The DLX3 antibody is available in multiple formats, each optimized for specific experimental needs:
| Product | Host/Type | Reactivity | Applications | Molecular Weight (kDa) |
|---|---|---|---|---|
| Proteintech (13261-3-AP) | Rabbit Polyclonal | Human, Mouse | WB, IHC, IF, IP, CoIP, ELISA | 32–38 |
| Affinity Biosciences (AF0339) | Rabbit Polyclonal | Human, Mouse, Rat | WB, IHC, IF/ICC | 32 (calculated), 45 (observed) |
| Abcam (ab178428) | Rabbit Monoclonal | Human, Mouse, Rat | WB, IHC-P | 32 (predicted), 40 (observed) |
| DSHB (PCRP-DLX3-2C4) | Mouse Monoclonal | Human | WB, Microarray | 31.74 (calculated) |
Key differences include host species, epitope recognition, and observed molecular weights (e.g., 32–45 kDa due to post-translational modifications or antibody epitope binding).
DLX3 antibodies are validated for:
| Technique | Dilution Recommendations | Sample Types |
|---|---|---|
| Western Blot | 1:500–1:3000 (Proteintech) | JAR cells, mouse lung tissue |
| Immunohistochemistry | 1:20–1:200 (Proteintech) | Human lung cancer tissue |
| Immunofluorescence | 1:50–1:200 (Abcam) | HaCaT cells, mouse skin |
| Co-Immunoprecipitation | 1:50 (Abcam) | Mouse skin lysate |
Optimal antigen retrieval (e.g., TE buffer pH 9.0 for IHC) and blocking conditions (e.g., 5% NFDM/TBST) enhance specificity .
DLX3 antibodies have enabled key discoveries in cellular biology and disease mechanisms:
These studies highlight DLX3’s dual role as both a developmental regulator and a tumor suppressor.
DLX3 (Distal-less homeobox 3) is a critical transcription factor that plays decisive roles in the development of epithelium, hair, bone, tooth, and placental tissues. It participates in calcium-dependent epidermal differentiation processes and is essential for proper osteogenic differentiation. The significance of DLX3 extends across multiple developmental pathways, making it a valuable target for research in craniofacial development, bone biology, and dental research .
DLX3 is a protein with a calculated molecular weight of 32 kDa (287 amino acids), though it is typically observed between 32-38 kDa on SDS-PAGE. The protein contains important functional domains including a homeodomain for DNA binding. Various post-translational modifications affect DLX3, including phosphorylation (at S10 and Y98) and sumoylation (at K83 and K112), which researchers should consider when analyzing band patterns in experimental results .
DLX3 antibodies have been validated for multiple research applications:
| Application | Typical Dilution Range | Validated Cell/Tissue Types |
|---|---|---|
| Western Blot (WB) | 1:500-1:3000 | JAR cells, NCCIT cells, mouse lung tissue |
| Immunohistochemistry (IHC) | 1:20-1:200 | Human lung cancer tissue, dental tissues |
| Immunofluorescence (IF) | Varies by antibody | Dental follicle cells, osteoblasts |
| Immunoprecipitation (IP) | Varies by protocol | Various cell types in developmental studies |
| Co-Immunoprecipitation (CoIP) | Depends on experimental design | Used for protein-protein interaction studies |
| ELISA | Antibody-dependent | Various applications |
The optimal dilution should be determined experimentally for each research application .
To study DLX3 transcriptional activity in osteogenic differentiation:
Experimental approaches:
Overexpression studies using plasmid vectors (e.g., pDLX3)
Loss-of-function studies using DLX3-specific siRNA
Chromatin immunoprecipitation (ChIP) to identify direct binding targets
Key readouts:
ALP activity assays (both enzymatic activity and gene expression)
Mineralization assays (Alizarin Red staining)
qRT-PCR for osteogenic markers (RUNX2, ALP, ZBTB16, BSP)
Western blot analysis of osteogenic transcription factors
Controls:
Empty vector controls for overexpression studies
Non-specific siRNA for knockdown experiments
Multiple time points to capture the progression of differentiation
Research by Hassan et al. demonstrated that DLX3 directly binds to the promoters of osteogenic marker genes like RUNX2 and ZBTB16, as verified through ChIP assays. A dose-dependent regulation of RUNX2, ZBTB16, and BMP2 by DLX3 was also observed .
