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Regulatory subunit of calcineurin, a calcium-dependent, calmodulin-stimulated protein phosphatase. Confer calcium sensitivity.
Calcineurin is a heterodimeric calcium-dependent serine-threonine phosphatase (also known as protein phosphatase 2B or PP2B) consisting of two primary subunits: a 60 kDa catalytic subunit (calcineurin A) and a 19 kDa calcium-binding regulatory subunit (calcineurin B, encoded by Ppp3r1) . The regulatory B subunit is structurally critical as it is abundantly expressed in the cytoplasm of neurons and functions to regulate calcineurin activity through calcium binding .
Methodologically, researchers investigating the structural properties of Ppp3r1 should note that this subunit, rather than the catalytic subunit, is primarily responsible for the regulation of calcineurin activity. In experimental settings, it is essential to consider that Ppp3r1 achieves activation through calcium and calmodulin binding, which induces conformational changes that enable the phosphatase to dephosphorylate target proteins . This activation occurs specifically in response to calcium signaling triggered by external stimuli such as hormones, growth factors, or neurotransmitters.
When investigating Ppp3r1 expression in neural tissues, researchers should employ a multi-method approach:
RNA-level analysis: Quantitative PCR (qPCR) for gene expression analysis provides a sensitive method for detecting changes in Ppp3r1 mRNA levels. RNA-seq can offer genome-wide context for expression patterns .
Protein-level analysis: Western blotting with specific anti-Ppp3r1 antibodies enables quantification of protein expression, while immunohistochemistry/immunofluorescence allows for spatial localization within brain regions .
Functional assays: Calcineurin activity assays using phosphatase substrates can measure the functional consequences of altered Ppp3r1 expression .
Single-cell approaches: For cell-type specific expression patterns, single-cell RNA-seq or multiplexed immunofluorescence can reveal heterogeneity across neural populations .
When designing these experiments, researchers should include appropriate controls and consider the impact of calcium concentration in their experimental buffers, as calcium directly influences Ppp3r1 function. Time-course experiments are particularly valuable for capturing dynamic changes in expression following stimulation.
Recombinant Ppp3r1 preparations may exhibit important differences from endogenous protein that researchers must account for in experimental design:
Post-translational modifications: Endogenous Ppp3r1 undergoes various PTMs that may be absent or differently distributed in recombinant preparations depending on the expression system used .
Binding partners: Native Ppp3r1 exists in complex with calcineurin A and potentially other proteins, whereas recombinant Ppp3r1 may lack these physiological interactions unless specifically co-expressed .
Calcium sensitivity: Recombinant preparations may show altered calcium binding dynamics compared to endogenous protein, potentially affecting activation thresholds in functional assays .
For methodologically robust experiments, researchers should:
Validate recombinant protein functionality through calcineurin activity assays
Compare recombinant and endogenous protein behavior in parallel experiments when possible
Consider supplementing assays with calcineurin A subunit if using recombinant Ppp3r1 alone
Carefully control calcium concentrations to ensure appropriate activation conditions
Ppp3r1, as part of the calcineurin complex, participates in several critical signaling pathways in neuronal cells:
Pathway | Ppp3r1 Role | Key Substrates | Functional Outcome |
---|---|---|---|
Axon Guidance | Regulates phosphorylation of cytoskeletal proteins | MAP1B, Cofilin | Directs axonal growth and pathfinding |
Glutamatergic Synapse | Modulates receptor trafficking | AMPAR, NMDAR | Regulates synaptic strength and plasticity |
Long-Term Potentiation (LTP) | Counterbalances kinase activity | CREB, PP1 inhibitors | Influences memory formation |
MAPK Signaling | Cross-talks with MAPK cascade | ERK, MEK | Affects neuronal survival and differentiation |
Methodologically, when investigating these pathways, researchers should:
Employ phospho-specific antibodies to monitor substrate phosphorylation states
Use specific calcineurin inhibitors (FK506/tacrolimus or Cyclosporin A) as controls
Consider calcium imaging to correlate calcium dynamics with pathway activation
Design time-course experiments to capture the temporal dynamics of signaling cascades
When implementing Ppp3r1 knockout or knockdown models for neurodegenerative disease research, researchers should address several technical considerations:
Model selection:
Conventional knockouts may be embryonically lethal due to Ppp3r1's essential functions
Conditional (Cre-loxP) knockouts allow temporal and spatial control of gene deletion
AAV-mediated knockdown provides flexibility for region-specific manipulation in adult animals
CRISPR-Cas9 approaches enable precise genomic editing with reduced off-target effects
Compensatory mechanisms:
Monitor expression of other calcineurin regulatory subunits that might compensate for Ppp3r1 loss
Assess calcium-dependent phosphatase activity to determine functional consequences
Evaluate pathway adaptation through phosphoproteomic analysis
Phenotypic analysis timeline:
Early changes in dendritic spine morphology (2-4 weeks)
Intermediate alterations in synaptic protein composition (1-3 months)
Late-stage behavioral and cognitive deficits (3-12 months)
Experimental readouts:
In Alzheimer's disease research specifically, evidence suggests that low PPP3R1 expression accurately predicts disease onset, with area under curve (AUC) analysis demonstrating predictive value. Therefore, researchers should incorporate quantitative expression analysis in their experimental designs to correlate with phenotypic progression .
The interaction between Ppp3r1 and Toll-like receptor (TLR) pathways represents a complex intersection between calcium signaling and innate immunity that influences neuroinflammation. Researchers investigating this relationship should consider:
Mechanistic interaction: Recombinant calcineurin subunit B has been shown to interact directly with the ectodomain of TLR4 in vitro, potentially serving as an endogenous regulator of TLR signaling . Experimental approaches should include:
Co-immunoprecipitation assays to confirm physical interactions
Surface plasmon resonance to determine binding kinetics
FRET-based approaches to visualize interactions in living cells
Downstream signaling consequences:
Pathway-specific effects:
For neuroinflammation studies, researchers should implement time-course experiments measuring:
Pro-inflammatory cytokine production (TNF-α, IL-12p70, IL-1β, IL-6)
Chemokine secretion (IL-8, IP-10, MIP-1α, MIP-1β)
Interferon pathway activation markers
Microglial activation status
The methodological approach should include both in vitro models (primary microglia, mixed glial cultures) and in vivo paradigms (stereotaxic injection of recombinant Ppp3r1, neuroinflammation models).
The literature presents several apparent contradictions regarding Ppp3r1's role in neuroprotection versus neurodegeneration that researchers should carefully consider:
Alzheimer's disease context:
Cell survival regulation:
Pro-survival: Calcineurin regulates adaptive responses to environmental stress
Pro-death: Excessive calcineurin activation can trigger apoptotic pathways
Neuroinflammatory effects:
Therapeutic implications:
To resolve these contradictions, researchers should:
Conduct dose-response studies to determine threshold effects
Implement cell-type specific manipulations to distinguish neuronal versus glial contributions
Use temporal control systems to separate acute versus chronic effects
Employ systems biology approaches to model network-level outcomes
Design experiments that directly compare Ppp3r1 function across different disease models and stages
Optimizing Ppp3r1-based therapeutic strategies requires systematic consideration of several factors:
Target specificity engineering:
Design peptide or small molecule modulators that target specific Ppp3r1 interaction surfaces
Develop isoform-selective approaches that distinguish between calcineurin subunit variants
Create cell-type specific delivery systems using targeted nanoparticles or viral vectors
Engineer conditional activation systems responsive to disease-specific microenvironments
Context-dependent intervention:
For Alzheimer's disease: Strategies should focus on maintaining PPP3R1 levels, as downregulation correlates with disease progression and tau hyperphosphorylation
For neuroinflammatory conditions: Controlled Ppp3r1 administration might stimulate beneficial β-interferon production
For autoimmune disorders: Selective calcineurin inhibition shows promise, as evidenced by clinical studies in lupus nephritis
Delivery optimization parameters:
Parameter | Considerations | Methodological Approach |
---|---|---|
Blood-brain barrier penetration | Molecular size, lipophilicity, transport mechanisms | In vitro BBB models, in vivo biodistribution studies |
Temporal control | Disease stage-specific intervention, circadian effects | Inducible expression systems, chronotherapy |
Spatial targeting | Region-specific delivery, cellular compartmentalization | Stereotaxic delivery, organelle-targeted constructs |
Dose optimization | Therapeutic window, side effect profile | Dose-escalation studies, PK/PD modeling |
Combinatorial approaches:
Pair Ppp3r1 modulation with complementary pathway interventions
Consider sequential treatment protocols to address different disease phases
Explore synergistic effects with existing approved therapies
For methodological validation, researchers should implement:
Target engagement biomarkers
Functional readouts of calcineurin activity
Disease-relevant endpoints
Long-term safety monitoring
In Alzheimer's disease specifically, PPP3R1-targeted therapeutic strategies should focus on the identified cross-talking pathways: axon guidance, glutamatergic synapse, LTP, and MAPK signaling pathways, as these represent the mechanisms through which PPP3R1 influences disease pathogenesis .
When translating findings from mouse Ppp3r1 research to human clinical applications, researchers must address several critical considerations:
Parameter | Mouse | Human | Research Implication |
---|---|---|---|
Brain region expression | Higher in hippocampus | More uniform distribution | Region-specific intervention may require adjustment |
Age-related changes | Rapid changes (months) | Gradual changes (years) | Timeline for intervention must be scaled |
Immune response | Th1-dominant | More balanced Th1/Th2 | Immunomodulatory effects may differ |
Drug metabolism | Faster clearance | Slower metabolism | Dosing regimens require adjustment |
Clinical trial design considerations:
Accurate quantification of PPP3R1 expression in clinical biospecimens requires robust methodological approaches:
Cerebrospinal fluid (CSF) analysis:
ELISA-based quantification with validated antibodies
Mass spectrometry-based proteomics for absolute quantification
Digital ELISA (Single Molecule Array) for ultra-sensitive detection
Researchers should establish standardized collection protocols, as PPP3R1 measurements may be affected by diurnal variation, sample processing time, and storage conditions.
Blood-based measurements:
Peripheral blood mononuclear cell (PBMC) expression via qPCR
Plasma/serum protein levels via immunoassays
Exosomal PPP3R1 as a potential CNS-derived biomarker
Tissue analysis from biopsies or post-mortem samples:
RNA-Seq or NanoString technology for gene expression profiling
Immunohistochemistry with digital pathology quantification
Laser capture microdissection for cell-type specific analysis
Spatial transcriptomics for regional expression patterns
Quality control considerations:
Parameter | Challenge | Recommended Solution |
---|---|---|
Pre-analytical variables | Sample degradation | Standardized processing within 30 minutes |
Reference standards | Batch variation | Include recombinant protein calibrators |
Antibody specificity | Cross-reactivity | Validate with knockout controls |
Normalization | Inter-individual variation | Use multiple housekeeping references |
Clinical correlation:
Research indicates that PPP3R1 expression is inversely associated with AD neuropathy and clinical dementia rating, making quantification particularly valuable for neurodegenerative disease monitoring .