Recombinant Mouse Prostatic Acid Phosphatase (Acpp), also known as PAP, is an enzyme that belongs to the family of acid phosphatases. It catalyzes the hydrolysis of phosphate monoesters and phosphorylated proteins . Acpp exhibits optimal activity in acidic conditions, specifically within a pH range of 4 to 6, and its activity is inhibited by L(+)-tartrate .
Acpp is predominantly expressed in the prostate, with lower expression levels in other tissues . It exists in both secreted and transmembrane isoforms, which share identical N-terminal regions but differ at the C-terminus due to the presence or absence of a transmembrane domain . As a type I integral membrane protein, Acpp is found in the plasma membrane and lysosomes . The enzyme is a glycoprotein composed of two subunits, with a total molecular weight of approximately 100 kDa .
Recombinant Mouse Acpp can be produced using various expression systems, including the baculovirus expression system . This involves introducing the Acpp gene into insect cells, which then produce the recombinant protein. The recombinant protein can be purified for research and experimental use .
Ectonucleotidase Activity: Acpp functions as an ectonucleotidase, hydrolyzing extracellular nucleotides . Recombinant mouse Acpp dephosphorylates AMP (adenosine monophosphate) and, to a lesser extent, ADP (adenosine diphosphate) at neutral pH (7.0). Under acidic conditions (pH 5.6), it dephosphorylates all purine nucleotides, including AMP, ADP, and ATP (adenosine triphosphate) .
Antinociceptive Effects: Studies have demonstrated that Acpp has antinociceptive properties. Intraspinal injection of recombinant mouse Acpp in animal models has shown long-lasting antihyperalgesic and antiallodynic effects in inflammatory pain models . These effects are mediated by A1-adenosine receptor (A1R) activation, suggesting that Acpp dephosphorylates nucleotides to produce adenosine, which then acts on A1R to reduce pain .
Tumor Suppressor Role: In prostate cancer, cellular Acpp (cPAcP) functions as a protein tyrosine phosphatase, which can dephosphorylate ErbB-2/Neu/HER-2, leading to reduced tumorigenicity . The level of cPAcP is decreased in prostate cancer cells compared to non-cancerous cells . Increasing cPAcP expression in prostate cancer cells diminishes their growth rates, while decreasing cPAcP expression increases growth rates and tumorigenicity .
Regulation of Androgen Sensitivity: Acpp also influences the androgen sensitivity of prostate cancer cells. Reduced cPAcP expression can lead to castration-resistant phenotypes, where cells proliferate even under androgen-reduced conditions .
Prostate Cancer Marker: ACPP levels are elevated in the circulation of prostate cancer patients, making it a marker for the progression of prostate cancer .
Therapeutic Potential: Recombinant PAP protein can be used to treat chronic pain in animal models .
Understanding Cancer Progression: Further research into the function and regulation of Acpp expression may improve the understanding of prostate cancer progression and therapy .
Mouse Prostatic Acid Phosphatase (ACPP) is a non-specific tyrosine phosphatase that dephosphorylates various substrates under acidic conditions (pH 4-6), including alkyl, aryl, and acyl orthophosphate monoesters and phosphorylated proteins. It belongs to the histidine acid phosphatase family of enzymes . The protein is also known by several other names including ACP3, PAP, and Acid Phosphatase Prostate .
Mouse ACPP is a glycoprotein with a molecular mass of approximately 42 KDa in its monomeric form, though it appears as approximately 47 KDa in SDS-PAGE analysis due to glycosylation . It exists as a 95-100 kDa non-disulfide-linked homodimer that hydrolyzes phosphate esters under low pH to generate free phosphate . The recombinant mouse ACPP consists of 361 amino acids and contains a histidine phosphatase domain (aa 34-332) .
Mouse ACPP shares approximately 84% amino acid identity with human ACPP over amino acids 33-379 . Despite this high level of sequence conservation, there are some structural and functional differences:
| Feature | Mouse ACPP | Human ACPP |
|---|---|---|
| Amino Acid Length | 381 amino acids | 386 amino acids |
| Molecular Weight | ~42-47 kDa | ~48-52 kDa |
| Sequence Homology | - | 84% identity with mouse ACPP |
| Key Domains | Histidine phosphatase domain (aa 34-332) | Histidine phosphatase domain (aa 34-332) |
| Active Sites | Contains nucleophile acceptor and proton donor sites | Contains nucleophile acceptor site at His44 and proton donor site at Asp290 |
Both mouse and human ACPP function optimally in acidic conditions (pH 4-6) and are inhibited by L(+)-tartrate . They both have roles in dephosphorylating various substrates, though their tissue-specific functions may vary slightly based on expression patterns .
For optimal enzymatic activity of recombinant mouse ACPP in experimental settings, researchers should consider the following conditions:
pH Range: ACPP shows optimal activity at acidic pH between 4-6
Buffer System: Phosphate-buffered saline (pH 7.4) containing 10% glycerol for storage, but acidic buffers for activity assays
Temperature: While not explicitly stated in the search results, most enzymatic assays with ACPP are conducted at 37°C
Inhibitors: Activity is inhibited by L(+)-tartrate, which can be used as a control in experiments
Substrate Selection: Various phosphate monoesters can serve as substrates, with different kinetic properties
Storage Conditions: For maintaining enzyme stability, store at 2-8°C for short-term (1 week) or at -20°C to -80°C for long-term storage to avoid repeated freeze-thaw cycles
When designing experiments, it's important to account for these conditions to ensure optimal enzyme activity and reliable results.
Several expression systems have been utilized to produce recombinant mouse ACPP with varying degrees of success:
The choice of expression system significantly impacts the properties of the recombinant protein, particularly its glycosylation pattern. Recombinant mouse ACPP expressed in human cells shows a molecular mass of approximately 47 KDa on SDS-PAGE due to glycosylation, whereas the predicted mass based on amino acid sequence is 42 KDa . For research requiring high enzymatic activity, expression systems that maintain proper protein folding and post-translational modifications are preferred.
When measuring mouse ACPP enzymatic activity, researchers should consider several methodological aspects:
Control temperature and ionic strength of reaction buffer
Include appropriate controls (positive, negative, and inhibition controls with L(+)-tartrate)
Choose appropriate substrates based on research questions
Common substrates include phosphorylated proteins, AMP (in neuronal studies), and synthetic substrates like p-nitrophenyl phosphate
Consider substrate specificity and kinetic parameters
Spectrophotometric assays for colorimetric substrates
HPLC or mass spectrometry for complex biological samples
Radiometric assays for high sensitivity applications
Determine kinetic parameters (Km, Vmax) under various conditions
Account for potential interfering phosphatases in complex samples
Use appropriate statistical methods for comparing activity across experimental groups
For accurate measurements, researchers should ensure that the enzyme concentration is within the linear range of the assay and that substrate depletion does not exceed 10-15% during the reaction period.
Recombinant mouse ACPP serves as a valuable tool in cancer research, particularly in studying prostate cancer mechanisms:
Tumor Suppressor Function Investigation:
Mouse ACPP can be used to study the tumor suppressor function observed with its human counterpart. Cellular ACPP has been shown to function as a protein tyrosine phosphatase with substrates including epidermal growth factor receptor and HER-2 . Researchers can use recombinant ACPP to:
Investigate phosphorylation-dependent signaling pathways
Study the effects of ACPP on cell proliferation and apoptosis
Examine interactions with other cancer-related proteins
Use as a standard in developing quantitative assays for ACPP detection
Validate antibodies and other detection reagents
Establish threshold values for diagnostic applications
Include appropriate controls when expressing recombinant ACPP in cell lines
Consider the differences between secreted and cellular forms of ACPP
Account for the effects of the His-tag or other fusion tags on protein activity and interactions
Design experiments that distinguish between effects of enzymatic activity versus protein-protein interactions
Researchers should note that while elevated levels of secreted ACPP correlate with prostate cancer progression, cellular ACPP often shows decreased expression, suggesting complex regulation mechanisms that require careful experimental design .
ACPP plays a significant role in pain modulation, particularly in spinal cord neurons where it dephosphorylates AMP to generate adenosine, a potent analgesic agent . Researchers investigating this function can employ several approaches:
Enzymatic assays measuring the conversion of AMP to adenosine by recombinant ACPP
Cell culture models of pain-sensing neurons expressing ACPP
Patch-clamp techniques to assess adenosine receptor activation
Transgenic mouse models with modified ACPP expression
Behavioral pain assessments following manipulation of ACPP activity
Microdialysis to measure adenosine levels in the spinal cord
Use of specific ACPP inhibitors to block adenosine production
Administration of recombinant ACPP to assess direct analgesic effects
Combination studies with adenosine receptor agonists/antagonists
Calcium imaging to visualize neuronal responses
Immunohistochemistry to map ACPP expression in pain pathways
In vivo imaging of ACPP activity using specialized probes
These methodologies can help elucidate the molecular mechanisms by which ACPP contributes to pain modulation and potentially identify new therapeutic targets for pain management.
Optimizing purification strategies is critical for obtaining high-activity recombinant mouse ACPP:
His-tag purification is commonly used for recombinant mouse ACPP with a C-terminal polyhistidine tag
Immobilized metal affinity chromatography (IMAC) with Ni-NTA or Co-NTA resins
Consider using low imidazole concentrations in wash buffers to reduce non-specific binding
Size exclusion chromatography to separate monomeric and dimeric forms
Ion exchange chromatography for further purification
Removal of affinity tags if they interfere with activity
Maintain pH conditions that preserve protein stability (typically pH 7-7.5 for storage)
Consider adding reducing agents to prevent oxidation of cysteine residues
Avoid phosphate buffers during purification if phosphate can interfere with downstream applications
Verify identity by mass spectrometry or western blotting
Measure specific activity using standard enzyme assays
Check for endotoxin contamination, especially for in vivo applications (<1 EU per μg protein)
Following these strategies can help researchers obtain highly pure and active recombinant mouse ACPP with a specific activity suitable for detailed enzymatic studies.
Developing effective antibodies against mouse ACPP requires careful consideration of several factors:
Full-length recombinant protein vs. peptide fragments
Consideration of glycosylation state and other post-translational modifications
Monoclonal antibodies offer high specificity and reproducibility
Polyclonal antibodies may recognize multiple epitopes but with potential cross-reactivity
Western blotting against recombinant protein and native tissue samples
Immunohistochemistry on tissues known to express ACPP (prostate tissue)
ELISA to determine sensitivity and specificity
Testing for cross-reactivity with human ACPP or other phosphatases
For IHC applications, test different fixation methods and antigen retrieval techniques
For ELISA, optimize antibody pairs for capture and detection
For IP applications, test binding capacity under native conditions
Cross-reactivity with other acid phosphatases
Recognizing both glycosylated and non-glycosylated forms
Maintaining epitope accessibility in fixed tissues
When selecting commercial antibodies, researchers should review validation data carefully and consider antibodies that have been validated for their specific application of interest.
Distinguishing ACPP activity from other phosphatases in biological samples is critical for accurate experimental results. Researchers can employ several strategies:
L(+)-tartrate inhibits ACPP specifically at certain concentrations
pH-dependent activity profiling (ACPP is most active at pH 4-6)
Use of phosphatase inhibitor cocktails that selectively spare or inhibit ACPP
Deplete samples of ACPP using specific antibodies before activity assays
Compare activity before and after immunodepletion
Use substrates preferentially cleaved by ACPP
Develop assays based on kinetic parameters unique to ACPP
Include purified recombinant mouse ACPP as positive controls
Create standard curves for quantitative assessment
Use samples from ACPP knockout models as negative controls
Compare wild-type and ACPP-deficient samples
Employ statistical deconvolution of mixed phosphatase activities
Use pattern recognition algorithms to identify ACPP-specific activity signatures
By combining these approaches, researchers can achieve higher specificity in measuring ACPP activity even in complex biological samples containing multiple phosphatases.
Effective experimental design for studying ACPP function in vivo requires careful planning and consideration of various factors:
Choose appropriate mouse models based on research questions
Consider genetic background effects on ACPP expression and function
Evaluate transgenic, knockout, or conditional models
Include appropriate age and sex-matched controls
Consider littermate controls to minimize genetic variation
Use sham operations or vehicle treatments for intervention studies
Randomly assign animals to experimental groups to reduce bias
Implement blinding procedures for treatment administration and outcome assessment
Perform power analysis to determine appropriate sample sizes
Account for anticipated attrition or exclusions
Consider effect size based on preliminary data or literature
Identify independent variables (e.g., ACPP expression levels, treatments)
Define dependent variables (outcomes to be measured)
Establish standardized protocols for tissue collection and processing
Determine appropriate timepoints for measurements
Plan for both interim and endpoint analyses
When facing contradictory findings regarding ACPP expression across different experimental models, researchers should consider several potential sources of variation:
Antibody specificity and sensitivity differences
Detection method variations (qPCR, Western blot, IHC)
Sample preparation methods affecting protein stability
Cellular versus secreted forms of ACPP may show different patterns
Post-translational modifications affecting detection
Expression of alternative splice variants (e.g., the transmembrane form previously called TMPase)
Developmental or hormonal regulation of expression
In vitro versus in vivo models showing different regulation
Acute versus chronic experimental conditions
Influence of microenvironment and cell-cell interactions
Employ multiple detection methods to cross-validate findings
Carefully document experimental conditions that may influence expression
Consider tissue heterogeneity and cell-specific expression patterns
Examine protein function rather than just expression levels
Investigate regulatory mechanisms that might explain contextual differences
Perform meta-analysis of published data to identify patterns
Understanding that ACPP has multiple forms and functions can help reconcile seemingly contradictory findings. For example, while secreted ACPP may increase in certain cancer models, cellular ACPP often decreases, suggesting distinct regulatory mechanisms and functions for each form .
Measures of central tendency (mean, median) and dispersion (standard deviation, range)
Visualization through box plots, scatter plots, or histograms
Check for normal distribution using Shapiro-Wilk or Kolmogorov-Smirnov tests
For comparing two groups: t-test (parametric) or Mann-Whitney U test (non-parametric)
For multiple groups: ANOVA with appropriate post-hoc tests (Tukey, Bonferroni)
For repeated measures: repeated measures ANOVA or mixed-effects models
Linear regression for examining relationships between ACPP activity and continuous variables
Multiple regression when considering several predictor variables
Non-linear regression for enzyme kinetics data (Michaelis-Menten equations)
Enzyme kinetics analysis (determination of Km, Vmax, kcat)
Inhibition constant (Ki) determination for inhibitor studies
Global fitting approaches for complex kinetic mechanisms
Determine minimum sample size needed for detecting meaningful differences
Report effect sizes along with p-values
Consider corrections for multiple comparisons (e.g., Bonferroni, False Discovery Rate)
Use structurally diverse inhibitors targeting ACPP
Compare effects of specific versus broad-spectrum phosphatase inhibitors
Establish dose-response relationships for inhibitor effects
Compare pharmacological inhibition with genetic knockdown/knockout effects
Use siRNA or CRISPR-Cas9 to reduce ACPP expression
Rescue experiments with inhibitor-resistant ACPP mutants
Examine effects on known ACPP substrates versus non-substrates
Monitor multiple downstream pathways to assess specificity
Use phosphoproteomic approaches to identify off-target effects
Test inhibitor effects on related phosphatases
Include structurally similar enzymes as specificity controls
Measure activity of house-keeping enzymes to assess general cellular toxicity
Thermal shift assays to confirm direct binding to ACPP
Competitive binding assays with known ACPP ligands
Microscale thermophoresis or surface plasmon resonance to measure binding affinity
Test in cell-free systems with purified recombinant ACPP
Validate in cell culture models
Confirm in relevant in vivo models when possible
By implementing these validation strategies, researchers can increase confidence that observed effects are specifically due to ACPP inhibition rather than off-target effects or general toxicity.
Maintaining the enzymatic activity of recombinant mouse ACPP requires careful attention to storage and handling practices:
Avoid repeated freeze-thaw cycles which can lead to protein denaturation
Keep samples on ice during experiments
Store at -20°C to -80°C in small aliquots to prevent freeze-thaw damage
Include cryoprotectants such as glycerol (10-15%) in storage buffer
Consider lyophilization for extended stability when appropriate
Typical storage buffer includes phosphate-buffered saline (pH 7.4) with 10% glycerol
Consider adding reducing agents to prevent oxidation
Avoid phosphate buffers if they interfere with downstream applications
Minimize exposure to extreme temperatures or pH conditions
Avoid vigorous shaking or vortexing which can cause protein denaturation
Use low-protein binding tubes to prevent adsorption losses
Add protease inhibitors to prevent degradation
Include stabilizing excipients like bovine serum albumin when diluting
Filter-sterilize preparations to prevent microbial contamination
Periodically verify enzyme activity using standard assays
Monitor protein integrity by SDS-PAGE
Check for precipitates or visible changes in solution appearance
By following these best practices, researchers can maintain the functional integrity of recombinant mouse ACPP and ensure consistent experimental results across studies.