across key transitions (germination, flowering, senescence)
Include spatial sampling from different organs and tissue layers
Establish synchronized plant populations for reduced biological variation
Multi-parameter analysis design:
Combine At4g30250 antibody detection with:
Cell-type specific markers
Cell cycle stage indicators
Hormone signaling reporters
Autophagy flux markers (e.g., ATG8 lipidation)
Track correlations between At4g30250 levels and these parameters
Imaging strategy optimization:
Implement whole-mount immunofluorescence protocols for intact tissues
Use optical clearing techniques to enable deep tissue imaging
Apply super-resolution microscopy for subcellular localization
Establish live-cell imaging systems complemented with fixed-timepoint antibody analysis
Perturbation experimental design:
Create inducible At4g30250 knockdown/overexpression lines
Apply specific autophagy inhibitors at defined developmental stages
Implement hormone treatments to alter developmental progression
Design environmental stress regimes to disrupt normal developmental timing
Integrative data collection protocol:
Record comprehensive phenotypic data alongside molecular measurements
Document cellular morphology changes correlated with At4g30250 dynamics
Measure physiological parameters (growth rates, metabolic status)
Collect tissue-specific transcriptomes at corresponding timepoints