The PAK1IP1 antibody is a research tool designed to detect the PAK1-interacting protein 1 (PAK1IP1), a nucleolar protein critical for ribosomal stress response and cell cycle regulation. PAK1IP1 modulates the p53–MDM2 pathway, inhibiting cell proliferation under stress conditions, and negatively regulates PAK1 kinase activity, which is implicated in cancer progression . The antibody is widely used in molecular biology to study PAK1IP1’s roles in ribosome biogenesis, tumor suppression, and pyroptosis regulation .
PAK1IP1 stabilizes p53 by binding MDM2 and inhibiting its ubiquitination activity, leading to G1 arrest under ribosomal stress (e.g., induced by 5-FU or actinomycin D) . Antibody-based WB confirmed PAK1IP1 upregulation in stressed cells, correlating with p53 accumulation .
Knockdown of PAK1IP1 using siRNA reduced HCC cell proliferation/migration and induced CASP-3-dependent pyroptosis, as shown via flow cytometry and ELISA (IL-1β detection) . Antibody-mediated validation confirmed PAK1IP1 depletion in HCC models .
PAK1IP1 negatively regulates PAK1 activation by blocking Rac/Cdc42 binding. β-elemene-induced PAK1IP1 upregulation in gastric cancer cells correlated with PAK1 inhibition and apoptosis, demonstrated via WB and IHC .
PAK1IP1’s role in telomere maintenance was inferred from its inclusion in the shelterin complex, with antibody-based IF confirming nucleolar localization .
PAK1IP1 antibody negatively regulates the PAK1 kinase. PAK1 is a member of the PAK kinase family, which has been shown to play a positive role in regulating signaling pathways involving MAPK8 and RELA. PAK1 exists as an inactive homodimer, activated by binding of small GTPases such as CDC42 to an N-terminal regulatory domain. PAK1IP1 also binds to the N-terminus of PAK1, inhibiting the specific activation of PAK1 by CDC42. It may also be involved in ribosomal large subunit assembly.
PAK1IP1 is a protein that interacts with PAK1 (p21-activated kinase 1) and has been identified as having significant implications in cancer biology. Recent research has established that PAK1IP1 is highly expressed in hepatocellular carcinoma (HCC) tumor tissue samples compared to normal tissues . The protein has been characterized as an oncogenic driver in HCC, with expression levels correlating with various clinical features including patient age, gender, tumor stage, and grade .
From a mechanistic perspective, PAK1IP1 appears to play a regulatory role in pyroptosis, a form of programmed cell death. Knockdown of PAK1IP1 has been demonstrated to induce CASP-3-dependent pyroptosis in HCC cells, which subsequently inhibits cancer cell proliferation and migration . This mechanism provides a potential therapeutic avenue for HCC treatment and underscores the importance of PAK1IP1 as a research target.
Several types of PAK1IP1 antibodies are available for research purposes, each with specific characteristics suited for different experimental applications:
| Antibody Type | Host | Clonality | Reactivity | Applications | Region Specificity |
|---|---|---|---|---|---|
| ABIN2336030 | Mouse | Monoclonal | Rat, Human | WB, ELISA | Internal Region |
| Polyclonal antibody | Rabbit | Polyclonal | Human, Mouse, Rat | WB, ELISA | AA 342-392 |
| Polyclonal antibody | Rabbit | Polyclonal | Human | WB, IP | AA 290-340 |
| Polyclonal antibody | Rabbit | Polyclonal | Human | WB | Not specified |
When selecting an antibody, researchers should consider the specific experimental requirements, including target species, application method, and the region of PAK1IP1 being investigated . The monoclonal antibody ABIN2336030, for instance, targets the internal region of PAK1IP1 and has been purified by ammonium sulfate precipitation .
PAK1IP1 antibodies, such as ABIN2336030, are typically supplied as liquid formulations in PBS buffer (pH 7.2) containing preservatives like sodium azide (0.09%) . For optimal maintenance of antibody activity and specificity:
Store antibodies at -20°C unless otherwise specified by the manufacturer
Avoid repeated freeze-thaw cycles, which can lead to protein denaturation and loss of activity
When handling, remember that some preservatives like sodium azide are hazardous and should be managed accordingly by trained personnel only
Aliquot antibodies upon receipt to minimize freeze-thaw cycles
Allow antibodies to equilibrate to room temperature before opening the vial to prevent condensation
The longevity and performance of PAK1IP1 antibodies depend significantly on proper storage and handling practices. Researchers should always refer to the specific manufacturer's guidelines for the particular antibody being used.
Comprehensive analysis of PAK1IP1 expression in relation to clinical features of HCC patients has revealed several significant correlations:
These correlations suggest that PAK1IP1 could serve as a predictive biomarker for HCC progression and potentially inform clinical decision-making. Additionally, qRT-PCR analysis has demonstrated that HCC cell lines (particularly Hep3B and HepG2) exhibit higher PAK1IP1 expression compared to normal liver cells . These findings collectively support the oncogenic role of PAK1IP1 in HCC development and progression.
Analysis of immune cell infiltration patterns in relation to PAK1IP1 expression has yielded important insights:
Most immune cells show downregulation in samples with low PAK1IP1 expression
Myeloid dendritic cells (mDCs) demonstrate the highest infiltration percentage in tumor samples with high PAK1IP1 expression
This association suggests PAK1IP1 may influence the immune microenvironment in HCC
The relationship between PAK1IP1 and mDCs infiltration presents potential therapeutic implications. For instance, the tandem action of CD39 and CD73 ectonucleotidases expressed on mDCs can convert ATP to adenosine, an important mediator of immunosuppression in the tumor microenvironment . Targeting these enzymes could potentially reduce the immunosuppressive effects of mDCs and improve treatment outcomes in HCC patients.
Furthermore, myeloid cell receptor tyrosine kinases (RTKs) including TYRO3, AXL, and MERTK have been shown to suppress immune responses. Inhibition of these receptors could potentially reduce the immune suppression function of mDCs, increase CD8+ T cell infiltration, and enhance treatment efficacy .
Research has revealed a novel mechanism whereby PAK1IP1 regulates pyroptosis in HCC cells:
A physical interaction network has been constructed linking PAK1IP1 and 33 pyroptosis-related genes
Knockdown of PAK1IP1 significantly increased IL-1β levels following lipopolysaccharide (LPS) treatment, indicating enhanced pyroptosis
Western blot analysis demonstrated that PAK1IP1 inhibition significantly increased protein levels of:
These findings indicate that PAK1IP1 knockdown induces CASP-3-dependent pyroptosis in HCC cells. The mechanism was further validated by treating cells with Z-DEVD-FMK, a CASP-3 inhibitor, which partially reversed the anti-proliferative effects of PAK1IP1 knockdown . This suggests that PAK1IP1 may regulate pyroptosis through a CASP-3-dependent mechanism, offering a potential therapeutic strategy for HCC treatment.
For effective Western blotting with PAK1IP1 antibodies, researchers should follow these methodological guidelines:
Sample preparation:
Extract total protein from cells or tissues using RIPA buffer with protease inhibitors
Quantify protein concentration using BCA or Bradford assay
Denature samples at 95°C for 5 minutes in loading buffer containing SDS and β-mercaptoethanol
Gel electrophoresis and transfer:
Use 10-12% SDS-PAGE gels for optimal separation of PAK1IP1 (approximately 55 kDa)
Transfer proteins to PVDF or nitrocellulose membranes at 100V for 60-90 minutes in cold transfer buffer
Antibody incubation:
Block membranes with 5% non-fat milk or BSA in TBST for 1 hour at room temperature
Incubate with primary PAK1IP1 antibody (typical dilution 1:1000, but optimize based on specific antibody) overnight at 4°C
Wash membranes 3-5 times with TBST
Incubate with appropriate secondary antibody (based on primary antibody host species) for 1 hour at room temperature
Wash thoroughly before detection
Controls and validation:
Optimization of antibody concentration is critical, as demonstrated in studies where PAK1IP1 knockdown efficacy was validated by Western blotting . The specificity of the signal can be confirmed by comparing expression levels in normal liver cells versus HCC cell lines.
ELISA assays using PAK1IP1 antibodies have been instrumental in studying pyroptosis in HCC. Based on published methodologies:
Sample preparation:
Collect cell culture supernatants or tissue homogenates
Centrifuge samples to remove cellular debris
Store samples at -80°C or analyze immediately
ELISA procedure:
For detecting pyroptosis markers like IL-1β:
Use commercial ELISA kits or develop custom assays using PAK1IP1 antibodies
Follow manufacturer's protocol for commercial kits
For custom assays, coat plates with capture antibody overnight at 4°C
Experimental design considerations:
Data analysis:
Construct standard curves using recombinant proteins
Normalize data to cell number or protein concentration
Perform statistical analysis to determine significance of differences between treatment groups
Research has demonstrated that IL-1β levels significantly increase following LPS treatment and PAK1IP1 knockdown in HCC cells, indicating enhanced pyroptosis . This methodology has been crucial in establishing the relationship between PAK1IP1 and pyroptosis regulation in HCC.
To effectively study PAK1IP1 knockdown effects on cancer cell phenotypes, researchers should consider these methodological approaches:
PAK1IP1 knockdown strategies:
Cell proliferation assays:
CCK-8 or MTT assays can be used to measure proliferation rates
Plate cells at appropriate density (typically 2-5 × 10³ cells/well in 96-well plates)
Measure proliferation at multiple time points (24h, 48h, 72h)
Include treatment groups with CASP-3 inhibitor (Z-DEVD-FMK) to investigate pyroptosis mechanisms
Migration and invasion assays:
Transwell assays are effective for assessing migration and invasion capabilities
For invasion assays, coat transwell inserts with Matrigel
Seed cells in serum-free medium in the upper chamber
Use medium containing serum as a chemoattractant in the lower chamber
Incubate for 24-48 hours before fixing, staining, and counting migrated/invaded cells
Image analysis:
Published research has demonstrated that PAK1IP1 knockdown significantly reduces HCC cell proliferation, while treatment with Z-DEVD-FMK increases cell proliferation, suggesting a CASP-3-dependent mechanism . Similarly, Transwell assays have shown that PAK1IP1 knockdown suppresses liver cancer cell invasion and migration after LPS treatment .
Inconsistencies in PAK1IP1 expression data can arise from several sources. To address these challenges:
Standardize sample collection and processing:
Account for heterogeneity in expression:
Analyze subgroups based on clinical features
Consider analyzing multiple regions within tumor samples
Use larger sample sizes to account for biological variation
Employ multiple detection methods:
Combine techniques (qRT-PCR, Western blotting, immunohistochemistry)
Use validated antibodies that target specific regions of PAK1IP1
Include appropriate positive controls (HCC cell lines) and negative controls
Data normalization strategies:
For qRT-PCR: Use multiple reference genes stable in HCC tissues
For Western blotting: Normalize to multiple loading controls
For database analyses: Review normalization methods used in databases like UALCAN
Published research has shown variable PAK1IP1 expression patterns correlated with different clinical features, emphasizing the importance of stratifying analyses by these parameters . When inconsistencies occur, researchers should consider whether they reflect true biological variation or technical limitations.
The analysis of PAK1IP1's relationship with immune cell infiltration requires careful consideration of several factors:
Immune cell identification and quantification:
Use multiple markers to identify specific immune cell populations
Consider both the percentage and absolute numbers of infiltrating cells
Apply consistent gating strategies for flow cytometry analyses
Spatial distribution analysis:
Assess the location of immune cells (tumor core vs. periphery)
Consider cell-cell interactions between tumor cells and immune cells
Use multiplexed immunofluorescence to visualize spatial relationships
Functional assessment:
Measure cytokine production by infiltrating immune cells
Assess activation status of immune cells
Investigate the suppressive mechanisms in the tumor microenvironment
Correlation analyses:
Control for confounding factors (tumor stage, grade, treatment history)
Use appropriate statistical methods for correlation analyses
Consider multivariate analysis to account for multiple variables
Research has shown that myeloid dendritic cells have the highest infiltration percentage in tumor samples with high PAK1IP1 expression . The immunosuppressive functions of these cells, including the conversion of ATP to adenosine via CD39 and CD73 ectonucleotidases, should be considered when interpreting these relationships .
When faced with conflicting data regarding PAK1IP1-mediated pyroptosis mechanisms:
Evaluate experimental differences:
Cell lines used (different HCC cell lines may show variable responses)
Knockdown efficiency (partial vs. complete PAK1IP1 knockdown)
Experimental conditions (culture conditions, treatment durations)
Assess pyroptosis detection methods:
Multiple markers should be examined (IL-1β, GSDMD-N, GSDME-N, cleaved caspase-1, CASP-3)
Combine protein expression analysis with functional assays
Consider time-course experiments to capture dynamics of pyroptosis activation
Validate with mechanistic interventions:
Integrate with other cell death pathways:
Consider cross-talk between pyroptosis and apoptosis
Evaluate potential compensatory mechanisms
Assess concurrent activation of multiple cell death pathways
Current research suggests that PAK1IP1 knockdown induces CASP-3-dependent pyroptosis, as evidenced by increased protein levels of CASP-3, GSDME-N, cleaved caspase-1, and GSDMD-N . The partial reversal of anti-proliferative effects by Z-DEVD-FMK supports this mechanism . When confronting conflicting data, researchers should systematically evaluate these experimental variables and consider the possibility of context-dependent mechanisms.