The DTX1/DTX4 antibody is used to detect human DTX1 and DTX4 proteins. DTX4 is known to be involved in Notch signaling, acting as an ubiquitin ligase protein . The antibody MAB7157 from R&D Systems is specifically designed to target both DTX1 and DTX4 with high specificity and cross-reactivity .
This antibody is utilized in various research applications, including:
Western Blot: To detect DTX1/DTX4 in cell lysates.
Immunocytochemistry (ICC): For staining fixed cells to visualize DTX1/DTX4 localization.
Flow Cytometry: To analyze DTX1/DTX4 expression in cells.
TDP-43 (TAR DNA-binding protein 43) is a protein associated with neurodegenerative diseases like ALS and frontotemporal dementia. A validated pTDP-43 antibody has been developed to detect phosphorylated TDP-43, a key biomarker in ALS research .
DTX43 Antibody (product code CSB-PA874403XA01DOA) is a polyclonal antibody raised in rabbits against recombinant Arabidopsis thaliana DTX43 protein. It specifically recognizes the DTX43 protein from Arabidopsis thaliana (Mouse-ear cress), a model organism widely used in plant molecular biology research . This antibody is designed for research use only and is not intended for diagnostic or therapeutic applications.
DTX43 Antibody has been validated for multiple applications in plant research:
Enzyme-Linked Immunosorbent Assay (ELISA): For quantitative detection of DTX43 protein in plant extracts
Western Blot (WB): For qualitative identification and semi-quantitative analysis of DTX43 protein in plant tissue extracts
This versatility allows researchers to investigate protein expression patterns and compare protein levels across different experimental conditions.
Proper storage is critical for maintaining antibody function:
Store at -20°C or -80°C upon receipt
Avoid repeated freeze-thaw cycles by aliquoting into smaller volumes
The antibody is typically supplied in a storage buffer containing 50% glycerol, 0.01M PBS at pH 7.4, with 0.03% Proclin 300 as a preservative
When stored properly, the antibody remains stable for approximately one year after shipment
As DTX43 likely belongs to the MATE (Multidrug And Toxic compound Extrusion) family, the antibody can be used to study transport mechanisms through:
Subcellular localization studies: Combine immunofluorescence with markers for different membrane compartments to determine precise localization
Expression analysis under stress conditions: Use Western blot to monitor protein levels under various abiotic stresses, nutrient deficiencies, or toxin exposures
Co-immunoprecipitation: Employ the antibody to identify protein interaction partners involved in transport complexes
Comparative analysis across genotypes: Compare expression in wildtype vs. mutant plants to correlate protein levels with transport phenotypes
Rigorous controls ensure reliable and interpretable results:
| Control Type | Implementation | Purpose |
|---|---|---|
| Positive Control | Known DTX43-expressing tissue | Confirms antibody functionality |
| Negative Control | DTX43 knockout/knockdown tissue | Validates specificity |
| Loading Control | Parallel blotting with antibodies against housekeeping proteins (e.g., actin, tubulin) | Ensures equal loading and facilitates quantification |
| Peptide Competition | Pre-incubate antibody with immunizing peptide | Confirms binding specificity |
| Transfer Control | Ponceau S or similar staining | Verifies successful protein transfer |
When protein and transcript levels don't correlate, consider:
Technical verification:
Confirm antibody specificity using knockout lines
Verify primer specificity for transcript detection
Examine whether detection methods are within linear range
Post-transcriptional regulation analysis:
Investigate microRNA regulation of DTX43 mRNA
Assess transcript stability using actinomycin D treatment
Examine alternative splicing that might affect epitope presence
Protein stability assessment:
Test protein half-life using cycloheximide chase experiments
Investigate ubiquitination status using proteasome inhibitors
Examine post-translational modifications that might affect antibody recognition
Temporal resolution studies:
Implement time-course experiments to detect delays between transcription and translation
Sample at multiple timepoints after stimulus application
For maximum sensitivity and specificity:
Sample preparation:
Grind plant tissue in liquid nitrogen to a fine powder
Extract proteins in buffer containing appropriate detergents (1% Triton X-100 or 0.5% SDS) to solubilize membrane proteins
Include protease inhibitors to prevent degradation
Clear lysates by centrifugation (14,000 × g, 15 min, 4°C)
SDS-PAGE and transfer:
Load 20-50 μg total protein per lane
Separate on 10-12% SDS-PAGE gel
Transfer to PVDF membrane (optimal for hydrophobic proteins) at 100V for 1 hour or 30V overnight
Immunoblotting:
Block with 5% non-fat dry milk in TBST for 1 hour
Incubate with DTX43 Antibody (1:1000 dilution) overnight at 4°C
Wash 3 × 10 minutes with TBST
Incubate with HRP-conjugated anti-rabbit secondary antibody (1:5000) for 1 hour
Develop using ECL substrate and image
A comprehensive validation approach includes:
Genetic validation: Test antibody reactivity in:
Wild-type plants (positive signal expected)
DTX43 knockout/knockdown lines (absent/reduced signal)
DTX43 overexpression lines (enhanced signal)
Complementation lines (restored signal)
Biochemical validation:
Peptide competition assays
Pre-adsorption with plant extracts lacking DTX43
Immunoprecipitation followed by mass spectrometry identification
Cross-reactivity assessment:
Test against recombinant related proteins from the same family
Examine signal in species with varying sequence homology
When encountering background or non-specific signals:
Sample preparation optimization:
Test different extraction buffers
Add higher concentrations of reducing agents
Include additional washing steps during protein extraction
Blocking optimization:
Compare different blocking agents (milk, BSA, commercial blockers)
Increase blocking time (2-3 hours or overnight)
Add 0.1-0.3% Tween-20 to reduce hydrophobic interactions
Antibody conditions:
Increase antibody dilution (test 2-5× more dilute)
Prepare antibody in fresh blocking solution
Pre-adsorb with non-specific proteins
Washing stringency:
Increase number of washes (5-6 times instead of 3)
Extend washing time (15-20 minutes per wash)
Add higher concentrations of detergent (0.1-0.5% Tween-20)
Proper normalization ensures reliable quantitative analysis:
Loading control normalization:
Express results as DTX43/loading control ratio
Verify loading control stability under experimental conditions
Use multiple loading controls when possible
Multi-blot normalization:
Include common reference sample across all blots
Calculate relative expression compared to this reference
Consider using fluorescent detection for wider linear range
Statistical considerations:
Ensure analysis is performed within linear detection range
Include at least three biological replicates
Verify normal distribution before applying parametric statistics
Report both fold-change and statistical significance
Comparative visualization:
Present normalized data with appropriate error bars
Include representative blot images
Show individual data points when possible
The statistical approach should match your experimental design:
For comparing multiple treatments:
One-way ANOVA followed by post-hoc tests (Tukey's HSD, Bonferroni)
Non-parametric alternatives (Kruskal-Wallis) if data don't meet normality assumptions
For comparing treatment × tissue interactions:
Two-way ANOVA with interaction term
Mixed models if using repeated measures design
Planned contrasts for specific hypotheses
For time-course experiments:
Repeated measures ANOVA
Area under curve (AUC) analysis
Time-to-peak or peak amplitude comparisons
For correlation with physiological parameters:
Pearson or Spearman correlation coefficients
Multiple regression for complex relationships
Principal component analysis for multivariate data reduction
To establish meaningful correlations between protein levels and phenotypes:
Experimental design considerations:
Measure protein levels and phenotypes in the same experimental units
Include multiple independent transgenic or mutant lines
Implement time-course analyses to establish causality
Quantitative phenotyping approaches:
Use standardized growth and stress assays
Implement high-throughput imaging when possible
Consider both morphological and physiological parameters
Measure at multiple developmental stages
Statistical analysis methods:
Calculate correlation coefficients between protein levels and phenotypic traits
Use regression analysis to establish predictive relationships
Apply multivariate methods to identify patterns across multiple phenotypes
Consider non-linear relationships when appropriate
A multi-technique approach provides deeper insights:
| Technique Combination | Methodology | Research Value |
|---|---|---|
| Immunoprecipitation + Mass Spectrometry | Use antibody to pull down DTX43 and associated proteins, analyze by MS | Identifies interaction partners and post-translational modifications |
| Western Blot + Subcellular Fractionation | Separate cellular compartments, detect DTX43 in each fraction | Determines precise subcellular localization |
| Antibody Detection + Functional Transport Assays | Correlate protein levels with substrate transport measurements | Links expression levels to functional activity |
| Immunohistochemistry + in situ Hybridization | Compare protein localization with transcript patterns | Reveals tissue-specific post-transcriptional regulation |
Genetic approaches:
CRISPR/Cas9 knockout or knockdown of DTX43
Overexpression or complementation lines
Promoter-reporter fusions to compare with protein distribution
Imaging approaches:
Fluorescent protein tagging (e.g., GFP-DTX43 fusion)
Live-cell imaging to complement fixed-tissue immunolocalization
FRET/FLIM to investigate protein-protein interactions
Functional approaches:
Transport assays with isolated membrane vesicles
Electrophysiological measurements
Metabolite profiling to identify substrate accumulation/depletion
Computational approaches:
Structural modeling of DTX43 to predict functional domains
Sequence analysis to identify conserved regions across species
Pathway analysis to place DTX43 in broader biological context This FAQ collection provides methodological guidance for researchers at all levels of expertise working with DTX43 Antibody, from basic applications to advanced experimental design considerations. The information presented here reflects current best practices in antibody-based research techniques in plant biology.