DYNLT1 antibodies have been validated for multiple research applications including:
| Application | Recommended Dilution | Notes |
|---|---|---|
| Western Blot (WB) | 1:300-1:600 | Detected in human brain tissue, heart tissue, Sp2/0 cells |
| Immunoprecipitation (IP) | 0.5-4.0 μg for 1.0-3.0 mg of total protein lysate | Successfully used with mouse skeletal muscle tissue |
| Immunohistochemistry (IHC) | 1:20-1:200 | Antigen retrieval with TE buffer pH 9.0 recommended |
| Immunofluorescence (IF-P) | 1:50-1:500 | Validated with mouse testis tissue |
| Immunofluorescence (IF/ICC) | 1:50-1:500 | Effective with neuronal cell lines like SH-SY5Y |
It is crucial to perform optimization for each specific experimental system as detection sensitivity may vary depending on tissue type and target expression levels .
For most DYNLT1 antibodies, the following storage conditions are recommended:
Store at -20°C for polyclonal antibodies in glycerol-based buffers
Store at -80°C for monoclonal antibodies in PBS-only formulations
Maintain aliquots to avoid repeated freeze-thaw cycles, which can degrade antibody performance
Typical shelf life is approximately one year when stored properly
For antibodies in 0.02% sodium azide and 50% glycerol (pH 7.3), aliquoting is not necessary for -20°C storage
Some formulations (particularly PBS-only) are more sensitive to storage conditions, so always verify manufacturer-specific recommendations .
DYNLT1 has the following molecular characteristics:
Calculated molecular weight: 12 kDa (113 amino acids)
Observed molecular weight: 12 kDa in SDS-PAGE
Gene ID (NCBI): 6993
Researchers should expect to detect a single band at approximately 12 kDa in Western blot applications. Any additional bands may indicate non-specific binding or post-translational modifications .
Recent research has demonstrated significant associations between DYNLT1 and breast carcinoma (BC):
DYNLT1 is overexpressed in breast cancer tissues compared to normal breast tissues
High DYNLT1 expression correlates with poor relapse-free survival in breast cancer patients
Functional studies show DYNLT1 promotes breast cancer development through:
Enhanced proliferation of MDA-MB-231 cells
Increased cell migration capacity
Promotion of metastatic potential
Knockdown experiments demonstrate that reduced DYNLT1 expression inhibits colony formation, cell proliferation, migration, and invasion in breast cancer cell lines. These findings suggest DYNLT1 may serve as both a diagnostic and prognostic indicator in breast cancer .
Mechanistically, DYNLT1 appears to influence:
DNA damage repair pathways
Cell cycle regulation
Tumor-infiltrating lymphocyte profiles
TGF-beta response patterns
These roles collectively contribute to DYNLT1's potential significance in predicting immunotherapy response in breast cancer patients .
DYNLT1 has been implicated in virus-host interactions, with particular relevance to HIV-1 infection:
DYNLT1 directly interacts with HIV-1 integrase (IN) but not with capsid (CA), matrix (MA), or reverse transcriptase (RT) proteins
This interaction occurs through specific motifs (52GQVD and 250VIQD) in HIV-1 integrase
Unlike DYNLT1, related dynein adapter proteins DYNLL1 and p150Glued show different patterns in viral interactions
Functional significance:
DYNLT1 knockdown does not significantly affect HIV-1 reverse transcription
This contrasts with DYNLL1, which is required for efficient HIV-1 reverse transcription
The differential roles of dynein adapter proteins suggest specific and non-redundant functions in viral replication
Interestingly, DYNLT1 also interacts with murine leukemia virus (MMLV) integrase, suggesting a potentially conserved role in retroviral biology .
DYNLT1 exhibits important interactions with nucleoporins and other nuclear transport factors:
DYNLT1 interacts with FG repeat nucleoporins, including:
NUP98 (binds to the FG repeat region)
NUP153 (interaction slightly reduced by deletion of N- or C-terminus)
NUP62 (binding almost completely abolished by removal of FG-repeat containing N-terminus)
These interactions have been validated through:
GST pulldown assays with in vitro translated nucleoporins
Co-immunoprecipitation of endogenous proteins from K562 cells
Immunolocalization showing DYNLT1 enrichment at the nuclear rim
Functionally, DYNLT1 appears to play a role in:
The oncogenic potential of NUP98-HOXA9 fusion proteins in acute myeloid leukemia
Regulation of transcriptional activity by modulating promoter interactions
Cell proliferation, as demonstrated by inhibition of cell proliferation upon DYNLT1 knockdown in human CD34+ primary cells expressing NUP98-HOXA9
Based on published methodologies, researchers can consider the following approach for antibody development:
Antigen Selection and Production:
Immunization and Serum Collection:
Purification Strategy:
Validation Testing:
For monoclonal antibody development, additional hybridoma selection and cloning steps are required following immunization .
Robust experimental design should include the following controls when working with DYNLT1 antibodies:
Human brain and heart tissues (validated for WB)
Mouse skeletal muscle tissue (validated for IP)
Human pancreas tissue (validated for IHC)
Mouse testis tissue (validated for IF-P)
Secondary antibody only (no primary antibody)
Isotype control (unrelated antibody of same isotype)
DYNLT1 knockdown samples:
Peptide competition assays to confirm specificity
Multiple antibodies targeting different epitopes
Recombinant expression of tagged DYNLT1 as size reference
Cross-species validation (human, mouse, and rat show high conservation)
For optimizing DYNLT1 detection in difficult samples, consider the following methodological adjustments:
Antigen retrieval optimization is critical:
Primary recommendation: TE buffer pH 9.0
Alternative method: Citrate buffer pH 6.0
Extended incubation times (overnight at 4°C) may improve sensitivity
Signal amplification systems can enhance detection in low-expression samples
Fresh frozen samples may provide better results than FFPE in some cases
Extraction buffer optimization:
Include phosphatase inhibitors
Use 0.12% NP-40 lysis buffer with protease inhibitor cocktail for co-IP applications
Sample preparation:
Heat samples at 95°C for 5 minutes in reducing conditions
Avoid excessive heating which may cause protein aggregation
Transfer optimization:
Fixation method comparison (4% paraformaldehyde vs. methanol)
Permeabilization optimization (0.1-0.5% Triton X-100)
Signal amplification using tyramide signal amplification
Confocal microscopy with optimal pinhole settings for capturing subcellular distribution
DYNLT1 antibodies have applications in multiple cancer types beyond breast cancer:
DYNLT1 promotes glioblastoma progression
Expression correlates with tumor-node-metastasis (TNM) grade
Antibodies can be used to assess expression levels in patient samples and cell lines
DYNLT1 participates in the miR-15b-3p/Caspase-3/Caspase-9 signaling pathway
Contributes to malignant transformation
Antibodies enable evaluation of expression correlation with clinical parameters
DYNLT1 interacts with the NUP98-HOXA9 fusion protein in acute myeloid leukemia
Knockdown inhibits cell proliferation in human CD34+ cells expressing this fusion
Antibodies facilitate mechanistic studies of leukemogenic processes
Methodological applications include:
Tissue microarray analysis for expression profiling across tumor types
Co-immunoprecipitation to identify cancer-specific interaction partners
Chromatin immunoprecipitation to assess potential transcriptional roles
Proximity ligation assays to validate protein-protein interactions in situ
DYNLT1 has several neurological functions that make it relevant for neuroscience research:
DYNLT1 (Tctex-1) is selectively enriched in proliferating neural progenitors in both embryonic and adult brains
Genetic knockdown promotes neurogenesis, suggesting a regulatory role in cortical neurogenesis
Antibodies enable tracking of expression patterns during neural development
DYNLT1 has been linked to Huntington's disease pathology
Involved in intracellular transport mechanisms crucial for neuronal function
May participate in protein aggregation or clearance processes
Functions in neuronal morphogenesis independent of cytoplasmic dynein
Role appears coupled to actin cytoskeleton regulation by enhancing Rac1 activity
May be regulated through association with G-protein beta-gamma dimers
Research applications include:
Immunohistochemical analysis of brain tissue during development and in disease states
Live cell imaging using antibodies to track DYNLT1 dynamics
Correlation of expression patterns with neurogenesis markers
Investigation of DYNLT1's role in axonal transport and neuronal maintenance
DYNLT1 antibodies provide valuable tools for investigating host-virus interactions:
Enables detection of DYNLT1-HIV integrase interactions
Allows assessment of cellular factors in viral replication cycles
Facilitates understanding of dynein-mediated transport in viral infection
DYNLT1 is involved in intracellular targeting of D-type retrovirus gag polyproteins
Contributes to cytoplasmic assembly site localization
Co-immunoprecipitation to capture virus-host protein complexes
Immunofluorescence to track viral component localization
Proximity ligation assays to visualize protein interactions in situ
DYNLT1 knockdown/knockout systems to assess functional impact on viral replication
Research implications:
Potential for identifying novel antiviral targets
Understanding cellular machinery hijacked during infection
Elucidating mechanisms of viral nuclear import and assembly
Selection between monoclonal and polyclonal DYNLT1 antibodies should be based on specific research needs:
Advantages:
Higher sensitivity due to recognition of multiple epitopes
Better for detecting denatured proteins in Western blot
More robust against minor antigen changes or modifications
Applications:
Storage: -20°C in glycerol-based buffers
Advantages:
Consistent lot-to-lot reproducibility
Higher specificity for particular epitopes
Lower background in certain applications
Applications:
Storage: -80°C for PBS formulations
| Research Need | Recommended Type | Rationale |
|---|---|---|
| Multiple application types | Polyclonal | Versatility across applications |
| Reproducible results over long term | Monoclonal | Consistent epitope recognition |
| Detection of low abundance targets | Polyclonal | Higher sensitivity |
| Specific isoform detection | Monoclonal | Precise epitope targeting |
| Co-immunoprecipitation | Either | Depends on epitope accessibility |
Consider validation status for your specific application and species when making selection .
Proper interpretation of validation data is essential for experimental success:
Verify detection of single band at ~12 kDa in positive control samples
Check for validated tissues/cells (human brain/heart, Sp2/0 cells)
Evaluate knockdown/knockout validation showing band reduction
Review tissue-specific staining patterns (pancreas, testis)
Compare subcellular localization with established patterns:
Cytoplasmic distribution with enrichment at nuclear rim
Association with microtubule structures
Evaluate specificity through peptide blocking or KO controls
Review testing against protein arrays when available
Check cross-species reactivity (human, mouse, rat)
Note any potential cross-reactivity with related proteins
When interpreting publications using DYNLT1 antibodies, always verify:
The specific clone/catalog number used
Validation performed specifically for the application
Controls included in the study
Implementing stringent quality control measures helps ensure experimental reliability:
Perform titration experiments to determine optimal concentration
Include positive control samples (tissue/cell types with confirmed expression)
Incorporate negative controls (secondary-only, isotype controls)
Consider pre-adsorption with immunizing peptide to confirm specificity
When receiving new antibody lots, compare with previous lots using:
Side-by-side Western blot
Standardized positive controls
Consistent imaging parameters
Maintain positive control lysates/tissues as reference standards
Track antibody performance over time (signal:noise ratio)
Monitor for changes in background or specificity
Include DYNLT1 knockdown/overexpression controls
Use multiple antibodies targeting different epitopes when possible
Employ orthogonal detection methods to confirm findings
Following these quality control measures will maximize reproducibility and reliability of DYNLT1 antibody-based experiments .