Antibody-based therapies for ATL primarily target surface antigens on malignant T-cells. Key targets include:
CCR4: A chemokine receptor overexpressed in ATL cells.
CD25: The interleukin-2 receptor alpha chain.
CD45: A pan-leukocyte marker.
These antibodies are often engineered as monoclonal antibodies (mAbs) or antibody-drug conjugates (ADCs) to enhance specificity and cytotoxicity .
For example, defucosylated anti-CCR4 mAbs enhance antibody-dependent cellular cytotoxicity (ADCC) by improving FcγRIIIa binding .
Anti-CD45 Antibodies: Radiolabeled anti-CD45 (e.g., ¹³¹I-antibodies) showed a 61% 3-year survival rate in AML/ATL patients undergoing transplant conditioning .
Bispecific Antibodies: Engage dual epitopes (e.g., CD123 x CD3) to redirect T-cells against ATL blasts, enhancing tumor penetration .
ATL74 antibody is a polyclonal antibody raised in rabbits against recombinant Arabidopsis thaliana ATL74 protein. The target protein (UniProt: Q9LZV8) belongs to the RING-H2 finger protein family, which functions as an E3 ubiquitin ligase involved in protein degradation pathways in Arabidopsis thaliana. The antibody is supplied in liquid form containing 50% glycerol and 0.01M PBS (pH 7.4) with 0.03% Proclin 300 as a preservative . The antibody is purified using antigen affinity chromatography to ensure specificity and minimize cross-reactivity with other proteins.
For optimal preservation of ATL74 antibody activity, storage at -20°C or -80°C is recommended immediately upon receipt. Repeated freeze-thaw cycles should be strictly avoided as they can lead to protein denaturation and subsequent loss of antibody functionality . When working with the antibody, aliquoting into single-use volumes is recommended, with each aliquot being thawed only once and kept on ice during experiments. The antibody's storage buffer (containing 50% glycerol) helps maintain stability during freezing, but proper aliquoting protocols remain essential for preserving long-term reactivity and experimental reproducibility.
ATL74 antibody has been specifically validated for enzyme-linked immunosorbent assay (ELISA) and Western blot (WB) applications . These techniques allow researchers to detect and quantify the ATL74 protein in plant tissue extracts or recombinant protein preparations. For Western blotting, the antibody can detect both native and denatured forms of the protein, making it versatile for different experimental approaches. While not explicitly validated for other applications such as immunohistochemistry or immunoprecipitation, researchers may need to optimize conditions if attempting these applications.
For optimal Western blot results with ATL74 antibody, follow this methodological approach:
Sample preparation: Extract proteins from Arabidopsis thaliana tissues using a buffer containing 50 mM Tris-HCl (pH 7.5), 150 mM NaCl, 1% Triton X-100, and protease inhibitor cocktail.
Protein separation: Load 20-50 μg of protein per lane on a 10-12% SDS-PAGE gel.
Transfer: Transfer proteins to a PVDF membrane (0.45 μm pore size) using standard wet transfer protocols (100V for 60 minutes).
Blocking: Block the membrane with 5% non-fat dry milk in TBST (TBS + 0.1% Tween-20) for 1 hour at room temperature.
Primary antibody incubation: Dilute ATL74 antibody at 1:1000 to 1:2000 in blocking solution and incubate overnight at 4°C with gentle agitation.
Washing: Wash membrane 3-5 times with TBST, 5 minutes each.
Secondary antibody: Incubate with HRP-conjugated anti-rabbit IgG (1:5000 dilution) for 1 hour at room temperature.
Detection: Use enhanced chemiluminescence (ECL) substrate for signal development.
This protocol can be optimized based on specific experimental conditions and protein expression levels.
For developing a reliable ELISA protocol with ATL74 antibody, consider the following methodological steps:
Coating: Coat high-binding ELISA plates with capture antibody (1-5 μg/ml) in carbonate buffer (pH 9.6) overnight at 4°C.
Blocking: Block with 1-3% BSA in PBS for 1-2 hours at room temperature.
Sample addition: Add protein samples diluted in blocking buffer with 0.05% Tween-20.
Detection antibody: Use biotinylated or HRP-conjugated detection antibody.
Signal development: For colorimetric detection, use TMB substrate and measure absorbance at 450 nm.
Optimization Table for ATL74 Antibody ELISA:
| Parameter | Range to Test | Recommended Starting Point |
|---|---|---|
| Coating antibody concentration | 0.5-10 μg/ml | 2 μg/ml |
| Blocking agent | BSA, milk, serum | 2% BSA |
| Sample dilution | 1:2 to 1:100 | 1:10 |
| Primary antibody dilution | 1:500 to 1:5000 | 1:1000 |
| Incubation temperature | 4°C, RT, 37°C | RT (room temperature) |
| Incubation time | 1-16 hours | 2 hours |
Validation experiments should include positive and negative controls to establish specificity and sensitivity ranges.
