The antibody has been rigorously validated in diverse experimental systems:
Jurkat Cell Lysate: Detects a distinct 40 kDa band under reducing conditions, confirming PRR11 expression (Figure 2A in ).
Cancer Cell Lines: Used to assess PRR11 knockdown efficiency in HepG2 (liver), NCI-H460 (lung), and BxPC3 (pancreatic) cells .
MCF7 Cells: Demonstrates cytoplasmic localization of PRR11, counterstained with DAPI (blue) and Alexa Fluor®488-conjugated secondary antibodies (green) .
Bladder Cancer Tissues: Rabbit anti-human PRR11 polyclonal antibody (1:800 dilution) identifies PRR11 overexpression in non-papillary tumors, correlating with poor prognosis .
Jurkat Lysates: Successfully enriches PRR11 via magnetic beads, confirming its interaction with PI3K components (e.g., p85α) in breast cancer models .
PTTG1 Interaction: PRR11 co-localizes with E2F1 at the PTTG1 promoter (−256/−124 region), enhancing its transcription. Antibody-mediated knockdown reduces PTTG1 expression and arrests cells in the S phase .
Cyclin Modulation: Silencing PRR11 downregulates cyclin genes (CCND3, CCNE) and induces autophagy in NSCLC cells .
The PRR11 antibody (CSB-PA836225LA01HU) is produced in rabbits immunized with a peptide corresponding to amino acids 1-360 of the human PRR11 protein. This polyclonal antibody is an unconjugated IgG, purified to greater than 95% purity using protein G. It is reactive with both human and mouse samples. The PRR11 protein, a newly identified oncogene associated with poor prognosis in various human cancers, exhibits multiple biological effects, including cell cycle modulation and promotion of cellular migration and invasion. This anti-PRR11 antibody has been rigorously quality-verified for its effectiveness in ELISA, Western blot (WB), immunohistochemistry (IHC), and immunofluorescence (IF) applications.
PRR11 plays a crucial role in regulating cell cycle progression.
PRR11 is a newly identified oncogene associated with poor prognosis in several human cancers . Research has demonstrated its overexpression in multiple cancer types, including lung cancer, liver cancer, pancreatic cancer, and ovarian cancer . Its significance stems from its involvement in critical cellular processes, including:
Cell cycle regulation, particularly in S phase progression
F-actin assembly through interaction with the Arp2/3 complex
Promotion of cell proliferation and migration
Regulation of gene expression through interaction with transcription factors
PRR11's widespread oncogenic role across different cancer types makes it a valuable target for both diagnostic and therapeutic development, particularly as its expression levels correlate with poor patient outcomes in at least 10 types of cancers, including adrenocortical carcinoma, bladder cancer, kidney cancer, liver cancer, lung cancer, and pancreatic adenocarcinoma .
Several validated techniques have proven effective for PRR11 detection:
Western Blotting: Recommended for quantitative analysis of PRR11 protein expression. Standard protocols using PRR11-specific antibodies (e.g., Thermo Fisher Scientific Cat. No. PA5113175, dilution 1:200) have shown reliable results . For optimal results, quantify proteins and resolve by 10% SDS-PAGE before transfer to PVDF membranes.
Immunofluorescence: Effective for visualizing PRR11 localization and co-localization with other proteins. This technique has successfully demonstrated that PRR11 is primarily located in the nucleus , and can form meshwork structures when overexpressed .
Co-Immunoprecipitation (Co-IP): Essential for investigating protein-protein interactions. Using magnetic IP/Co-IP kits (e.g., Pierce Classic Magnetic IP/Co-IP Kit), researchers have successfully demonstrated PRR11's interaction with Arp2/3 complex components and transcription factors like E2F1 .
Chromatin Immunoprecipitation (ChIP-qPCR): Useful for studying PRR11's role in transcriptional regulation, particularly its interaction with promoter regions of target genes such as PTTG1 .
PRR11 knockdown experiments require careful design and validation:
siRNA Design: For transient knockdown, use validated siRNA sequences targeting PRR11. The sequence 5′-ACGCAGGCCUUAAGGAGAATT-3′ has demonstrated efficacy in ovarian cancer cells .
Lentiviral Approach: For stable knockdown, lentiviral expression plasmids containing siRNA targeting PRR11 provide consistent results. Commercial options are available from providers like GENECHEM Corporation .
Validation Methods:
Western blotting: Primary validation method to confirm protein reduction
qPCR: Secondary validation to confirm mRNA reduction
Include appropriate controls (mock transfection or empty vector) to account for non-specific effects
Functional Assays: After confirming knockdown efficiency, proceed with functional assays:
Proliferation assays (e.g., CCK-8 assay)
Migration assays (e.g., Transwell migration assay)
In vivo xenograft models for tumor growth assessment
Research has shown that successful PRR11 knockdown significantly reduces cancer cell proliferation both in short-term and long-term assays, and substantially decreases migration capabilities .
PRR11 drives F-actin assembly through direct interaction with the Arp2/3 complex, a key regulator of actin cytoskeleton dynamics. Experimental approaches to study this interaction include:
Co-immunoprecipitation: This method has confirmed the physical interaction between PRR11 and Arp2/3 complex components. Both ectopically expressed Flag-tagged PRR11 and endogenous PRR11 have been shown to co-immunoprecipitate with Arp2 and Arp3 in H1299 lung cancer cells .
Immunofluorescence Colocalization: PRR11 and Arp2 demonstrate significant colocalization in the cytoplasm, with PRR11 overexpression leading to characteristic meshwork structures. When investigating this phenomenon:
Functional Studies: PRR11 overexpression has been shown to increase Arp2 and Arp3 protein levels, suggesting a role in regulating the abundance of Arp2/3 complex components in addition to their localization .
The experimental evidence indicates that PRR11 serves as a scaffold protein, recruiting the Arp2/3 complex to specific cellular locations, driving local F-actin assembly, and potentially enhancing cancer cell migration and invasion properties.
PRR11 regulates PTTG1 expression through a transcription factor-mediated mechanism that impacts cell cycle progression and cancer development. This complex interaction can be investigated through:
Transcriptional Regulation Analysis:
Protein-Protein Interaction Studies:
Expression Correlation Analysis:
The mechanistic model suggests that PRR11 promotes PTTG1 expression by:
Interacting with E2F1
Binding to the E2F1 binding site in the PTTG1 promoter
Enhancing transcriptional activation of PTTG1
Consequently promoting cell cycle progression and sister chromatid separation
This represents a common mechanism by which PRR11 exerts its oncogenic effects across different cancer types, making it a potential pan-cancer therapeutic target.
Several studies have reported different signaling pathways through which PRR11 exerts its effects in various cancer types, creating seemingly contradictory findings. These include:
Akt/mTOR signaling in non-small-cell lung cancer
p38 MAPK signaling in pancreatic cancer
To reconcile these findings experimentally:
Multi-omics Approach:
Context-Dependent Analysis:
Perform signaling pathway perturbation experiments across multiple cell lines simultaneously.
Use small molecule inhibitors of each pathway alongside PRR11 manipulation to identify direct versus indirect effects.
Time-Course Experiments:
Analyze signaling events at multiple time points after PRR11 knockdown or overexpression.
This can distinguish between primary and secondary effects of PRR11 manipulation.
Common Downstream Effectors:
Research has shown that despite differences in upstream signaling pathways, PRR11 consistently affects cell cycle progression across cancer types. This suggests that PRR11 may integrate signals from multiple pathways that converge on cell cycle regulation, particularly in S phase .
When using PRR11 antibodies in advanced single-cell analyses, several methodological considerations can improve signal quality:
Antibody Concentration Optimization:
Cell Number Considerations:
Validation Strategies:
Compare PRR11 antibody performance across multiple techniques (flow cytometry, immunofluorescence, Western blotting).
Validate antibody specificity using PRR11 knockdown controls.
Include isotype controls to account for non-specific binding.
Signal Amplification Methods:
Consider secondary antibody approaches or tyramide signal amplification for low-abundance targets.
For multi-modal analyses, ensure that PRR11 detection does not interfere with other measurement modalities.
Sample Preparation Optimization:
Test different fixation and permeabilization protocols to maximize epitope accessibility.
For nuclear-localized PRR11, ensure proper nuclear permeabilization.
When working with PRR11 antibodies in single-cell experiments, these methodological considerations are essential, as they directly influence detection sensitivity and specificity, particularly when studying heterogeneous tissues where PRR11 expression may vary significantly between cell populations.
Mapping PRR11's interaction network requires systematic approaches:
Proximity-Based Labeling Techniques:
BioID or TurboID approaches: Fuse PRR11 with a biotin ligase to label proximal proteins
APEX2 proximity labeling: Provides temporal resolution of interactions
These methods capture transient and weak interactions that conventional Co-IP might miss
Mass Spectrometry-Based Approaches:
Domain-Specific Interaction Mapping:
Create a series of PRR11 deletion mutants to map which domains are responsible for specific interactions
This approach has proven valuable for understanding which regions of PRR11 mediate its interaction with E2F1 and the Arp2/3 complex
Validation Strategies:
Confirm key interactions through multiple methods (Co-IP, proximity ligation assay, FRET)
Use CRISPR-Cas9 to disrupt interaction sites and assess functional consequences
Develop peptide inhibitors of key interactions for therapeutic validation
Computational Analysis:
Integrate interaction data with existing cancer dependency databases
Prioritize interactions that correlate with cancer vulnerability
Build predictive models of PRR11-dependent pathways
This comprehensive mapping approach has already identified important PRR11 interaction partners (Arp2/3 complex, E2F1) and could reveal additional targetable nodes in PRR11-dependent cancer pathways.