The PRUNE2 antibody is a research tool used to detect the PRUNE2 protein, a tumor suppressor gene product with roles in regulating cell proliferation, adhesion, and migration. PRUNE2 is encoded by the PRUNE2 gene (also known as BMCC1), which overlaps with the PCA3 long noncoding RNA locus. The antibody is widely employed in studies investigating cancer biology, particularly prostate and colorectal cancers, due to PRUNE2’s established tumor-suppressive functions .
PRUNE2 encodes a 340 kDa protein containing functional domains (BCH, DHHA2, PPX1) that interact with signaling pathways, including Rho GTPases and MAPK . The antibody targets isoforms or cleaved fragments of PRUNE2, specifically recognizing a 140–150 kDa band . This specificity is critical for distinguishing PRUNE2 from other paralogs or cross-reactive proteins.
Tumor Suppression: Overexpression of PRUNE2 inhibits cancer cell proliferation and tumor growth, while silencing promotes malignancy .
PCA3 Regulation: PRUNE2 is negatively regulated by the antisense lncRNA PCA3 via ADAR-mediated RNA editing, forming a double-stranded RNA complex that destabilizes PRUNE2 mRNA .
Cancer Prognosis: Low PRUNE2 expression correlates with poor relapse-free survival in colorectal cancer and is observed in aggressive prostate cancer .
Cancer Type | PRUNE2 Expression | Outcome |
---|---|---|
Prostate Cancer | Decreased in tumors | Early event in tumorigenesis |
Colorectal Cancer | Low in CRC vs. normal | Poor prognosis |
Neuroblastoma | High expression | Favorable prognosis |
The antibody is validated for:
PRUNE2 (prune homolog 2) is a protein with multiple functional domains including BCH, DHHA2, and PPX1. The protein plays a crucial role in regulating cellular processes including morphogenesis, differentiation, motility and apoptosis by interacting with components of signaling networks such as Rho, Ras and MAPK pathways . The calculated molecular weight of this protein is approximately 340 kDa, although commercial antibodies typically recognize a 140-150 kDa band, which likely represents an isoform or cleaved fragment of PRUNE2 .
PRUNE2 functions as a tumor suppressor in multiple cancer types:
In prostate cancer, it is regulated by PCA3 (prostate cancer antigen 3), a long non-coding RNA that forms a double-stranded RNA with PRUNE2 pre-mRNA, leading to ADAR-dependent adenosine-to-inosine RNA editing
In colorectal cancer, PRUNE2 overexpression decreases cell proliferation and invasion, increases apoptosis, arrests cell cycle, and reduces tumorigenicity
In neuroblastoma, higher PRUNE2 expression correlates with favorable prognosis
When investigating PRUNE2 in cancer contexts, researchers should consider both transcriptional regulation and post-translational modifications that may affect protein function.
PRUNE2 antibodies have been validated for multiple research applications:
Application | Validated | Dilution Recommendation |
---|---|---|
Western Blot (WB) | Yes | Application-dependent |
Immunohistochemistry (IHC) | Yes | 1:50-1:500 |
Immunofluorescence (IF) | Yes | Application-dependent |
Immunoprecipitation (IP) | Yes | Application-dependent |
ELISA | Yes | Application-dependent |
For immunohistochemistry applications, antigen retrieval may be performed with either:
When performing IHC, successful detection has been reported in human liver cancer tissue . For optimal results, researchers should titrate the antibody concentration in each experimental system and include appropriate positive and negative controls to validate specificity.
This apparent molecular weight discrepancy is a common source of confusion in PRUNE2 research. While the calculated molecular weight based on the full protein sequence is approximately 340-341 kDa, commercial antibodies typically recognize a 140-150 kDa band . This difference is due to one of several possibilities:
Isoform detection: PRUNE2 may exist in multiple isoforms due to alternative splicing, and the antibody may be detecting a specific isoform
Protein processing: PRUNE2 may undergo post-translational processing, resulting in cleaved fragments
Protein degradation: The full-length protein may be unstable during sample preparation
When validating PRUNE2 antibodies in your experimental system, consider running:
Positive controls from tissues known to express PRUNE2 (e.g., brain tissue)
Negative controls using PRUNE2 knockdown or knockout samples
Recombinant PRUNE2 protein standards if available
This validation is particularly important when studying different tissue types, as expression patterns may vary significantly between neural tissues (where expression is typically high) and other tissues where expression may be lower .
The PRUNE2/PCA3 relationship represents a fascinating regulatory mechanism in prostate cancer biology:
Genomic relationship: PCA3 (prostate cancer antigen 3) is a long non-coding RNA located within intron 6 of the PRUNE2 gene and transcribed in the antisense direction
Regulatory mechanism: PCA3 forms a double-stranded RNA with PRUNE2 pre-mRNA, which undergoes adenosine deaminase acting on RNA (ADAR)-dependent adenosine-to-inosine RNA editing
Expression pattern: In prostate cancer tissues, PCA3 is typically upregulated while PRUNE2 is downregulated compared to adjacent normal prostate tissue
Functional consequences:
Clinical relevance: While the reciprocal expression pattern is consistent across tumor grades and stages, studies have not found an association between the relative expression levels of PCA3 or PRUNE2 and time to disease recurrence
This regulatory axis highlights the importance of considering both coding and non-coding elements when studying PRUNE2 expression in prostate cancer contexts.
Rigorous validation of PRUNE2 antibodies is essential due to the complexity of this protein (multiple domains, potential isoforms, and large size). Comprehensive validation should include:
Genetic validation approaches:
PRUNE2 knockout using CRISPR-Cas9
For example, in colorectal cancer research, SW620 and HT29 cells have been successfully transfected with PRUNE2 shRNA or PRUNE2/pcDNA3.1 vector to modulate expression levels .
Biochemical validation:
Peptide competition assays
Detection of recombinant protein
Mass spectrometry verification of immunoprecipitated proteins
Cross-validation with multiple antibodies:
Compare results from antibodies targeting different epitopes
Evaluate specificity across different applications (WB, IHC, IF)
Cell/tissue expression profiling:
Compare protein detection with known mRNA expression patterns
Test in tissues with known high expression (brain, cerebellum, spinal cord)
Test in cell lines with varying expression (neuroblastoma, rhabdomyosarcoma, melanoma, and osteosarcoma cell lines show high expression; liver, breast, thyroid, and colon cancer cell lines show low expression)
When publishing PRUNE2 research, include comprehensive antibody validation data to enhance reproducibility and reliability of findings.
Accurate quantification of PRUNE2 expression in clinical samples poses several technical challenges that require specialized approaches:
RNA-based quantification:
qRT-PCR with multiple primer sets targeting different exons
Use of appropriate housekeeping genes (multiple controls recommended)
RNA-Seq analysis with attention to isoform-specific expression
In published studies, researchers have used TaqMan gene expression assays with multiple control genes for validation. For example, in one study, nine duplex mixes for PRUNE2 (PR1C1, PR1C2, PR1C3, etc.) were used with three different control genes to ensure robust quantification .
Protein-based quantification:
Western blot analysis with normalization to loading controls
Densitometry analysis of immunohistochemistry
Multi-parameter flow cytometry for cell-based studies
Tissue preparation considerations:
Data analysis approaches:
For clinical studies, researchers should report detailed methodologies and consider the impact of pre-analytical variables (tissue collection, fixation time, storage conditions) on PRUNE2 quantification.
The tumor suppressive properties of PRUNE2 operate through multiple molecular mechanisms:
Modulation of signaling pathways:
Regulation of apoptosis:
Cell cycle regulation:
Genomic alterations:
Post-transcriptional regulation:
When designing experiments to study PRUNE2's molecular functions, researchers should consider both genetic approaches (manipulation of expression) and biochemical techniques (protein interaction studies, signaling pathway analysis) to comprehensively characterize its role in specific cancer contexts.
The PRUNE2/PCA3 regulatory axis represents a sophisticated example of gene regulation through RNA-RNA interactions:
Genomic architecture:
Double-stranded RNA formation:
RNA editing mechanism:
Experimental evidence for this mechanism:
Ectopic PCA3 expression decreases endogenous PRUNE2 protein, pre-mRNA, and mRNA levels
PCA3 silencing increases PRUNE2 levels
Expression of a PRUNE2 construct lacking complementarity to PCA3 is not affected by PCA3 levels
Expression of intron6-PRUNE2 (containing PCA3-complementary sequence but no protein-coding sequence) can sequester PCA3 and increase endogenous PRUNE2 mRNA in the cytoplasm
Cell type specificity:
To study this mechanism, researchers can employ approaches such as RNA immunoprecipitation, RNA editing site analysis, subcellular fractionation, and targeted manipulation of the complementary RNA regions.
Investigating PRUNE2 presents several technical challenges that researchers should address with specialized approaches:
Protein size and detection issues:
Multiple isoforms and processing variants:
PRUNE2 exists in multiple isoforms
Post-translational processing may generate different protein fragments
Researchers should consider isoform-specific detection methods
Spatial expression patterns:
Regulatory complexities:
The antisense PCA3 lncRNA regulation adds complexity to expression analysis
RNA editing events need specialized detection methods
Consider analyzing both PRUNE2 and PCA3 simultaneously for complete understanding
Experimental models:
To address these challenges, researchers should implement:
Multiple detection methods (RNA and protein-based)
Isoform-specific analysis approaches
Careful selection of experimental models based on expression patterns
Comprehensive controls for antibody specificity and knockdown efficiency
For successful PRUNE2 immunohistochemistry, the following optimized protocol has been validated in research settings:
Tissue fixation and processing:
Fix tissues in 10% neutral buffered formalin
Process and embed in paraffin following standard protocols
Section tissues at 4-5 μm thickness
Antigen retrieval (critical for PRUNE2 detection):
Blocking and antibody incubation:
Block endogenous peroxidase/phosphatase activity with 3% H₂O₂ for 10 min at room temperature
Block with 5% goat serum in PBS for 15 min at room temperature
Incubate with PRUNE2 antibody (1:50-1:500 dilution, optimize for your specific tissue) overnight at 4°C
Incubate with HRP-conjugated secondary antibody (e.g., 1:200 dilution) for 1.5 h at room temperature
Visualization and counterstaining:
Quantification approaches:
Including both positive controls (tissues known to express PRUNE2) and negative controls (antibody omission and PRUNE2-low tissues) is essential for validating staining specificity.
Designing robust experiments to study PRUNE2 function requires careful consideration of several methodological aspects:
Genetic manipulation approaches:
Functional assays to assess tumor suppressive activity:
Molecular mechanism studies:
Protein interaction partners: Co-immunoprecipitation, proximity ligation assays
Signaling pathway analysis: Western blot for key signaling molecules
RNA regulation: RNA immunoprecipitation, RNA editing site analysis
Experimental design considerations:
Include multiple cell lines with varying endogenous PRUNE2 expression
Implement appropriate controls (empty vector, non-targeting shRNA)
Use rescue experiments to confirm specificity of observed effects
Consider the impact of PCA3 expression when working with prostate cancer models
Data analysis approaches:
Normalize data to appropriate controls
Use statistical methods suitable for each assay
Consider the temporal aspects of PRUNE2 effects
A comprehensive experimental approach examining both phenotypic effects and underlying molecular mechanisms will provide the most valuable insights into PRUNE2 function in cancer biology.
The literature contains some apparently contradictory findings regarding PRUNE2 expression patterns and functions. Researchers can employ several strategies to address these inconsistencies:
Comprehensive expression profiling:
Methodological standardization:
Employ multiple detection methods (qRT-PCR, RNA-Seq, IHC, Western blot)
Use clearly defined antibodies with validation data
Implement consistent sample processing protocols
Report detailed methodologies to enable reproduction
Context-specific analysis:
Resolution approaches for specific contradictions:
For conflicting findings regarding androgen regulation in prostate cancer, one study reported PRUNE2 as androgen-inducible in a small sample set, while a larger study found no androgen induction
Comparative analysis between androgen-dependent (LNCaP) and androgen-independent (DU145, PC3) cell lines can help resolve such contradictions
Integrated analysis:
Consider PRUNE2 in the context of its regulatory partners (e.g., PCA3)
Evaluate isoform-specific expression patterns
Assess post-translational modifications and protein stability
By implementing these approaches, researchers can develop a more nuanced understanding of PRUNE2's role across different cancer contexts and reconcile apparently contradictory findings in the literature.
PRUNE2 (prune homolog 2) is a protein with multiple functional domains including BCH, DHHA2, and PPX1. The protein plays a crucial role in regulating cellular processes including morphogenesis, differentiation, motility and apoptosis by interacting with components of signaling networks such as Rho, Ras and MAPK pathways . The calculated molecular weight of this protein is approximately 340 kDa, although commercial antibodies typically recognize a 140-150 kDa band, which likely represents an isoform or cleaved fragment of PRUNE2 .
PRUNE2 functions as a tumor suppressor in multiple cancer types:
In prostate cancer, it is regulated by PCA3 (prostate cancer antigen 3), a long non-coding RNA that forms a double-stranded RNA with PRUNE2 pre-mRNA, leading to ADAR-dependent adenosine-to-inosine RNA editing
In colorectal cancer, PRUNE2 overexpression decreases cell proliferation and invasion, increases apoptosis, arrests cell cycle, and reduces tumorigenicity
In neuroblastoma, higher PRUNE2 expression correlates with favorable prognosis
When investigating PRUNE2 in cancer contexts, researchers should consider both transcriptional regulation and post-translational modifications that may affect protein function.
PRUNE2 antibodies have been validated for multiple research applications:
Application | Validated | Dilution Recommendation |
---|---|---|
Western Blot (WB) | Yes | Application-dependent |
Immunohistochemistry (IHC) | Yes | 1:50-1:500 |
Immunofluorescence (IF) | Yes | Application-dependent |
Immunoprecipitation (IP) | Yes | Application-dependent |
ELISA | Yes | Application-dependent |
For immunohistochemistry applications, antigen retrieval may be performed with either:
When performing IHC, successful detection has been reported in human liver cancer tissue . For optimal results, researchers should titrate the antibody concentration in each experimental system and include appropriate positive and negative controls to validate specificity.
This apparent molecular weight discrepancy is a common source of confusion in PRUNE2 research. While the calculated molecular weight based on the full protein sequence is approximately 340-341 kDa, commercial antibodies typically recognize a 140-150 kDa band . This difference is due to one of several possibilities:
Isoform detection: PRUNE2 may exist in multiple isoforms due to alternative splicing, and the antibody may be detecting a specific isoform
Protein processing: PRUNE2 may undergo post-translational processing, resulting in cleaved fragments
Protein degradation: The full-length protein may be unstable during sample preparation
When validating PRUNE2 antibodies in your experimental system, consider running:
Positive controls from tissues known to express PRUNE2 (e.g., brain tissue)
Negative controls using PRUNE2 knockdown or knockout samples
Recombinant PRUNE2 protein standards if available
This validation is particularly important when studying different tissue types, as expression patterns may vary significantly between neural tissues (where expression is typically high) and other tissues where expression may be lower .
The PRUNE2/PCA3 relationship represents a fascinating regulatory mechanism in prostate cancer biology:
Genomic relationship: PCA3 (prostate cancer antigen 3) is a long non-coding RNA located within intron 6 of the PRUNE2 gene and transcribed in the antisense direction
Regulatory mechanism: PCA3 forms a double-stranded RNA with PRUNE2 pre-mRNA, which undergoes adenosine deaminase acting on RNA (ADAR)-dependent adenosine-to-inosine RNA editing
Expression pattern: In prostate cancer tissues, PCA3 is typically upregulated while PRUNE2 is downregulated compared to adjacent normal prostate tissue
Functional consequences:
Clinical relevance: While the reciprocal expression pattern is consistent across tumor grades and stages, studies have not found an association between the relative expression levels of PCA3 or PRUNE2 and time to disease recurrence
This regulatory axis highlights the importance of considering both coding and non-coding elements when studying PRUNE2 expression in prostate cancer contexts.
Rigorous validation of PRUNE2 antibodies is essential due to the complexity of this protein (multiple domains, potential isoforms, and large size). Comprehensive validation should include:
Genetic validation approaches:
PRUNE2 knockout using CRISPR-Cas9
For example, in colorectal cancer research, SW620 and HT29 cells have been successfully transfected with PRUNE2 shRNA or PRUNE2/pcDNA3.1 vector to modulate expression levels .
Biochemical validation:
Peptide competition assays
Detection of recombinant protein
Mass spectrometry verification of immunoprecipitated proteins
Cross-validation with multiple antibodies:
Compare results from antibodies targeting different epitopes
Evaluate specificity across different applications (WB, IHC, IF)
Cell/tissue expression profiling:
Compare protein detection with known mRNA expression patterns
Test in tissues with known high expression (brain, cerebellum, spinal cord)
Test in cell lines with varying expression (neuroblastoma, rhabdomyosarcoma, melanoma, and osteosarcoma cell lines show high expression; liver, breast, thyroid, and colon cancer cell lines show low expression)
When publishing PRUNE2 research, include comprehensive antibody validation data to enhance reproducibility and reliability of findings.
Accurate quantification of PRUNE2 expression in clinical samples poses several technical challenges that require specialized approaches:
RNA-based quantification:
qRT-PCR with multiple primer sets targeting different exons
Use of appropriate housekeeping genes (multiple controls recommended)
RNA-Seq analysis with attention to isoform-specific expression
In published studies, researchers have used TaqMan gene expression assays with multiple control genes for validation. For example, in one study, nine duplex mixes for PRUNE2 (PR1C1, PR1C2, PR1C3, etc.) were used with three different control genes to ensure robust quantification .
Protein-based quantification:
Western blot analysis with normalization to loading controls
Densitometry analysis of immunohistochemistry
Multi-parameter flow cytometry for cell-based studies
Tissue preparation considerations:
Data analysis approaches:
For clinical studies, researchers should report detailed methodologies and consider the impact of pre-analytical variables (tissue collection, fixation time, storage conditions) on PRUNE2 quantification.
The tumor suppressive properties of PRUNE2 operate through multiple molecular mechanisms:
Modulation of signaling pathways:
Regulation of apoptosis:
Cell cycle regulation:
Genomic alterations:
Post-transcriptional regulation:
When designing experiments to study PRUNE2's molecular functions, researchers should consider both genetic approaches (manipulation of expression) and biochemical techniques (protein interaction studies, signaling pathway analysis) to comprehensively characterize its role in specific cancer contexts.
For successful PRUNE2 immunohistochemistry, the following optimized protocol has been validated in research settings:
Tissue fixation and processing:
Fix tissues in 10% neutral buffered formalin
Process and embed in paraffin following standard protocols
Section tissues at 4-5 μm thickness
Antigen retrieval (critical for PRUNE2 detection):
Blocking and antibody incubation:
Block endogenous peroxidase/phosphatase activity with 3% H₂O₂ for 10 min at room temperature
Block with 5% goat serum in PBS for 15 min at room temperature
Incubate with PRUNE2 antibody (1:50-1:500 dilution, optimize for your specific tissue) overnight at 4°C
Incubate with HRP-conjugated secondary antibody (e.g., 1:200 dilution) for 1.5 h at room temperature
Visualization and counterstaining:
Quantification approaches:
Including both positive controls (tissues known to express PRUNE2) and negative controls (antibody omission and PRUNE2-low tissues) is essential for validating staining specificity.
Designing robust experiments to study PRUNE2 function requires careful consideration of several methodological aspects:
Genetic manipulation approaches:
Functional assays to assess tumor suppressive activity:
Molecular mechanism studies:
Protein interaction partners: Co-immunoprecipitation, proximity ligation assays
Signaling pathway analysis: Western blot for key signaling molecules
RNA regulation: RNA immunoprecipitation, RNA editing site analysis
Experimental design considerations:
Include multiple cell lines with varying endogenous PRUNE2 expression
Implement appropriate controls (empty vector, non-targeting shRNA)
Use rescue experiments to confirm specificity of observed effects
Consider the impact of PCA3 expression when working with prostate cancer models
Data analysis approaches:
Normalize data to appropriate controls
Use statistical methods suitable for each assay
Consider the temporal aspects of PRUNE2 effects
A comprehensive experimental approach examining both phenotypic effects and underlying molecular mechanisms will provide the most valuable insights into PRUNE2 function in cancer biology.