DDX5 (also known as p68) is an ATP-dependent RNA helicase and member of the DEAD-box family characterized by a conserved Asp-Glu-Ala-Asp (DEAD) motif. With a molecular weight of approximately 68-70 kDa, DDX5 plays critical roles in:
Alternative regulation of pre-mRNA splicing
Transcriptional co-regulation with multiple partners including androgen receptor (AR), p53/TP53, MYOD1, and RUNX2
miRNA processing
Cell cycle regulation and proliferation
DDX5 has emerged as a significant research target due to its frequent overexpression in multiple cancers including breast, colon, and prostate cancer .
Based on manufacturer validations and published research, DDX5 antibodies have been successfully used in:
| Application | Common Dilutions | Validated Cell/Tissue Types |
|---|---|---|
| Western Blot (WB) | 1:500-1:2000 | HepG2, HeLa, A431, NIH/3T3, MCF-7, K562 |
| Immunohistochemistry (IHC) | 1:20-1:1600 | Human breast cancer tissue, mouse liver tissue, rat kidney tissue |
| Immunofluorescence (IF) | 1:50-1:500 | HepG2 cells |
| Immunoprecipitation (IP) | 0.5-4.0 μg per 1-3 mg lysate | HeLa cells |
When selecting DDX5 antibodies, researchers should consider the specific application and target species, as reactivity varies between products .
For optimal performance and longevity:
Store at -20°C for long-term storage
Aliquot to prevent repeated freeze-thaw cycles, which can damage antibody quality
Most commercial DDX5 antibodies are supplied in PBS with 0.02% sodium azide and 50% glycerol at pH 7.3
Some formulations may contain BSA (0.1%) for additional stability
Maintain refrigerated at 2-8°C for up to 2 weeks during active use periods
When designing experiments with DDX5 antibodies, incorporate these essential controls:
Positive Controls: Use cell lines with confirmed DDX5 expression such as HeLa, HepG2, NIH/3T3, or MCF-7 cells. Western blot analysis consistently shows DDX5 at approximately 68-70 kDa in these cell lines .
Knockdown Validation: siRNA-mediated DDX5 knockdown experiments serve as critical specificity controls. For example, siDDX5 design can use sequences such as:
Loading Controls: For Western blot applications, use appropriate housekeeping proteins when quantifying DDX5 expression levels.
Negative Controls: Include normal IgG (matching the host species of your DDX5 antibody) for IP experiments to identify non-specific binding.
For robust and reproducible results, optimization of DDX5 antibody dilutions is essential:
| Application | Starting Dilution | Optimization Approach |
|---|---|---|
| Western Blot | 1:1000 | Perform a dilution series (e.g., 1:500, 1:1000, 1:2000) using a consistent amount of protein lysate from a positive control cell line |
| IHC | 1:100 | Test multiple dilutions with antigen retrieval using both TE buffer (pH 9.0) and citrate buffer (pH 6.0) to determine optimal conditions |
| IF | 1:200 | Begin with manufacturer's recommended dilution and adjust based on signal-to-noise ratio |
| IP | 2 μg per 1 mg lysate | Titrate antibody amount against fixed quantity of protein lysate to achieve optimal pull-down |
Remember that sample-dependent variation may require adjustment of these starting recommendations .
DDX5 has been implicated in cancer cell proliferation through multiple mechanisms:
Cell Cycle Regulation: DDX5 depletion impairs G1-to-S phase progression in various cancer cell lines. Experimental approach:
Synchronized cell culture with serum starvation (48h) followed by serum reintroduction
Monitor cell cycle progression via flow cytometry after DDX5 knockdown
Western blot analysis of cell cycle markers (Cyclins, RB phosphorylation)
Results show DDX5-depleted cells progress slower into S-phase than control cells
Transcriptional Regulation: DDX5 directly regulates DNA replication factor expression by promoting RNA Polymerase II recruitment to E2F-regulated gene promoters. Methodology:
Cancer-Specific Dependency: Breast cancer cells with DDX5 gene amplification show heightened sensitivity to DDX5 depletion compared to normal breast epithelial cells. Experimental approach:
Research indicates DDX5 plays a crucial role in acute promyelocytic leukemia (APL), a subtype of AML:
Expression Analysis:
Functional Studies:
Mechanism Investigation:
DDX5 functions through interactions with multiple protein partners. These can be studied using:
Co-Immunoprecipitation (Co-IP):
Use validated DDX5 antibodies (e.g., 10804-1-AP or 26385-1-AP) for IP at 0.5-4.0 μg per 1-3 mg total protein lysate
Include RNase treatment controls to distinguish RNA-dependent from direct protein interactions
Western blot analysis of precipitated complexes for known or suspected interaction partners
Surface Plasmon Resonance (SPR):
Proximity Ligation Assay (PLA):
DDX5 can sometimes appear as multiple bands or at slightly different molecular weights (65-70 kDa) due to:
Post-translational modifications: DDX5 undergoes phosphorylation, sumoylation, and ubiquitination which can alter its migration pattern
Alternative splicing: DDX5 exists in multiple isoforms that may be differentially expressed across cell types
Proteolytic processing: Sample preparation conditions can affect protein integrity
Recommended approach when observing multiple bands:
Include positive control lysates from well-characterized cell lines (HeLa, HepG2)
Use fresh protease inhibitors during sample preparation
Consider phosphatase inhibitors if studying phosphorylated forms
Validate using knockdown experiments to confirm which bands represent specific DDX5 signals
Researchers have reported difficulties in achieving sufficient overexpression of DDX5:
Tight regulation: DDX5 expression appears to be tightly controlled in cells, making it challenging to achieve substantial overexpression
Toxicity: High levels of exogenous DDX5 may be toxic to some cell types
Technical approaches:
Alternative approaches:
Use inducible expression systems to achieve controlled expression levels
Consider cell-specific optimization of transfection conditions
Employ CRISPR-based approaches for endogenous tagging rather than overexpression
DDX5 and DDX17 share considerable sequence identity in their helicase core and can interact in cells:
Antibody selection: Choose antibodies raised against C-terminal regions (amino acids 491-618) where sequence divergence between DDX5 and DDX17 is greatest
Validation approaches:
Perform parallel knockdown experiments targeting DDX5 and DDX17 individually
Use recombinant protein controls of both DDX5 and DDX17 on Western blots
Cross-validate with multiple antibodies targeting different epitopes
Mass spectrometry validation: For IP experiments, consider mass spectrometry analysis of immunoprecipitated proteins to confirm specificity
DDX5 appears to be a promising therapeutic target and diagnostic marker for several cancer types:
Targeted therapy development:
DDX5-targeting therapeutic antibodies (like 2F5) show selective toxicity against APL cells while sparing normal neutrophils
DDX5 amplification in breast cancer creates a potential vulnerability that could be exploited therapeutically
DDX5 antibodies can be used to screen for small molecule inhibitors of DDX5 function through competition assays
Biomarker development:
Mechanism investigation:
While DDX5's transcriptional co-regulator function is well-documented, its direct roles in RNA processing require further investigation:
Pre-mRNA splicing:
miRNA processing:
Circadian rhythm regulation: