ARPP19 (cAMP-regulated phosphoprotein 19 kD) is a critical protein phosphatase inhibitor that specifically inhibits protein phosphatase 2A (PP2A) during mitosis. When phosphorylated at Ser-62 during mitosis, ARPP19 specifically interacts with PPP2R2D (PR55-delta) and inhibits its activity, leading to inactivation of PP2A, which is essential for maintaining high cyclin-B1-CDK1 activity during M phase . ARPP19 plays a crucial role in:
Regulating mitotic progression
Controlling meiotic resumption in oocytes
Embryonic development through cell cycle regulation
Maintaining proper chromosome alignment and segregation
Research has shown that ARPP19 knockout in mice results in embryonic lethality, with embryos showing severe abnormalities by E8.5 and failed gastrulation, demonstrating its essential role in early development .
ARPP19 antibodies have been validated for multiple research applications across different experimental platforms:
It's important to note that experimental conditions may need optimization depending on your specific cell type or tissue of interest .
Based on manufacturer recommendations for ARPP19 antibodies, optimal storage and handling practices include:
Store at -20°C for long-term preservation; stable for one year after shipment
For short-term storage and frequent use, keep at 4°C for up to one month
Many ARPP19 antibodies are supplied in storage buffer containing PBS with 0.02% sodium azide and 50% glycerol (pH 7.3)
Avoid repeated freeze-thaw cycles as this can diminish antibody performance
Some antibody preparations (20μl sizes) may contain 0.1% BSA as a stabilizer
These handling practices are critical for maintaining antibody specificity and performance across experimental applications.
Selection between total and phospho-specific ARPP19 antibodies depends on your research question:
For Total ARPP19 Detection:
Use when measuring expression levels across different tissues or cell types
Suitable for immunoprecipitation experiments before analyzing phosphorylation status
Appropriate for detecting knockout/knockdown efficiency
Can be used to normalize phosphorylation signals in quantitative studies
For Phospho-Specific Detection:
Use phospho-S109 antibodies when studying PKA-mediated inhibition of meiotic maturation, as this phosphorylation is essential for maintaining oocyte prophase arrest
Use phospho-S67 antibodies when investigating mitotic regulation, as this modification by Greatwall kinase is critical for PP2A inhibition during M-phase
Phospho-antibodies require careful sample preparation to preserve phosphorylation states
Consider using phosphatase inhibitors during sample preparation
Research has demonstrated that ARPP19 phosphorylation state changes dynamically during cell cycle progression, with S109 dephosphorylation occurring within 60 minutes following progesterone treatment of Xenopus oocytes (49% reduction) .
Rigorous validation of ARPP19 antibodies should include:
Positive Controls:
Known positive cell lines: Jurkat, A375, and A549 cells express detectable levels of ARPP19
Tissue samples: Mouse brain and rat skeletal muscle tissue have validated ARPP19 expression
Recombinant ARPP19 protein: Can serve as a positive control and calibration standard
Negative Controls:
ARPP19 knockout/knockdown samples: Use Arpp19 Δ/Δ MEFs or CRISPR/Cas9 edited cell lines
Blocking peptide competition: Pre-incubation of antibody with immunizing peptide should abolish specific signal
Secondary-only controls: To detect non-specific binding of secondary antibodies
Specificity Verification:
Cross-reactivity testing: Confirm your antibody doesn't detect the closely related ENSA protein
Immunoblotting should show a band at the expected molecular weight (19 kDa)
For phospho-specific antibodies, treatment with lambda phosphatase should eliminate the signal
Research has shown that reliable detection of endogenous ARPP19 may require immunoprecipitation before Western blotting due to its low abundance (approximately 0.06 ng/μg total protein in MEFs) .
ARPP19 antibodies are valuable tools for investigating mitotic defects in knockout/knockdown models:
Experimental Approach:
Generate ARPP19-depleted cells (using CRISPR/Cas9, shRNA, or conditional knockout)
Assess mitotic progression using immunofluorescence microscopy with:
Anti-ARPP19 to confirm depletion
Anti-phospho-histone H3 to identify mitotic cells
Anti-BUBR1 to evaluate spindle assembly checkpoint activation
DNA staining to assess chromosome condensation and segregation
Expected Phenotypes Based on Research:
Arpp19 Δ/Δ MEFs exhibit multiple mitotic defects including:
Rescue Experiments:
Express wild-type ARPP19 or phosphorylation site mutants (S62A)
Monitor restoration of normal mitotic progression
Data shows that S62A mutant cannot rescue viability in ARPP19-depleted cells
When designing these experiments, it's important to note that ARPP19 depletion does not affect spindle assembly checkpoint activation, as evidenced by normal nocodazole-induced mitotic arrest and increased BUBR1 signal at kinetochores .
When working with phospho-specific ARPP19 antibodies, several methodological considerations are critical:
Sample Preparation:
Use phosphatase inhibitors (sodium fluoride, sodium orthovanadate, β-glycerophosphate) in lysis buffers
Process samples quickly at 4°C to prevent dephosphorylation
For cross-linking studies examining ARPP19-PP2A interactions, use reversible cross-linkers in lysis buffers containing DTT and EDTA (without Mg²⁺) to stabilize complexes while inactivating endogenous kinases
Antibody Selection:
For S109 phosphorylation (PKA site): Use anti-phospho-S109 antibodies that recognize the sequence CQDLPQRKPpSLVASK
For S67 phosphorylation (Greatwall site): Use anti-phospho-S67 antibodies specific to this regulatory site
Experimental Design:
Include positive controls: Progesterone treatment of Xenopus oocytes causes S109 dephosphorylation (49% reduction within 60 minutes)
Include negative controls: Non-phosphorylatable mutants (S109A or S67A) should not be recognized by the respective phospho-antibodies
Consider time-course experiments: ARPP19 phosphorylation states change dynamically during cell cycle progression
Signal Detection:
Due to low endogenous levels, immunoprecipitation before Western blotting may be necessary
In Xenopus oocytes, ARPP19 is progressively rephosphorylated at S109 after initial dephosphorylation, reaching or exceeding prophase levels at GVBD
These methodological considerations are essential for obtaining reliable and interpretable results when studying the complex regulation of ARPP19 phosphorylation.
When encountering challenges with ARPP19 antibody signals, systematic troubleshooting approaches include:
For Weak Signals:
Increase protein loading: Endogenous ARPP19 is often expressed at low levels (0.06 ng/μg total protein in MEFs)
Optimize antibody concentration: Test a range of dilutions around the recommended dilution
Enhance detection methods:
Consider immunoprecipitation: Enrich ARPP19 before detection - research shows endogenous ARPP19 is "hardly detectable by Western blotting, but clearly visible when immunoprecipitated"
Optimize blocking conditions: Test different blocking agents (BSA vs. milk)
For Non-specific Signals:
Cross-reactivity testing: Verify the antibody doesn't detect closely related proteins, particularly ENSA
Validation with knockout samples: Use Arpp19 Δ/Δ cells as negative controls
Optimize washing conditions: Increase wash duration or detergent concentration
Use freshly prepared samples: Degraded samples can increase background
Test different antibody batches: Quality can vary between lots
Application-Specific Solutions:
For IHC applications: Test different antigen retrieval methods - TE buffer pH 9.0 is recommended, with citrate buffer pH 6.0 as an alternative
For IF applications: Optimize fixation methods and permeabilization conditions
For phospho-specific antibodies: Ensure phosphatase inhibitors are included in all buffers
Implementing these troubleshooting approaches systematically can significantly improve both specificity and sensitivity when working with ARPP19 antibodies.
Different ARPP19 mutations require strategic antibody selection to effectively study their impact on cell cycle regulation:
Phosphorylation Site Mutants:
S62A/S67A mutants (non-phosphorylatable at the Greatwall site):
S109A/D mutants (affecting the PKA site):
Binding Site Mutants:
G72A mutant (increased PP2A-B55 affinity):
D70A mutant (rapid dephosphorylation of S67/S71):
Experimental Strategy:
For studying mutant effects on cell cycle, combine:
Total ARPP19 antibodies to confirm expression levels
Phospho-specific antibodies to track modification states
Cell cycle markers (phospho-histone H3, cyclins, Cdk substrates) to monitor progression
PP2A-B55 antibodies to assess interactions
This comprehensive approach enables mechanistic insights into how specific ARPP19 mutations affect its regulation of the cell cycle.
When conducting comparative studies across species, careful antibody selection is essential:
Species Reactivity Profiles:
The following table summarizes documented species reactivity for commercial ARPP19 antibodies:
Sequence Homology Considerations:
Human and mouse ARPP19 share high sequence homology, but epitope recognition should be confirmed experimentally
Epitope location is critical - the antibody against ARPP19 N-terminus (as described in ) was specifically designed not to cross-react with the related protein ENSA
For phospho-specific antibodies, verify conservation of the phosphorylation site across species
Validation Approaches:
Perform Western blot analysis on samples from each species of interest
Use species-specific positive controls (e.g., mouse brain tissue for mouse studies)
Consider using recombinant His-ARPP19 as a calibration standard
For knockout validation, Arpp19 Δ/Δ MEFs provide an excellent negative control for mouse studies
Cross-Reactivity Testing:
Test for cross-reactivity with ENSA, which shares significant homology with ARPP19
Verify specificity using knockout samples from each species when available
For phospho-antibodies, consider species differences in kinase recognition motifs
These considerations ensure valid cross-species comparisons when studying ARPP19 function in evolutionary and comparative biology contexts.
To study ARPP19-PP2A interactions during cell cycle progression:
Co-Immunoprecipitation Protocol:
Prepare cell lysates in a buffer containing reversible cross-linker to stabilize PP2A-ARPP19 complexes
Use conditions that inactivate endogenous kinases (DTT, EDTA, without Mg²⁺)
Immunoprecipitate using anti-ARPP19 antibodies
Analyze precipitates by Western blotting with:
Anti-PP2A catalytic subunit antibodies
Anti-PP2A regulatory subunit antibodies (especially B55δ)
Anti-phospho-S67/S62 ARPP19 antibodies
Temporal Analysis During Cell Cycle:
Synchronize cells at different cell cycle stages using standard protocols
Perform co-IP at defined timepoints to track dynamic interactions
Analyze phosphorylation status of ARPP19 concurrent with PP2A binding
Mutant Studies:
Compare wild-type ARPP19 with:
Competition Assays:
Use increasing amounts of wild-type GST-ARPP to study dose-dependent effects on meiotic resumption
Research shows high amounts of WT-GST-ARPP block meiotic resumption in a dose-dependent manner
These approaches provide mechanistic insights into how ARPP19 phosphorylation regulates its interaction with PP2A during cell cycle transitions.
For quantitative analysis of ARPP19 phosphorylation dynamics:
Quantitative Western Blotting:
Use recombinant His-ARPP19 as a calibration standard
Create a standard curve with known amounts (research shows endogenous ARPP19 is approximately 0.06 ng/μg total protein in MEFs)
Normalize phospho-signals to total ARPP19 levels
Use digital imaging systems with linear detection range
Apply appropriate statistical analysis to replicate experiments
Phosphorylation Kinetics Assessment:
For S109 dephosphorylation: Research shows progesterone treatment of Xenopus oocytes causes 49% reduction (s.d.=19, n=4) within 60 minutes
For re-phosphorylation dynamics: Track progressive rephosphorylation reaching prophase levels at GVBD
For S67/S71 dephosphorylation: Use autoradiography of in vitro phosphorylated mutants in kinase-inactivated egg extracts
Time-Course Analysis Example:
Measure relative ARPP19 phosphorylation at different timepoints after treatment:
| Time after Progesterone (min) | Relative p-S109 ARPP19 (% of prophase level) | Stage |
|---|---|---|
| 0 | 100% | Prophase |
| 60 | ~51% (49% reduction) | Pre-GVBD |
| GVBD | ≥100% | GVBD |
Imaging-Based Quantification:
For single-cell analysis, use quantitative immunofluorescence
Normalize to appropriate housekeeping proteins
Consider advanced approaches like FRET-based sensors for real-time dynamics
These quantitative approaches enable precise measurement of ARPP19 phosphorylation dynamics during cell cycle transitions and in response to experimental manipulations.
When using ARPP19 antibodies in developmental research, comprehensive controls are essential:
Genotype Verification Controls:
For Arpp19 knockout studies: Confirm genotype using PCR and validate protein absence using Western blotting with ARPP19 antibodies
For conditional knockouts: Verify Cre-mediated excision efficiency in specific tissues
Developmental Stage-Specific Controls:
Use stage-matched wild-type embryos alongside experimental samples
In mice, embryonic lethality occurs by E8.5 in Arpp19 Δ/Δ embryos, with 100% showing severe abnormalities
For cell type-specific analyses, include differentiation markers appropriate to developmental stage
Functional Rescue Controls:
Test rescue with wild-type ARPP19 versus phosphorylation site mutants
Research shows S62A mutant fails to rescue viability in ARPP19-depleted cells
Include appropriate vector-only controls
Expression Pattern Controls:
Use Arpp19 gene reporter mice (e.g., lacZ-trapping element) to determine expression patterns during embryogenesis
Validate reporter expression with antibody staining when possible
Tissue-Specific Controls:
For immunohistochemistry: Include positive control tissues (human adrenal gland and placenta have been validated)
For mitotic analysis in embryonic tissue: Use anti-phosphorylated histone H3 antibody to identify mitotic cells
Research shows significant increase in mitotic cells in the epidermal basal layer of Arpp19-depleted embryos
Technical Controls:
Include secondary-only controls for all immunostaining
For phospho-antibodies: Include lambda phosphatase-treated samples as negative controls
Use isotype controls to control for non-specific binding
These comprehensive controls ensure reliable interpretation of ARPP19 functions in developmental contexts.
When encountering discrepancies between different detection methods:
Common Discrepancies and Interpretation:
Discrepancy between Western blot and immunostaining:
Variations between phospho-specific and total antibody signals:
Consider rapid phosphorylation/dephosphorylation dynamics
Phosphatase activity during sample preparation can reduce phospho-signals
In Xenopus oocytes, S109 dephosphorylation occurs within 60 minutes (49% reduction) followed by rephosphorylation
Solution: Use phosphatase inhibitors and rapid sample processing
Discrepancy between endogenous versus overexpressed ARPP19:
Inconsistent results across species:
Confirm antibody cross-reactivity with the species being studied
Consider epitope conservation across species
Solution: Validate each antibody with species-specific positive controls
Reconciliation Approach:
Validate antibody in each application separately
Use multiple antibodies targeting different epitopes
Include appropriate positive and negative controls
Complement antibody-based detection with other methods (mass spectrometry, activity assays)
Consider the biological context of each experimental system
This systematic approach helps resolve discrepancies and ensures reliable interpretation of ARPP19 data across different detection methods.
For accurate quantification of ARPP19 in low-expression samples:
Sample Enrichment Strategies:
Immunoprecipitation before Western blotting:
Subcellular fractionation:
Concentrate ARPP19 by isolating relevant cellular compartments
Nuclear/cytoplasmic fractionation can increase detection sensitivity
Optimized Detection Methods:
Specialized gel systems:
Enhanced chemiluminescence:
Use high-sensitivity substrates for Western blotting
Optimize exposure times for weak signals without saturating standards
Quantification Approaches:
Standard curve calibration:
Use recombinant His-ARPP19 as calibration standard
Create standard curves with concentrations spanning expected sample range
Internal controls:
Include loading controls appropriate for the sample type
Normalize to housekeeping proteins with similar abundance to ARPP19
Digital imaging analysis:
Use systems with high dynamic range and sensitivity
Apply appropriate background subtraction methods
Consider analyzing multiple exposure times to ensure signals are in linear range
Technical Considerations:
Avoid membrane stripping which can reduce sensitivity
Use PVDF membranes which typically offer better protein retention than nitrocellulose
Consider fluorescent secondary antibodies for more precise quantification
Account for sample-to-sample variability by analyzing biological replicates
These approaches enable reliable quantification of ARPP19 even in samples with naturally low expression levels.
Distinguishing ARPP19 from its close homolog ENSA is critical for accurate experimental interpretation:
Antibody Selection Strategy:
Use antibodies specifically designed not to cross-react with ENSA, such as those targeting the N-terminus of ARPP19
Validate antibody specificity using overexpression and knockout controls for both ARPP19 and ENSA
Consider using epitope-tagged versions when studying overexpressed proteins
Molecular Weight Discrimination:
ENSA: 13-15 kDa (depending on the isoform)
Use high-resolution gel systems (15.5% Tris-Tricine gels) for optimal separation
Genetic Approaches:
Use specific siRNA/shRNA targeting unique regions of each transcript
Employ Arpp19 Δ/Δ MEFs as a model system lacking ARPP19 but retaining ENSA
Create CRISPR/Cas9 knockout models for each protein separately
Functional Discrimination:
Expression Pattern Analysis: