The SPG21 protein, also known as maspardin, is a ubiquitously expressed protein with a noncatalytic alpha/beta hydrolase fold domain . It interacts with the CD4 receptor, modulating T-cell activation by binding to its hydrophobic C-terminal residues . Functional studies suggest maspardin may regulate lysosomal enzyme transport and degradation, as it colocalizes with proteins like Rab7 and ALDH16A1 in late endosomes . A truncated form of this protein due to mutations in the SPG21 gene underlies Mast syndrome (SPG21), a hereditary spastic paraplegia characterized by spasticity, cognitive decline, and thin corpus callosum .
The antibody is validated for detecting SPG21 protein in human lysates. Studies employing this antibody have confirmed its specificity in immunoblotting assays, including experiments demonstrating the absence of maspardin in SPG21−/− knockout mice .
It is used to visualize SPG21 localization in cellular compartments, such as late endosomes and lysosomes . This enables researchers to study maspardin’s role in protein trafficking and degradation pathways.
Neurological Studies: In SPG21−/− mice, SPG21 antibody staining revealed altered axonal branching in cortical neurons, suggesting a role in neuronal development .
Lysosomal Pathways: Co-immunoprecipitation assays using this antibody identified maspardin’s interaction with Rab7, implicating it in lysosomal protein sorting .
Cancer Research: SPG21 expression has been linked to tumor progression in certain cancers, with the antibody aiding in its detection in patient samples .
The SPG21 antibody is a potential diagnostic tool for Mast syndrome, where SPG21 mutations lead to truncated protein. Its use in patient-derived cell models could help validate therapeutic targets, such as modulators of lysosomal function or axonal branching .
Emerging studies suggest SPG21’s role in intervertebral disc degeneration , where its dysregulation correlates with ECM breakdown. The antibody could facilitate mechanistic investigations into this pathway, linking SPG21 to degenerative disc diseases.
This antibody remains a vital tool for unraveling maspardin’s multifaceted roles in cellular homeostasis and disease. Its specificity and versatility ensure continued relevance across neurology, immunology, and lysosomal biology research.
SPG21, also known as Maspardin, is a 308-amino acid protein that functions primarily as a negative regulatory factor in CD4-dependent T-cell activation. The protein binds to the hydrophobic C-terminal amino acids of CD4, with this interaction mediated by the noncatalytic alpha/beta hydrolase fold domain of SPG21 . Beyond T-cell regulation, SPG21 participates in pathways with proteins like CLN3 and members of the Golgi complex, sustaining cellular metabolic balance and facilitating protein recycling . The protein is broadly expressed across diverse tissues including heart, brain, placenta, lung, liver, skeletal muscle, kidney, and pancreas . Mutations in the SPG21 gene are associated with autosomal recessive spastic paraplegia 21, also known as Mast syndrome, characterized by dementia, thin corpus callosum, white matter abnormalities, cerebellar and extrapyramidal signs .
SPG21 antibodies have been validated for multiple applications with varying degrees of reliability:
When selecting an antibody, researchers should prioritize those that have undergone enhanced validation techniques such as genetic knockout verification, recombinant expression validation, or independent antibody verification with non-overlapping epitopes .
A methodological approach to validating SPG21 antibody specificity should include:
Positive control testing: Use tissues or cell lines known to express SPG21 (e.g., A549 cells, RT-4 cells, or U-251 MG cells)
Western blot analysis: Verify the presence of a single band at the expected molecular weight (~35 kDa for human SPG21)
Peptide competition assay: Pre-incubate the antibody with the immunizing peptide (e.g., amino acids 200-C-terminus for some commercial antibodies) to confirm signal elimination
Correlation with mRNA expression: Compare antibody staining patterns with RNA-seq data from resources like The Human Protein Atlas
Multiple antibody verification: Use antibodies targeting different epitopes of SPG21 to confirm consistent localization patterns
Based on technical specifications from multiple sources, the following working dilution ranges are recommended:
| Application | Recommended Dilution Range | Antibody Concentration |
|---|---|---|
| Western Blot (WB) | 1:100 - 1:1000 | 0.04 - 0.4 μg/ml |
| Immunohistochemistry (IHC) | 1:200 - 1:500 | Variable by antibody |
| Immunofluorescence (IF) | 1:100 - 1:500 | 4 μg/ml typical |
| ELISA | Varies by kit | Follow manufacturer recommendations |
These ranges should be optimized for each specific antibody and experimental system. For example, the rabbit polyclonal anti-SPG21 antibody HPA040436 is recommended at 0.4 μg/ml for WB and 1:200-1:500 for IHC applications .
SPG21 demonstrates a complex subcellular distribution pattern that can be investigated using immunofluorescence techniques:
Sample preparation: Fix cells with 4% paraformaldehyde in PBS for 30 minutes at room temperature, followed by permeabilization with 0.1% Triton X-100
Primary antibody incubation: Apply rabbit polyclonal anti-maspardin antibodies (9 μg/ml) in blocking solution (40% horse serum, 0.1% bovine serum albumin, and 0.1% Triton X-100 in PBS) for 1 hour at room temperature
Secondary antibody visualization: Use Alexa-Fluor-568-conjugated secondary antibodies (1:500) for 30 minutes
Co-localization studies: For organelle identification, pair anti-SPG21 with markers such as:
Image acquisition: Use confocal microscopy for optimal resolution of subcellular structures
This approach has revealed that SPG21/maspardin localizes to cytoplasmic vesicular structures and shows partial co-localization with endosomal/lysosomal markers.
Selection between polyclonal and monoclonal SPG21 antibodies should be based on the specific research application:
Polyclonal SPG21 Antibodies:
Advantages: Recognize multiple epitopes, higher sensitivity for weakly expressed targets, more tolerant of minor protein denaturation, better for detecting native proteins
Best applications: Western blot, immunoprecipitation, initial characterization studies
Available options: Rabbit polyclonal antibodies targeting N-terminal (residues 1-18) or C-terminal regions (residues 283-300)
Monoclonal SPG21 Antibodies:
Advantages: Higher specificity, reduced background, greater lot-to-lot consistency, better for quantitative applications
Best applications: ELISA, multiplexed assays, longitudinal studies requiring consistent reagents
Available options: Mouse monoclonal antibody clone 2B11 targeting amino acids 211-306
For comprehensive characterization, using both types is ideal - polyclonal antibodies for detection and monoclonals for confirmation of specificity.
SPG21 interacts with several proteins including CD4 and ALDH16A1. These interactions can be studied using the following methodologies:
Co-immunoprecipitation (Co-IP):
Immunofluorescence co-localization:
Use chicken polyclonal anti-maspardin (5 μg/ml) with goat anti-chicken Alexa Fluor 488 (1:1,000)
Simultaneously label potential binding partners (e.g., ALDH16A1) with rabbit polyclonal antibodies (15 μg/ml) and goat anti-rabbit Alexa Fluor 568 (1:1,000)
Analyze co-localization using confocal microscopy and quantitative co-localization algorithms
Proximity ligation assay (PLA):
A more sensitive technique allowing visualization of protein interactions (<40 nm proximity)
Utilize primary antibodies from different host species (e.g., rabbit anti-SPG21 and mouse anti-CD4)
Follow with species-specific PLA probes and amplification
These methods have successfully demonstrated SPG21's interaction with ALDH16A1 and its role in CD4-dependent T-cell signaling pathways.
Investigating Mast syndrome (SPG21) using antibody-based approaches requires a multifaceted strategy:
Comparative expression analysis:
Subcellular mislocalization studies:
Perform immunofluorescence in patient fibroblasts or iPSC-derived neurons
Compare SPG21 distribution with organelle markers
Quantify co-localization coefficients between control and disease samples
Interaction partner alterations:
Perform co-immunoprecipitation studies to identify changes in SPG21 protein interactions
Compare binding to known partners (CD4, ALDH16A1) in disease and normal states
Use mass spectrometry to identify novel interaction differences
Protein degradation pathway analysis:
Track protein stability using cycloheximide chase assays with anti-SPG21 antibodies
Compare degradation rates between wildtype and mutant proteins
Investigate whether protein quality control mechanisms are affected by mutations
This approach can reveal how SPG21 mutations lead to the complex neurological phenotype characterized by dementia, thin corpus callosum, and white matter abnormalities that define Mast syndrome.
Detection of SPG21 in complex tissues such as brain presents several challenges that can be addressed through specialized methodological approaches:
Optimized antigen retrieval for fixed tissues:
For formalin-fixed paraffin-embedded (FFPE) brain tissues, use citrate buffer (pH 6.0) heating for 20 minutes
For frozen sections, test multiple fixatives (4% PFA, methanol, or acetone) to determine optimal epitope preservation
Signal amplification strategies:
Utilize tyramide signal amplification (TSA) to enhance detection of low-abundance SPG21
Consider polymeric detection systems rather than standard ABC methods
Use highly sensitive fluorophores for immunofluorescence applications
Background reduction techniques:
Pre-adsorb antibodies against tissue powder from relevant species
Include appropriate blocking reagents (e.g., 40% horse serum, 0.1% bovine serum albumin)
Use monovalent Fab fragments to block endogenous immunoglobulins in human tissues
Multiplexed detection approaches:
Apply sequential immunostaining with antibody stripping between rounds
Use antibodies raised in different host species for simultaneous detection
Consider spectral imaging and unmixing for closely overlapping fluorophores
Quantitative analysis methods:
Apply digital image analysis algorithms to quantify immunoreactivity
Use machine learning approaches for pattern recognition in complex tissues
Normalize expression against appropriate reference markers
These approaches have successfully been applied to detect SPG21 across various tissue types, including challenging neural tissues relevant to Mast syndrome research.
Studying post-translational modifications (PTMs) of SPG21 requires specific experimental considerations:
Selection of appropriate antibodies:
Use modification-specific antibodies when available (e.g., phospho-specific)
For general PTM detection, use antibodies targeting regions unlikely to be modified
Consider generating custom antibodies against predicted modification sites
Sample preparation to preserve modifications:
Enrichment strategies:
Use immunoprecipitation with anti-SPG21 antibodies followed by detection with PTM-specific antibodies
Consider affinity-based enrichment (e.g., phosphopeptide enrichment) prior to analysis
For ubiquitination studies, express tagged ubiquitin constructs to facilitate pulldown
Analytical approaches:
Employ Phos-tag SDS-PAGE to separate phosphorylated from non-phosphorylated forms
Use 2D gel electrophoresis to resolve differently modified forms
Apply mass spectrometry for comprehensive PTM site identification
Functional validation:
These approaches can reveal how post-translational modifications regulate SPG21's function in CD4-dependent T-cell activation and its role in intracellular transport pathways.
Quantitative analysis of SPG21 immunofluorescence data requires sophisticated image processing approaches:
Preprocessing steps:
Apply flat-field correction to compensate for uneven illumination
Use appropriate background subtraction methods
Perform deconvolution to improve signal-to-noise ratio and resolution
Segmentation strategies:
Apply automated object detection for SPG21-positive structures
Use watershed algorithms for separating closely positioned objects
Implement machine learning classifiers for complex pattern recognition
Co-localization analysis methods:
Calculate Pearson's or Manders' correlation coefficients between SPG21 and organelle markers
Implement object-based co-localization for discrete structures
Use nearest neighbor analysis for spatial relationship quantification
Dynamic and time-lapse analysis:
Track SPG21-positive vesicles over time to analyze trafficking
Measure fusion and fission events of SPG21-containing compartments
Quantify directional movement relative to cellular landmarks
Statistical approaches:
Apply appropriate statistical tests based on data distribution
Use multiple comparison corrections for analyses involving many parameters
Implement bootstrap or permutation tests for robust analysis of small sample sizes
By applying these quantitative methods, researchers can extract meaningful metrics from SPG21 imaging data, allowing objective comparison between experimental conditions and better understanding of SPG21's dynamic behavior in cells.