Phospho-PAK4 (S474) Antibody

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Description

Definition and Mechanism

PAK4 belongs to the PAK family of serine/threonine kinases, which are activated by small GTPases such as Rac1 and Cdc42. Phosphorylation at S474 is essential for PAK4’s catalytic activity, enabling its role in signaling pathways like Akt/mTOR and AMPK (AMP-activated protein kinase) . The antibody specifically binds to this phosphorylated residue, allowing researchers to study PAK4 activation in various contexts, including cancer, insulin resistance, and pancreatic function.

Role in Insulin Resistance

PAK4 phosphorylation at S474 has been linked to insulin resistance in skeletal muscle. Studies using Pak4 knockout mice demonstrate improved insulin sensitivity, accompanied by AMPK activation and increased glucose uptake via GLUT4 upregulation . This suggests that PAK4 inhibition could be a therapeutic target for type 2 diabetes.

Pancreatic Acinar Cells

In pancreatic acinar cells, PAK4 phosphorylation at S474 is induced by cholecystokinin (CCK-8), a hormone regulating pancreatic secretion. This activation correlates with increased cell survival and proliferation, as shown in AR42J cell models .

Cancer Pathways

Phospho-PAK4 (S474) has been implicated in oncogenic signaling. It phosphorylates BAD (a pro-apoptotic protein), promoting cell survival, and regulates cell-cycle progression by modulating CDKN1A levels .

Applications

The antibody is validated for:

  • Western blotting (WB): Detects endogenous PAK4 phosphorylation in human, mouse, and guinea pig tissues .

  • Immunofluorescence (ICC/IF): Localizes phospho-PAK4 to the nucleus in MCF-7 breast cancer cells, suggesting a role in nuclear signaling .

Example Data

ApplicationSample TypeKey Observations
Western blottingMCF-7 lysatesDetects ~72 kDa band
ICC/IFMCF-7 cellsNuclear staining

Antibody Details

ParameterValue
ImmunogenSynthetic peptide (S474)
ClonalityMonoclonal (rabbit)
ReactivityHuman, mouse, guinea pig
ApplicationsWB, ICC/IF
Cross-reactivityNo PAK1, PAK2, PAK3

Validation

  • Specificity: Competed with phospho-peptide (abolishes signal) but not non-phospho-peptide .

  • Sensitivity: Detects endogenous PAK4 in pancreatic acinar lysates .

Product Specs

Buffer
The antibody is provided as a liquid solution in PBS containing 50% glycerol, 0.5% BSA, and 0.02% sodium azide.
Form
Liquid
Lead Time
Typically, we can ship the products within 1-3 business days after receiving your order. The delivery time may vary depending on the purchase method or location. Please consult your local distributor for specific delivery times.
Synonyms
KIAA1142 antibody; p21 activated kinase 4 antibody; p21 Cdc42/Rac1-actiated kinase 4 antibody; P21 protein (Cdc42/Rac) activated kinase 4 antibody; p21(CDKN1A) activated kinase 4 antibody; p21-activated kinase 4 antibody; PAK 4 antibody; PAK-4 antibody; Pak4 antibody; PAK4_HUMAN antibody; Protein kinase related to S.cerevisiae STE20 effector for Cdc42Hs antibody; Serine threonine kinase PAK 4 antibody; Serine/threonine protein kinase PAK 4 antibody; Serine/threonine protein kinase PAK4 antibody; Serine/threonine-protein kinase PAK 4 antibody
Target Names
Uniprot No.

Target Background

Function
Phospho-PAK4 (S474) Antibody targets a serine/threonine protein kinase involved in diverse signaling pathways, including cytoskeleton regulation, cell migration, growth, proliferation, and cell survival. Activation by various effectors, such as growth factor receptors or active CDC42 and RAC1, induces a conformational change and subsequent autophosphorylation on multiple serine and/or threonine residues. This antibody specifically recognizes the phosphorylated form of PAK4 at serine 474. This phosphorylation event plays a crucial role in regulating the downstream signaling pathways associated with PAK4 activity. PAK4 is a key regulator of cell motility, proliferation, and survival. Through its phosphorylation activity, PAK4 modulates the functions of several proteins, including:

- **SSH1**: PAK4 phosphorylates and inactivates SSH1, a protein phosphatase, leading to increased inhibitory phosphorylation of cofilin, an actin binding/depolymerizing factor. This ultimately results in stabilization of actin filaments.

- **LIMK1**: PAK4 phosphorylates LIMK1, another kinase that also inhibits cofilin activity.

- **Integrin beta5/ITGB5**: PAK4 phosphorylates ITGB5, regulating cell motility.

- **ARHGEF2**: PAK4 phosphorylates ARHGEF2, activating the downstream target RHOA. RHOA plays a crucial role in regulating the assembly of focal adhesions and actin stress fibers.

- **BAD**: PAK4 stimulates cell survival by phosphorylating BAD, a BCL2 antagonist of cell death.

In addition to its kinase-dependent functions, PAK4 can also inhibit apoptosis by preventing caspase-8 binding to death domain receptors in a kinase-independent manner. PAK4 also contributes to cell-cycle progression by controlling the levels of the cell-cycle regulatory protein CDKN1A and phosphorylating RAN.
Gene References Into Functions
  1. This research suggests a novel role for PAK4 within the PI3K pathway through its interaction with p85alpha, highlighting its potential significance in PDAC progression and suggesting a promising therapeutic target. PMID: 28205613
  2. This review emphasizes the emerging evidence supporting the crucial role of PAK4 in Pancreatic Distal Adenocarcinoma (PDAC) and its potential to transform patient management. PMID: 29508632
  3. These compounds demonstrate potential for further development as PAK4 inhibitors for anticancer activity. PMID: 29443911
  4. X-ray crystallography reveals that, besides the canonical PAK4 CDC42/RAC Interactive Binding (CRIB) domain binding to CDC42, there are unexpected contacts involving the PAK4 kinase C-lobe, CDC42, and the PAK4 polybasic region. PMID: 29295922
  5. Elevated PAK4 expression is associated with glioma. PMID: 28677773
  6. This study demonstrates that miR485 acts as a tumor suppressor in Glioblastoma (GBM) by directly targeting PAK4 and regulating the AKT and ERK signaling pathways, suggesting that miR485 could be a potential target for the treatment of GBM. PMID: 29048626
  7. This report highlights the overexpression of PAK4 in neuroblastoma cells and the ability of PF-3758309, a potent PAK4 inhibitor, to inhibit cell proliferation and survival in neuroblastoma cells via the MEK/ERK pathway, suggesting a role for PAK4 in neuroblastoma development. PMID: 29048629
  8. Methylation at cg14010619 might modify PAK4 activity, potentially contributing to cisplatin resistance in malignant cell lines. PMID: 28444219
  9. This research concludes that PAK4 acts as a regulator of cell cycle progression in vascular smooth muscle cells by mediating Akt signaling and controlling p21 levels, which further modulate intimal hyperplasia and vascular smooth muscle cell proliferation. PMID: 28706947
  10. The present study demonstrates a novel function of PAK4 in thyroid stimulating hormone-induced papillary thyroid cancer progression. PMID: 28178642
  11. This study reveals that miR-145 plays an important role in inhibiting cell migration by directly targeting PAK4, identifying miR-145-PAK4-LIMK1-cofilin as a novel regulatory pathway involved in colorectal cancer metastasis. PMID: 28440035
  12. These findings reveal a novel glucose metabolism-related mechanism of PAK4 in promoting colon cancer cell growth, suggesting that targeting PAK4 and/or G6PD might be a potential therapeutic strategy for colon cancer. PMID: 28542136
  13. PAK4, but not PAK1, mediates invadopodia maturation during melanoma invasion likely via inhibition of PDZ-RhoGEF. PMID: 27765920
  14. These results indicate that PAK4 confers CDDP resistance via the activation of MEK/ERK and PI3K/Akt pathways. PAK4 and PI3K/Akt pathways can reciprocally activate each other. PMID: 27919028
  15. PAK4 activity was significantly decreased in postmortem brain tissue from Parkinson's disease (PD) patients and in rodent models of PD. Expression of constitutively active PAK4(S445N/S474E) (caPAK4) protected DA neurons in both the 6-hydroxydopamine and alpha-synuclein rat models of PD and preserved motor function. PMID: 27903866
  16. Our results indicate that PAK4 plays a significant role in the potentiation of insulin secretion by fatty acids downstream of GPR40. PMID: 27700527
  17. PAK4 downregulation decreased PPARgamma-mediated Nox1 expression and suppressed EMT in IR-treated glioma cells. PMID: 28534509
  18. The miR-1271/Zic2/PAK4 axis plays a significant role in hepatocellular carcinoma progression. PMID: 28577975
  19. These findings suggest that PAK4-activated PI3K/AKT signaling is both kinase-dependent and -independent, contributing to breast cancer progression. PMID: 28407679
  20. This research presents the functional role and therapeutic targeting of PAK4 in multiple myeloma. PMID: 28096095
  21. PAK4 overexpression in hepatocellular carcinoma (HCC) promotes metastatic invasion by regulating p53 phosphorylation. PMID: 27496712
  22. This study demonstrated that PAK4 interacts with eEF1A1 to promote migration and invasion of gastric cancer cells, providing new insights into the function of PAK4 and eEF1A1 in the progression of gastric cancer. PMID: 28393218
  23. This research provides evidence for a novel connection between HIF-1a and Pak4 in hypoxic cancer cells, shedding light on mechanisms by which tumors respond to and thrive under oxygen-deficient conditions. PMID: 28288786
  24. This research suggests that signaling via ANP/ANPR (atrial natriuretic factor/ANP receptor) in vascular endothelial cells activates PAK4 (p21-activated kinase 4) and CCM2 (cerebral cavernous malformation 2 protein), resulting in phosphorylation of MLC (myosin light chain), cytoskeletal reorganization, and cell spreading; kinase homology domain of ANPRA (guanylyl cyclase-A) activates downstream targets of ANP/ANPR signaling. PMID: 28432261
  25. High expression of PAK4 is associated with breast cancer. PMID: 27297086
  26. In gastric cancer, high PAK4 expression was significantly correlated with clinicopathological variables related to tumor progression, including depth of invasion, metastatic lymph nodes, pathological stage, distant metastasis or recurrent disease. High PAK4 expression was significantly associated with poorer disease-specific survival and relapse-free survival. PMID: 26614788
  27. PAK4 methylation by SETD6 promotes the activation of the Wnt/beta-catenin pathway. PMID: 26841865
  28. This research confirms the prognostic role of PAK4 levels in cervical cancer patients and recognizes its regulatory role in cervical cancer progression. PAK4 also confers the chemoresistance of cervical cancer cells in a PI3K/Akt-dependent way. PMID: 26411419
  29. The PAK4 catalytic domain binds cellular ATP and the Inka1 inhibitor. The crystal lattice consists only of PAK4-PAK4 contacts, which form a hexagonal array with channels of 80 A in diameter that run the length of the crystal. PMID: 26607847
  30. PAK4 localizes to cell-cell junctions and contributes to establishing cell polarity. PAK4 phosphorylates beta-catenin Serine-675. PAK4 binding to cell-cell junctions is dependent on Cdc42. PMID: 26068882
  31. Nuclear Pak4 is involved in the pathogenesis of endometrial cancer, particularly in postmenopausal women. PMID: 26218748
  32. Data shows decreased nuclear accumulation and transcriptional activity of STAT3 in PAK4-silenced pancreatic cancer cells. PMID: 26546043
  33. This report reveals that high levels of p-Pak4 correlate with poor prognosis in gastric cancer (GC), suggesting that p-Pak4 might be a potential prognostic marker for GC. PMID: 26124003
  34. PAK4 and RhoU cooperate to drive adhesion turnover and promote cell migration. PMID: 26598620
  35. PAK4 mediated LIMK1 phosphorylation regulates migration and invasion in NSCLC. Therefore, PAK4 might be a significant prognostic marker and potential therapeutic molecular target in NSCLC. PMID: 25975262
  36. CXCL12/CXCR4 signaling has a role in docetaxel-induced microtubule stabilization via p21-activated kinase 4-dependent activation of LIMK1. PMID: 25359780
  37. MicroRNA-433 (miRNA-433) directly targets PAK4 through the miRNA-433 binding sequence at the 3'-UTR of PAK4 mRNA. PMID: 25410752
  38. PAK1 and PAK4 expression were associated with colorectal cancer metastasis and infiltration. PMID: 25791829
  39. This research suggests that PAK4 promotes alpha-MSH/UVB-induced melanogenesis via the CREB and Wnt/beta-catenin signaling pathways, suggesting that PAK4 may be a potential therapeutic target in pigmentation disorders. PMID: 25560280
  40. This research suggests that PAK4 is a regulator of the NF-kappaB pathway in pancreatic cancer cells, controlling cell proliferation and survival. PMID: 25238288
  41. PAK4 phosphorylates Par6B at Ser143, blocking its interaction with Cdc42. PMID: 25662318
  42. Increased Pak4 expression can lead to the development of adenomyosis by enhancing the invasiveness of endometrial cells through regulation of MMP-2 and -9 activities. PMID: 25637478
  43. PAK4 is known to act as a transporter for beta-catenin nuclear translocation. PMID: 24829151
  44. The p21-activated kinase 4 inhibitor PF-3758309 exhibits an anti-metastatic effect. PMID: 24366569
  45. PAK4-SCG10 signaling occurs in gastric cancer cell invasion. PMID: 23893240
  46. This research documents an oncogenic role of PAK4 in repressing Smad2/3 transactivation, which is involved in tumorigenesis, and suggests PAK4 as a potential therapeutic target for gastric cancer. PMID: 23934187
  47. Both indole and indazole of KY-04031 are responsible for PAK4 hinge interaction. PMID: 24704155
  48. Mutation of this residue was sufficient to switch the phosphorylation site preference for multiple kinases, including the serine-specific kinase PAK4 and the threonine-specific kinase MST4. PMID: 24374310
  49. Genotype TT for rs9676717 in the PAK4 gene and no drinking may be predictive of the interferon-a treatment success. PMID: 23652058
  50. This research confirms that the mechanisms of the Pak4-induced cell cycle arrest involve the activation of the ATM/Chk1/2/p53 pathway. PMID: 23229348

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Database Links

HGNC: 16059

OMIM: 605451

KEGG: hsa:10298

STRING: 9606.ENSP00000351049

UniGene: Hs.20447

Protein Families
Protein kinase superfamily, STE Ser/Thr protein kinase family, STE20 subfamily
Subcellular Location
Cytoplasm.
Tissue Specificity
Highest expression in prostate, testis and colon.

Q&A

What is the biological significance of PAK4 phosphorylation at the S474 position?

PAK4 is a serine/threonine protein kinase that plays critical roles in multiple cellular signaling pathways. Phosphorylation at S474 represents an important activation mechanism for PAK4, triggering conformational changes that enable its kinase activity. This phosphorylation event is particularly important because it occurs following activation by various effectors including growth factor receptors or active CDC42 and RAC1, resulting in a conformational change and subsequent autophosphorylation on several serine and/or threonine residues. Once activated, phosphorylated PAK4 regulates cytoskeleton organization, cell migration, growth, proliferation, and cell survival pathways .

How do PAK4, PAK5, and PAK6 phosphorylation events differ in their regulatory functions?

While PAK4, PAK5, and PAK6 share homologous phosphorylation sites (S474, S560, and S602 respectively), their regulatory functions exhibit important differences:

PAK IsoformPrimary Phosphorylation SiteKey Cellular FunctionsTissue Expression Pattern
PAK4S474Cytoskeleton regulation, cell migration, cell cycle progression through CDKN1A regulationWidely expressed
PAK5S560Neuronal development, filopodia formationPredominantly in brain tissue
PAK6S602Androgen receptor signaling, neurite outgrowthProstate, testis, brain

These isoforms phosphorylate overlapping but distinct sets of downstream targets, allowing for tissue-specific and context-dependent signaling pathways. For instance, PAK4 specifically phosphorylates integrin beta5/ITGB5 to regulate cell motility and ARHGEF2 to activate the downstream target RHOA, influencing focal adhesion assembly .

What cellular compartments typically contain phosphorylated PAK4?

Phosphorylated PAK4 exhibits a complex distribution pattern across cellular compartments. According to fractionation studies, substantial amounts of PAK4 are present in whole cell lysates, cytoplasmic fractions, and nuclear fractions. This distribution pattern has been verified through fractionation techniques that enrich for nuclear and cytoplasmic markers . The nuclear localization of phosphorylated PAK4 suggests potential roles in transcriptional regulation or nuclear cytoskeletal organization beyond its better-characterized cytoplasmic functions. This distribution pattern is particularly important when designing experiments to study PAK4 activity in different cellular contexts .

What are the critical considerations when selecting between monoclonal and polyclonal antibodies for phospho-PAK4 detection?

When selecting between monoclonal and polyclonal antibodies for phospho-PAK4 detection, researchers should consider several experimental factors:

Antibody TypeAdvantagesLimitationsBest Applications
Monoclonal (e.g., MP01723)High specificity for phospho-epitope, consistent lot-to-lot reproducibility, minimal backgroundMay lose reactivity if epitope is altered by sample preparationWestern blotting, flow cytometry where high specificity is required
PolyclonalRecognition of multiple epitopes, higher sensitivity, more robust to protein denaturationPotential cross-reactivity, batch-to-batch variationImmunoprecipitation, applications requiring detection of native protein

For phospho-specific detection, monoclonal antibodies like the rabbit recombinant monoclonal antibodies described in the search results offer superior specificity for the phosphorylated form of PAK4 (S474), PAK5 (S560), and PAK6 (S602) . This specificity is crucial when the research question focuses on activation state rather than total protein levels.

How can researchers validate the specificity of phospho-PAK4 antibodies for experimental applications?

Validating phospho-PAK4 antibody specificity requires a multi-faceted approach:

  • Phosphatase Treatment Control: Treat half of your sample with lambda phosphatase to remove phosphorylation and confirm antibody specificity for the phosphorylated form.

  • Stimulation-Inhibition Test: Stimulate cells with known PAK4 activators (e.g., growth factors) with and without specific PAK inhibitors to demonstrate signal modulation.

  • Knockdown/Knockout Validation: Use siRNA knockdown or CRISPR knockout of PAK4 to confirm signal specificity, as demonstrated in the PAK4 interactome studies where knockdown resulted in decreased F-actin formation .

  • Peptide Competition: Pre-incubate the antibody with phosphorylated and non-phosphorylated peptides corresponding to the immunogen to confirm phospho-specificity.

  • Cross-reactivity Assessment: Test the antibody against phosphorylated forms of related proteins (PAK5, PAK6) if studying a specific isoform, particularly important since some antibodies detect multiple phosphorylated PAK isoforms .

Successful validation should show signal disappearance under dephosphorylation conditions or in knockout samples, while maintaining signal in phosphorylation-promoting conditions.

When should researchers consider using a pan-phospho-PAK antibody versus isoform-specific antibodies?

The decision between pan-phospho-PAK antibodies (detecting PAK4, PAK5, and PAK6) and isoform-specific antibodies depends on the research question:

Use pan-phospho-PAK antibodies when:

  • Studying conserved signaling pathways involving multiple PAK isoforms

  • Investigating total PAK activity in systems with redundant PAK functions

  • Performing initial screening experiments to identify PAK involvement

  • Working with tissues where multiple PAK isoforms are co-expressed

Use isoform-specific antibodies when:

  • Investigating isoform-specific functions and targets

  • Studying PAK4-specific interactors as identified in the interactome studies

  • Analyzing tissues with differential PAK isoform expression

  • Validating isoform-specific knockdown or knockout experiments

The MP01723 and similar antibodies that recognize phosphorylated forms of PAK4 (S474), PAK5 (S560), and PAK6 (S602) are suitable for studying conserved PAK functions across isoforms , while isoform-specific antibodies would be necessary for distinguishing unique functions of each PAK protein.

What are the optimal protein extraction and preservation methods for maintaining phospho-PAK4 integrity?

Maintaining phospho-PAK4 integrity during extraction requires careful consideration of phosphatase activity inhibition and protein denaturation:

  • Lysis Buffer Composition:

    • Use RIPA or NP-40 based buffers supplemented with phosphatase inhibitors (sodium orthovanadate, sodium fluoride, β-glycerophosphate)

    • Include protease inhibitors to prevent degradation

    • Maintain cold temperature (4°C) throughout extraction

  • Sample Processing Protocol:

    • Rapidly harvest cells with direct lysis to minimize dephosphorylation

    • For tissue samples, snap-freeze in liquid nitrogen immediately after collection

    • Perform subcellular fractionation on ice with phosphatase inhibitors present in all buffers, as demonstrated in the PAK4 interactome study

  • Storage Considerations:

    • Store lysates at -80°C with minimal freeze-thaw cycles

    • For long-term storage, consider adding glycerol (10%) as a cryoprotectant

    • Aliquot samples to avoid repeated freeze-thaw cycles

These protocols are particularly important when studying phospho-PAK4 since the phosphorylation status can rapidly change due to cellular phosphatase activity.

What optimization strategies improve Western blot detection of phospho-PAK4?

Optimizing Western blot detection of phospho-PAK4 requires attention to several technical factors:

  • Transfer Optimization:

    • Use PVDF membranes (0.45 μm) for better protein retention

    • Optimize transfer time and voltage based on protein size (PAK4: ~72 kDa)

    • Consider wet transfer systems for more consistent results with phosphoproteins

  • Blocking and Antibody Incubation:

    • Use BSA-based blocking solutions (3-5%) rather than milk (which contains phosphatases)

    • Dilute primary antibodies (like MP01723) at 1:1000 to 1:2000 in BSA-based buffer

    • Include phosphatase inhibitors in antibody dilution buffers

    • Optimize incubation temperature (4°C overnight often yields best results for phospho-epitopes)

  • Signal Detection Enhancement:

    • Use enhanced chemiluminescence (ECL) substrates optimized for phosphoprotein detection

    • Consider signal enhancers specific for phosphoprotein detection

    • Implement fluorescent secondary antibodies for multiplex detection and quantification

  • Controls:

    • Include positive controls (lysates from cells treated with growth factors)

    • Run phosphatase-treated samples as negative controls

    • Consider loading control optimization (phosphorylation-independent proteins)

These strategies have been validated in research applications using anti-phospho-PAK4 antibodies like those described in the search results .

How can flow cytometry protocols be optimized for intracellular phospho-PAK4 detection?

Optimizing flow cytometry for intracellular phospho-PAK4 detection requires specific protocol adjustments:

  • Fixation and Permeabilization:

    • Use paraformaldehyde (2-4%) for fixation to preserve phospho-epitopes

    • Select appropriate permeabilization reagents (methanol for phospho-epitopes often yields superior results)

    • Optimize fixation time (10-20 minutes) to balance epitope preservation and antibody accessibility

  • Staining Protocol:

    • Block with 5% BSA in PBS to reduce non-specific binding

    • Dilute anti-phospho-PAK4 antibodies (like MP01723) at 1:100 to 1:200 in BSA-based buffer

    • Include phosphatase inhibitors in all buffers

    • Extend incubation times (45-60 minutes) for optimal antibody penetration

  • Controls and Validation:

    • Use isotype controls matched to the host species and antibody class

    • Include biological controls (stimulated vs. unstimulated cells)

    • Validate with phosphatase treatment to confirm specificity for phosphorylated epitope

  • Instrument Settings:

    • Optimize voltage settings for detection channel

    • Implement compensation when using multiple fluorophores

    • Consider using branched DNA amplification for low abundance targets

These optimizations are particularly important since flow cytometry applications for phospho-PAK4 detection are specifically mentioned in the antibody specifications .

How does PAK4 phosphorylation influence its interactions with the cytoskeletal regulatory machinery?

PAK4 phosphorylation plays a critical role in cytoskeletal regulation through several mechanistic pathways:

  • Regulation of Cofilin Activity: Phosphorylated PAK4 targets and inactivates the protein phosphatase SSH1, leading to increased inhibitory phosphorylation of cofilin. This decreased cofilin activity promotes stabilization of actin filaments, directly impacting cytoskeletal dynamics .

  • LIMK1 Phosphorylation: Active phospho-PAK4 phosphorylates LIMK1, which in turn also inhibits cofilin activity, creating a dual regulatory mechanism for actin filament stabilization .

  • N-WASP VCA Domain Phosphorylation: Research has demonstrated that PAK4 directly phosphorylates the VCA domain of N-WASP, specifically at Serines 484 and 485. This phosphorylation event influences N-WASP-mediated actin polymerization .

  • F-actin/G-actin Equilibrium Regulation: PAK4 knockdown experiments have shown that PAK4 significantly affects the balance between filamentous (F) and globular (G) actin. When PAK4 is depleted, the equilibrium shifts toward G-actin with markedly less F-actin detected, suggesting PAK4's important role in promoting actin polymerization and filament stability .

  • Arp2/3 Complex Interaction: PAK4 interactome studies have identified novel interactions between PAK4 and the Arp2/3 complex subunit ARPC2, suggesting a role in regulating actin nucleation and branching .

These findings demonstrate the multifaceted role of phosphorylated PAK4 in cytoskeletal regulation, where it acts as a central node connecting multiple regulatory pathways affecting actin dynamics.

What methodological approaches can differentiate between PAK4, PAK5, and PAK6 specific signaling in experimental systems?

Differentiating between PAK4, PAK5, and PAK6 specific signaling requires sophisticated experimental approaches:

  • Isoform-Specific Knockdown/Knockout Strategies:

    • Design isoform-specific siRNAs targeting non-conserved regions

    • Create isoform-specific CRISPR/Cas9 knockout cell lines

    • Use inducible knockdown systems to control the timing of isoform depletion

  • Phosphorylation Site-Specific Antibodies:

    • Use antibodies that distinguish between the different phosphorylation sites (S474 for PAK4, S560 for PAK5, S602 for PAK6)

    • Validate specificity through peptide competition assays with isoform-specific phosphopeptides

  • Expression System Approaches:

    • Express phospho-mimetic mutants (S→D) or phospho-deficient mutants (S→A) of specific PAK isoforms

    • Create chimeric proteins to identify isoform-specific functional domains

    • Use rescue experiments with wild-type or mutant PAK isoforms in knockout backgrounds

  • Interactome Analysis:

    • Implement isoform-specific immunoprecipitation followed by mass spectrometry

    • Compare interactomes between PAK isoforms to identify unique binding partners

    • Use proximity labeling techniques (BioID, APEX) to identify isoform-specific signaling complexes

  • Tissue-Specific Analysis:

    • Leverage the differential expression patterns of PAK isoforms (PAK5 predominantly in brain, PAK6 in prostate and testis)

    • Use tissue-specific knockout models to isolate isoform-specific functions

These approaches can build upon the PAK4 interactome studies described in the search results, which identified 313 PAK4 interactors with 30 overlapping with the PAK1 interactome .

How can researchers investigate the temporal dynamics of PAK4 phosphorylation during cell signaling events?

Investigating temporal dynamics of PAK4 phosphorylation requires techniques capable of resolving signaling events with high temporal resolution:

  • Time-Course Stimulation Studies:

    • Stimulate cells with growth factors or activators for varying time periods

    • Collect samples at multiple time points (e.g., 0, 5, 15, 30, 60 minutes)

    • Analyze phospho-PAK4 levels by Western blotting with phospho-specific antibodies

    • Quantify band intensities and normalize to total PAK4 or loading controls

  • Live-Cell Imaging Approaches:

    • Generate cells expressing FRET-based PAK4 phosphorylation biosensors

    • Implement phosphorylation-sensitive fluorescent probes

    • Perform time-lapse microscopy during stimulation

    • Quantify signal changes in real-time at subcellular resolution

  • Phosphoproteomics Time-Course Analysis:

    • Perform phosphoproteome enrichment at multiple time points

    • Use stable isotope labeling (SILAC, TMT, iTRAQ) for quantitative comparison

    • Analyze phosphorylation dynamics of PAK4 and its substrates simultaneously

    • Build kinetic models of PAK4 signaling networks

  • Single-Cell Analysis:

    • Implement flow cytometry with phospho-specific antibodies at multiple time points

    • Analyze population heterogeneity in phospho-PAK4 response

    • Correlate with cell cycle phase or other parameters

    • Use mass cytometry (CyTOF) for multiplexed phosphorylation analysis

  • Pharmacological Manipulation:

    • Use kinase inhibitors with varying pretreatment times

    • Apply phosphatase inhibitors to trap phosphorylated states

    • Implement washout experiments to study dephosphorylation kinetics

These approaches build upon the methodologies used in the PAK4 interactome studies, which employed fractionation and immunoprecipitation techniques to study PAK4 signaling complexes .

What are the common technical challenges in phospho-PAK4 antibody applications and their solutions?

Researchers frequently encounter several technical challenges when working with phospho-PAK4 antibodies:

Technical ChallengeCauseSolution
Weak or absent signalRapid dephosphorylation during sample preparationEnhance phosphatase inhibitor cocktail; maintain cold temperature throughout processing; consider protein crosslinking prior to lysis
High backgroundNon-specific antibody bindingOptimize blocking conditions (5% BSA, longer blocking time); increase wash steps; consider alternative antibody dilutions; use monoclonal antibodies like MP01723
Cross-reactivity with other PAK isoformsConserved phosphorylation motifsUse isoform-specific antibodies; validate with knockout controls; perform peptide competition assays
Inconsistent results between experimentsVariation in phosphorylation statusStandardize stimulation conditions; ensure consistent time between stimulation and lysis; use internal controls for phosphorylation
Poor signal in formaldehyde-fixed samplesEpitope masking by fixationOptimize fixation time; consider alternative fixatives; implement antigen retrieval methods

Additionally, phospho-specific antibodies may show variations in sensitivity depending on the surrounding amino acid sequence context. Researchers should validate antibodies in their specific experimental system and consider using multiple antibodies targeting different epitopes when possible .

How can researchers accurately interpret changes in phospho-PAK4 signal in complex biological contexts?

Accurate interpretation of phospho-PAK4 signals requires consideration of multiple factors:

  • Normalization Strategies:

    • Always normalize phospho-PAK4 signal to total PAK4 protein levels

    • Implement housekeeping protein controls appropriate for the experimental condition

    • Consider using loading controls specific to the subcellular fraction being analyzed

  • Multiple Detection Methods:

    • Validate key findings with at least two independent methods (e.g., Western blot and immunofluorescence)

    • Correlate phospho-PAK4 levels with downstream substrate phosphorylation (e.g., LIMK1)

    • Implement functional assays to confirm the biological significance of observed changes

  • Context Considerations:

    • Account for cell cycle phase, as PAK4 plays a role in cell-cycle progression

    • Consider cell density effects on cytoskeletal organization and PAK4 activity

    • Evaluate the influence of cell type-specific PAK isoform expression patterns

  • Quantitative Analysis:

    • Use digital image analysis for objective quantification

    • Implement statistical analysis appropriate for the experimental design

    • Consider nonlinear relationships between phosphorylation and downstream effects

  • Integrative Analysis:

    • Correlate phospho-PAK4 changes with alterations in the actin cytoskeleton

    • Examine relationships between PAK4 phosphorylation and its interactome components

    • Connect observed changes to functional outcomes like cell migration or proliferation

These interpretation frameworks are particularly important given PAK4's diverse roles in cytoskeletal regulation, cell migration, growth, proliferation, and cell survival pathways .

What controls are essential for validating phospho-PAK4 antibody specificity in diverse experimental systems?

Essential controls for validating phospho-PAK4 antibody specificity include:

  • Genetic Controls:

    • PAK4 knockdown/knockout: Signal should be significantly reduced or eliminated

    • PAK4 overexpression: Should increase signal proportionally

    • Phospho-site mutants: S474A mutant should show no reactivity with phospho-specific antibodies

  • Phosphorylation State Controls:

    • Phosphatase treatment: Lambda phosphatase treatment should eliminate signal

    • Kinase activators: Treatment with growth factors or active CDC42/RAC1 should increase signal

    • Kinase inhibitors: PAK inhibitors should reduce phospho-signal while maintaining total PAK4 levels

  • Antibody Validation Controls:

    • Peptide competition: Pre-incubation with phospho-peptide should block signal

    • Multiple antibodies: Use antibodies from different sources targeting the same phospho-site

    • Host species controls: Include isotype controls matched to the antibody host species

  • Cross-Reactivity Assessment:

    • Test in systems with known expression profiles of PAK4, PAK5, and PAK6

    • Validate in tissues with differential PAK isoform expression

    • For pan-PAK antibodies (detecting PAK4, PAK5, and PAK6), confirm reactivity with each isoform individually

  • Application-Specific Controls:

    • For Western blotting: Include molecular weight markers to confirm band size

    • For immunofluorescence: Include secondary-only controls to assess background

    • For flow cytometry: Use isotype controls and fluorescence-minus-one (FMO) controls

These controls are critical for ensuring the reliability of results obtained with phospho-PAK4 antibodies in research applications .

How might single-cell analysis techniques advance our understanding of PAK4 phosphorylation heterogeneity in complex tissues?

Single-cell analysis techniques offer unprecedented opportunities to understand PAK4 phosphorylation heterogeneity:

  • Single-Cell Phosphoproteomics:

    • Mass spectrometry-based approaches for quantifying phosphorylation at the single-cell level

    • Correlation of PAK4 phosphorylation with other signaling nodes

    • Identification of cell subpopulations with distinct PAK4 activity profiles

  • Spatial Transcriptomics Integration:

    • Combining single-cell PAK4 activity measurements with spatial information

    • Mapping PAK4 phosphorylation patterns in relation to tissue architecture

    • Correlating with localized expression of PAK4 regulators and effectors

  • Live-Cell Single-Molecule Imaging:

    • Tracking individual PAK4 molecules and their phosphorylation state

    • Measuring kinetics of phosphorylation/dephosphorylation at the single-molecule level

    • Visualizing PAK4 interactions with the cytoskeleton in real-time

  • Multi-Parameter Cytometry:

    • Simultaneous measurement of multiple phosphorylation sites on PAK4 and its substrates

    • Correlation with cell cycle status, differentiation markers, and metabolic state

    • Building comprehensive signaling profiles at single-cell resolution

These approaches would extend the interactome studies described in the search results to the single-cell level, providing insights into how PAK4 signaling heterogeneity contributes to tissue function and disease processes.

What novel therapeutic strategies might emerge from better understanding PAK4 phosphorylation networks?

Enhanced understanding of PAK4 phosphorylation networks could lead to several therapeutic innovations:

  • Targeted Inhibition Strategies:

    • Development of phosphorylation site-specific inhibitors rather than ATP-competitive inhibitors

    • Design of protein-protein interaction disruptors targeting PAK4's interaction with specific effectors

    • Creation of degraders (PROTACs) specifically targeting phosphorylated PAK4

  • Pathway-Selective Modulation:

    • Targeting specific downstream effects of PAK4 (e.g., cytoskeletal regulation vs. survival signaling)

    • Developing context-specific inhibitors that function only in certain cellular compartments

    • Creating combination therapies targeting PAK4 along with synergistic pathways

  • Biomarker Development:

    • Using phospho-PAK4 status as a predictive biomarker for therapeutic response

    • Developing diagnostic tools to measure PAK4 activity in patient samples

    • Creating companion diagnostics for PAK4-targeted therapies

  • Tissue Engineering Applications:

    • Manipulating PAK4 phosphorylation to control cell migration in engineered tissues

    • Modulating cytoskeletal dynamics through PAK4 for improved tissue architecture

    • Enhancing cellular survival in transplanted tissues through PAK4 signaling modulation

These therapeutic directions would build upon the fundamental understanding of PAK4's role in cytoskeletal regulation, cell migration, and survival signaling described in the search results .

How might the PAK4 interactome vary between normal and disease states, and what methodological approaches could reveal these differences?

Investigating PAK4 interactome differences between normal and disease states requires sophisticated comparative approaches:

  • Quantitative Interactomics:

    • Apply SILAC, TMT, or iTRAQ labeling to compare PAK4 interactomes between normal and diseased cells

    • Implement BioID or APEX proximity labeling with quantitative readouts

    • Use crosslinking mass spectrometry to capture transient interactions that may be altered in disease

  • Disease-Specific Tissue Analysis:

    • Perform PAK4 immunoprecipitation from patient-derived tissues

    • Compare interactomes across disease progression stages

    • Correlate interactome changes with clinical outcomes

  • Phosphorylation-Dependent Interactome Analysis:

    • Compare interactomes of wild-type PAK4 versus phospho-mimetic or phospho-deficient mutants

    • Analyze how disease-associated mutations affect PAK4 phosphorylation and subsequent interactions

    • Identify phosphorylation-dependent interaction partners using phospho-specific protein arrays

  • Spatiotemporal Mapping:

    • Implement live-cell imaging of PAK4 interactions in normal versus disease models

    • Analyze subcellular compartment-specific interactions as described in the PAK4 interactome study

    • Track dynamic changes in the PAK4 interactome during disease progression

  • Network Analysis Approaches:

    • Apply computational methods to identify altered interaction motifs in disease

    • Implement machine learning to predict functional consequences of interactome changes

    • Develop network models incorporating PAK4 phosphorylation status and interactome dynamics

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