DLX1 is a 27 kDa nuclear protein encoded by the DLX1 gene (chromosome 2q31.1) and belongs to the DLX family of homeodomain transcription factors . The DLX1 antibody is typically a monoclonal (e.g., L43/40 clone) or polyclonal IgG raised against synthetic peptides spanning amino acids 53–74 of human DLX1 . It is purified via Protein A chromatography and conjugated with fluorophores like FL550 for imaging .
DLX1 regulates embryonic development, particularly craniofacial patterning and GABAergic interneuron differentiation . In cancer, it is implicated in tumor aggressiveness via pathways such as TGF-β/SMAD4 (ovarian cancer) and ERG-mediated signaling (prostate cancer) . High DLX1 expression correlates with poor prognosis in lung adenocarcinoma and metastatic prostate cancer .
Lung Adenocarcinoma: DLX1 overexpression correlates with tumor progression and immune cell infiltration .
Prostate Cancer: DLX1 is upregulated in TMPRSS2-ERG fusion-positive tumors and regulates epithelial-to-mesenchymal transition (EMT) .
Ovarian Cancer: DLX1 promotes metastasis via TGF-β signaling .
GABAergic Neurons: DLX1 knockdown disrupts interneuron differentiation in the forebrain .
Craniofacial Development: DLX1 mutations are linked to congenital malformations (e.g., Split-Hand/Foot Malformation 5) .
DLX1 serves as a prognostic biomarker in lung adenocarcinoma (independent of tumor stage) and a diagnostic marker for prostate cancer . Its expression levels may predict therapeutic responses to BET inhibitors in metastatic castration-resistant prostate cancer .
Cross-reactivity: While no cross-reactivity is reported , specificity in complex tissues (e.g., tumor microenvironments) requires validation.
Therapeutic Targeting: DLX1 inhibition shows promise in preclinical models but awaits clinical translation .
Optimization: Antibody performance varies by assay (e.g., IHC requires antigen retrieval with TE buffer) .
DLX1 is a homeobox transcription factor belonging to the DLX family that plays essential roles in embryonic development. It is particularly critical for the production of forebrain GABAergic interneurons during embryonic development. The DLX family of homeobox transcription factors (including DLX1, DLX2, DLX5, and DLX6) are expressed in overlapping domains at different developmental stages of cell differentiation in the subpallium and control the differentiation of GABAergic neurons. DLX1 also appears to have roles in craniofacial patterning and has been implicated in various cancer types .
DLX1 is characterized by the following molecular properties:
Full name: distal-less homeobox 1
Calculated molecular weight: 255 amino acids, 27 kDa
Observed molecular weight in laboratory applications: 27 kDa
GenBank accession number: BC036189
Gene ID (NCBI): 1745
Based on validated research applications, DLX1 antibody has been tested for reactivity with the following samples:
| Tested Reactivity | Species |
|---|---|
| Confirmed reactivity | Human, mouse, rat |
| Cited reactivity in publications | Human, mouse |
For Western Blot applications, positive detection has been confirmed in human brain tissue, A375 cells, and HeLa cells. For immunohistochemistry, positive detection has been reported in mouse brain tissue .
The following dilution guidelines have been established for DLX1 antibody applications:
| Application | Recommended Dilution |
|---|---|
| Western Blot (WB) | 1:500-1:1000 |
| Immunohistochemistry (IHC) | 1:50-1:500 |
It is important to note that these are general guidelines, and the antibody should be titrated in each specific testing system to obtain optimal results, as performance can be sample-dependent .
For optimal immunohistochemical detection of DLX1, the suggested antigen retrieval method is using TE buffer at pH 9.0. As an alternative approach, antigen retrieval may also be performed with citrate buffer at pH 6.0. The choice between these methods may depend on tissue type and fixation conditions .
For proper maintenance of DLX1 antibody:
Store at -20°C
The antibody remains stable for one year after shipment when stored properly
Aliquoting is unnecessary for -20°C storage
The antibody is supplied in PBS with 0.02% sodium azide and 50% glycerol at pH 7.3
To ensure proper validation:
Include positive controls such as human brain tissue, A375 cells, or HeLa cells for Western blot applications
Use mouse brain tissue as a positive control for immunohistochemistry
Consider knockout validation approaches, such as performing DLX2 ChIP-seq on wild-type and DLX2-/- samples (as demonstrated in the literature for related DLX proteins)
Employ blocking peptides (the antigen used in antibody generation) as negative controls in ChIP-seq and other applications to confirm specificity
DLX1 antibody has been successfully used in ChIP-seq applications to study genome-wide DLX binding patterns. When designing ChIP experiments:
Ensure antibody specificity using appropriate controls, including IgG and blocking peptides specific to the DLX1 antigen
Generate biological replicates to confirm reproducibility of binding patterns
Consider using a tagged version of DLX1 (such as DLX1-FLAG) for enhanced specificity in pull-down experiments
Be aware that DLX1 binding often overlaps with other DLX family members (DLX2, DLX5), with correlation of normalized ChIP-seq signals showing pairwise r² values > 0.7
Consider analyzing different threshold levels (low, medium, and high affinities) for peak calling to identify both shared and unique binding sites
DLX1 antibody can reveal critical aspects of neurodevelopmental transcriptional regulation:
DLX transcription factors are master regulators of the developing vertebrate brain, driving forebrain GABAergic neuronal differentiation
ChIP-seq studies using DLX1 antibody can identify direct target genes and binding patterns throughout development
Temporal analysis across developmental stages (e.g., E11.5, E13.5, E16.5) reveals dynamic binding patterns that change during neuronal differentiation
Genome-wide binding analysis can identify chromatin states associated with DLX1 binding and regulatory element activity
Comparison of wild-type and Dlx1/2-/- tissues can identify regions with differential histone post-translational modification signals, providing insights into the functional consequences of DLX1 binding
Recent research has identified important interactions between DLX1 and chromatin modifiers:
Tandem mass spectrometry following DLX1-FLAG immunoprecipitation has identified interactions with components of the Nucleosome Remodeling and Deacetylase (NuRD) complex
Co-immunoprecipitation experiments with DLX1-FLAG and StrepII-tagged NuRD subunits in HEK-293T cells can validate these interactions
DLX1 specifically interacts with RBBP4 and RBBP7 components of the NuRD complex
These interactions are functionally important for decommissioning regulatory elements of genes such as Olig2, altering chromatin accessibility
For optimal detection of these interactions, cellular fractionation to remove cytoplasmic proteins and treatment of nuclear lysates with Benzonase to minimize DNA/RNA-mediated interactions are recommended
DLX1 has emerged as a potential biomarker with significant implications for cancer research:
DLX1 mRNA expression is significantly upregulated in lung adenocarcinoma (LUAD) compared to normal tissues
High DLX1 expression or promoter methylation is associated with worse prognosis in LUAD patients
DLX1 has been confirmed as an independent prognostic factor in LUAD through multivariate analysis
In addition to LUAD, DLX1 expression is significantly higher in tumor tissues compared to normal tissues across multiple cancer types
DLX1 may have diagnostic value, as demonstrated by ROC curve analysis and nomogram model analysis
Research has established important connections between DLX1 expression and immune cell infiltration:
The level of multiple immune cell infiltration is significantly associated with DLX1 expression in LUAD
Spearman correlation analysis can determine the relationship between DLX1 expression and immune cell infiltration
This correlation may have implications for immunotherapy responses and patient outcomes
The association between DLX1 and immune infiltration provides insights into potential mechanisms by which DLX1 influences tumor progression beyond its direct effects on cancer cells
DLX1 is involved in multiple signaling pathways relevant to cancer progression:
In LUAD, genes in the high DLX1 expression group are mainly enriched in cell cycle checkpoint, DNA replication, DNA repair, Fceri-mediated MAPK activation, TP53 activity regulation, and MET activation of PTK2-regulated signaling pathways
In ovarian cancer, DLX1 promotes aggressiveness by activating the TGF-β/SMAD4 signaling pathway
In prostate cancer, DLX1 functions as a β-catenin binding protein, and aberrant activation of β-catenin/TCF signaling promotes growth, migration, and invasion
These pathways can be analyzed through GO and KEGG pathway analysis of genes differentially expressed between high and low DLX1 expression groups
To validate DLX1 as a therapeutic target in cancer, researchers should consider:
Knockdown experiments: siRNA or shRNA targeting DLX1 has been shown to inhibit proliferation, migration, and invasion of LUAD cells
Functional assays: Cell proliferation, migration, and invasion assays following DLX1 manipulation
Prognostic analysis: Kaplan-Meier survival curves, univariate and multivariate Cox regression analyses to evaluate the association between DLX1 expression and patient outcomes
Logistic regression analysis to evaluate the relationship between DLX1 expression levels and clinicopathologic characteristics
Analysis of DLX1 mutation rates and their impact on prognosis using tools like cBioPortal
Evaluation of DNA methylation levels of DLX1 and the prognostic value of CpG islands using methods such as MethSurv
When faced with inconsistent results:
Verify antibody specificity using knockout controls when possible
Consider that DLX1 may have overlapping functions with other DLX family members (DLX2, DLX5, DLX6), which may complicate interpretation of results
Optimize antibody concentration through titration experiments specific to each application
Ensure proper antigen retrieval methods for IHC applications, testing both recommended methods (TE buffer pH 9.0 and citrate buffer pH 6.0)
Confirm appropriate positive controls are being used (human brain tissue, A375 cells, HeLa cells for WB; mouse brain tissue for IHC)