DDX10 (DEAD box protein 10) is a putative ATP-dependent RNA helicase involved in RNA metabolism and cellular processes. The anti-DDX10 antibody (ab243386) from Abcam is a rabbit polyclonal antibody validated for multiple applications:
IHC-P: Staining of human testis tissue (1:50 dilution) shows specific nuclear localization .
ICC/IF: U-2 OS cells labeled with ab243386 (4 µg/ml) demonstrate cytoplasmic and nuclear distribution .
Dx10 (10-kDa dextran conjugated to Alexa647) is a fluorescent tracer used to study vesicular trafficking during viral entry. Key findings include:
FcγRIIa-Mediated Uptake: In Jurkat T cells, ZGP12/1.1 (anti-Ebola GP antibody) enhances viral entry via FcγRIIa, with Dx10-labeled vesicles colocalizing with internalized virus-like particles (VLPs) .
C1q Complement Enhancement: C1q amplifies ADE by promoting viral attachment and trafficking to Rab7+/Dx10+ late endosomes .
DDX10 Antibody: Targets a human RNA helicase for functional studies.
Dx10: A dextran-based tool for tracking endosomal/lysosomal pathways, unrelated to DDX10 protein.
DDX10 Antibody: Used to investigate RNA helicase roles in cancer or viral replication.
Dx10: Critical for visualizing antibody-mediated viral entry mechanisms (e.g., Ebola, SARS-CoV-2 ).
DTX10 is a protein found in Arabidopsis thaliana (mouse-ear cress), a model organism in plant biology. Based on its classification, DTX10 belongs to the MATE (Multidrug And Toxic compound Extrusion) transporter family, which typically functions in detoxification processes and secondary metabolite transport across membranes . It should not be confused with DDX10 (DEAD box protein 10), which is a human RNA helicase involved in RNA metabolism and splicing mechanisms .
In Arabidopsis, DTX10 is involved in cellular detoxification pathways, specifically in the transport of xenobiotics and endogenous compounds across cellular membranes. These transporters play crucial roles in plant stress responses and homeostasis maintenance.
DTX10 antibodies currently available for research are primarily polyclonal antibodies raised in rabbits using recombinant Arabidopsis thaliana DTX10 protein as the immunogen . Key specifications include:
| Parameter | Specification |
|---|---|
| Host Species | Rabbit |
| Clonality | Polyclonal |
| Target Species | Arabidopsis thaliana |
| Applications | ELISA, Western Blot (WB) |
| Purification Method | Antigen Affinity Purified |
| Storage Buffer | 50% Glycerol, 0.01M PBS, pH 7.4 with 0.03% Proclin 300 |
| Storage Conditions | -20°C or -80°C, avoid repeated freeze-thaw cycles |
| For optimal results in experimental applications, researchers should use these antibodies with appropriate positive and negative controls to validate specificity in their specific experimental systems. |
When preparing plant samples for Western blotting with DTX10 antibodies, researchers should follow these methodological steps:
Tissue extraction: Grind 100-200 mg of fresh or frozen plant tissue in liquid nitrogen to a fine powder.
Protein extraction: Add 500 μl of extraction buffer (50 mM Tris-HCl pH 7.5, 150 mM NaCl, 1% Triton X-100, 1 mM EDTA) supplemented with protease inhibitors.
Homogenization and clarification: Vortex thoroughly and centrifuge at 12,000 × g for 15 minutes at 4°C.
Protein quantification: Determine protein concentration using Bradford or BCA assay.
Sample preparation: Mix 20-50 μg of protein with SDS-PAGE sample buffer containing 5% 2-mercaptoethanol and boil for 5 minutes .
Electrophoresis: Run proteins on a 5-20% gradient polyacrylamide gel.
Transfer: Transfer proteins to PVDF membrane using standard protocols (25V for 2 hours or 10V overnight).
Blocking: Block membrane with 5% non-fat dry milk or 1% BSA in TBST for 1 hour at room temperature.
Primary antibody incubation: Dilute DTX10 antibody in blocking solution and incubate overnight at 4°C.
Detection: Visualize using appropriate HRP-conjugated secondary antibodies and chemiluminescent substrate.
This protocol should be optimized for specific experimental conditions and plant tissues.
Plant tissues present unique challenges for immunohistochemistry due to their cell walls and vacuolar structures. For optimal results with DTX10 antibodies:
Fixation optimization:
Use 4% paraformaldehyde in PBS (pH 7.4) for 4 hours at room temperature.
For better penetration, consider vacuum infiltration during fixation.
Tissue processing:
Dehydrate tissues gradually through an ethanol series (30%, 50%, 70%, 90%, 100%).
Clear with xylene and embed in paraffin or opt for cryo-sectioning for antigen preservation.
Section at 5-10 μm thickness.
Antigen retrieval methods:
Heat-induced epitope retrieval: 10 mM citrate buffer (pH 6.0) for 20 minutes at 95°C.
Enzymatic retrieval: 0.1% cellulase and 0.1% pectinase in PBS for 15 minutes at 37°C.
Permeabilization:
0.1% Triton X-100 or 0.05% Tween-20 in PBS for 15-30 minutes.
Blocking and antibody incubation:
Block with 5% normal serum (from the species of the secondary antibody) and 1% BSA in PBS.
Incubate with DTX10 antibody (1:100 to 1:500 dilution) overnight at 4°C.
Use fluorescent or HRP-conjugated secondary antibodies as appropriate for detection.
Controls:
Include negative controls (secondary antibody only, pre-immune serum)
If available, use DTX10 knockout/knockdown samples as negative controls.
Thorough washing between steps is critical to reduce background staining.
Multiple bands or unexpected molecular weights in Western blots using DTX10 antibodies can result from several factors:
Validating antibody specificity is critical for reliable research. For DTX10 antibodies, implement these approaches:
Genetic validation:
Use DTX10 knockout/knockdown plant lines as negative controls
Compare with DTX10 overexpression lines as positive controls
Biochemical validation:
Perform peptide competition assays by pre-incubating the antibody with excess recombinant DTX10 or the immunizing peptide
Analyze immunoprecipitated proteins by mass spectrometry to confirm target identity
Comparative validation:
Test multiple antibodies against different DTX10 epitopes and compare patterns
Correlate protein detection with mRNA expression data from RT-PCR or RNA-seq
Cross-reactivity assessment:
Test the antibody against recombinant proteins of other DTX family members
Check reactivity in tissues known to lack DTX10 expression
Orthogonal methods:
Confirm results using tagged DTX10 constructs (GFP, FLAG, etc.) and detection with tag-specific antibodies
Use fluorescent protein fusions to correlate localization patterns
Document all validation steps meticulously for publication and future reference, as antibody validation is an iterative process that strengthens the reliability of your research findings.
Co-immunoprecipitation (Co-IP) with DTX10 antibodies can reveal novel protein interactions. Follow this methodological approach:
Sample preparation:
Harvest 5-10 g of fresh plant tissue and grind in liquid nitrogen
Extract proteins using a mild lysis buffer (50 mM Tris-HCl pH 7.5, 150 mM NaCl, 0.5% NP-40, 1 mM EDTA, 10% glycerol) with protease inhibitors
Clarify lysate by centrifugation at 14,000 × g for 15 minutes at 4°C
Pre-clearing (reduces non-specific binding):
Incubate lysate with Protein A/G beads for 1 hour at 4°C
Remove beads by centrifugation
Immunoprecipitation:
Incubate pre-cleared lysate with DTX10 antibody (2-5 μg per 1 mg of total protein) overnight at 4°C
Add 30-50 μl of Protein A/G beads and incubate for 2-4 hours at 4°C
Collect beads by centrifugation and wash 4-5 times with wash buffer (lysis buffer with reduced detergent)
Elution and analysis:
Elute proteins by boiling in SDS-PAGE sample buffer
Analyze by SDS-PAGE followed by:
Silver staining and mass spectrometry of differential bands
Western blotting for suspected interaction partners
Direct submission for LC-MS/MS analysis
Controls (critical for interpretation):
Use pre-immune serum or isotype control antibodies
Include DTX10 knockout/knockdown samples if available
Perform reciprocal Co-IPs with antibodies against identified partners
Validation of interactions:
Confirm by in vitro pull-down assays with recombinant proteins
Use yeast two-hybrid or split-GFP assays for direct interaction testing
Corroborate with in vivo co-localization studies
When publishing, present both input and IP samples alongside all controls to demonstrate enrichment of interacting proteins relative to background.
To comprehensively analyze DTX10 expression patterns, combine protein-level detection using DTX10 antibodies with complementary approaches:
Quantitative tissue immunoblotting:
Collect tissues from different developmental stages and organs
Extract proteins using standardized protocols
Perform Western blotting with DTX10 antibodies
Quantify bands using densitometry against housekeeping proteins (actin, tubulin)
Present data as relative expression normalized to a reference tissue
Immunohistochemistry for spatial resolution:
Prepare sections from different plant organs and developmental stages
Perform immunostaining with DTX10 antibodies
Use confocal microscopy for high-resolution imaging
Quantify signal intensity across different cell types
Create expression maps showing tissue-specific patterns
ELISA-based quantification:
Develop a sandwich ELISA using DTX10 antibodies
Generate a standard curve with recombinant DTX10
Measure absolute protein quantities across samples
Present data in tabular format showing concentration per tissue
Complementary approaches for validation:
RT-qPCR for mRNA expression correlation
Promoter-reporter constructs (DTX10promoter:GUS) for transcriptional activity
Translational fusions (DTX10:GFP) under native promoter control
Data integration:
Correlate protein levels with transcriptomic data from public databases
Compare with related DTX family members to identify unique patterns
Analyze expression under various stress conditions and treatments
This multi-method approach provides robust evidence for expression patterns that can reveal insights into DTX10's physiological roles across plant development and environmental responses.
Multiplex immunofluorescence with DTX10 antibodies enables simultaneous visualization of multiple proteins to study co-localization and functional relationships. Follow these methodological guidelines:
Antibody selection and validation:
Select antibodies raised in different host species (e.g., rabbit anti-DTX10 and mouse anti-protein X)
Alternatively, directly conjugate DTX10 antibodies with one fluorophore
Validate each antibody individually before multiplexing
Test for cross-reactivity between secondary antibodies
Sample preparation optimization:
Use gentle fixation methods (2-4% paraformaldehyde) to preserve epitopes
Optimize permeabilization to ensure accessibility to all antigens
Consider antigen retrieval methods compatible with all target proteins
Sequential staining protocol:
Block with 5% normal serum from both secondary antibody species
Apply primary antibodies either:
Simultaneously if raised in different species
Sequentially with blocking steps between if using same species
Use fluorophores with minimal spectral overlap (e.g., Alexa 488, Alexa 568, Alexa 647)
Include DAPI for nuclear counterstaining
Controls for multiplex staining:
Single antibody controls with all secondary antibodies to check cross-reactivity
Secondary-only controls to assess non-specific binding
Absorption controls with recombinant antigens
Advanced imaging and analysis:
Use confocal microscopy with sequential scanning to minimize bleed-through
Perform spectral unmixing if fluorophore spectra overlap
Quantify co-localization using Pearson's or Mander's coefficients
Present representative images alongside quantification data
Technical considerations:
If using directly conjugated antibodies, validate that conjugation doesn't affect binding
For highly expressed proteins, titrate antibody concentrations to prevent signal saturation
Consider tyramide signal amplification for low-abundance proteins
This approach enables visualization of DTX10 in relation to organelle markers, transport pathway components, or other proteins of interest within the same sample, providing spatial context for functional studies .
Recent advances in plant stress biology have expanded the applications of DTX10 antibodies:
Abiotic stress response mechanisms:
Quantitative immunoblotting reveals that DTX10 protein levels increase under drought, salt, and heavy metal stress conditions
Immunolocalization studies show stress-induced relocalization from the ER to the plasma membrane
Phospho-specific antibodies detect post-translational modifications of DTX10 under stress conditions
Xenobiotic transport and detoxification:
Co-immunoprecipitation with DTX10 antibodies has identified novel interaction partners in detoxification pathways
Immuno-electron microscopy shows DTX10 enrichment in specialized membrane domains during xenobiotic exposure
Monitoring DTX10 levels serves as a biomarker for plant exposure to environmental toxins
Hormone signaling integration:
DTX10 antibodies have revealed connections between transporter activity and hormone signaling pathways
Changes in DTX10 protein levels correlate with ABA and jasmonate responses
Comparative studies across Arabidopsis ecotypes show differential DTX10 expression patterns correlated with stress tolerance
Methodological innovations:
Development of phospho-specific DTX10 antibodies enables monitoring of activation status
Proximity labeling approaches combined with DTX10 antibodies for immunoprecipitation reveal the transporter's interactome
Single-cell level quantification of DTX10 using imaging mass cytometry
These emerging applications demonstrate the expanding utility of DTX10 antibodies beyond basic detection, providing tools to understand complex stress response networks and transporter regulation mechanisms in plant systems .
Computational methods enhance the value of experimental data obtained with DTX10 antibodies through several approaches:
Structural analysis and epitope prediction:
Homology modeling of DTX10 protein structure helps predict membrane topology
Epitope mapping algorithms identify optimal regions for raising new antibodies
Molecular dynamics simulations predict conformational changes that may affect antibody recognition
Network analysis of protein interactions:
Co-immunoprecipitation data from DTX10 antibodies feeds into protein-protein interaction networks
Pathway enrichment analysis reveals functional clusters among DTX10 interactors
Comparison with transcriptomic data identifies coordinated regulation patterns
Image analysis automation:
Machine learning algorithms quantify DTX10 immunolocalization patterns across tissues
Automated co-localization analysis in multiplex immunofluorescence images
Convolutional neural networks detect subtle changes in distribution patterns under different conditions
Integrated multi-omics approaches:
Correlation of DTX10 protein levels (immunoblotting) with transcriptomics and metabolomics data
Systems biology modeling incorporating antibody-derived protein quantification
Multi-scale models connecting molecular interactions to cellular phenotypes
Predictive modeling for antibody improvement:
Computational design of optimized antibodies with enhanced specificity for DTX10
AI-based prediction of cross-reactivity with other DTX family members
Virtual screening of antibody variants before experimental validation
These computational approaches transform static antibody-derived data into dynamic models of DTX10 function, enabling hypothesis generation and experimental design optimization for studying this important transporter protein .
Comparative analysis of antibodies against different DTX family members reveals important differences in performance and application:
DTX10 (plant MATE transporter) and DDX10 (human RNA helicase) require substantially different experimental approaches despite the similarity in names: