PPP3CC, also known as CALNA3 or CNA3, is a calcium-dependent, calmodulin-stimulated protein phosphatase belonging to the PPP phosphatase family and PP-2B subfamily. It functions as the gamma catalytic subunit of calcineurin. PPP3CC plays essential roles in cellular signaling by:
Dephosphorylating and inactivating transcription factor ELK1
Dephosphorylating DARPP32
The protein has a calculated molecular weight of approximately 58 kDa and is encoded by a gene located at chromosome 8p21.3 in humans .
PPP3CC shows differential expression across tissues, which is critical for antibody validation:
| Tissue Type | Expression Level | Notes |
|---|---|---|
| Testis | High | Primary site of expression |
| Brain | Moderate | Detected in human brain tissue |
| Stomach | Detectable | Used for IHC validation |
| Skeletal muscle | Variable | Used in WB validation |
When validating a PPP3CC antibody, researchers should include positive controls from tissues known to express the protein (particularly testis and brain tissues) and negative controls from tissues with minimal expression .
PPP3CC antibodies have been validated for multiple research applications:
Most commercially available antibodies are polyclonal and raised in rabbit hosts, though some monoclonal options are available .
For optimal Western blot detection of PPP3CC:
Sample preparation: Use approximately 30 μg of total protein as suggested in published research
Control selection: Include both positive controls (testis tissue) and negative controls
Antibody dilution: Start with 1:500-1:1000 dilution and optimize based on signal-to-noise ratio
Detection system: Both chemiluminescence and fluorescence-based systems work effectively
Molecular weight confirmation: Verify that the detected band appears at the expected 57-58 kDa
Loading control: GAPDH has been successfully used as an internal reference in PPP3CC studies
For researchers investigating expression differences in pathological conditions, quantitative Western blot with appropriate normalization is recommended, as significant differences in PPP3CC protein levels have been observed between normal and disease states .
Research has established a significant correlation between PPP3CC expression and sperm motility:
Expression correlation: PPP3CC protein levels are significantly lower in asthenozoospermia (AZS) compared to normal sperm samples
Functional evidence: Calcineurin inhibitors (like cyclosporine A and tacrolimus) reduce sperm motility, mimicking the AZS phenotype
Quantitative relationship: PPP3CC protein content positively correlates with sperm progressive motility (PR)
mRNA vs protein discrepancy: Interestingly, while PPP3CC mRNA levels differ between AZS and normal sperm, there's no significant correlation between mRNA levels and PR or between mRNA and protein levels in the same samples
For researchers investigating male fertility issues, PPP3CC antibodies can be used to:
Quantify protein expression via Western blotting with densitometry analysis
Localize PPP3CC within sperm cells via immunofluorescence
Correlate expression with clinical parameters such as progressive motility
PPP3CC has emerging roles in cancer biology that can be investigated using specific approaches:
Expression analysis: PPP3CC has been identified as a potential tumor suppressor in epithelial ovarian cancer (EOC)
Regulatory mechanisms: miR-200c-3p targets and inhibits PPP3CC in EOC, with an inverse correlation between miR-200c-3p and PPP3CC expression
Functional effects: PPP3CC knockdown in UWB 1.289 + BRCA1 cell line induces proliferation and metastasis, suggesting tumor suppressor properties
Pathway interactions: PPP3CC affects apoptosis and AKT signaling pathways in cancer cells
Methodological approaches for cancer research:
Use PPP3CC antibodies for comparative expression analysis between normal and tumor tissues
Combine with phospho-specific antibodies to examine downstream signaling effects
For knockout/knockdown validation experiments, confirm PPP3CC reduction using validated antibodies
In patient samples, correlate PPP3CC expression with clinical outcomes and disease progression
For successful IHC detection of PPP3CC:
Antigen retrieval: Most protocols recommend TE buffer pH 9.0, though citrate buffer pH 6.0 can be used as an alternative
Antibody dilution: Start with 1:50-1:100 for formalin-fixed paraffin-embedded (FFPE) tissues and optimize as needed
Positive control tissues: Human stomach tissue has been validated as a reliable positive control
Specificity validation: When possible, include known negative tissues or validate using peptide competition assays
Detection systems: Both chromogenic and fluorescent detection methods are compatible
Cross-reactivity assessment: Several PPP3CC antibodies show cross-reactivity with human, mouse, and rat samples
For specialized applications like detecting PPP3CC in reproductive tissues, researchers may need to adjust fixation times and antigen retrieval conditions for optimal results.
PPP3CC antibodies targeting different epitopes provide various advantages depending on research objectives:
For researchers investigating protein-protein interactions or studying post-translational modifications, antibody selection should consider:
Whether the epitope overlaps with functional domains
If the epitope contains known modification sites
Potential masking of the epitope during complex formation
When encountering specificity or sensitivity issues:
Verify sample preparation: Ensure proper protein extraction, especially from tissues with high protease activity
Blocking optimization: Test different blocking agents (BSA vs. milk) to reduce background
Antibody validation: Confirm antibody specificity using:
Positive control tissues (testis, brain)
Knockout/knockdown validation
Peptide competition assays
Cross-reactivity: Be aware that some PPP3CC antibodies may cross-react with other calcineurin subunits
Signal enhancement: For low-abundance detection, consider using signal amplification methods or more sensitive detection systems
To investigate PPP3CC's role in calcineurin function:
Activity correlation: Combine PPP3CC antibody detection with calcineurin activity assays to correlate expression and function
Complex formation: Use co-immunoprecipitation with PPP3CC antibodies to pull down interacting partners
Inhibitor studies: Compare PPP3CC expression/localization in the presence of calcineurin inhibitors like cyclosporine A or tacrolimus
Calcium dependence: Examine PPP3CC localization and complex formation under varying calcium conditions
Regulatory subunit interaction: Investigate the relationship between PPP3CC and PPP3R2 (regulatory subunit), which have shown different patterns in certain pathologies
For reproductive biology applications:
Tissue preparation: Testicular tissue requires careful fixation and antigen retrieval optimization
Expression correlation: When studying infertility, correlate PPP3CC expression with clinical parameters such as sperm motility
Comparative analysis: Consider analyzing both PPP3CC and PPP3R2 expression, as research has shown PPP3CC, but not PPP3R2, correlates with asthenozoospermia
Functional studies: Combine antibody-based detection with calcineurin inhibitor studies to examine functional effects on sperm
Protein-mRNA correlation: Be aware that PPP3CC protein and mRNA levels may not correlate in sperm samples, necessitating both protein and transcript analysis
This discrepancy between mRNA and protein levels makes antibody-based detection particularly important in reproductive research.
When designing experiments to analyze PPP3CC expression:
Tissue heterogeneity: Account for cell-type specific expression, particularly in tissues like brain or testis
Sample preparation variability: Standardize protein extraction methods to ensure consistent detection
Expression regulation: Consider that PPP3CC can be regulated at multiple levels (transcriptional, post-transcriptional, post-translational)
miRNA regulation: In cancer studies, account for miRNA regulation (such as miR-200c-3p) that can affect PPP3CC levels
Isoform detection: Be aware of potential splice variants and design experiments to distinguish between them
Cross-reactivity: Validate antibody specificity against other calcineurin catalytic subunits (PPP3CA, PPP3CB)
For neuroscience applications:
Brain expression: PPP3CC is expressed in brain tissue and may have region-specific functions
Calcineurin signaling: PPP3CC participates in calcium-dependent signaling pathways critical for neuronal function
Substrate interactions: Investigate PPP3CC's relationship with neuronal substrates such as DARPP32
Localization studies: Use immunofluorescence to determine subcellular localization in neurons
Disease associations: Explore potential associations with neurological disorders
Researchers should:
Use brain tissue as positive controls for antibody validation
Consider region-specific expression patterns when designing experiments
Combine with neuronal markers for co-localization studies
For precise quantification of PPP3CC expression changes:
Quantitative Western blotting: Use standard curves with recombinant protein for absolute quantification
Digital imaging: Apply digital image analysis for densitometry with appropriate controls
Normalization strategy: Test multiple housekeeping proteins (GAPDH has been validated)
Statistical analysis: Apply appropriate statistical tests for comparing expression between groups
Sample size calculation: Base sample size on expected effect size and variability in PPP3CC expression
Reproducibility: Include biological and technical replicates to ensure reliable quantification
In studies comparing normal and pathological states, researchers should be particularly careful with normalization and statistical analysis to detect meaningful differences in PPP3CC expression.
Emerging methodologies for PPP3CC research include:
CRISPR/Cas9 modifications: Gene editing to create tagged versions of endogenous PPP3CC for live-cell imaging
Proximity labeling: BioID or APEX2 fusions to identify novel interaction partners
Single-cell analysis: Combining antibody-based detection with single-cell transcriptomics
PTM-specific antibodies: Development of antibodies specific to post-translationally modified forms of PPP3CC
Super-resolution microscopy: Nanoscale localization of PPP3CC within cellular compartments
Interactome mapping: Using antibodies for immunoprecipitation followed by mass spectrometry