Phospho-MET (Tyr1003) Antibody

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Description

Definition and Mechanism

The MET receptor (c-Met) is activated by hepatocyte growth factor (HGF), leading to autophosphorylation at key tyrosine residues, including Tyr1003 in the juxtamembrane domain. Phosphorylation at Tyr1003 is essential for recruiting downstream signaling proteins like GRB2 and STAT3, initiating pathways such as RAS-ERK and PI3K-AKT . The antibody specifically binds to this phosphorylated site, enabling detection via techniques like Western blot (WB), immunohistochemistry (IHC), immunofluorescence (IF), and enzyme-linked immunosorbent assay (ELISA) .

Structure and Function

  • Immunogen: The antibody targets a synthetic peptide corresponding to amino acids 976–1025 of human MET, encompassing Tyr1003 .

  • Clonality: Polyclonal antibodies are used for broader epitope recognition, ensuring robust detection .

  • Phosphatase Regulation: Tyr1003 phosphorylation is negatively regulated by phosphatases like PTPRJ, PTPN1, and PTPN2 .

Western Blotting

  • Dilution Range: 1:500–1:2000 (WB) .

  • Sensitivity: Detects endogenous MET phosphorylation in cell lysates, with enhanced signals in HGF-stimulated cells .

Immunohistochemistry

  • Tissue Specificity: Validated for human, mouse, and rat tissues, including liver and kidney .

  • Clinical Relevance: Used to study MET activation in cancers (e.g., hepatocellular carcinoma) .

ELISA

  • Sandwich ELISA Kits: Quantify Tyr1003 phosphorylation using paired capture and detection antibodies (e.g., PathScan® ELISA Kit #7241) .

Research Findings

  • PTP1B Regulation: Studies show PTP1B dephosphorylates MET, reducing Tyr1003 phosphorylation and downstream signaling .

  • Cancer Implications: Overexpression or constitutive activation of MET (e.g., in HCC827 cells) correlates with Tyr1003 hyperphosphorylation .

  • Pathway Interactions: Tyr1003 phosphorylation facilitates binding of adaptors like GRB2, linking MET to survival and proliferation pathways .

Product Comparisons

VendorCatalog #ApplicationsDilution (WB)Species
Cell Signaling#3133WB, IF, IP1:1000H, M, R
St. John's LabsSTJ91076WB, IHC, IF, ELISA1:500–1:2000H, M, R
G-BiosciencesITP0916WB, IHC, IF, ELISA1:500–1:2000H, M, R

Clinical and Biological Significance

  • Cancer Biology: MET dysregulation is implicated in renal cell carcinoma, hepatocellular carcinoma, and gastric cancer .

  • Therapeutic Targeting: Tyr1003 phosphorylation status informs MET inhibitor efficacy (e.g., crizotinib) .

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
We typically ship products within 1-3 business days of receiving your order. Delivery times may vary depending on the shipping method and location. Please contact your local distributor for specific delivery information.
Synonyms
AUTS9 antibody; c met antibody; D249 antibody; Hepatocyte growth factor receptor antibody; HGF antibody; HGF receptor antibody; HGF/SF receptor antibody; HGFR antibody; MET antibody; Met proto oncogene antibody; Met proto oncogene tyrosine kinase antibody; MET proto oncogene; receptor tyrosine kinase antibody; Met proto-oncogene (hepatocyte growth factor receptor) antibody; Met proto-oncogene antibody; Met protooncogene antibody; MET_HUMAN antibody; Oncogene MET antibody; Par4 antibody; Proto-oncogene c-Met antibody; RCCP2 antibody; Scatter factor receptor antibody; SF receptor antibody; Tyrosine-protein kinase Met antibody
Target Names
MET
Uniprot No.

Target Background

Function
MET, a receptor tyrosine kinase, transduces signals from the extracellular matrix into the cytoplasm by binding to hepatocyte growth factor/HGF ligand. This interaction regulates various physiological processes, including cell proliferation, scattering, morphogenesis, and survival. Binding of HGF to MET at the cell surface initiates autophosphorylation of MET's intracellular domain, creating docking sites for downstream signaling molecules. Upon activation, MET interacts with proteins such as the PI3-kinase subunit PIK3R1, PLCG1, SRC, GRB2, STAT3, or the adapter GAB1. These interactions lead to the activation of several signaling cascades, including RAS-ERK, PI3 kinase-AKT, or PLCgamma-PKC. The RAS-ERK pathway is associated with morphogenetic effects, while PI3K/AKT coordinates prosurvival effects. During embryonic development, MET signaling plays a crucial role in gastrulation, the development and migration of muscles and neuronal precursors, angiogenesis, and kidney formation. In adults, MET participates in wound healing, organ regeneration, and tissue remodeling. It also promotes differentiation and proliferation of hematopoietic cells. MET may regulate cortical bone osteogenesis. In the context of microbial infection, MET acts as a receptor for Listeria monocytogenes internalin InlB, facilitating the entry of the pathogen into cells.
Gene References Into Functions
  1. The miR-19a/c-Met pathway plays a critical role in acquired resistance to gefitinib. Manipulating miR-19a may offer a therapeutic strategy to overcome gefitinib resistance. PMID: 28592790
  2. Lung adenocarcinoma exhibits a strong correlation between the expression of C-Met and HER2 proteins. Further research is needed to determine if their co-expression is synergistic in targeted therapy for this cancer type. PMID: 29400000
  3. MET overexpression is more prevalent in high-grade myxofibrosarcoma and the epithelioid variant. Chromosome 7 polysomy, rather than MET gene regional amplification, may contribute to MET protein overexpression. PMID: 30126419
  4. miR-449a suppresses hepatocellular carcinoma tumorigenesis by downregulating activity in the c-Met/ERK pathway. PMID: 30108016
  5. MET amplifications were identified in two cases of endometrial clear-cell carcinoma with mixed features. PMID: 29633423
  6. NGS technology enables the detection of low-abundant ctDNA in blood through ultra-deep sequencing. This allows for the identification of targeted therapies, even in cases with low abundance of gene mutations, as demonstrated by a patient who responded to crizotinib despite low abundance of MET exon 14 skipping. PMID: 29110851
  7. The interplay of dual MET/HER2 overexpression in the AKT and ERK pathways in esophageal cancer has been described. Combination therapy could be a novel approach for esophageal adenocarcinoma with amplification of both MET and HER2. PMID: 29223420
  8. In the context of BRAF-activating mutations, MET inactivation is driven through a negative feedback loop involving inactivation of PP2A phosphatase. This leads to phosphorylation on MET inhibitory Ser985. PMID: 30224486
  9. MET Exon 14 Skipping Mutations in Non-small Cell Lung Cancer PMID: 30037377
  10. MET activation, either through METex14 mutations or amplification, is a characteristic of a subset of early-stage NSCLCs and may coexist with ERBB2 amplification. PMID: 29139039
  11. Serum levels of miR-658 are significantly lower in the NM group compared to the DM group. Similarly, PAX3 and MET levels are lower in the NM group. Overexpression and silencing of miR-658 significantly upregulate or downregulate the levels of PAX3 and MET in gastric cell lines. PMID: 29630524
  12. MiR-206 inhibits the development of epithelial ovarian cancer cells by directly targeting c-Met and inhibiting the c-Met/AKT/mTOR signaling pathway. PMID: 29807226
  13. Gastric cancer progression is not associated with a unique signaling pathway. A feedback loop may exist between the HGF/c-Met and Notch1 signaling pathways, potentially contributing to therapeutic resistance. PMID: 29781036
  14. A strong association exists between MET expression and MET amplification (85% concurrence) in primary stomach tumors and matched liver metastasis. Both MET amplification and MET overexpression are prognostic indicators of poor outcomes. PMID: 29790169
  15. High c-met expression is associated with oral squamous cell carcinoma. PMID: 29286169
  16. FOXO1 serves as a critical linker between HER2 and MET signaling pathways through negative crosstalks. It is a key regulator of acquired lapatinib resistance in HER2-positive gastric cancer cells. PMID: 28343375
  17. This study analyzes how cMET blockade augments radiation therapy in patients with NF2. PMID: 29440379
  18. These findings highlight the relevance of cross-species protein interactions between murine feeder cells and human epithelial cells in 3T3-J2 co-culture. They demonstrate that STAT6 phosphorylation occurs in response to MET activation in epithelial cells. However, STAT6 nuclear translocation does not occur in response to HGF, preventing the transcriptional activity of STAT6. PMID: 29771943
  19. c-Met-activated Mesenchymal Stem Cells (MSC) pre-exposed to hypoxia interact with PrPC at the site of ischemic injury to increase the efficiency of MSC transplantation. PMID: 29705776
  20. A novel G-quadruplex motif has been identified in the Human MET promoter region. PMID: 29054971
  21. A METex14 del mutation-positive NSCLC patient who responded to crizotinib but later relapsed, demonstrated a mixed response to glesatinib. This included reduction in size of a MET Y1230H mutation-positive liver metastasis and concurrent loss of detection of this mutation in plasma DNA. These data demonstrate that glesatinib exhibits a distinct mechanism of target inhibition and can overcome resistance to crizotinib. PMID: 28765324
  22. This study demonstrates that simultaneous inhibition of c-Met and Src signaling in MD-MSCs triggers apoptosis. This reveals vulnerable pathways that could be exploited to develop NF2 therapies. PMID: 28775147
  23. Prolonged treatment with single HGF/c-Met or Hh inhibitors leads to resistance to these inhibitors. This is likely because single c-Met treatment enhances expression of Shh, and vice versa. Targeting both the HGF/c-Met and Hh pathways simultaneously overcomes resistance to single-inhibitor treatment and leads to a more potent antitumor effect in combination with chemotherapy. PMID: 28864680
  24. Unique and tumor-specific tyrosine phosphorylation rewiring was identified in tumors resistant to treatment with the irreversible third-generation EGFR-inhibitor, osimertinib, or the novel dual-targeting EGFR/Met antibody, JNJ-61186372. PMID: 28830985
  25. TGF-beta negatively controls the HGF/c-MET pathway by regulating stemness in glioblastoma. PMID: 29238047
  26. Preclinical efficacy and safety data provide a clear rationale for ongoing clinical studies of Sym015 in patients with MET-amplified tumors. PMID: 28679766
  27. High MET expression is associated with malignant pleural mesothelioma. PMID: 28560410
  28. Real-time PCR and western blotting revealed that Huaier extract decreased p65 and c-Met expression and increased IkappaBalpha expression. Conversely, paclitaxel increased p65 expression and reduced IkappaBalpha and c-Met expression. The molecular mechanisms involved may include inhibition of the NF-kappaB pathway and c-Met expression. PMID: 29039556
  29. c-Met expression is significantly increased in human oral squamous cell carcinoma (OSCC) tissues compared to normal mucosa adjacent to the tumor. However, it was not correlated with clinicopathological parameters. These findings suggest a potential role for c-Met in the progression of OSCC. PMID: 29115556
  30. S49076 exerts its cytotoxic activity at low doses on MET-dependent cells through MET inhibition. At higher, clinically relevant doses, it inhibits growth of MET-independent cells by targeting Aurora B. PMID: 28619752
  31. MET expression was shown to be significantly reduced in the superior temporal gyrus cortex of individuals with autism spectrum disorders. PMID: 28322981
  32. In SCCHN, immunohistochemical overexpression of c-MET above cut-off levels III and particularly II was associated with inferior survival outcomes and advanced disease. PMID: 29103754
  33. This case series presents three patients with cMET amplification who achieved a partial response to Crizotinib. PMID: 29199685
  34. The c-Met/beta1 integrin complex, with its ligand-independent cross-activation and robust affinity for fibronectin, drives invasive oncologic processes. PMID: 28973887
  35. Tivantinib did not suppress MET signaling. Selective MET inhibitors demonstrated an antiproliferative effect only in MHCC97H, the unique cell line displaying MET gene amplification. HCC tumors with high expression of cell proliferation genes defined a group of patients with poor survival. PMID: 28246274
  36. MET mutations have been found in cancer of unknown primary origin (CUP), clustered to the SEMA and TK domain of the receptor. The biomechanical properties of MET mutants may trigger the hyper-invasive phenotype associated with CUP. [review] PMID: 29037604
  37. Kruppel like factor 4 (KLF4) was overexpressed in met proto-oncogene protein (c-Met)-overexpressing non-small-cell lung cancer (NSCLC) cells and tissues. PMID: 29624806
  38. SOCS1 attenuates migration and invasion properties of hepatocellular carcinoma cells at least partly via modulation of MET-mediated epithelial-mesenchymal transition, and controls invasive tumor growth. PMID: 29085209
  39. This study reconfirmed EGFR mutation as a strong predictive marker of Non-Small-Cell Lung Cancer. However, c-MET positivity was not associated with response or progression-free survival, although c-MET overexpression correlated with some clinical characteristics. PMID: 29502124
  40. These findings demonstrate that oncogene E5 is primarily responsible for Met upregulation. E5-induced Met contributes to the motility of HPV-containing cells. These studies reveal a new role for E5 in epithelial-stromal interactions, with implications for cancer development. PMID: 29609071
  41. EGFR T790M mutation and cMET amplification are the primary mechanisms leading to EGFR TKI resistance in lung adenocarcinoma. PMID: 29616327
  42. MET activation is associated with drug resistance in chronic myeloid leukemia. PMID: 28418880
  43. High glucose activated Met receptor in HK2 cells independently of HGF, via induction of integrin a5b1 and downstream signaling. This mode of Met activation is linked to tubular cell damage and apoptosis, potentially representing a novel pathogenic mechanism and a treatment target in diabetic nephropathy. PMID: 28819999
  44. This study explored gene copy number (GCN) variation of EGFR, HER2, c-MYC, and MET in patients with primary colorectal cancer. PMID: 28764718
  45. The HGF/c-MET pathway mediates VEGFR inhibitor resistance and vascular remodeling in NSCLC. PMID: 28559461
  46. Because c-Met is strongly associated with pathological grade, stage, and disease-specific survival, c-Met levels may have the potential to predict patient prognosis and guide clinical diagnosis and treatment of patients with renal cell carcinoma. PMID: 28427859
  47. miR-1 is downregulated in ovarian cancer tissues and may play a tumor suppressive role by inhibiting c-Met expression and its effects on the regulation of cell proliferation, migration, and invasion. PMID: 28698064
  48. Proto-oncogene proteins c-met (MET) mutations Y1248H and D1246N confer resistance in vitro and in vivo. PMID: 28396313
  49. MET overexpression is found in 23.8% of surgically resected NSCLC. MET amplification prevails in 4.6% and is associated with MET overexpression. Neither factor influences prognosis. PMID: 28838386
  50. This study highlights the role of tissue differentiation on pathological response to neoadjuvant chemotherapy in gastric cancer. It shows no impact between FOXP3, HER2, and MET expression in terms of tumor regression grading. PMID: 29696715

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Database Links

HGNC: 7029

OMIM: 114550

KEGG: hsa:4233

STRING: 9606.ENSP00000317272

UniGene: Hs.132966

Involvement In Disease
Hepatocellular carcinoma (HCC); Renal cell carcinoma papillary (RCCP); Deafness, autosomal recessive, 97 (DFNB97); Osteofibrous dysplasia (OSFD)
Protein Families
Protein kinase superfamily, Tyr protein kinase family
Subcellular Location
Membrane; Single-pass type I membrane protein.; [Isoform 3]: Secreted.
Tissue Specificity
Expressed in normal hepatocytes as well as in epithelial cells lining the stomach, the small and the large intestine. Found also in basal keratinocytes of esophagus and skin. High levels are found in liver, gastrointestinal tract, thyroid and kidney. Also

Q&A

What is the biological significance of MET phosphorylation at Tyr1003?

Phosphorylation of MET at tyrosine 1003 serves as a critical regulatory mechanism for this receptor tyrosine kinase. The Tyr1003 residue is located in the juxtamembrane domain and its phosphorylation triggers recruitment of the E3 ubiquitin ligase CBL (Casitas B-lineage lymphoma) . This interaction occurs via CBL's tyrosine kinase binding domain (TKB) and leads to MET ubiquitination . The DpYR motif (where pY represents phosphorylated Tyr1003) is essential for CBL recruitment, and mutation of any of these three residues impairs MET ubiquitination .

Functionally, phosphorylation at Tyr1003:

  • Regulates MET receptor downregulation and degradation

  • Controls MET signaling duration and intensity

  • Acts as a negative regulatory mechanism to prevent excessive MET activation

  • Plays a role in preventing uncontrolled cell proliferation and transformation

When Tyr1003 is mutated, MET displays higher stability and greater transforming capacity compared to wild-type, highlighting its importance in controlling oncogenic potential .

What applications are Phospho-MET (Tyr1003) antibodies validated for in research?

Phospho-MET (Tyr1003) antibodies have been validated for multiple research applications, with variations in recommended dilutions depending on the specific antibody and manufacturer. Based on available data, these antibodies are suitable for:

ApplicationValidatedTypical Dilution Range
Western Blot (WB)Yes1:500-1:3000
Immunohistochemistry (IHC)Yes1:50-1:300
Immunofluorescence (IF)Yes1:100-1:1000
ELISAYes1:10000-1:40000

Most Phospho-MET (Tyr1003) antibodies are rabbit polyclonal antibodies that recognize the phosphorylated form of MET at Tyr1003 specifically, without cross-reactivity to non-phosphorylated MET or other phosphorylated proteins . They typically detect the ~145-155kDa MET protein only when phosphorylated at Tyr1003 .

For optimal results, researchers should validate the antibody in their specific experimental system and optimize conditions for their particular application.

How does the phosphorylation of Tyr1003 regulate MET receptor function?

The phosphorylation of MET at Tyr1003 plays a central role in receptor downregulation through the following mechanisms:

Receptor Degradation Pathway:

  • Upon MET activation by hepatocyte growth factor (HGF), Tyr1003 becomes phosphorylated

  • Phosphorylated Tyr1003 creates a binding site for the CBL ubiquitin ligase

  • CBL binding leads to MET ubiquitination

  • Ubiquitination regulates MET endocytosis, decreasing plasma membrane receptor abundance

  • Internalized receptors undergo endosomal degradation and/or recycling

Interestingly, mutation of Tyr1003 does not impair clathrin-dependent MET internalization (which can still occur through indirect CBL recruitment via GRB2), but the absence of ubiquitination prevents efficient degradation of the internalized receptor . This leads to:

  • Prolonged MET signaling

  • Enhanced cell transformation potential

  • Greater receptor stability

  • Increased cell motility

The DpYR motif containing Tyr1003 is so crucial that mutating any of its three residues impairs MET ubiquitination and can lead to cell transformation .

What methods are recommended for validating the specificity of a Phospho-MET (Tyr1003) antibody?

Validating the specificity of Phospho-MET (Tyr1003) antibodies is crucial for accurate experimental results. Recommended validation approaches include:

Positive Controls:

  • Cell lines with known MET activation (e.g., HGF-stimulated cells)

  • Tissues expressing high levels of phosphorylated MET

  • Recombinant phosphorylated MET protein

Negative Controls:

  • Phosphatase treatment of samples to remove phosphorylation

  • Cells treated with MET kinase inhibitors (e.g., INCB28060)

  • Samples from MET knockout models or MET-Tyr1003 mutant cells

Validation Techniques:

  • Western Blot Analysis:

    • Comparison of HGF-stimulated versus unstimulated cells

    • Detection of a single band at ~145-155 kDa

    • Comparative blotting with total MET antibody

  • Peptide Competition Assay:

    • Pre-incubation of antibody with immunizing phosphopeptide to block specific binding

    • Comparison with non-phosphorylated peptide control

  • Immunoprecipitation-Western Blot:

    • Immunoprecipitate with anti-MET antibody, then probe with phospho-specific antibody (or vice versa)

    • Use general phosphotyrosine antibodies (e.g., p-Tyr-100) as complementary detection

  • Genetic Validation:

    • Expression systems with wild-type versus Y1003F mutant MET

All validation methods should include appropriate specificity controls to ensure the antibody detects only phosphorylated Tyr1003 and not other phosphorylated residues in MET or other proteins.

What is the relationship between MET Tyr1003 phosphorylation and other phosphorylation sites in the MET receptor?

The phosphorylation events in the MET receptor follow a specific hierarchical pattern, with Tyr1003 phosphorylation being dependent on initial activation of the kinase domain. This hierarchical relationship is as follows:

  • Kinase Domain Activation:

    • HGF binding triggers autophosphorylation of Tyr1234/1235 in the activation loop of the MET catalytic domain

    • This phosphorylation is required for activation of MET kinase activity

  • Subsequent Phosphorylation Events:

    • Activated MET then phosphorylates other sites including:

      • Tyr1003 in the juxtamembrane domain

      • Tyr1349 and Tyr1356 in the C-terminal multifunctional docking site

  • Regulatory Cross-talk:

    • Phosphorylation studies in PTP1B-null animals show that when phosphatase activity is absent, both the catalytic (Tyr1234/1235) and regulatory (Tyr1003) sites show increased phosphorylation by 4-6 fold compared to wild-type mice

    • This indicates coordinated regulation of these phosphorylation sites

  • Structural Requirements:

    • Mutation studies demonstrate that Tyr1234/1235 in the activation loop are essential for interaction with phosphatases like PTP1B and TCPTP

    • Substitution of these tyrosines with phenylalanine significantly decreases the interaction with these phosphatases

Interestingly, there's also a functional relationship between the Tyr1003 phosphorylation site and a nearby caspase cleavage site at position 1002. The ESVD1002pY1003R sequence means that MET activation and phosphorylation of Tyr1003 can impair MET cleavage by caspases, providing protection against cell death .

How can researchers optimize western blot protocols for detecting low levels of phosphorylated MET at Tyr1003?

Detecting low levels of phosphorylated MET at Tyr1003 requires careful optimization of western blot protocols. Here are comprehensive recommendations:

Sample Preparation:

  • Rapid Sample Processing:

    • Immediately lyse cells in cold buffer containing phosphatase inhibitors

    • Keep samples on ice throughout processing

    • Use fresh samples when possible to avoid phosphorylation loss

  • Enhanced Lysis Buffer:

    • Include multiple phosphatase inhibitors (sodium fluoride, sodium orthovanadate, β-glycerophosphate)

    • Add protease inhibitors to prevent degradation

    • Consider specific MET inhibitor cocktails

Immunoprecipitation Enrichment:

  • For very low abundance samples, consider immunoprecipitating with a total MET antibody before western blotting for phospho-Tyr1003

  • Alternative approach: use phosphotyrosine antibodies for IP followed by MET detection

Gel Electrophoresis and Transfer:

  • Run lower percentage gels (6-8%) for better resolution of the 145-155 kDa MET protein

  • Consider gradient gels for improved separation

  • Use wet transfer for high molecular weight proteins

  • Transfer at lower voltage for longer time to enhance transfer efficiency

Detection Optimization:

  • Blocking:

    • Use BSA instead of milk for blocking (milk contains phosphatases)

    • Try 5% BSA in TBST for optimal results

  • Antibody Dilution:

    • Start with the manufacturer's recommended dilution (e.g., 1:500-1:2000 for WB)

    • Test multiple dilutions to determine optimal signal-to-noise ratio

    • Consider longer primary antibody incubation at 4°C (overnight)

  • Signal Enhancement:

    • Use highly sensitive ECL substrates for chemiluminescent detection

    • Consider signal amplification systems

    • Try fluorescent secondary antibodies for quantitative analysis with lower background

  • Controls:

    • Include positive control (HGF-stimulated cells)

    • Use PTP1B-null samples which show 4-6 fold increased phosphorylation

    • Run paired total MET blots to normalize phospho-signal

  • Stripping and Reprobing:

    • For multiple detections on the same membrane, use gentle stripping methods

    • Consider running duplicate gels rather than stripping when possible

By methodically optimizing each step of the western blot protocol, researchers can significantly improve detection sensitivity for phosphorylated MET (Tyr1003).

What are the key considerations when studying the role of MET Tyr1003 phosphorylation in cancer models?

Studying MET Tyr1003 phosphorylation in cancer models requires careful consideration of several critical factors:

Model Selection and Characterization:

  • Baseline MET Expression and Activation:

    • Characterize endogenous MET expression levels across potential models

    • Assess basal phosphorylation status at Tyr1003 and other sites

    • Determine HGF responsiveness of each model

  • Cancer-Specific Considerations:

    • Certain cancer types show elevated HGF/MET activity

    • Consider models with MET gene amplification or mutation

    • Pay special attention to models with exon 14 deletion, which affects the Tyr1003 region

Experimental Design Considerations:

  • Stimulation Protocols:

    • Standardize HGF concentrations and timing for consistent activation

    • Consider autocrine vs. paracrine activation in different models

    • Include time-course analyses to capture phosphorylation dynamics

  • Inhibitor Studies:

    • Use highly specific MET inhibitors like INCB28060, which has picomolar enzymatic potency and >10,000-fold selectivity for MET

    • Include both positive controls (HGF stimulation) and negative controls (kinase inhibition)

    • Monitor both Tyr1003 phosphorylation and downstream pathway activation

  • Genetic Manipulation Approaches:

    • Compare wild-type MET vs. Y1003F mutants in isogenic backgrounds

    • Consider CRISPR/Cas9 knock-in models with specific Tyr1003 mutations

    • Evaluate the effects of CBL knockdown as a complementary approach

Functional Readouts:

  • Receptor Dynamics:

    • Measure receptor internalization and degradation rates

    • Quantify receptor half-life with and without HGF stimulation

    • Compare surface vs. total MET levels

  • Signaling Output:

    • Assess activation of downstream pathways (MAPK, PI3K, STAT3)

    • Evaluate cross-talk with other receptors like EGFR and HER-3

    • Measure expression levels of HGF and other relevant ligands

  • Cancer-Relevant Phenotypes:

    • Cell proliferation and survival

    • Migration and invasion

    • Apoptosis resistance

    • In vivo tumor growth and metastasis

Technical Considerations:

  • Phosphorylation Site-Specific Detection:

    • Use validated Phospho-MET (Tyr1003) antibodies with proper controls

    • Consider multiplexed approaches to measure multiple phosphorylation sites

    • Include total MET antibodies to normalize phosphorylation signals

  • Tissue Analysis:

    • For in vivo models, optimize tissue preservation to maintain phosphorylation status

    • Consider phosphatase inhibitor perfusion before tissue harvest

    • Validate antibodies in the specific tissue context (IHC optimization)

By addressing these considerations systematically, researchers can more effectively study the role of MET Tyr1003 phosphorylation in cancer development, progression, and therapeutic response.

How does the regulation of MET Tyr1003 phosphorylation differ between normal and pathological conditions?

The regulation of MET Tyr1003 phosphorylation shows significant differences between normal and pathological states, which has important implications for research and therapeutic development:

Normal Physiological Regulation:

  • Stimulus-Dependent Activation:

    • In normal cells, MET phosphorylation at Tyr1003 occurs transiently following HGF stimulation

    • Tightly controlled negative feedback mechanisms ensure signal termination

    • Phosphorylation initiates receptor downregulation through CBL-mediated ubiquitination

  • Balanced Phosphatase Activity:

    • Phosphatases like PTP1B, PTPN2, and PTPRJ actively dephosphorylate MET at various sites

    • Studies in PTP1B-null animals show that phosphatase activity is crucial for maintaining appropriate phosphorylation levels (4-6 fold increase when phosphatase is absent)

    • The phosphatase PTP-S can interact with the ESVDYR motif containing Tyr1003

  • Normal Degradation Kinetics:

    • Following internalization, phosphorylated MET is efficiently degraded

    • Balanced recycling vs. degradation maintains appropriate receptor levels

Pathological Alterations:

  • Cancer-Associated Mutations:

    • Mutations of Tyr1003 are observed in cancers, though at lower frequency than exon 14 deletions

    • Mutation of Tyr1003 alters interaction with CBL and subsequent ubiquitination

    • Mutated Tyr1003 leads to increased receptor stability and greater transforming capacity

  • Exon 14 Skipping Mutations:

    • Deletion of exon 14, which contains Tyr1003, is more common than point mutations

    • This deletion provides advantages beyond just decreased ubiquitination

    • Exon 14 contains multiple regulatory sites that prevent MET activation or convert MET to a pro-apoptotic factor

  • Altered Phosphatase Expression:

    • Dysregulation of phosphatases that target MET can lead to hyperphosphorylation

    • This can maintain MET in an activated state for longer periods

  • Impaired Degradation Dynamics:

    • Even when internalized, MET with mutated Tyr1003 shows inefficient degradation

    • This leads to prolonged signaling and increased oncogenic potential

  • Survival Advantage:

    • The overlap between the Tyr1003 site and a caspase cleavage site (ESVD1002pY1003R) means that phosphorylation at Tyr1003 can impair MET cleavage by caspases

    • This provides protection against cell death, consistent with the view that ligand-activated receptor provides survival signals

Research and Clinical Implications:

  • Biomarker Potential:

    • Phospho-MET (Tyr1003) levels might serve as biomarkers for dysregulated MET signaling

    • Ratio of phospho-Tyr1003 to total MET could indicate receptor turnover efficiency

  • Therapeutic Targeting:

    • Novel kinase inhibitors like INCB28060 target MET with high specificity

    • Understanding the dynamics of Tyr1003 phosphorylation can inform therapeutic strategies

    • Patients with exon 14 deletions may respond differently to MET-targeted therapies

  • Combination Approaches:

    • Since MET activation can regulate other receptors like EGFR and HER-3 , combination therapies targeting multiple RTKs may be beneficial

    • Targeting both MET kinase activity and receptor degradation pathways may provide synergistic effects

These differences in phosphorylation regulation highlight the importance of context-specific analysis when studying MET signaling in normal versus pathological conditions.

What emerging technologies are advancing the study of MET Tyr1003 phosphorylation dynamics?

Several cutting-edge technologies are transforming how researchers investigate the dynamics of MET Tyr1003 phosphorylation, offering unprecedented temporal and spatial resolution:

Mass Spectrometry-Based Approaches:

  • Quantitative Phosphoproteomics:

    • Multiplexed approaches using isobaric labeling (TMT, iTRAQ) allow comparison of phosphorylation states across multiple conditions

    • SILAC-based methods enable precise quantification of phosphorylation stoichiometry

    • Parallel reaction monitoring (PRM) can focus specifically on Tyr1003-containing peptides

  • Phosphorylation Site Stoichiometry Analysis:

    • Advanced MS approaches can determine the fraction of MET phosphorylated at Tyr1003

    • This provides insights into the efficiency of phosphorylation/dephosphorylation cycles

Live Cell Imaging Techniques:

  • Phospho-Specific Biosensors:

    • FRET-based biosensors designed to detect Tyr1003 phosphorylation

    • Enables real-time visualization of phosphorylation events in living cells

    • Can reveal subcellular compartmentalization of phosphorylation events

  • Super-Resolution Microscopy:

    • Technologies such as STORM, PALM, and STED allow visualization of phosphorylation events with nanometer resolution

    • Can track individual receptor molecules and their phosphorylation status

    • Reveals spatial organization of phosphorylated receptors in membrane microdomains

Single-Cell Analysis Technologies:

  • Single-Cell Phospho-Flow Cytometry:

    • Measures phospho-MET (Tyr1003) levels in individual cells

    • Reveals cell-to-cell heterogeneity in phosphorylation responses

    • Can be combined with other markers for comprehensive phenotyping

  • Mass Cytometry (CyTOF):

    • Metal-tagged antibodies allow measurement of dozens of parameters simultaneously

    • Can profile MET phosphorylation alongside numerous signaling pathways

    • Enables creation of comprehensive signaling network maps

Advanced Genetic Engineering Tools:

  • Optogenetic Control of MET Activity:

    • Light-inducible MET activation systems for precise temporal control

    • Allows study of phosphorylation/dephosphorylation kinetics with minimal perturbation

  • Base Editing and Prime Editing:

    • Precise modification of Tyr1003 and surrounding residues without double-strand breaks

    • Creation of subtle mutations that specifically affect phosphorylation without disrupting protein structure

Microfluidic and Organoid Systems:

  • Microfluidic Gradient Generators:

    • Generate precisely controlled HGF gradients to study spatial phosphorylation patterns

    • Allows study of receptor phosphorylation in the context of cell migration

  • Patient-Derived Organoids:

    • 3D culture systems that better preserve tissue architecture and cell-cell interactions

    • Enable study of MET phosphorylation in more physiologically relevant contexts

    • Can be derived from normal and tumor tissues for comparative studies

Computational Approaches:

  • Kinetic Modeling of Receptor Phosphorylation:

    • Mathematical models of MET phosphorylation/dephosphorylation cycles

    • Prediction of phosphorylation dynamics under various conditions

    • Integration of multiple phosphorylation sites to understand system behavior

  • Machine Learning for Image Analysis:

    • Automated quantification of phospho-MET signals in microscopy images

    • Pattern recognition across large datasets to identify subtle phenotypes

    • Deep learning approaches to predict phosphorylation outcomes from cellular contexts

These emerging technologies are complementary and can be integrated to provide a comprehensive understanding of MET Tyr1003 phosphorylation dynamics in both normal physiology and disease states.

How can phospho-specific antibodies be integrated into multi-parametric analyses of MET signaling networks?

Integrating phospho-specific antibodies targeting MET Tyr1003 into multi-parametric analyses enables comprehensive mapping of MET signaling networks. Here are methodological approaches for such integration:

Multiplexed Immunoassay Platforms:

  • Multiplex Western Blotting:

    • Sequential probing with phospho-specific antibodies targeting different MET residues (Tyr1003, Tyr1234/1235, Tyr1349, Tyr1356)

    • Careful stripping and reprobing protocols to maintain membrane integrity

    • Use of differently sized protein standards to distinguish between phospho-signals

  • Reverse Phase Protein Arrays (RPPA):

    • Spotting of lysates from multiple experimental conditions onto nitrocellulose slides

    • Probing with phospho-MET (Tyr1003) and other signaling antibodies

    • Enables quantitative analysis across hundreds of samples simultaneously

  • Cytometric Bead Arrays:

    • Coupling of phospho-MET (Tyr1003) capture antibodies to uniquely identifiable beads

    • Multiplexed detection of multiple phospho-proteins in single samples

    • Allows correlation of MET phosphorylation with other signaling events

High-Content Imaging Approaches:

  • Multiplexed Immunofluorescence:

    • Use of spectrally distinct fluorophores to detect multiple phosphorylation sites

    • Combined with antibodies targeting downstream effectors (pERK, pAKT, pSTAT3)

    • Subcellular localization analysis of phosphorylated receptors

  • Sequential Immunostaining:

    • Iterative staining and imaging cycles

    • Chemical or heat-based antibody stripping between cycles

    • Can achieve 30+ markers on the same sample, including multiple phospho-epitopes

  • Proximity Ligation Assay (PLA):

    • Detection of protein-protein interactions involving phospho-MET (Tyr1003)

    • Especially useful for studying interactions with CBL, GRB2, or phosphatases

    • Generates distinct puncta only when proteins are in close proximity (<40nm)

Mass Cytometry for Cellular Heterogeneity:

  • CyTOF Panel Design:

    • Metal-tagged phospho-MET (Tyr1003) antibodies combined with other signaling markers

    • Typical panels can include 30-40 markers without spectral overlap

    • Sample preparation protocol optimization:

    StepCritical ParametersOptimization
    FixationConcentration, timePreserve phospho-epitopes
    PermeabilizationDetergent selectionBalance access vs. extraction
    Antibody incubationTemperature, timeMaximize signal-to-noise
    Metal labelingTag selectionAvoid signal overlap
  • Combined Phospho-Flow and Surface Marker Analysis:

    • Allows correlation of MET phosphorylation with cell phenotypes

    • Enables identification of specific cell populations with altered MET signaling

    • Particularly valuable in heterogeneous samples like tumor biopsies

Systems Biology Integration:

  • Phosphoproteomics with Targeted Validation:

    • Global phosphoproteomic profiling to identify network changes

    • Targeted validation of key nodes using phospho-specific antibodies

    • Creation of phosphorylation signatures associated with MET activation

  • Computational Network Analysis:

    • Construction of directed signaling networks with phospho-MET (Tyr1003) as an input node

    • Inference of causal relationships between phosphorylation events

    • Identification of feedback and feedforward loops in the network

  • Perturbation Biology:

    • Systematic perturbation with inhibitors or genetic manipulations

    • Measurement of phospho-MET (Tyr1003) and other network components

    • Generation of predictive models of network behavior

Translational Applications:

  • Tissue Microarray Analysis:

    • Parallel analysis of phospho-MET (Tyr1003) across hundreds of patient samples

    • Correlation with clinical outcomes and other molecular markers

    • Identification of patient subgroups based on MET phosphorylation patterns

  • Liquid Biopsy Approaches:

    • Detection of phospho-MET (Tyr1003) in circulating tumor cells

    • Monitoring treatment responses through changes in phosphorylation profiles

    • Combination with ctDNA analysis for comprehensive biomarker assessment

How can researchers differentiate between the functional impacts of mutations affecting Tyr1003 versus exon 14 deletion in MET?

Differentiating between the functional impacts of point mutations affecting Tyr1003 and complete exon 14 deletion in the MET receptor requires sophisticated experimental designs. Here's a comprehensive methodological approach:

Molecular and Structural Considerations:

  • Construct Design for Comparative Studies:

    • Generate specific constructs representing:
      a) Wild-type MET
      b) Y1003F point mutant (eliminates phosphorylation)
      c) Complete exon 14 deletion mutant
      d) Other mutations within exon 14 affecting the ESVD motif

  • Structural Analysis:

    • Comparison of protein conformation changes:

      • Limited proteolysis to assess structural differences

      • Hydrogen-deuterium exchange mass spectrometry (HDX-MS)

      • Molecular dynamics simulations to predict conformational changes

Signaling Pathway Analysis:

  • Phosphorylation Profiling:

    • Compare phosphorylation patterns across MET variants for:

      • Activation loop phosphorylation (Tyr1234/1235)

      • C-terminal docking sites (Tyr1349/1356)

      • Use phospho-specific antibodies and mass spectrometry

  • Temporal Dynamics of Signaling:

    • Time-course experiments after HGF stimulation:

      • Immediate early response (0-15 minutes)

      • Sustained signaling (30 minutes - 4 hours)

      • Long-term adaptation (6-24 hours)

    • Compare signal duration and amplitude across variants

  • Downstream Pathway Activation:

    • Comparative analysis of:

      • MAPK pathway (ERK1/2, p38, JNK)

      • PI3K/AKT pathway

      • STAT3 signaling

      • Less studied pathways potentially affected by exon 14 deletion

Receptor Trafficking and Degradation:

  • Receptor Internalization Assays:

    • Surface biotinylation followed by internalization tracking

    • Flow cytometry-based internalization assays

    • Live-cell imaging of fluorescently tagged receptors

  • Degradation Kinetics:

    • Pulse-chase experiments to determine receptor half-life

    • Cycloheximide chase assays comparing degradation rates

    • Quantitative analysis of ubiquitination patterns

    MET VariantExpected InternalizationExpected DegradationExpected Half-life
    Wild-typeNormalEfficientShortest
    Y1003FNormal (via GRB2-CBL)ImpairedIntermediate
    Exon 14 delPotentially alteredSeverely impairedLongest
  • CBL Interaction Studies:

    • Co-immunoprecipitation of MET variants with CBL

    • Proximity ligation assays to visualize MET-CBL interactions

    • Analysis of ubiquitination patterns specific to each variant

Functional and Phenotypic Assays:

  • Transformation Potential:

    • Focus formation assays in NIH3T3 cells

    • Soft agar colony formation

    • Cell scatter assays

    • Compare transformation efficiency between Y1003F and exon 14 deletion

  • Migration and Invasion:

    • Wound healing assays

    • Transwell migration assays

    • 3D invasion assays in collagen/Matrigel matrices

    • Live-cell tracking of migration velocity and directionality

  • Survival and Apoptosis Resistance:

    • Response to apoptotic stimuli (serum starvation, chemotherapeutics)

    • Assessment of caspase activation

    • Specific focus on the impact of losing the caspase cleavage site at position 1002 (present in exon 14)

In Vivo Models:

  • Xenograft Studies:

    • Compare tumor formation and growth rates

    • Analyze metastatic potential

    • Response to MET-targeted therapies

  • Genetic Mouse Models:

    • Generate knock-in models with:

      • Y1003F point mutation

      • Exon 14 deletion

    • Compare phenotypes in tissue development and homeostasis

    • Spontaneous tumor formation rates

Therapeutic Response Profiling:

  • Inhibitor Sensitivity:

    • Dose-response curves for:

      • ATP-competitive MET inhibitors

      • Allosteric MET inhibitors

      • Antibodies targeting MET extracellular domain

    • Determination of IC50 values for each variant

  • Combination Therapy Approaches:

    • Combining MET inhibitors with:

      • Proteasome inhibitors

      • Lysosomal inhibitors

      • Other RTK inhibitors (EGFR, HER3)

    • Identify synthetic lethality partners specific to each mutation type

By systematically applying these approaches, researchers can comprehensively differentiate between the specific molecular and functional consequences of Tyr1003 point mutations versus complete exon 14 deletion, which has important implications for targeted therapy development.

What are the technical challenges in preserving MET phosphorylation at Tyr1003 during tissue processing for immunohistochemistry?

Preserving MET phosphorylation at Tyr1003 during tissue processing for immunohistochemistry (IHC) presents significant technical challenges that can impact experimental results. Here's a comprehensive analysis of these challenges and methodological solutions:

Critical Pre-analytical Variables:

  • Time to Fixation (Cold Ischemia Time):

    • Phosphorylation status begins changing immediately after tissue removal

    • Rapid dephosphorylation occurs due to continued phosphatase activity

    • Solution: Minimize time between tissue harvest and fixation (<20 minutes)

  • Fixation Parameters:

    • Standard formalin fixation can adversely affect phospho-epitopes

    • Overfixation may mask epitopes through excessive cross-linking

    • Underfixation leads to poor tissue preservation

    • Solution: Optimize fixation time (typically 12-24 hours for small biopsies) and use phospho-optimized fixatives

  • Tissue Size and Penetration:

    • Larger samples show gradient of fixation from outside to center

    • Center may experience longer cold ischemia before fixative penetration

    • Solution: Use thin tissue sections (≤5mm) or perfusion fixation when possible

Optimized Tissue Processing Protocol:

  • Specimen Collection:

    • Collect tissues in ice-cold PBS containing phosphatase inhibitors

    • Consider in situ fixation when possible

    • For surgical specimens, ensure pathology team is aware of phospho-IHC requirements

  • Phospho-Optimized Fixation:

    • Use freshly prepared 4% paraformaldehyde or 10% neutral buffered formalin

    • Add phosphatase inhibitors to fixative (sodium fluoride, sodium orthovanadate)

    • Consider testing alternative fixatives like zinc-based formulations

  • Processing Schedule:

    • Use shorter dehydration and clearing steps

    • Avoid elevated temperatures during processing

    • Consider microwave-assisted processing for faster penetration with less phospho-epitope loss

  • Paraffin Embedding:

    • Use lowest effective temperature for paraffin infiltration

    • Minimize time in molten paraffin

Antigen Retrieval Optimization:

  • Buffer Selection:

    • Test multiple retrieval buffers:

      • Citrate buffer (pH 6.0)

      • EDTA buffer (pH 8.0-9.0)

      • Tris-EDTA with 0.05% Tween

    • Include phosphatase inhibitors in retrieval buffer

  • Retrieval Method:

    • Compare heat-induced epitope retrieval methods:

      • Pressure cooker (often superior for phospho-epitopes)

      • Microwave

      • Water bath

    • Optimize time and temperature parameters

  • Cooling Period:

    • Allow gradual cooling to prevent tissue detachment

    • Maintain phosphatase inhibitors during cooling

Detection System Considerations:

  • Signal Amplification:

    • Use highly sensitive detection systems:

      • Polymer-based detection

      • Tyramide signal amplification

      • Quantum dot-based detection

  • Background Reduction:

    • Use specialized blocking reagents:

      • Phosphoprotein blockers

      • Avidin/biotin blocking for biotin-based systems

      • Add phosphatase inhibitors to antibody diluent

  • Titration of Primary Antibody:

    • Test range of dilutions beyond manufacturer recommendations (e.g., 1:50-1:300)

    • Include positive and negative controls at each dilution

    • Optimize incubation time and temperature

Validation Approaches:

  • Multi-level Controls:

    • Positive tissue controls (known to express phospho-MET Tyr1003)

    • Negative controls (tissues known to lack MET expression)

    • Peptide competition controls

    • Phosphatase-treated controls

  • Multi-modality Validation:

    • Confirm IHC findings with complementary methods:

      • Western blotting of parallel samples

      • Proximity ligation assay

      • RNA-scope for MET expression correlation

  • Comparison with Fresh Frozen Tissue:

    • When possible, compare FFPE results with fresh frozen sections

Troubleshooting Guide for Phospho-MET (Tyr1003) IHC:

ProblemPotential CauseSolution
No signalEpitope destruction during processingOptimize fixation time, add phosphatase inhibitors
Over-fixationLimit fixation to 24 hours, enhance antigen retrieval
Ineffective antigen retrievalTest alternative buffers and methods
High backgroundNon-specific bindingOptimize blocking, reduce antibody concentration
Endogenous peroxidase activityEnhance peroxidase quenching step
Edge artifactsUneven fixationEnsure uniform fixation, consider smaller samples
Inconsistent resultsVariable pre-analytical handlingStandardize collection to staining workflow

By systematically addressing these technical challenges, researchers can significantly improve the reliability and sensitivity of phospho-MET (Tyr1003) detection in tissue samples, enabling more accurate assessment of MET activation status in both research and potential clinical applications.

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