The term "DEGP6" does not align with established antibody naming conventions (e.g., WHO’s INN system) or functional classifications (e.g., CD4bs antibodies like N6 , dengue-neutralizing m366.6 , or flavivirus-targeting 3G9 ). Key observations include:
No matches in the Patent and Literature Antibody Database (PLAbDab) , which catalogs ~150,000 antibodies.
No entries in the Dengue Virus Antibody Database , despite its focus on flavivirus-specific antibodies.
No references in monoclonal antibody development pipelines (e.g., Precision Antibody’s catalog ).
Typographical error: "DEGP6" may be a misspelling (e.g., "DENG6" or "DEG6") of known dengue antibodies like mAb 6 or DIII-specific m366.6 .
Proprietary designation: Unpublished or industry-specific antibodies may use internal codes (e.g., "DEGP6" could refer to a developmental candidate not yet disclosed in public domains).
Given the absence of data, the following steps are advised:
Verify nomenclature with primary sources or collaborators.
Explore related antibodies:
Consult proprietary databases: Industry-specific repositories (e.g., pharmaceutical R&D platforms) may house undisclosed data.
Exclusion of non-English sources: The query specifies English materials only.
Cutoff date: Literature after March 2025 is unavailable for review.
DPP6 (Dipeptidyl Peptidase 6) is a transmembrane protein that plays critical roles in neuronal function, particularly in voltage-gated potassium channel regulation. The protein spans from Thr56 to Asp803 with a notable Glu458Val variation in the protein sequence (Accession # AAA35761) . Experimental evidence demonstrates significant DPP6 expression in:
Human spinal cord tissue (detectable through immunohistochemistry)
SHSY5Y human neuroblastoma cell lines (confirmed through flow cytometry)
Central nervous system tissues more broadly
When designing experiments targeting DPP6, researchers should consider these established expression patterns to select appropriate cellular models for their studies.
Based on available scientific data, DPP6 antibodies have been successfully employed in multiple detection platforms:
For optimal results, researchers should determine specific dilutions for each application and laboratory setting, as antibody performance can vary based on experimental conditions.
Methodologically sound DPP6 antibody experiments require appropriate controls:
Negative control: Omission of primary antibody while maintaining secondary antibody incubation demonstrates the absence of non-specific secondary antibody binding. This approach has been documented to produce no detectable signal in spinal cord tissue sections .
Isotype control: For flow cytometry applications, using a control antibody (such as AB-108-C) with the same isotype but no relevant specificity helps distinguish specific from non-specific binding .
Positive tissue controls: Using tissues with known DPP6 expression (like spinal cord sections) provides validation of antibody performance.
For researchers investigating DPP6 localization in neuronal tissues, the following methodological approach is recommended:
When designing flow cytometry experiments for DPP6 detection, researchers should address these critical factors:
Cell preparation: For neuroblastoma cell lines like SHSY5Y, maintain viability and membrane integrity during preparation to preserve DPP6 epitopes .
Staining protocol: Follow established membrane protein staining protocols that minimize internalization of surface proteins during processing .
Antibody selection: Use DPP6 polyclonal antibody as primary antibody followed by fluorophore-conjugated secondary antibody (APC-conjugated Anti-Goat IgG Secondary Antibody has been validated) .
Gating strategy: Establish proper gating using:
Forward/side scatter to identify intact cells
Viability markers to exclude dead cells
Control antibody staining to set negative population boundaries
Analysis: Present results as histograms comparing experimental samples (filled) against isotype controls (open) to clearly demonstrate specific binding .
When experiencing high background or non-specific staining in DPP6 immunohistochemistry:
Blocking optimization: Implement more stringent blocking protocols using:
Higher concentration of serum (5-10%) from the same species as the secondary antibody
Addition of 0.1-0.3% Triton X-100 for improved permeabilization
Extended blocking times (1-2 hours at room temperature)
Antibody dilution: Further titrate antibody concentrations starting from the validated 5 μg/mL concentration . Systematic testing of dilutions may identify optimal signal-to-noise ratio.
Washing protocol: Implement more rigorous washing steps between antibody applications:
Increase washing buffer volume
Extend washing times to 10-15 minutes per wash
Increase number of washes (minimum 3-5 washes)
Tissue preparation: Evaluate fixation protocols and post-fixation storage conditions that may affect epitope accessibility.
Counterstain optimization: Adjust hematoxylin concentration or incubation time to maintain nuclear definition without obscuring DPP6 staining .
To enhance experimental reproducibility when working with DPP6 antibodies:
Antibody validation: Confirm antibody lot consistency through:
Protocol standardization: Document detailed protocols including:
Precise antibody concentrations (not just dilutions)
Incubation times and temperatures
Buffer composition and pH
Sample preparation methods
Sample handling: Standardize:
Time between collection and fixation
Fixation duration and conditions
Storage conditions for preserved samples
Antigen retrieval methods
Quantification methods: Implement objective quantification:
Digital image analysis with defined parameters
Cell counting protocols for flow cytometry
Statistical methods appropriate for data distribution
Given DPP6's role in modulating voltage-gated potassium channels, researchers can implement these integrated approaches:
Co-localization studies: Combine DPP6 immunostaining with potassium channel subunit detection to examine spatial relationships in neuronal tissues.
Sequential analysis workflow:
Perform electrophysiological recordings in neuronal models
Fix and immunostain the same preparations for DPP6 distribution
Correlate functional properties with protein expression patterns
CRISPR-modified systems: Generate DPP6 knockdown or knockout models and assess:
Changes in potassium channel kinetics
Alterations in neuronal excitability
DPP6 antibody staining patterns in modified vs. wild-type cells
Proximity ligation assays: Investigate protein-protein interactions between DPP6 and channel components using DPP6 antibodies in combination with potassium channel subunit antibodies.
For researchers examining potential roles of DPP6 in neurological disorders:
Expression pattern analysis: Compare DPP6 distribution between:
Quantitative assessment: Implement:
Systematic sampling approaches across tissue sections
Unbiased stereological counting methods
Digital image analysis with standardized parameters
Cellular models: Utilize neuroblastoma cell lines like SHSY5Y that have confirmed DPP6 expression to:
Model disease conditions (oxidative stress, protein aggregation)
Assess changes in DPP6 expression or localization
Evaluate potential therapeutic interventions
Cross-validation approaches: Combine multiple detection techniques:
Immunohistochemistry for localization studies
Flow cytometry for quantitative expression analysis
Western blotting for total protein assessment
PCR for transcript level evaluation
As single-cell analysis advances, researchers can integrate DPP6 antibody detection through:
Single-cell flow cytometry: Combine DPP6 antibody staining with:
Additional neuronal markers
Functional indicators
Viability assessments
Imaging mass cytometry: Incorporate metal-conjugated DPP6 antibodies into multiplexed panels for spatial analysis of multiple proteins within tissue sections.
Patch-seq approaches: Link:
Electrophysiological recordings of individual neurons
DPP6 immunostaining of the same cells
Transcriptional profiling after recording and imaging
Spatial transcriptomics: Correlate DPP6 protein distribution (via immunostaining) with gene expression patterns in the same tissue sections.
Future directions for enhanced DPP6 detection and characterization include:
Super-resolution microscopy: Apply techniques like STORM or STED to precisely localize DPP6 in relation to potassium channel complexes at the nanoscale level.
Live-cell imaging approaches: Develop non-fixation dependent methods using:
Fluorescently tagged non-blocking DPP6 antibody fragments
Genetically encoded tags with minimal functional interference
Multiplex protein detection: Implement simultaneous detection of DPP6 with channel subunits and regulatory proteins using:
Spectrally distinct fluorophores
Sequential staining protocols
Antibody stripping and reprobing strategies
Automation of analysis: Develop machine learning algorithms to:
Quantify DPP6 expression patterns
Identify subtle changes in distribution
Correlate expression with functional outcomes
Based on available scientific evidence, researchers investigating DPP6 should:
For immunohistochemistry:
For flow cytometry:
For all applications:
Validate antibody specificity in known positive controls
Determine optimal concentrations through systematic titration
Document detailed protocols to ensure reproducibility