For studying DLX3-protein interactions:
Co-immunoprecipitation (CoIP):
Use tag-based systems (e.g., Flag-tagged DLX3 with HA-tagged interaction partners)
Employ antibodies specific to the tags or directly to DLX3
Include appropriate controls (IgG, empty vectors)
DNA-protein binding studies:
Electrophoretic Mobility Shift Assay (EMSA)
Use 10 fmol of radiolabeled probe and 2.5-5 μg of nuclear extract
For antibody immunoshift analysis, incubate 100-200 ng of antibody with nuclear extract
Protein domain mapping:
Generate deletion constructs to identify interaction domains
Create fusion proteins for yeast-based interaction studies
Validate interactions using reporter systems (e.g., GAL4-based systems)
Studies have used the yeast vector pGBT9 containing the GAL4 DNA binding domain to create GAL4 BD-Dlx3 fusion proteins for analyzing transactivation potential independently of direct DNA binding .
For effective ChIP experiments with DLX3 antibodies:
Experimental design:
Use cells with endogenous or overexpressed DLX3
Include appropriate negative controls (IgG, non-expressing cells)
Design primers targeting putative DLX3 binding sites
Protocol optimization:
Cross-link cells with 1% formaldehyde
Sonicate chromatin to fragments of 200-500 bp
Use 2-5 μg of DLX3 antibody per immunoprecipitation
Employ stringent washing conditions to reduce background
Data analysis:
Normalize to input controls
Compare enrichment to negative control regions
Validate findings with reporter assays
Hassan et al. successfully employed DLX3-specific ChIP assays to verify direct binding of DLX3 to the promoters of osteogenic marker genes RUNX2 and ZBTB16 after DLX3 overexpression in dental follicle cells (DFCs) .
When investigating DLX3's role in BMP signaling:
Technical approaches:
Western blot analysis for phosphorylated SMAD1 to monitor BMP pathway activation
Combined overexpression and silencing experiments for DLX3
BMP2 neutralizing antibody experiments to block pathway activation
Experimental conditions:
Compare dexamethasone-based differentiation with BMP2-induced differentiation
Monitor early time points (DLX3 is upregulated early in BMP2-induced differentiation)
Consider the dose-dependent relationship between BMP2 and DLX3
Data interpretation challenges:
Account for the feedback loop between DLX3 and BMP2
Consider threshold effects in DLX3 expression levels
Recognize that approximately 50% of regulated genes are contrarily regulated in DFCs after BMP2 supplementation versus DLX3 overexpression
Research has revealed a complex relationship where DLX3 overexpression activates the BMP pathway (shown by SMAD1 phosphorylation), while BMP2 supplementation increases DLX3 expression, suggesting a feedback mechanism between BMP2 signaling and DLX3 function .
For dental and craniofacial developmental research:
Tissue preparation:
For embryonic tissues: fixation in 4% PFA for 24 hours at 4°C
For immunohistochemistry: suggested antigen retrieval with TE buffer pH 9.0 or citrate buffer pH 6.0
Consider stage-specific expression patterns (e.g., DLX3 is expressed in both dental epithelium and mesenchyme at E14.5)
Detection strategies:
For co-localization studies, use Wnt1-cre:R26R reporter mice to trace neural crest-derived tissues
In dental tissues, compare epithelial versus mesenchymal expression patterns
Use developmental time points (E11.5-E14.5) for early tooth development studies
Validation approaches:
Confirm specificity with knockout or conditional knockout tissues
Use transcriptomic validation (qPCR) to correlate with protein data
Include peptide blocking controls to verify antibody specificity
Research using Wnt1-cre:Dlx3^F/LacZ conditional knockout mice demonstrated that Dlx3 deletion in neural crest-derived dental mesenchyme leads to major dentin defects, with immunocytochemical analysis validating the efficient deletion of Dlx3 in this dental compartment .
For bone developmental studies:
Model systems:
Consider conditional knockout models (e.g., Prx1-Cre for mesenchymal cells, OCN-Cre for osteoblasts)
Use both in vivo models and primary cell cultures (BMSCs, calvarial cells)
Include time course analyses for developmental progression
Analytical techniques:
µCT analysis for bone mass and architecture
Histomorphometry for cellular parameters
TRAP staining for osteoclast assessment
Mineral apposition rate measurements
Molecular readouts:
ALP activity assays for osteoblast function
qPCR for osteoblast markers (Runx2, Sp7, Alpl, Ibsp)
RNA-seq and ChIP-seq for genomic analyses
Research with DLX3 conditional knockout mice demonstrated increased bone mass accrual as early as 2 weeks of age, persisting throughout the lifespan due to increased osteoblast activity and bone matrix gene expression. RNA-seq and ChIP-seq analyses revealed that DLX3 regulates transcription factors crucial for bone formation, including Dlx5, Dlx6, Runx2, and Sp7 .
Common challenges and solutions:
Multiple bands in Western blot:
Cause: Post-translational modifications, alternative splicing, or degradation products
Solution: Include positive controls (recombinant protein), use phosphatase treatment to eliminate phosphorylation-dependent bands, include peptide competition assays
Variable staining patterns in IHC:
Cause: Fixation conditions, antigen retrieval methods, tissue-specific expression
Solution: Optimize antigen retrieval (try both TE buffer pH 9.0 and citrate buffer pH 6.0), titrate antibody concentration (1:20-1:200 range), include knockout tissue controls
Cross-reactivity with other DLX family members:
Cause: Homology between DLX family proteins
Solution: Verify antibody specificity using in vitro-transcribed and translated HD proteins, include peptide competition controls, validate with genetic models
Researchers should note that DLX3 antibodies may detect the protein in the 32-38 kDa range on SDS-PAGE, with some antibodies showing additional bands at ~40 kDa and ~60 kDa .
Validation strategies include:
Genetic approaches:
Use DLX3 knockout or knockdown models
Compare wild-type vs. DLX3-deleted tissues
Employ DLX3 overexpression systems
Biochemical validation:
Peptide competition assays
Preabsorption controls
Compare multiple antibodies targeting different epitopes
Application-specific validation:
For Western blot: Include recombinant DLX3 protein, size markers, and siRNA-treated samples
For IHC/IF: Process knockout and wild-type tissues in parallel
For ChIP: Include IgG controls and validate with reporter assays
Critical controls include using the immunizing peptide to block antibody binding, as demonstrated with Abcam antibody ab64953, where treatment with the immunizing peptide abolished the specific signal in both Western blot and immunohistochemistry applications .
For apoptosis and proliferation studies:
Proliferation assessment:
Compare cell proliferation after DLX3 overexpression and silencing
Use time-course studies to track effects
Combine with cell cycle analysis
Apoptosis detection:
Flow cytometry using FITC Annexin V
Analyze percentage of viable vs. apoptotic cells
Include apoptosis inducers (e.g., camptothecine) as positive controls
Molecular pathway analysis:
Western blot for pro-apoptotic (BAX) and anti-apoptotic (BCL2) proteins
qPCR for expression changes in apoptosis regulators
Combine with rescue experiments to confirm specificity
Research has shown that DLX3 silencing results in approximately 48% more apoptotic cells compared to controls, with a reduction of viable cells from 91.4% to 86.6%. Conversely, DLX3 overexpression reduced camptothecine-induced apoptosis by approximately 7-fold. These findings were supported by corresponding changes in BAX (pro-apoptotic) and BCL2 (anti-apoptotic) protein expression levels .
For transcriptional regulation studies:
Promoter analysis approaches:
Cloning conserved promoter regions into luciferase reporter vectors
Testing promoter activity with and without DLX3 expression
Mutating putative binding sites to confirm specificity
Expression systems:
Use tetracycline-inducible systems (e.g., Saos2-TetOff cells)
Include dose-response and time-course experiments
Normalize with appropriate controls (e.g., Renilla luciferase)
Binding site identification:
Perform ChIP-seq analysis to identify genome-wide binding sites
Validate with targeted ChIP-qPCR
Integrate with RNA-seq data to correlate binding with expression changes
Studies investigating DLX3's regulation of Dspp used a dual-luciferase reporter assay with the Saos2-TetOff osteosarcoma cell line. The researchers co-transfected cells with tetracycline-inducible DLX3 expression constructs, Dspp promoter-driven luciferase reporters, and Renilla luciferase control vectors to quantify the direct transcriptional effects of DLX3 .
For single-cell resolution studies:
Technical approaches:
Single-cell immunostaining protocols
Combining with lineage tracing methods
Integration with spatial transcriptomics
Analytical considerations:
Correlate protein expression with cell state markers
Track dynamic changes during developmental progression
Identify heterogeneity within seemingly homogeneous populations
Emerging applications:
High-dimensional cytometry with DLX3 antibodies
In situ hybridization combined with immunodetection
Live-cell imaging using tagged DLX3 validated against antibody staining
While the search results don't explicitly discuss single-cell applications, the validated use of DLX3 antibodies in diverse tissues and developmental contexts suggests their potential utility in emerging single-cell resolution studies to understand developmental heterogeneity and lineage progression .
For studying post-translational modifications:
Phosphorylation analysis:
Use phospho-specific antibodies where available
Employ phosphatase treatments as controls
Consider 2D gel electrophoresis to resolve phospho-isoforms
Sumoylation studies:
Verify sumoylation at K83 and K112 sites
Use mutational analysis of these residues
Include desumoylating enzyme treatments as controls
Integrated approaches:
Combine Western blot with mass spectrometry
Correlate modifications with functional outcomes
Consider context-dependent modification patterns
The search results indicate that DLX3 undergoes multiple post-translational modifications, including phosphorylation at S10 and Y98 sites and sumoylation at K83 and K112 sites. These modifications likely influence protein stability, localization, and transcriptional activity, highlighting important considerations for comprehensive functional studies .
Critical parameters include:
Sample preparation:
Validated cell types: JAR cells, NCCIT cells, mouse lung tissue
Use appropriate lysis buffers with protease inhibitors
Consider phosphatase inhibitors to preserve modification states
Protocol optimization:
Antibody dilution: 1:500-1:3000 (optimize for specific antibody)
Expected molecular weight: 32-38 kDa primary band
Include appropriate positive controls
Validation strategies:
Peptide competition controls
siRNA knockdown samples
Multiple antibodies targeting different epitopes
Western blot analyses typically show DLX3 as a band between 32-38 kDa, though additional bands at ~40 kDa and ~60 kDa have been observed with some antibodies, potentially representing post-translationally modified forms or splice variants .
A comprehensive experimental design should include:
Expression profiling:
qRT-PCR for mRNA expression
Western blot and immunostaining for protein localization
Developmental time course analysis
Functional manipulation:
siRNA knockdown or CRISPR-Cas9 deletion
Overexpression studies
Rescue experiments
Molecular target identification:
ChIP-seq for genome-wide binding sites
RNA-seq after manipulation of DLX3 levels
Validation of direct targets with reporter assays
Phenotypic analyses:
Cell-type specific assays (e.g., differentiation, proliferation)
Integration with known DLX3 functions in other tissues
In vivo validation where possible