The At4g00320 protein (UniProt: P0C2G6) is a 507-amino-acid F-box/LRR-repeat protein implicated in ubiquitin-mediated proteolysis pathways. F-box proteins typically function as substrate receptors in Skp1-Cullin-F-box (SCF) E3 ubiquitin ligase complexes, marking specific proteins for degradation .
| Key Features of At4g00320 Protein |
|---|
| Gene ID |
| Protein Length |
| Domain Structure |
| Predicted Function |
| Parameter | Details |
|---|---|
| Host Species | Mouse |
| Clonality | Monoclonal (combination) |
| Epitope Coverage | N-terminal, C-terminal, or mid-region |
| Applications | WB, IF, IHC, IP/ChIP |
| ELISA Titer | 10,000 |
| Sensitivity | ~1 ng detection limit on WB |
| Packages | X2-P0C2G6 ($899 for N+C termini) |
| Parameter | Details |
|---|---|
| Host Species | Rabbit |
| Clonality | Polyclonal |
| Immunogen | Recombinant At4g00320 protein |
| Applications | ELISA, WB |
| Purity | Antigen-affinity purified |
| Storage | -20°C/-80°C (avoid freeze-thaw) |
Detects endogenous At4g00320 protein in Arabidopsis lysates .
Validation relies on immunoaffinity chromatography and epitope-specific synthetic peptides .
Localizes At4g00320 in plant tissues using fluorescence or chromogenic detection .
Compatible with polymer-HRP secondary antibodies for signal amplification .
Both antibodies show exclusive reactivity to Arabidopsis thaliana samples .
No cross-reactivity reported with mammalian or bacterial proteins.
Abmart offers tailored antibody development for specific needs, including:
At4g00320 is a gene located on chromosome 4 of Arabidopsis thaliana that encodes a protein involved in crucial plant cellular processes. Antibodies targeting this protein enable visualization, quantification, and functional analysis across different developmental stages and conditions. Similar to how antibodies against histone deacetylases have revealed mechanisms in plant development, At4g00320 antibodies allow researchers to study protein localization, interaction networks, and abundance patterns . These antibodies facilitate techniques including western blotting, immunoprecipitation, and immunofluorescence microscopy, providing insights into the protein's biological role and regulation mechanisms.
Both monoclonal and polyclonal antibodies have specific advantages for At4g00320 research:
| Antibody Type | Advantages | Limitations | Best Applications |
|---|---|---|---|
| Monoclonal | High specificity for single epitope, Consistent batch-to-batch results, Excellent for quantitative analysis | May miss isoforms, Less robust to fixation conditions | Western blotting, ChIP-seq, Flow cytometry |
| Polyclonal | Recognize multiple epitopes, Higher sensitivity, More tolerant to protein denaturation | Batch-to-batch variation, Potential for cross-reactivity | Immunoprecipitation, Immunohistochemistry |
| Nanobodies | Small size (~15kDa), Enhanced tissue penetration, Genetic fusion capabilities | Limited commercial availability, Specialized production | Live-cell imaging, Intracellular targeting |
Monoclonal antibodies like CCRC-M1 provide precise targeting of specific protein domains , while polyclonal antibodies offer increased detection sensitivity. Novel approaches using nanobodies (single-domain antibodies derived from camelids) are emerging in plant research, offering advantages similar to those demonstrated in HIV and cancer research .
Comprehensive validation of At4g00320 antibody specificity requires multiple complementary approaches:
Genetic validation: Perform western blots comparing wild-type plants with At4g00320 knockout/knockdown mutants to confirm band absence/presence at the expected molecular weight.
Biochemical validation: Conduct immunoprecipitation followed by mass spectrometry to verify At4g00320 pulldown.
Competitive inhibition: Pre-incubate antibody with purified At4g00320 protein before immunostaining to demonstrate signal elimination.
Epitope mapping: Characterize the exact binding region to ensure specificity.
Cross-reactivity testing: Evaluate antibody against related plant proteins.
Orthogonal methods: Compare antibody results with alternative detection methods (fluorescent protein fusions, RNA expression).
This validation approach parallels techniques used in HDA9 studies , ensuring reliable research outcomes and reproducibility across experiments.
Optimizing co-immunoprecipitation (co-IP) for At4g00320 protein interactions requires systematic buffer and protocol adjustments:
Buffer optimization:
Test salt gradients (150-500 mM NaCl) to balance specificity and interaction strength
Evaluate detergent types (Triton X-100, NP-40) and concentrations
Incorporate protease/phosphatase inhibitors to preserve interactions
Cross-linking strategies:
Implement formaldehyde cross-linking for transient interactions
Optimize cross-linking time (5-15 minutes) to balance signal and background
Antibody approaches:
Direct antibody coupling to beads (5-10 μg antibody per 40 μl magnetic beads)
Pre-clear lysates with protein A/G beads to reduce non-specific binding
Use sequential wash buffers of increasing stringency:
Epitope tagging: Consider generating transgenic plants expressing tagged At4g00320 (FLAG, HA) for highly specific pulldowns, similar to approaches used with HDA9-FLAG systems .
These optimizations significantly increase the likelihood of detecting genuine interaction partners while minimizing experimental artifacts.
Nanobodies provide several distinct advantages for At4g00320 research in plant systems:
| Feature | Nanobodies | Traditional Antibodies | Research Impact |
|---|---|---|---|
| Size | ~15 kDa | ~150 kDa | Enhanced tissue penetration, access to sterically hindered epitopes |
| Stability | High thermal stability, pH resistant | Sensitive to temperature, pH | Functional in harsh extraction conditions, longer shelf life |
| Production | Bacterial/yeast expression, genetic fusion capabilities | Mammalian cell required, limited fusion options | Lower production costs, modular research tool creation |
| Application versatility | Intrabody expression, active site binding | Limited intracellular function | In vivo functional studies, enzyme inhibition |
| Multivalency | Easy creation of multivalent constructs | Complex engineering required | Enhanced avidity, multiplexed detection |
The triple tandem format used in HIV nanobody research demonstrates how these tools can be engineered for dramatically increased potency . For At4g00320, nanobodies could enable visualization of protein dynamics in living plant cells while minimizing interference with protein function due to their small size.
ChIP-seq application for studying At4g00320's transcriptional regulatory functions requires careful experimental design and analysis:
Experimental considerations:
Select appropriate developmental stages and tissue types based on At4g00320 expression pattern
Include relevant stress or stimulus conditions to capture condition-specific binding
Prepare biological replicates (minimum 2-3) for statistical power
Optimized ChIP protocol:
Data analysis pipeline:
Integration with transcriptomics:
Compare binding sites with RNA-seq data to correlate with expression changes
Identify direct vs. indirect regulatory targets
Construct gene regulatory networks
This methodology, similar to that used for HDA9 ChIP-seq studies , can reveal genomic binding sites and the regulatory network controlled by At4g00320.
The following optimized western blotting protocol is recommended for At4g00320 antibodies:
Sample preparation:
Extract total protein from plant tissue using buffer containing:
50 mM Tris-HCl (pH 7.5), 150 mM NaCl, 1% Triton X-100, 0.1% SDS
1 mM EDTA, protease inhibitor cocktail
Quantify protein and load 20-40 μg per lane on 10-12% SDS-PAGE
Transfer and blocking:
Transfer to PVDF membrane (25V for 30 minutes or 30V overnight at 4°C)
Block with 5% non-fat dry milk in TBST for 1 hour at room temperature
Antibody incubation:
Primary: Dilute At4g00320 antibody 1:1000 in 5% BSA/TBST, incubate overnight at 4°C
Washing: 3 × 10 minutes with TBST
Secondary: HRP-conjugated secondary antibody (1:5000), incubate 1 hour at room temperature
Detection and analysis:
This protocol incorporates key elements from successful plant protein western blotting approaches, optimized for At4g00320 detection.
Preparation of At4g00320 immunoprecipitation samples for mass spectrometry requires specific considerations:
Cell lysis and extraction:
Harvest 5-10g plant tissue and grind in liquid nitrogen
Extract with IP buffer: 50mM Tris-HCl pH 7.5, 150mM NaCl, 1% Triton X-100, 1mM EDTA
Include protease inhibitors and phosphatase inhibitors
Clarify lysate by centrifugation (14,000g, 15 minutes, 4°C)
Immunoprecipitation:
Sample preparation for MS:
Reduce with 10mM DTT (30 minutes, 56°C)
Alkylate with 55mM iodoacetamide (30 minutes, room temperature, dark)
Digest with MS-grade trypsin (1:50 enzyme:protein ratio, overnight)
Desalt using C18 stage tips or columns
Dry samples and reconstitute in MS-compatible buffer
MS analysis considerations:
Implement LC-MS/MS analysis with high-resolution instruments
Consider SILAC or TMT labeling for quantitative comparison
Use data-dependent and data-independent acquisition methods
Search against Arabidopsis proteome databases
Filter for high-confidence interactors using statistical methods
This protocol ensures high-quality samples for identifying At4g00320 interacting partners with minimal contamination and artifacts.
Common non-specific binding issues with At4g00320 antibodies and their solutions:
| Issue | Potential Causes | Solutions |
|---|---|---|
| Multiple bands in Western blot | Antibody cross-reactivity, Protein degradation, Post-translational modifications | Titrate antibody concentration, Add protease inhibitors, Use phosphatase inhibitors, Try different blocking agents (BSA vs. milk) |
| High background in immunostaining | Insufficient blocking, Excessive antibody concentration, Plant autofluorescence | Extend blocking time (2-3 hours), Reduce antibody concentration, Add 0.1-0.3% Tween-20 to reduce hydrophobic interactions, Use autofluorescence quenchers |
| False positives in IP-MS | Abundant sticky proteins, Antibody binding to protein A/G, Common contaminants | Implement stringent washing steps, Use isotype controls, Cross-reference with CRAPome database, Perform reciprocal IP validation |
| Poor signal-to-noise in ChIP | Non-specific DNA binding, Inefficient chromatin shearing, Suboptimal washing | Optimize sonication parameters, Increase wash stringency, Pre-clear chromatin with protein A/G beads, Include competitor DNA (salmon sperm) |
For plant tissues specifically, include 1-5% polyvinylpyrrolidone in blocking buffers to reduce plant phenolic compound interference . Validate all findings using appropriate controls, including At4g00320 knockout/knockdown plants and isotype-matched control antibodies.
Signal amplification methods can significantly enhance detection of low-abundance At4g00320 protein:
Enzymatic amplification systems:
Tyramide Signal Amplification (TSA): Provides 10-100× signal enhancement by local deposition of fluorescent tyramide
Enzyme-labeled fluorescence (ELF): Uses alkaline phosphatase to generate fluorescent precipitates
Catalyzed reporter deposition (CARD): Enables multiple fluorophore deposition per epitope
Multivalent detection strategies:
Polymer-based detection systems (EnVision, ImmPRESS): Multiple secondary antibodies linked to polymers
Biotin-streptavidin systems: Leverages high-affinity interaction and multiple binding sites
Dendrimeric signal amplification: Branched DNA or antibody structures for exponential signal increase
Sample preparation optimization:
Protein concentration methods: TCA precipitation, methanol-chloroform extraction
Subcellular fractionation: Isolate compartments where At4g00320 is enriched
Epitope retrieval enhancement: Heat-induced or enzymatic methods
Antibody enhancement approaches:
Cocktails of multiple antibodies targeting different At4g00320 epitopes
Primary antibody incubation at higher concentration or extended duration (48 hours at 4°C)
Sequential application of matched primary antibodies
These methods can transform undetectable signals into robust detection, enabling studies of At4g00320 even in tissues with naturally low expression levels.
Nanobody-based approaches offer several promising avenues for advancing At4g00320 research:
Development strategy:
Advanced applications:
Intracellular expression of nanobodies ("intrabodies") to track At4g00320 in living plant cells
Nanobody-based protein degraders to study At4g00320 function through targeted depletion
Conformation-specific nanobodies to distinguish active vs. inactive At4g00320 states
Nanobody-based biosensors to monitor At4g00320 activity in real-time
Multiplexed detection systems:
Bispecific nanobodies targeting At4g00320 and interaction partners
Nanobody-based proximity labeling for interactome studies
Orthogonal labeling with different fluorophores for multicolor imaging
Recent advances in HIV and cancer research using llama nanobodies demonstrate the exceptional specificity and versatility of these tools . For At4g00320, nanobodies could overcome challenges related to protein abundance, localization dynamics, and functional characterization in complex plant tissues.
Emerging methods for studying At4g00320 in spatial and temporal contexts include:
Advanced imaging approaches:
Light-sheet microscopy for rapid 3D tissue imaging with minimal phototoxicity
Super-resolution microscopy (PALM/STORM) for nanoscale localization
Expansion microscopy for physical magnification of plant tissues
Correlative light and electron microscopy (CLEM) for ultrastructural context
Spatially-resolved omics integration:
Spatial transcriptomics aligned with At4g00320 protein localization
Mass spectrometry imaging for label-free protein detection
Single-cell proteomics to reveal cell-type specific variations
Spatial metabolomics to correlate metabolite profiles with At4g00320 activity
Temporal dynamics analysis:
Computational approaches:
Machine learning for signal processing and pattern recognition
4D image analysis for tracking protein movements
Multi-omics data integration algorithms
Modeling of dynamic protein interaction networks
These approaches enable unprecedented insights into At4g00320 function within native cellular environments and across developmental timescales, moving beyond static snapshots to understand dynamic processes.