Phospho-PTK2 (Ser843) Antibody

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Product Specs

Form
Rabbit IgG in phosphate buffered saline (without Mg2+ and Ca2+), pH 7.4, 150mM NaCl, 0.02% sodium azide and 50% glycerol.
Lead Time
Typically, we can ship your orders within 1-3 business days of receipt. Delivery times may vary depending on the purchasing method or location. Please consult your local distributors for specific delivery time estimates.
Synonyms
FADK 1 antibody; FADK antibody; FAK related non kinase polypeptide antibody; FAK1 antibody; FAK1_HUMAN antibody; Focal adhesion kinase 1 antibody; Focal adhesion Kinase antibody; Focal adhesion kinase isoform FAK Del33 antibody; Focal adhesion kinase related nonkinase antibody; FRNK antibody; p125FAK antibody; pp125FAK antibody; PPP1R71 antibody; Protein phosphatase 1 regulatory subunit 71 antibody; Protein tyrosine kinase 2 antibody; Protein-tyrosine kinase 2 antibody; Ptk2 antibody; PTK2 protein tyrosine kinase 2 antibody
Target Names
Uniprot No.

Target Background

Function
Focal adhesion kinase (FAK), also known as protein tyrosine kinase 2 (PTK2), is a non-receptor protein-tyrosine kinase that plays a crucial role in regulating various cellular processes. Its primary functions involve regulating cell migration, adhesion, spreading, reorganization of the actin cytoskeleton, formation and disassembly of focal adhesions and cell protrusions, cell cycle progression, cell proliferation, and apoptosis. FAK is essential for early embryonic development and placenta development. It plays a critical role in embryonic angiogenesis, normal cardiomyocyte migration and proliferation, and normal heart development. FAK also regulates axon growth and neuronal cell migration, axon branching, and synapse formation; it is required for normal development of the nervous system. Furthermore, FAK plays a role in osteogenesis and differentiation of osteoblasts. FAK functions in integrin signal transduction but also in signaling downstream of numerous growth factor receptors, G-protein coupled receptors (GPCR), EPHA2, netrin receptors, and LDL receptors. Upon activation, FAK forms multisubunit signaling complexes with SRC and SRC family members, leading to the phosphorylation of additional tyrosine residues. These phosphorylated residues serve as binding sites for scaffold proteins, effectors, and substrates, ultimately regulating numerous signaling pathways. FAK promotes the activation of phosphatidylinositol 3-kinase and the AKT1 signaling cascade, as well as MAPK1/ERK2, MAPK3/ERK1, and the MAP kinase signaling cascade. It also promotes localized and transient activation of guanine nucleotide exchange factors (GEFs) and GTPase-activating proteins (GAPs), thereby modulating the activity of Rho family GTPases. Signaling via CAS family members mediates activation of RAC1. FAK recruits the ubiquitin ligase MDM2 to P53/TP53 in the nucleus, regulating P53/TP53 activity, P53/TP53 ubiquitination, and proteasomal degradation. It also phosphorylates SRC, increasing SRC kinase activity. FAK phosphorylates ACTN1, ARHGEF7, GRB7, RET, and WASL. It promotes phosphorylation of PXN and STAT1, though PXN and STAT1 are most likely phosphorylated by a SRC family kinase recruited to autophosphorylated PTK2/FAK1, rather than by PTK2/FAK1 itself. FAK also promotes phosphorylation of BCAR1, GIT2, and SHC1, a process requiring both SRC and PTK2/FAK1. Finally, FAK promotes phosphorylation of BMX and PIK3R1. Isoform 6 (FRNK) of FAK does not contain a kinase domain and inhibits PTK2/FAK1 phosphorylation and signaling. Its enhanced expression can attenuate the nuclear accumulation of LPXN and limit its ability to enhance serum response factor (SRF)-dependent gene transcription.
Gene References Into Functions
  1. LFA-1 cross-linking recruits and activates FAK1 and PYK2 to phosphorylate LAT selectively on a single Y-171 site that binds to the GRB2-SKAP1 complex and limits dwell times of T-cells with dendritic cells PMID: 28699640
  2. Results identified FAK mRNA as a direct target of miR-433. Its activation inhibits the effect of microRNA433 on the growth of cervical cancer cells. PMID: 30272334
  3. This study shows that Leu33Pro polymorphism of integrin beta 3 modulates platelet Src pY418 and focal adhesion kinase pY397 phosphorylation in response to abnormally high shear stress. While physiological shear stress does not affect platelet signaling, abnormally high-shear stress considerably elevates Src and FAK phosphorylation in both Pro33 and Leu33 platelets. PMID: 29965811
  4. High FAK expression is associated with gastric cancer. PMID: 30106432
  5. These results indicate that PCTK3 controls actin cytoskeleton dynamics by negatively regulating the FAK/Rho signaling pathway. PMID: 28361970
  6. FAK is required for adipocyte survival and maintenance of insulin sensitivity, particularly in the context of adipose tissue expansion as a result of caloric excess. PMID: 28165007
  7. Data suggest that TYRO3-mediated phosphorylation of ACTN4 is involved in invasiveness of melanoma cells; TYRO3-mediated phosphorylation of ACTN4 requires FAK activation at tyrosine 397. (TYRO3 = TYRO3 protein tyrosine kinase; ACTN4 = actinin alpha 4; FAK = focal adhesion kinase isoform FAK1) PMID: 29274473
  8. FAK controls invasiveness of tumor cells by regulating focal adhesion-mediated motility. PMID: 29133485
  9. FAK controls the nuclear translocation and activation of YAP in response to mechanical activation and suggests that the YAP-dependent process of durotaxis requires a cell with an asymmetric distribution of active and inactive FAK molecules. PMID: 29070586
  10. Results show that proto-Oncogene Protein ets-1 (ETS1) drives ovarian cancer (OC) metastasis phenotypes through its transcriptional target PTK2 (focal adhesion kinase FAK). PMID: 29174800
  11. Methylmercury chloride negatively affects the activation of Src, Rac1 and Cdc42, all of which are critical proteins for the regulation of cell movement. PMID: 29197552
  12. This study demonstrated that the Cas scaffolding protein family member 4 and protein tyrosine kinase 2 proteins and their significant role in the activation of downstream signaling pathways in Alzheimer's disease. PMID: 29789968
  13. Calpain small subunit 1 (Capn4) overexpression increased the protein level of cleaved talin and activated the focal adhesion kinase (FAK)/AKT/MAPK signaling in 786-O cells, while Capn4 silencing decreased the protein level of cleaved talin in Caki-1 cells. PMID: 29648579
  14. Mitochondria are present at the leading edge of migrating cells, SIRT3 expression is down-regulated during migration, resulting in elevated ROS levels. This SIRT3-mediated control of ROS represses Src oxidation and attenuates focal adhesion kinase (FAK) activation. PMID: 29915029
  15. These results demonstrated that the inhibition of FAK promoted cell detachment by decreasing the expression of focal adhesions components (talin and paxillin), and inhibiting cell motility by reducing the levels of Rho GTPases (Rac1, Cdc42 and RhoA). PMID: 29484384
  16. The results showed that in cervical cancer cells Rac1 activation by hypoxia could stimulate invasion and migration, and this process was mediated by integrin a5b3-facilitated FAK and PI3K phosphorylation. PMID: 29358562
  17. MUC4/X facilitated pancreatic cancer (PC) tumorigenesis via integrin-beta1/FAK/ERK signaling pathway. Overall, these findings revealed the novel role of MUC4/X in promoting and sustaining the oncogenic features of PC. PMID: 29777904
  18. The addition of LCS to capecitabine treatment led to an increase in the proteolysis of the FAK signaling cascade components. PMID: 30061234
  19. MPAP suppressed cancer cell proliferation and the phosphorylation of FAK1. Combined treatment with MPAP and irradiation (IR) showed enhanced suppression of cancer cell proliferation in wild-type p53 cells and more intense suppression in p53-null cells PMID: 29048635
  20. Optogenetic control of FAK signaling has been described. PMID: 29074139
  21. results suggest that W2 suppresses cancer cell migration and invasion by inhibiting FAK/STAT3 signaling and STAT3 translocation to the nucleus in monomorphic malignant human glioma cells. PMID: 28498494
  22. these results suggest that Ascochlorin inhibits cell migration and invasion by blocking FAK and JAK/STAT signaling, resulting in reduced MMP-2 activity. PMID: 28569433
  23. High levels of phosphorylated tyrosine-397 FAK in the nucleus of patient-derived melanoma tissues. PMID: 28348210
  24. The RNA-editing enzyme ADAR promotes lung adenocarcinoma migration and invasion by stabilizing FAK. PMID: 28928239
  25. The ectopic overexpression of miR-379 inhibited cell migration, invasion and EMT progress, while downregulated miR-379 reversed the effect. In addition, miR-379 regulated the focal adhesion kinase (FAK) by directly binding to its 3'-UTR, resulting in suppression of AKT signaling. In clinical samples of gastric cancer (GC), miR-379 inversely correlated with FAK, which was upregulated in GC. PMID: 28713929
  26. Building upon previous work suggesting that FAK-Akt1 binding is mediated by the FAK F1 lobe, we demonstrated that independently expressing the F1 domain in human Caco-2 or murine CT-26 colon cancer cells by transient or stable inducible plasmid expression respectively prevents the stimulation of cancer cell adhesion by increased extracellular pressure. PMID: 28820394
  27. functional activation of FAK1 in metastases and provide preclinical rationale for targeting this kinase in the setting of advanced ccRCC PMID: 28418903
  28. this study shows that simultaneous deactivation of FAK and Src improves the pathology of hypertrophic scar PMID: 27181267
  29. Silencing of p130Cas and inhibition of FAK activity both strongly reduced imatinib and nilotinib stimulated invasion. PMID: 27293031
  30. IP6K1 physiologically regulates neuronal migration by binding to alpha-actinin and influencing phosphorylation of both FAK and alpha-actinin through its product 5-diphosphoinositol pentakisphosphate. PMID: 28154132
  31. These data indicate that Ang II-AT2R regulates human bone marrow MSC migration by signaling through the FAK and RhoA/Cdc42 pathways. PMID: 28697804
  32. upregulated FAK expression correlates with poor prognosis and tumor dissemination in surgically treated patients with hypopharyngeal cancer PMID: 27061113
  33. These findings suggest that the integrin beta4-FAK/Src signaling axis may play a crucial role in clonorchiasis-associated cholangiocarcinoma metastasis during tumor progression. PMID: 28286026
  34. whereas Src activation under shear stress is dominantly ligand-dependent, FAK signaling seems to be mostly shear induced. PMID: 27467982
  35. The miR-7 can inhibit the activation of ERK/MAPK signaling pathway by down-regulating FAK expression, thereby suppressing the proliferation, migration and invasion of NSCLC cells. The miR-7 and its target gene FAK may be novel targets for the diagnosis and treatment of NSCLC. PMID: 27764812
  36. Thrombomodulin (TM) promotes angiogenesis by enhancing cell adhesion, migration, and FAK activation through interaction with fibronectin. PMID: 27602495
  37. FAK activation may facilitate tumour initiation by causing resistance to apoptosis. PMID: 27611942
  38. Among a group of tumor cells, there is correlation between activation of the MRTF-dependent transcription and activated FAK-dependent regulation of cell migration. PMID: 27708220
  39. Our study suggests that FOXM1 transcription factor regulates Integrin b1 gene expression and that FOXM1/ Integrin-b1/FAK axis may play an important role in the progression of Triple-negative breast cancer PMID: 28361350
  40. It has been demonstrated that FAK depletion reduces hepatocellular carcinoma cell growth by affecting cancer-promoting genes including the pro-oncogene EZH2. PMID: 28338656
  41. High FAK expression is associated with breast cancer cell invasion, transendothelial migration and metastasis. PMID: 26993780
  42. Study provides evidence that PTK2 expression is regulated by KCNMA1 in gastric tumorigenesis. PMID: 28231797
  43. HER2 reduces the radiosensitivity of breast cancer by activating Fak in vitro and in vivo. PMID: 27286256
  44. The interaction between FAK and tetraspan proteins in physiological and pathological conditions is reviewed. PMID: 27279237
  45. BKCa has a role in promoting growth and metastasis of prostate cancer through facilitating the coupling between alphavbeta3 integrin and FAK PMID: 27233075
  46. Proteomic analysis identified PTK2/FAK overexpression is a biomarker of radioresistance in locally advanced HNSCC, and PTK2/FAK inhibition radiosensitized HNSCC cells. PMID: 27036135
  47. FAK-Src-Paxillin system is a marker of unfavorable prognosis for human Neuroblastoma patients but also a promising therapeutic target. PMID: 29040002
  48. IGF-II siRNA inactivates the FAK/PI3K/Akt signaling pathway, and further reduces cell proliferation, N-ras and C-myc levels in SMMC-7721 cells. PMID: 27768959
  49. The purpose of this study was to determine the maximum tolerated dose (MTD), safety, pharmacokinetics (PK), and pharmacodynamics (PD) of the FAK inhibitor, GSK2256098, in cancer patients. GSK2256098 has an acceptable safety profile, has evidence of target engagement at doses at or below the MTD, and has clinical activity in patients with mesothelioma, particularly those with merlin loss PMID: 27733373
  50. Studies suggest that signaling pathways downstream of activated FAK including paxillin will be important to study in the context of FAK inhibition and other therapeutics to identify novel biomarkers. PMID: 26980710

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Database Links

HGNC: 9611

OMIM: 600758

KEGG: hsa:5747

STRING: 9606.ENSP00000341189

UniGene: Hs.395482

Involvement In Disease
Aberrant PTK2/FAK1 expression may play a role in cancer cell proliferation, migration and invasion, in tumor formation and metastasis. PTK2/FAK1 overexpression is seen in many types of cancer.
Protein Families
Protein kinase superfamily, Tyr protein kinase family, FAK subfamily
Subcellular Location
Cell junction, focal adhesion. Cell membrane; Peripheral membrane protein; Cytoplasmic side. Cytoplasm, cell cortex. Cytoplasm, cytoskeleton. Cytoplasm, cytoskeleton, microtubule organizing center, centrosome. Nucleus. Cytoplasm, cytoskeleton, cilium basal body. Note=Constituent of focal adhesions. Detected at microtubules.
Tissue Specificity
Detected in B and T-lymphocytes. Isoform 1 and isoform 6 are detected in lung fibroblasts (at protein level). Ubiquitous. Expressed in epithelial cells (at protein level).

Q&A

What is PTK2 and what is the significance of its phosphorylation at Ser843?

PTK2 (Protein Tyrosine Kinase 2), also known as focal adhesion kinase 1 (FAK1), functions in integrin signal transduction and in signaling downstream of numerous growth factor receptors, G-protein coupled receptors (GPCRs), EPHA2, netrin receptors, and LDL receptors. It forms multisubunit signaling complexes with SRC and SRC family members upon activation, leading to phosphorylation of additional tyrosine residues and creation of binding sites for scaffold proteins, effectors, and substrates .

The phosphorylation of PTK2 at Ser843 represents a critical regulatory modification that occurs very rapidly (within 5 seconds) in response to G protein-coupled receptor agonists such as bombesin, vasopressin, or bradykinin. Notably, this serine phosphorylation precedes the phosphorylation at Tyr397, which is the major autophosphorylation site, suggesting that Ser843 phosphorylation may function as an early regulatory event in PTK2 activation . This specific phosphorylation is mediated through a calcium-calmodulin-dependent protein kinase II (CaMKII) pathway, highlighting its importance in calcium-dependent signaling cascades .

What are the typical experimental applications for Phospho-PTK2 (Ser843) Antibody?

The Phospho-PTK2 (Ser843) Antibody is primarily used in Western blot (WB) and ELISA applications to detect the phosphorylation status of PTK2 at Ser843. For Western blot applications, the recommended dilution range is 1:500-1:1000 . The antibody can be applied to samples from human, mouse, and rat origins, making it versatile for comparative studies across these species .

Methodologically, this antibody is particularly valuable for:

  • Monitoring rapid GPCR-induced signaling events

  • Studying calcium-dependent kinase pathways

  • Investigating cross-talk between different phosphorylation sites in PTK2

  • Examining the temporal dynamics of PTK2 activation in response to various stimuli

  • Assessing the effects of calcium modulators on focal adhesion signaling

How is the specificity of Phospho-PTK2 (Ser843) Antibody ensured in experimental settings?

The specificity of Phospho-PTK2 (Ser843) Antibody is ensured through rigorous purification processes. According to the product information, antibodies are produced by immunizing rabbits with synthetic phosphopeptide and KLH conjugates specific to the Ser843 phosphorylation site. The antibodies are then purified through a two-step process:

  • Affinity-chromatography using epitope-specific phosphopeptide to select antibodies that recognize the phosphorylated form

  • Chromatography using non-phosphopeptide to remove non-phospho specific antibodies that might cross-react with the unphosphorylated form of the protein

For experimental validation of specificity, researchers should consider including appropriate controls:

  • Comparing phosphorylated versus non-phosphorylated samples

  • Using phosphatase treatment to remove phosphorylation

  • Including samples with site-directed mutations at Ser843

  • Utilizing peptide competition assays with the immunizing phosphopeptide

How does G protein-coupled receptor activation trigger PTK2 phosphorylation at Ser843, and what methods best capture this rapid signaling event?

GPCR activation leads to an extremely rapid (within 5 seconds) increase in PTK2 phosphorylation at Ser843 through a calcium-dependent signaling pathway. The mechanistic sequence involves:

  • GPCR activation by agonists such as bombesin, vasopressin, or bradykinin

  • Increase in intracellular calcium concentration [Ca²⁺]ᵢ

  • Calcium binding to calmodulin

  • Activation of calcium/calmodulin-dependent protein kinase II (CaMKII)

  • Direct phosphorylation of PTK2 at Ser843 by activated CaMKII

To effectively capture and study this rapid signaling event, researchers should employ the following methodological approaches:

  • Ultra-rapid cell lysis techniques: Using specialized buffers that can halt signaling within milliseconds

  • Time-course experiments: With very short time intervals (1-5 seconds) to capture the earliest phosphorylation events

  • Live-cell imaging: Using phospho-specific biosensors to monitor phosphorylation dynamics in real-time

  • Calcium chelators and CaMKII inhibitors: Such as BAPTA, thapsigargin, and KN93 to validate the calcium-dependent pathway

  • Phosphoproteomic analysis: Using techniques like SILAC (stable isotope labeling with amino acids in cell culture) combined with mass spectrometry for temporal profiling

Research has demonstrated that treatments affecting any step in this pathway—including agents that prevent calcium increases (thapsigargin, BAPTA), interfere with calmodulin function (trifluoperazine, W13, W7), or block CaMKII activation (KN93) or expression (siRNA)—abrogate the GPCR-induced rapid phosphorylation at Ser843 .

What is the relationship between PTK2 phosphorylation at Ser843 and cancer therapy resistance, and how can the antibody be used to investigate this phenomenon?

PTK2 has emerged as a critical regulator of cancer cell responses to chemotherapy. Research indicates that PTK2-mediated phosphorylation events, including potentially at Ser843, play important roles in cancer therapy resistance through various mechanisms:

  • Regulation of autophagy proteins: PTK2 induces phosphorylation of autophagy-related proteins like ATG3, leading to their degradation in response to cancer chemotherapeutic agents

  • Impaired therapeutic response: The degradation of autophagy factors mediated by PTK2 impedes cancer cells' response to chemotherapy

  • Cell survival pathways: PTK2 can activate the phosphoinositide 3-kinase-AKT1 pathway by binding with the PIK3R/p85 subunit, inducing survival signals and preventing cancer cell death

Phospho-PTK2 (Ser843) Antibody can be used to investigate these phenomena through:

  • Comparative phosphorylation studies: Analyzing the Ser843 phosphorylation status in treatment-resistant versus treatment-sensitive cancer cells

  • Combination therapy testing: Evaluating the impact of PTK2 inhibitors on Ser843 phosphorylation and subsequent chemosensitivity

  • Temporal dynamics analysis: Monitoring the kinetics of Ser843 phosphorylation in response to chemotherapy agents

  • Pathway analysis: Using the antibody in combination with inhibitors of calcium signaling to determine if the GPCR-calcium-CaMKII pathway contributes to therapy resistance

Research has shown that PTK2 inhibition combined with DNA-damaging agents significantly decreases cancer cell viability and colony formation. For example, the PTK2 inhibitor PF-573228, but not inhibitors of SRC or EGFR, enhanced etoposide-induced inhibition of cell proliferation and dramatically decreased colony formation in combination with etoposide or cisplatin .

What methodological considerations should be addressed when using Phospho-PTK2 (Ser843) Antibody in phosphoproteomic studies?

When incorporating Phospho-PTK2 (Ser843) Antibody in phosphoproteomic studies, researchers should address several critical methodological considerations:

  • Sample preparation optimization:

    • Rapid sample processing to preserve phosphorylation status

    • Inclusion of phosphatase inhibitors (e.g., sodium orthovanadate, sodium fluoride, β-glycerophosphate)

    • Standardized lysis conditions to ensure consistent extraction of phosphorylated proteins

  • Enrichment strategies:

    • Consider using the antibody for immunoprecipitation prior to mass spectrometry

    • Combine with phosphotyrosine-specific antibodies to capture the full spectrum of PTK2 phosphorylation

    • Implement titanium dioxide (TiO₂) or immobilized metal affinity chromatography (IMAC) for global phosphopeptide enrichment

  • Validation approaches:

    • Confirm specificity using phosphatase treatment controls

    • Verify phosphorylation site assignment with synthetic phosphopeptides

    • Implement orthogonal techniques such as Phos-tag SDS-PAGE for mobility shift validation

  • Quantification methods:

    • Consider stable isotope labeling approaches (SILAC, iTRAQ, TMT) for accurate quantification

    • Implement label-free quantification with appropriate normalization strategies

    • Utilize multiple reaction monitoring (MRM) for targeted quantification of Ser843 phosphopeptides

  • Data analysis considerations:

    • Account for potential neutral loss during mass spectrometric analysis of phosphopeptides

    • Implement appropriate statistical approaches for phosphosite occupancy calculation

    • Consider using kinase substrate prediction algorithms to identify other potential CaMKII targets

How can Phospho-PTK2 (Ser843) Antibody be used in cancer immunotherapy research?

Phospho-PTK2 (Ser843) Antibody can serve as a valuable tool in cancer immunotherapy research, particularly given recent findings linking PTK2 expression with immunotherapy outcomes. A comprehensive pan-cancer analysis of 33 human cancers revealed relationships between FAK/PTK2 and cancer immunotherapy . Researchers can utilize this antibody to:

  • Evaluate immune checkpoint correlations: Investigate associations between PTK2 Ser843 phosphorylation status and expression of immune checkpoint markers across different cancer types

  • Assess tumor immune microenvironment: Examine how PTK2 phosphorylation relates to intratumoral immune invasion patterns

  • Predict immunotherapy response: Explore whether Ser843 phosphorylation status correlates with tumor mutation burden (TMB) and microsatellite instability (MSI), which are established biomarkers for immunotherapy response

  • Study signaling pathway interactions: Investigate how PTK2 phosphorylation at Ser843 influences immune modulator expression, including immune inhibitors, immune stimulators, and MHC molecules

Methodologically, researchers should consider:

  • Multiplexed immunofluorescence approaches to simultaneously detect phospho-PTK2 and immune markers

  • Single-cell analysis to capture heterogeneity in phosphorylation patterns across different cell populations within the tumor microenvironment

  • Integration with spatial transcriptomic data to correlate phosphorylation patterns with gene expression profiles in specific tumor regions

What is the significance of PTK2 Ser843 phosphorylation in the context of combination therapy development?

PTK2 Ser843 phosphorylation may play a significant role in determining cancer cell responses to combination therapies. Research findings indicate:

  • Enhanced therapeutic efficacy: PTK2 inhibition combined with DNA-damaging agents shows synergistic effects in reducing cancer cell viability

  • Mechanism of action: PTK2 inhibition prevents the degradation of autophagy-related proteins (such as ATG3), potentially enhancing the efficacy of chemotherapeutic agents

  • Clinical relevance: Several PTK2 inhibitors are currently being evaluated in clinical trials, with combination regimens showing promising results

A methodological framework for investigating the role of Ser843 phosphorylation in combination therapy includes:

Experimental ApproachMethodologyOutcome Measures
Phosphorylation profilingWestern blot with Phospho-PTK2 (Ser843) AntibodyTemporal dynamics of phosphorylation in response to single agents vs. combinations
Functional analysissiRNA knockdown or CRISPR/Cas9 editing of PTK2Cell viability, colony formation, apoptosis assessment
Pharmacological inhibitionPTK2 inhibitors (e.g., PF-573228) + chemotherapySynergy calculation, dose-response curves
Mechanism investigationCalcium modulation, CaMKII inhibitionImpact on combination therapy efficacy
In vivo validationXenograft models with phospho-specific analysesTumor growth, metastasis, survival

Research has shown that among several tyrosine kinase inhibitors, PTK2 inhibitors had significantly stronger effects on cancer cell colony formation when combined with DNA-damaging agents . This suggests that targeting the pathways regulating PTK2 phosphorylation, including potentially at Ser843, could be a promising strategy for enhancing chemotherapy efficacy.

How does the phosphorylation pattern of PTK2 at Ser843 compare with other key phosphorylation sites, and what methods can resolve potential crosstalk?

PTK2 contains multiple phosphorylation sites that regulate its activity and signaling capabilities. The phosphorylation at Ser843 exhibits distinct characteristics compared to other key sites:

To investigate potential crosstalk between different phosphorylation sites on PTK2, researchers can employ the following methodological approaches:

  • Multiplexed phospho-specific antibody analysis:

    • Simultaneous detection of phosphorylation at Ser843, Tyr397, and other sites using multiplexed Western blotting or immunofluorescence

    • Temporal profiling to establish the sequence of phosphorylation events

    • Correlation analysis to identify interdependencies between different phosphorylation sites

  • Site-directed mutagenesis studies:

    • Generation of phospho-mimetic (S843D/E) and phospho-deficient (S843A) mutants

    • Analysis of how mutation at Ser843 affects phosphorylation at other sites

    • Functional assessment of mutants to determine the impact on PTK2 activity and signaling

  • Kinase inhibitor approaches:

    • Selective inhibition of CaMKII to block Ser843 phosphorylation

    • Assessment of how CaMKII inhibition affects tyrosine phosphorylation at Tyr397 and other sites

    • Combination with SRC family kinase inhibitors to understand pathway intersection

  • Mass spectrometry-based phosphoproteomics:

    • Global analysis of PTK2 phosphorylation sites and their dynamic changes

    • Quantification of site occupancy under different conditions

    • Network analysis to identify co-regulated phosphorylation sites

What are the optimal sample preparation protocols for detecting PTK2 Ser843 phosphorylation in different experimental systems?

Optimal sample preparation is critical for successful detection of PTK2 Ser843 phosphorylation. Based on the research findings and technical specifications, the following protocols are recommended:

For cell culture systems:

  • Stimulation timing: Given the rapid and transient nature of Ser843 phosphorylation, precise timing is crucial. For GPCR-mediated phosphorylation, collect samples as early as 5 seconds after stimulation

  • Rapid lysis procedure:

    • Aspirate media quickly and immediately add ice-cold lysis buffer

    • Use a lysis buffer containing: 50 mM Tris-HCl (pH 7.5), 150 mM NaCl, 1% Triton X-100, 0.1% SDS, 0.5% sodium deoxycholate

    • Supplement with phosphatase inhibitors: 50 mM NaF, 5 mM Na₃VO₄, 10 mM Na₄P₂O₇, 10 mM β-glycerophosphate

    • Include protease inhibitor cocktail

  • Processing considerations:

    • Keep samples on ice throughout processing

    • Clear lysates by centrifugation at 14,000 × g for 15 minutes at 4°C

    • Determine protein concentration using Bradford or BCA assay

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

For tissue samples:

  • Sample collection: Flash-freeze tissues in liquid nitrogen immediately after collection

  • Homogenization protocol:

    • Pulverize frozen tissue under liquid nitrogen using a mortar and pestle

    • Homogenize in lysis buffer (as described above) using a tissue homogenizer

    • Use approximately 5 ml of lysis buffer per gram of tissue

  • Special considerations:

    • Process tissue samples rapidly to prevent phosphatase activity

    • Consider using phospho-protein stabilization buffers during collection

    • For immunohistochemistry applications, use phospho-specific fixation protocols

Western blot optimization:

When using the Phospho-PTK2 (Ser843) Antibody in Western blot applications, follow these guidelines:

  • Use a dilution range of 1:500-1:1000 as recommended

  • Load 20-50 μg of total protein per lane

  • Consider using Phos-tag™ SDS-PAGE for enhanced separation of phosphorylated species

  • Include positive controls (cells treated with ionomycin or GPCR agonists)

  • Include negative controls (samples treated with lambda phosphatase)

How can researchers address potential cross-reactivity concerns when using Phospho-PTK2 (Ser843) Antibody?

Cross-reactivity is a common concern when using phospho-specific antibodies. Researchers can address this issue through several approaches:

  • Validation controls:

    • Phosphatase treatment: Treating a portion of the sample with lambda phosphatase should eliminate the signal if it's specific to phosphorylated Ser843

    • Peptide competition assay: Pre-incubating the antibody with the immunizing phosphopeptide (sequence: R-G-S(p)-I-D) should block specific binding

    • Knockout/knockdown validation: Using PTK2 knockout or knockdown samples as negative controls

    • Phospho-site mutants: Comparing wild-type PTK2 with S843A mutant samples

  • Optimizing experimental conditions:

    • Blocking: Use 5% BSA in TBS-T rather than milk (which contains phosphoproteins)

    • Antibody dilution: Start with the recommended 1:500-1:1000 range and optimize if needed

    • Incubation conditions: Overnight incubation at 4°C may yield better specificity than shorter incubations

    • Washing: Implement stringent washing steps (4-6 washes with TBS-T)

  • Signal verification strategies:

    • Sequential immunoblotting: Strip and reprobe with total PTK2 antibody

    • Parallel blotting: Run identical samples on separate blots for phospho and total protein

    • Size verification: Confirm that the detected band appears at the expected molecular weight for PTK2 (125 kDa)

    • Stimulus-response correlation: Verify that the signal responds appropriately to treatments known to modulate Ser843 phosphorylation

  • Advanced confirmation approaches:

    • Immunoprecipitation followed by Western blotting

    • Mass spectrometry validation of the phosphorylation site

    • Comparison with alternative phospho-specific antibodies from different vendors

What are the key considerations for quantitative analysis of PTK2 Ser843 phosphorylation in experimental and clinical samples?

Quantitative analysis of PTK2 Ser843 phosphorylation requires careful attention to several methodological aspects:

  • Normalization strategies:

    • Normalize phospho-PTK2 (Ser843) to total PTK2 protein levels to account for expression variations

    • Include housekeeping protein controls (β-actin, GAPDH) for loading normalization

    • Consider using stain-free technology or total protein normalization for more reliable quantification

    • For clinical samples, normalize to appropriate reference tissues or cell types

  • Statistical considerations:

    • Perform experiments with sufficient biological replicates (minimum n=3)

    • Apply appropriate statistical tests based on data distribution

    • Consider using non-parametric tests for clinical samples with potential heterogeneity

    • Report both statistical significance and effect sizes

  • Dynamic range and linearity:

    • Establish the linear detection range for both phospho-PTK2 and total PTK2

    • Create a standard curve using recombinant phosphorylated and non-phosphorylated proteins

    • Ensure that sample concentrations fall within the linear range of detection

    • Consider using fluorescence-based Western blotting for wider dynamic range

  • Temporal considerations in experimental designs:

    • For GPCR-mediated phosphorylation, include very early time points (5, 10, 30 seconds)

    • Extend time courses to capture both rapid phosphorylation and potential dephosphorylation kinetics

    • Control experimental timing precisely to minimize variability

    • Consider using automated systems for consistent sample processing

  • Clinical sample-specific considerations:

    • Account for tumor heterogeneity through multiple sampling or single-cell approaches

    • Consider pre-analytical variables (ischemia time, fixation method, storage conditions)

    • Implement batch controls and normalization for multi-center studies

    • Correlate phosphorylation status with clinical parameters and outcomes

Analytical MethodAdvantagesLimitationsRecommended Applications
Western blottingWidely accessible, semi-quantitative, size verificationLimited multiplex capability, higher sample requirementExperimental systems, temporal studies
ELISAHigh throughput, quantitative, lower sample requirementNo size verification, potential cross-reactivityLarge sample sets, clinical studies
ImmunohistochemistrySpatial information, tissue context, single-cell resolutionSubjective scoring, limited quantificationClinical tissue samples, tumor microenvironment studies
Mass spectrometryAbsolute quantification, multiple modification detectionTechnical complexity, higher costComprehensive phosphorylation profiling, site occupancy determination

How might studying PTK2 Ser843 phosphorylation contribute to understanding spatial regulation of focal adhesion signaling?

The spatial regulation of focal adhesion signaling involves complex protein interactions and localized signaling events. Investigating PTK2 Ser843 phosphorylation could provide valuable insights into these spatial aspects through the following research approaches:

  • Advanced imaging methodologies:

    • Super-resolution microscopy (STORM, PALM, SIM) to visualize the nanoscale organization of phosphorylated PTK2

    • FRET-based biosensors to monitor PTK2 Ser843 phosphorylation in living cells with spatial and temporal resolution

    • Correlative light and electron microscopy to link phosphorylation events with ultrastructural features

    • Lattice light-sheet microscopy for 4D imaging of phosphorylation dynamics during cell migration

  • Spatial proteomics applications:

    • Proximity labeling techniques (BioID, APEX) to identify proteins near phosphorylated PTK2

    • Biochemical fractionation to determine the subcellular distribution of Ser843-phosphorylated PTK2

    • Local proteomics at focal adhesions using laser capture microdissection

    • Spatial mapping of phosphorylation events during adhesion assembly and disassembly

  • Mechanobiology perspectives:

    • Investigation of how mechanical forces regulate PTK2 Ser843 phosphorylation

    • Analysis of how Ser843 phosphorylation affects mechanotransduction

    • Correlation of phosphorylation patterns with traction force microscopy data

    • Substrate rigidity modulation to assess mechanical regulation of phosphorylation

  • Computational modeling approaches:

    • Agent-based modeling of focal adhesion dynamics incorporating PTK2 phosphorylation states

    • Reaction-diffusion models of kinase and phosphatase activities within adhesion complexes

    • Integration of spatial phosphoproteomic data with structural information

    • Prediction of phosphorylation-dependent protein interaction networks

What emerging technologies might enhance detection and functional analysis of PTK2 Ser843 phosphorylation?

Several emerging technologies hold promise for advancing the detection and functional analysis of PTK2 Ser843 phosphorylation:

  • Single-cell phosphoproteomics:

    • Mass cytometry (CyTOF) with phospho-specific antibodies

    • Single-cell Western blotting for heterogeneity analysis

    • Microfluidic-based single-cell phosphoprotein detection

    • Integration with single-cell transcriptomics for multi-omic analysis

  • CRISPR-based technologies:

    • Base editing to create specific phospho-site mutations (S843A or S843D)

    • CRISPR activation/inhibition systems to modulate PTK2 expression

    • CRISPR screens to identify regulators of Ser843 phosphorylation

    • Optogenetic CRISPR systems for temporal control of PTK2 expression or mutation

  • Biosensor development:

    • Genetically encoded FRET-based sensors specific for Ser843 phosphorylation

    • Split fluorescent protein complementation assays for phosphorylation-dependent interactions

    • Nanobody-based fluorescent reporters for live-cell imaging

    • Phospho-specific circularly permuted fluorescent proteins

  • Artificial intelligence applications:

    • Deep learning for image analysis of phospho-PTK2 localization patterns

    • Machine learning algorithms to predict phosphorylation-dependent protein interactions

    • Neural networks for integrating phosphorylation data with other cellular parameters

    • AI-assisted experimental design for phosphoproteomic studies

  • Organoid and 3D culture systems:

    • Analysis of PTK2 Ser843 phosphorylation in patient-derived organoids

    • 3D cell culture models to study phosphorylation in physiologically relevant contexts

    • Microfluidic organ-on-chip platforms with real-time phosphorylation monitoring

    • Co-culture systems to investigate phosphorylation in heterotypic cell interactions

How can researchers integrate PTK2 Ser843 phosphorylation data with broader phosphoproteomic and multi-omic datasets?

Integrating PTK2 Ser843 phosphorylation data with broader datasets requires sophisticated computational and experimental approaches:

  • Multi-level data integration strategies:

    • Correlation of Ser843 phosphorylation with other PTK2 phosphorylation sites

    • Network analysis connecting PTK2 phosphorylation with upstream regulators and downstream effectors

    • Pathway enrichment analysis to identify biological processes associated with Ser843 phosphorylation

    • Integration with transcriptomic data to identify phosphorylation-dependent gene expression changes

  • Systems biology frameworks:

    • Construction of ordinary differential equation (ODE) models incorporating Ser843 phosphorylation

    • Bayesian network analysis to infer causal relationships in signaling networks

    • Constraint-based modeling to predict phenotypic consequences of altered phosphorylation

    • Multi-scale modeling linking molecular events to cellular behaviors

  • Temporal multi-omics approaches:

    • Time-resolved phosphoproteomics paired with transcriptomics and metabolomics

    • Trajectory analysis to map signaling dynamics following stimulation

    • Identification of phosphorylation-dependent transcriptional and metabolic changes

    • Inference of time-dependent regulatory networks

  • Clinical data integration considerations:

    • Correlation of PTK2 Ser843 phosphorylation with patient outcomes

    • Integration with genomic alterations (mutations, copy number variations)

    • Association with response to specific therapies, particularly PTK2 inhibitors

    • Development of predictive models incorporating phosphorylation status

  • Data visualization and exploration tools:

    • Interactive visualization platforms for multi-dimensional phosphoproteomic data

    • Computational workflows for integrating heterogeneous data types

    • Web-based resources for sharing and exploring integrated datasets

    • Customized analytical pipelines for PTK2-focused investigations

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