When working with ATL74 antibody, researchers may encounter several technical challenges. The following troubleshooting approaches address the most common issues:
High background in Western blots:
Increase blocking concentration (try 5% BSA instead of milk)
Add 0.1-0.3% Tween-20 to washing buffer
Decrease primary antibody concentration
Perform additional washing steps
Weak or no signal detection:
Increase antibody concentration or incubation time
Check protein extraction efficiency
Verify transfer efficiency using Ponceau S staining
Test with positive control samples
Ensure target protein isn't degraded during preparation
Non-specific bands:
Increase blocking stringency
Use more diluted antibody solution
Add competitive blocking with recombinant proteins
Try gradient gels to improve separation
Inconsistent results:
Standardize protein extraction methods
Control for post-translational modifications
Avoid repeated freeze-thaw cycles of antibody
Each of these approaches requires systematic testing to determine optimal conditions for specific experimental setups.
Validation of ATL74 antibody specificity is crucial for reliable research outcomes. Recommended validation strategies include:
Positive and negative control samples:
Use wild-type Arabidopsis thaliana tissues as positive controls
Use atl74 mutant or knockout lines as negative controls
Include tissues from other plant species to test cross-reactivity
Peptide competition assay:
Pre-incubate antibody with excess immunizing peptide
Compare signal between competed and non-competed antibody
Specific signals should be significantly reduced in the competed sample
Recombinant protein testing:
Use purified recombinant ATL74 protein at known concentrations
Create a standard curve to verify detection limits
Test related proteins to determine cross-reactivity profiles
Orthogonal validation methods:
Compare results with alternative antibodies if available
Correlate protein detection with mRNA expression data
Use mass spectrometry to confirm band identity in Western blots
These validation approaches provide multiple lines of evidence for antibody specificity and increase confidence in experimental results.
ATL74 antibody can be employed in several advanced methodological approaches to study protein-protein interactions within ubiquitination pathways:
Co-immunoprecipitation (Co-IP):
Use ATL74 antibody to pull down the target protein complex
Identify interacting partners through mass spectrometry or Western blotting
Verify interactions with reciprocal Co-IP using antibodies against partner proteins
Include appropriate controls: IgG control, input samples, and lysates from knockout plants
Proximity Ligation Assay (PLA):
Combine ATL74 antibody with antibodies against suspected interaction partners
Visualize protein-protein interactions in situ with fluorescent probes
Quantify interaction signals using automated image analysis
Chromatin Immunoprecipitation (ChIP) for transcriptional regulation studies:
Use ATL74 antibody to investigate if the protein associates with specific DNA regions
Analyze ChIP samples by qPCR or sequencing to identify binding sites
Correlate with transcriptional data to assess functional significance
FRET-based interaction studies:
Use fluorescently labeled secondary antibodies for ATL74 and potential partners
Measure energy transfer as evidence of protein proximity
Calculate interaction distances based on FRET efficiency
These methodologies provide complementary approaches to characterize the role of ATL74 in ubiquitin-mediated protein degradation pathways in plants.
Investigating post-translational modifications (PTMs) of ATL74 requires sophisticated approaches:
Phosphorylation analysis:
Perform immunoprecipitation with ATL74 antibody followed by phospho-specific staining
Combine with phosphatase treatment as control
Use mass spectrometry to identify specific phosphorylation sites
Develop phospho-site specific antibodies for detailed studies
Ubiquitination detection:
Perform denaturing immunoprecipitation to preserve ubiquitin modifications
Probe with anti-ubiquitin antibodies after ATL74 immunoprecipitation
Use deubiquitinating enzyme treatments as controls
Apply targeted mass spectrometry to identify modified lysine residues
SUMOylation and other modifications:
Adapt immunoprecipitation protocols with modification-specific lysis buffers
Use modification-specific antibodies (anti-SUMO, etc.) for detection
Apply proteomic approaches to identify modification sites
PTM Analysis Workflow for ATL74:
| Step | Method | Analytical Technique | Expected Outcome |
|---|---|---|---|
| Initial detection | Western blot with ATL74 antibody | Band shift analysis | Identification of modified forms |
| Enrichment | Immunoprecipitation | SDS-PAGE followed by Western blot | Isolation of modified protein |
| Modification typing | Western blot | Probing with modification-specific antibodies | Identification of modification type |
| Site identification | Proteolytic digestion | LC-MS/MS analysis | Mapping of exact modification sites |
| Functional validation | Mutagenesis | Phenotypic/interaction assays | Determination of PTM significance |
These approaches enable comprehensive characterization of ATL74's post-translational regulation in plant biological processes.
When analyzing ATL74 expression data across tissues and developmental stages, consider these methodological approaches:
Quantitative analysis framework:
Normalize ATL74 signal to appropriate housekeeping proteins (e.g., actin, tubulin)
Use relative quantification across samples rather than absolute values
Apply statistical analysis (ANOVA, t-tests) to determine significant differences
Create expression profiles across developmental stages with appropriate biological replicates
Tissue-specific expression interpretation:
Compare expression profiles to transcriptomic databases for correlation
Consider tissue-specific post-translational modifications that may affect antibody binding
Analyze subcellular localization in different tissues using fractionation techniques
Correlate expression patterns with known developmental and stress-response pathways
Methodological considerations for developmental studies:
Maintain consistent sampling protocols across developmental stages
Document environmental conditions that may influence expression
Consider diurnal variations in protein expression levels
Use time-course experiments to capture dynamic expression changes
Integration with functional data:
Correlate expression patterns with phenotypic observations
Compare with expression patterns of known interaction partners
Relate to known biological pathways involving E3 ubiquitin ligases
This systematic approach helps distinguish between biologically significant variations and technical artifacts in expression data.
Integrating bioinformatic analyses with experimental data from ATL74 antibody studies provides deeper biological insights:
Sequence analysis and structural prediction:
Identify conserved domains and motifs in ATL74 protein
Predict protein structure using homology modeling
Analyze potential functional sites through conservation analysis
Predict PTM sites and compare with experimental findings
Interactome analysis:
Use protein-protein interaction databases to predict ATL74 interaction networks
Apply gene ontology (GO) enrichment analysis to identify biological processes
Construct network models incorporating experimental interaction data
Identify hub proteins and key regulatory nodes
Comparative genomics:
Analyze ATL74 orthologs across plant species
Identify conserved regulatory elements in promoter regions
Perform phylogenetic analysis to understand evolutionary relationships
Compare expression patterns across species when data is available
Integration with transcriptomics data:
Correlate protein levels (detected by ATL74 antibody) with mRNA expression
Identify discrepancies that may indicate post-transcriptional regulation
Analyze co-expressed genes for functional associations
Apply machine learning approaches to predict regulatory relationships
These computational approaches provide a framework for interpreting antibody-based experimental data within broader biological contexts.
ATL74 antibody can be strategically integrated into cutting-edge plant research through several methodological adaptations:
Single-cell protein analysis:
Optimize ATL74 antibody for mass cytometry (CyTOF) applications
Develop fluorescent-conjugated versions for single-cell Western blotting
Adapt for microfluidic antibody-based detection systems
Integrate with single-cell proteomics workflows
Live-cell imaging applications:
Fragment antibody preparation for cell-penetrating formats
Generate Fab fragments or nanobodies based on ATL74 antibody
Develop fluorescently tagged antibody derivatives for in vivo tracking
Optimize for super-resolution microscopy techniques
Integration with CRISPR-based approaches:
Combine with CRISPR knockouts for validation studies
Use with tagged CRISPR-modified ATL74 for functional studies
Apply in screening pipelines for identifying regulatory factors
High-throughput phenotyping:
Adapt for automated immunoassay platforms
Develop for plant tissue microarray applications
Integrate with robotics-based screening methods
Combine with image-based phenotyping technologies
These adaptations position ATL74 antibody research at the forefront of plant molecular biology and functional genomics.
Several methodological strategies can address existing knowledge gaps and contradictions in ATL74 functional studies:
Conditional expression systems:
Develop inducible ATL74 expression lines
Create tissue-specific knockdown/overexpression systems
Apply temperature-sensitive or chemically-regulated systems
Use these systems with ATL74 antibody to track protein dynamics
Structure-function relationship studies:
Generate domain-specific antibodies to complement the full-length ATL74 antibody
Create systematic mutant libraries targeting specific protein regions
Combine with in vivo activity assays to correlate structure with function
Apply hydrogen-deuterium exchange mass spectrometry for conformational studies
Comprehensive interactome mapping:
Perform systematic yeast two-hybrid or split-ubiquitin screens
Apply proximity-dependent biotin identification (BioID) with ATL74 as bait
Use quantitative proteomics to identify condition-dependent interactions
Develop computational models integrating all interaction data
Environmental response profiling:
Study ATL74 protein levels across diverse stress conditions
Analyze post-translational modification patterns under different stimuli
Identify condition-specific interaction partners
Correlate with phenotypic outcomes in various ecological contexts
These approaches provide a framework for resolving conflicting data and developing a unified model of ATL74 function in plant biology.