Phospho-EGFR (Tyr1016) Antibody

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Description

Antibody Characterization

Phospho-EGFR (Tyr1016) antibody (e.g., catalog A93499) is a rabbit polyclonal antibody validated for:

  • Applications: Western blot (WB), immunohistochemistry (IHC), immunofluorescence (IF), and ELISA .

  • Species reactivity: Human, with demonstrated use in HeLa cells, A549 lung cancer cells, and PANC-1 pancreatic cancer cells .

  • Specificity: Targets endogenous EGFR only when phosphorylated at Tyr1016, confirmed by pre-adsorption controls with immunizing peptides .

Key Features

PropertyDetail
Target antigenEGFR phosphorylated at Tyr1016
Host speciesRabbit
Molecular weight~170 kDa (observed), ~134 kDa (calculated)
ApplicationsWB, IHC (paraffin-embedded tissue), IF (cell-based), ELISA
Commercial availabilityAvailable from suppliers like Antibodies.com ($190 for 100 µg)

Role in EGFR Signaling

  • EGFR phosphorylation at Tyr1016 regulates kinase activity and downstream signaling. Studies show that AIB1 protein knockdown reduces phospho-EGFR (Y1068 and other residues) by 57–86% in cancer cells, indirectly implicating Tyr1016 in pathway modulation .

  • In HeLa cells, this antibody localizes EGFR to the cell membrane and cytoplasmic compartments, consistent with EGFR’s role in ligand-activated signaling .

Validation Data

Experiment TypeResult
Western blot (HeLa)Clear band at ~170 kDa, absent in peptide-blocked controls
IHC (breast carcinoma)Strong membranous/cytoplasmic staining in tumor cells
ImmunofluorescenceDistinct membrane labeling in HeLa cells, abolished by peptide competition

Clinical and Research Applications

  • Cancer research: Used to study EGFR hyperactivation in breast, lung, and pancreatic cancers .

  • Therapeutic targeting: Helps evaluate EGFR inhibitor efficacy in preclinical models .

  • Subcellular localization: Visualizes EGFR trafficking in response to ligands like EGF .

Technical Considerations

  • Storage: Typically shipped at 4°C for immediate use or stored at -20°C .

  • Controls: Include peptide competition assays to confirm specificity .

  • Cross-reactivity: No reported cross-reactivity with non-phosphorylated EGFR or other ErbB family members .

Comparison to Other Phospho-EGFR Antibodies

FeaturePhospho-EGFR (Tyr1016)Phospho-EGFR (Tyr1086)
Target residueTyr1016Tyr1086 (human)/Tyr1110 (rodent)
ApplicationsWB, IHC, IF, ELISAWB, IF/ICC
Species reactivityHumanHuman, Mouse, Rat
Price (100 µg)$190 ~$220 (varies by supplier)

Clinical Relevance

EGFR phosphorylation at Tyr1016 correlates with:

  • Tumor aggressiveness in breast carcinomas .

  • Resistance to tyrosine kinase inhibitors in lung cancer .

  • Activation of downstream effectors like MAPK and PI3K/AKT pathways .

Product Specs

Form
Supplied at 1.0mg/mL 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 after receiving them. Delivery times may vary depending on the purchase method and location. Please consult your local distributor for specific delivery information.
Synonyms
Avian erythroblastic leukemia viral (v erb b) oncogene homolog antibody; Cell growth inhibiting protein 40 antibody; Cell proliferation inducing protein 61 antibody; EGF R antibody; EGFR antibody; EGFR_HUMAN antibody; Epidermal growth factor receptor (avian erythroblastic leukemia viral (v erb b) oncogene homolog) antibody; Epidermal growth factor receptor (erythroblastic leukemia viral (v erb b) oncogene homolog avian) antibody; Epidermal growth factor receptor antibody; erb-b2 receptor tyrosine kinase 1 antibody; ERBB antibody; ERBB1 antibody; Errp antibody; HER1 antibody; mENA antibody; NISBD2 antibody; Oncogen ERBB antibody; PIG61 antibody; Proto-oncogene c-ErbB-1 antibody; Receptor tyrosine protein kinase ErbB 1 antibody; Receptor tyrosine-protein kinase ErbB-1 antibody; SA7 antibody; Species antigen 7 antibody; Urogastrone antibody; v-erb-b Avian erythroblastic leukemia viral oncogen homolog antibody; wa2 antibody; Wa5 antibody
Target Names
Uniprot No.

Target Background

Function
The epidermal growth factor receptor (EGFR) is a receptor tyrosine kinase that binds to ligands of the EGF family, activating various signaling cascades to transduce extracellular cues into appropriate cellular responses. Known ligands include EGF, TGFA/TGF-alpha, AREG, epigen/EPGN, BTC/betacellulin, epiregulin/EREG, and HBEGF/heparin-binding EGF. Ligand binding triggers receptor homo- and/or heterodimerization and autophosphorylation on key cytoplasmic residues. The phosphorylated receptor recruits adapter proteins like GRB2, which in turn activates complex downstream signaling cascades. EGFR activates at least four major downstream signaling cascades, including the RAS-RAF-MEK-ERK, PI3 kinase-AKT, PLCgamma-PKC, and STATs modules. It may also activate the NF-kappa-B signaling cascade. EGFR directly phosphorylates other proteins, like RGS16, activating its GTPase activity and potentially coupling EGF receptor signaling to G protein-coupled receptor signaling. It also phosphorylates MUC1 and increases its interaction with SRC and CTNNB1/beta-catenin. EGFR positively regulates cell migration via interaction with CCDC88A/GIV, which retains EGFR at the cell membrane following ligand stimulation, promoting EGFR signaling and triggering cell migration. EGFR plays a role in enhancing learning and memory performance. Isoform 2 may act as an antagonist of EGF action. In terms of microbial infection, EGFR serves as a receptor for hepatitis C virus (HCV) in hepatocytes and facilitates its cell entry. It mediates HCV entry by promoting the formation of the CD81-CLDN1 receptor complexes, essential for HCV entry, and by enhancing membrane fusion of cells expressing HCV envelope glycoproteins.
Gene References Into Functions
  1. Amphiregulin, found in non-small-cell lung carcinoma-derived exosomes, induces osteoclast differentiation through the activation of the EGFR pathway. PMID: 28600504
  2. Combining vorinostat with an EGFRTKI can reverse EGFRTKI resistance in NSCLC. PMID: 30365122
  3. The feasibility of using the radiocobalt labeled antiEGFR affibody conjugate ZEGFR:2377 as an imaging agent is being investigated. PMID: 30320363
  4. Among all transfection complexes tested, 454 lipopolyplexes modified with the bidentate PEG-GE11 agent show the best EGFR-dependent uptake, as well as luciferase and NIS gene expression, into PMID: 28877405
  5. EGFR amplification was higher in the OSCC group than in the control group (P=0.018) and was associated with advanced clinical stage (P=0.013), regardless of age. Patients with EGFR overexpression had worse survival rates, as did patients who had T3-T4 tumors and positive margins. EGFR overexpression negatively impacts disease progression. PMID: 29395668
  6. Clonal analysis reveals that the dominant JAK2 V617F-positive clone in Polycythemia Vera harbors EGFR C329R substitution, suggesting that this mutation may contribute to clonal expansion. PMID: 28550306
  7. Baseline Circulating tumor cell count could serve as a predictive biomarker for EGFR-mutated and ALK-rearranged non-small cell lung cancer, facilitating better guidance and monitoring of patients during molecular targeted therapies. PMID: 29582563
  8. High EGFR expression is associated with cystic fibrosis. PMID: 29351448
  9. These results suggest a mechanism for EGFR inhibition to suppress respiratory syncytial virus by activating endogenous epithelial antiviral defenses. PMID: 29411775
  10. This study detected the emergence of the T790M mutation within the EGFR cDNA in a subset of erlotinib resistant PC9 cell models through Sanger sequencing and droplet digital PCR-based methods, demonstrating that the T790M mutation can emerge via de novo events following treatment with erlotinib. PMID: 29909007
  11. The present study demonstrated that miR145 regulates the EGFR/PI3K/AKT signaling pathway in patients with nonsmall cell lung cancer. PMID: 30226581
  12. Among NSCLC patients treated with EGFR-TKI, those with T790M mutations were found to frequently also show 19 dels, compared to T790M-negative patients. In addition, T790M-positive patients had a longer PFS. Therefore, screening these patients for T790M mutations may help in improving survival. PMID: 30150444
  13. High EGFR expression is associated with Breast Carcinoma. PMID: 30139236
  14. Results showed that CAV-1 could promote anchorage-independent growth and anoikis resistance in detached SGC-7901 cells, associated with the activation of Src-dependent epidermal growth factor receptor-integrin beta signaling, as well as the phosphorylation of PI3K/Akt and MEK/ERK signaling pathways. PMID: 30088837
  15. Our results indicate that FOXK2 inhibits the malignant phenotype of clear-cell renal cell carcinoma and acts as a tumor suppressor, possibly through the inhibition of EGFR. PMID: 29368368
  16. EGFR mutation status in advanced non-small cell lung cancer (NSCLC) patients altered significantly. PMID: 30454543
  17. Different Signaling Pathways in Regulating PD-L1 Expression in EGFR Mutated Lung Adenocarcinoma. PMID: 30454551
  18. Internal tandem duplication of the kinase domain delineates a genetic subgroup of congenital mesoblastic nephroma transcending histological subtypes. PMID: 29915264
  19. The expression level of EGFR increased along with higher stages and pathologic grades of BTCC, and the obviously increased expression of HER-2 was statistically associated with clinical stages and tumor recurrence. In addition, the expression level of HER-2 increased along with the higher clinical stage of BTCC. EGFR expression and HER-2 levels were positively associated in BTCC samples. PMID: 30296252
  20. Results show that GGA2 interacts with the EGFR cytoplasmic domain to stabilize its expression and reduce its lysosomal degradation. PMID: 29358589
  21. Combination therapy of apatinib with icotinib for primary acquired resistance to icotinib may be an option for patients with advanced pulmonary adenocarcinoma with EGFR mutations, but physicians must also be aware of the side effects caused by such therapy. PMID: 29575765
  22. Herein we report a rare case presenting as multiple lung adenocarcinomas with four different EGFR gene mutations detected in three lung tumors. PMID: 29577613
  23. Study supports the involvement of EGFR, HER2, and HER3 in BCC aggressiveness and in tumor differentiation towards different histological subtypes. PMID: 30173251
  24. The ratio of sFlt-1/sEGFR could be used as a novel candidate biochemical marker in monitoring the severity of preterm preeclampsia. sEndoglin and sEGFR may be involved in the pathogenesis of small for gestational age in preterm preelampsia. PMID: 30177039
  25. Study confirmed the prognostic effect of EGFR and VEGFR2 for recurrent disease and survival rates in patients with epithelial ovarian cancer. PMID: 30066848
  26. The data indicate that diagnostic or therapeutic chest radiation may predispose patients with decreased stromal PTEN expression to secondary breast cancer, and that prophylactic EGFR inhibition may reduce this risk. PMID: 30018330
  27. Suggest a unique regulatory feature of PHLDA1 to inhibit the ErbB receptor oligomerization process and thereby control the activity of the receptor signaling network. PMID: 29233889
  28. The study observed the occurrence of not only EGFR C797S mutation but also L792F/Y/H in three NSCLC clinical subjects with acquired resistance to osimertinib treatment. PMID: 28093244
  29. Data show that the expression level of epidermal growth factor-like domain 7 (EGFL7) and epidermal growth factor receptor (EGFR) in invasive growth hormone-producing pituitary adenomas (GHPA) was much higher than that of non-invasive GHPA. PMID: 29951953
  30. Concurrent mutations, in genes such as CDKN2B or RB1, were associated with worse clinical outcome in lung adenocarcinoma patients with EGFR active mutations. PMID: 29343775
  31. ER-alpha36/EGFR signaling loop promotes growth of hepatocellular carcinoma cells. PMID: 29481815
  32. High EGFR expression is associated with colorectal cancer. PMID: 30106444
  33. High EGFR expression is associated with gefitinib resistance in lung cancer. PMID: 30106446
  34. High EGFR expression is associated with tumor-node-metastasis in nonsmall cell lung cancer. PMID: 30106450
  35. Data suggest that Thr264 in TRPV3 is a key ERK1 phosphorylation site mediating EGFR-induced sensitization of TRPV3 to stimulate signaling pathways involved in regulating skin homeostasis. (TRPV3 = transient receptor potential cation channel subfamily V member-3; ERK1 = extracellular signal-regulated kinase-1; EGFR = epidermal growth factor receptor) PMID: 29084846
  36. The EGFR mutation frequency in Middle East and African patients is higher than that shown in white populations but still lower than the frequency reported in Asian populations. PMID: 30217176
  37. EGFR-containing exosomes derived from cancer cells could favor the development of a liver-like microenvironment promoting liver-specific metastasis. PMID: 28393839
  38. The results reveal that the EGF-STAT3 signaling pathway promotes and maintains colorectal cancer (CRC) stemness. In addition, a crosstalk between STAT3 and Wnt activates the Wnt/beta-catenin signaling pathway, which is also responsible for cancer stemness. Thus, STAT3 is a putative therapeutic target for CRC treatment. PMID: 30068339
  39. This result indicated that the T790M mutation is not only associated with EGFR-TKI resistance but may also play a functional role in the malignant progression of lung adenocarcinoma. PMID: 29887244
  40. LOX regulates EGFR cell surface retention to drive tumor progression. PMID: 28416796
  41. In a Han Chinese population, EGFR gene polymorphisms, rs730437 and rs1468727, and haplotype A-C-C were shown to be possible protective factors for the development of Alzheimer's Disease. PMID: 30026459
  42. EGFR proteins at different cellular locations in lung adenocarcinoma might influence the biology of cancer cells and are an independent indicator of a more favorable prognosis and treatment response. PMID: 29950164
  43. Here we report the crystal structure of EGFR T790M/C797S/V948R in complex with EAI045, a new type of EGFR TKI that binds to EGFR reversibly and does not rely on Cys 797. PMID: 29802850
  44. Overexpression of miR-452-3p promoted cell proliferation and mobility and suppressed apoptosis. MiR-452-3p enhanced EGFR and phosphorylated AKT (pAKT) expression but inhibited p21 expression level. MiR-452-3p promoted hepatocellular carcinoma (HCC) cell proliferation and mobility by directly targeting the CPEB3/EGFR axis. PMID: 29332449
  45. This study shows that the D2A sequence of the UPAR induces cell growth through alphaVbeta3 integrin and EGFR. PMID: 29184982
  46. BRAF and EGFR inhibitors are able to synergize to increase cytotoxic effects and decrease stem cell capacities in BRAF(V600E)-mutant colorectal cancer cells. PMID: 29534162
  47. This study confirms a direct correlation between MSI1 and EGFR and may support the important role of MSI1 in activation of EGFR through NOTCH/WNT pathways in esophageal squamous cell carcinoma. PMID: 30202417
  48. Three lines of tyrosine kinase inhibitors (TKIs) therapy can prolong survival in non-small cell lung cancer (NSCLC) patients. Elderly patients can benefit from TKI therapy. EGFR mutation-positive patients can benefit from second-line or third-line TKI therapy. PMID: 29266865
  49. EGFR 19Del and L858R mutations are good biomarkers for predicting the clinical response of EGFR-TKIs. 19Del mutations may have a better clinical outcome. PMID: 29222872
  50. HMGA2-EGFR constitutively induced a higher level of phosphorylated STAT5B than EGFRvIII. PMID: 29193056

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Database Links

HGNC: 3236

OMIM: 131550

KEGG: hsa:1956

STRING: 9606.ENSP00000275493

UniGene: Hs.488293

Involvement In Disease
Lung cancer (LNCR); Inflammatory skin and bowel disease, neonatal, 2 (NISBD2)
Protein Families
Protein kinase superfamily, Tyr protein kinase family, EGF receptor subfamily
Subcellular Location
Cell membrane; Single-pass type I membrane protein. Endoplasmic reticulum membrane; Single-pass type I membrane protein. Golgi apparatus membrane; Single-pass type I membrane protein. Nucleus membrane; Single-pass type I membrane protein. Endosome. Endosome membrane. Nucleus.; [Isoform 2]: Secreted.
Tissue Specificity
Ubiquitously expressed. Isoform 2 is also expressed in ovarian cancers.

Q&A

What is the functional significance of EGFR phosphorylation at Tyr1016?

EGFR phosphorylation at Tyr1016 represents a specific activation state of the receptor that influences downstream signal transduction pathways. When EGFR binds ligands such as EGF, it undergoes autophosphorylation at multiple tyrosine residues, with Tyr1016 serving as one of several key regulatory sites. This phosphorylation creates docking sites for SH2 and PTB domain-containing proteins, subsequently activating various signaling cascades including RAS-RAF-MEK-ERK, PI3 kinase-AKT, PLCγ-PKC pathways .

Unlike other phosphorylation sites like Tyr1068 (which primarily mediates Grb2 binding), Tyr1016 has distinct signaling properties. Research suggests that different phosphorylation sites recruit specific adapter proteins, allowing for nuanced regulation of cellular responses to EGFR activation .

How selective are phospho-specific antibodies for EGFR Tyr1016 compared to other phosphorylation sites?

Available phospho-specific antibodies for EGFR Tyr1016 are designed to detect endogenous levels of EGFR only when phosphorylated at this specific residue. Specificity is achieved through:

  • Immunogen design: Synthetic peptides derived from human EGFR around the phosphorylation site of Tyr1016 (typically spanning amino acids 986-1035)

  • Purification method: Affinity chromatography using the immunizing phospho-peptide

  • Validation: Cross-reactivity testing with other phosphorylated EGFR residues

What experimental applications are supported by Phospho-EGFR (Tyr1016) antibodies?

Phospho-EGFR (Tyr1016) antibodies support multiple experimental techniques with the following typical application parameters:

ApplicationRecommended DilutionNotes
Western Blotting (WB)1:500-1:2000Detects band at ~134kDa
Immunohistochemistry (IHC)1:100-1:300Works in paraffin-embedded tissues
Immunofluorescence (IF)1:200-1:1000For cellular localization studies
ELISA1:5000-1:10000High sensitivity in cell-based ELISA

For optimal results, researchers should: (1) Include positive controls (EGF-stimulated cells), (2) Incorporate negative controls (unphosphorylated samples or phosphatase-treated samples), and (3) Validate antibody specificity in their particular experimental system .

What are the optimal sample preparation protocols for detecting Phospho-EGFR (Tyr1016)?

Phosphorylated proteins are notoriously labile, requiring careful sample preparation to preserve phosphorylation status. For Phospho-EGFR (Tyr1016) detection, the following protocols are recommended:

Cell Lysate Preparation:

  • Stimulate cells with EGF (100 ng/mL for 5-10 minutes) to maximize phosphorylation

  • Rapidly lyse cells in buffer containing phosphatase inhibitors (sodium orthovanadate, sodium fluoride, and phosphatase inhibitor cocktails)

  • Maintain samples at 4°C throughout processing

  • Use fresh samples when possible or store at -80°C with phosphatase inhibitors

Tissue Sample Preparation:

  • Flash-freeze tissues immediately after collection

  • Process tissues in phosphatase inhibitor-containing buffers

  • For IHC applications, fix tissues rapidly and limit fixation time

The key challenge is preventing phosphatase activity during sample preparation. Research shows that even brief exposure to phosphatases can dramatically reduce detectable phospho-EGFR levels .

How can researchers validate the specificity of phospho-EGFR (Tyr1016) antibody signals?

Validating antibody specificity is critical for phospho-EGFR research. Recommended validation approaches include:

  • Phosphatase treatment control: Treating duplicate samples with lambda phosphatase to demonstrate phosphorylation-dependent antibody recognition

  • Peptide competition assay: Pre-incubating antibody with phosphorylated and non-phosphorylated peptides to confirm epitope specificity

  • Knockdown/knockout validation: Using siRNA-mediated EGFR depletion to confirm signal specificity (studies have shown 57-86% reduction in phospho-EGFR Y1068 levels after AIB1 siRNA treatment, with similar effects expected for Tyr1016)

  • Stimulation/inhibition experiments:

    • Positive control: EGF stimulation (100 ng/mL, 5-10 minutes)

    • Negative control: EGFR inhibitor pretreatment (gefitinib or erlotinib)

  • Mass spectrometry correlation: Where possible, correlating antibody-based detection with MS-based phosphoproteomic analysis

These validation steps help distinguish genuine phospho-EGFR signals from potential artifacts or cross-reactivity .

What are the critical differences in detecting phospho-EGFR (Tyr1016) in various sample types?

Different sample types present unique challenges for phospho-EGFR detection:

Sample TypeCritical ConsiderationsRecommended Approaches
Cell linesPhosphorylation is dynamic and influenced by culture conditionsStandardize growth conditions; use serum starvation followed by controlled EGF stimulation
FFPE tissuesPhospho-epitopes may be masked by fixationOptimize antigen retrieval (pH 9.0 buffer often superior); extend retrieval time
Fresh frozen tissuesRapid phosphatase activation post-collectionMinimize time between collection and fixation/freezing; use phosphatase inhibitors
Clinical samplesHeterogeneous cell populationsConsider microdissection; use dual staining to identify cell types

Studies have shown that phospho-EGFR detection efficiency can vary significantly between fresh and archived samples, with phosphorylation signal loss of up to 70% in improperly handled specimens .

How does phosphorylation at Tyr1016 compare functionally with other EGFR phosphorylation sites in cancer models?

Research comparing different EGFR phosphorylation sites reveals distinct functional roles:

Phosphorylation SitePrimary Adapter BindingMajor Signaling PathwayClinical Significance
Tyr1016PLC-γ1Ca²⁺/PKC signalingAssociated with cell migration and invasion
Tyr1068Grb2RAS/MAPK signalingPredictive biomarker for EGFR-TKI response
Tyr1173Shc, SHP1ERK activationAssociated with shorter PFS in EGFR-TKI therapy
Tyr845STAT5bJAK/STAT signalingOften Src-dependent, not autophosphorylation

The mutational analysis data suggests that phosphorylation patterns at these sites are not simply redundant but represent functionally distinct signaling states. For example, patients with pTyr1068 expression had superior progression-free survival after EGFR-TKI therapy compared to pTyr1068-negative cases (median PFS 7.0 months vs. 1.2 months, p<0.001), while pTyr1173 expression was associated with shorter PFS (4.8 months vs. 7.7 months, p=0.016) .

This functional differentiation underscores the importance of examining specific phosphorylation sites rather than general EGFR activation in cancer research .

What are the methodological approaches for studying EGFR phosphorylation dynamics in real-time?

Advanced techniques for monitoring EGFR phosphorylation dynamics include:

  • Phospho-flow cytometry:

    • Advantages: Single-cell resolution, quantitative, high-throughput

    • Limitations: Requires highly specific antibodies, limited spatial information

  • FRET-based biosensors:

    • Advantages: Real-time visualization, spatial information

    • Methodology: Construct biosensors with SH2 domains fused to fluorescent proteins

    • Example: CFP-YFP FRET pairs that change conformation upon binding to phosphorylated EGFR

  • Bioluminescence resonance energy transfer (BRET):

    • Advantages: Reduced phototoxicity compared to FRET, suitable for longer monitoring

    • Applications: Studies of EGFR inhibitor kinetics in living cells

  • Multiple reaction monitoring mass spectrometry:

    • Advantages: Multiplexed analysis of multiple phosphorylation sites, absolute quantification

    • Challenges: Complex sample preparation, lower throughput

These approaches reveal that EGFR phosphorylation at Tyr1016 and other sites follows complex temporal dynamics, with different sites showing distinct phosphorylation and dephosphorylation kinetics .

How does mutational status of EGFR affect phosphorylation patterns at Tyr1016?

The relationship between EGFR mutations and phosphorylation at specific sites is complex:

Research has shown that in cancer cell lines with EGFR mutations, reduction of AIB1 (Amplified in Breast Cancer 1) with siRNA reduced phospho-EGFR levels without altering total EGFR expression. Additionally, the phosphorylation efficiency is influenced by amino acid context around the tyrosine residue, with substitutions at -1 and +1 positions significantly affecting phosphorylation levels .

How can phospho-EGFR (Tyr1016) detection be integrated into multiplex phosphoproteomic analyses?

Integrating phospho-EGFR (Tyr1016) into broader phosphoproteomic analyses requires strategic approaches:

  • Antibody-based multiplex platforms:

    • Reverse phase protein arrays (RPPA): Allow simultaneous detection of multiple phospho-proteins

    • Multiplexed IHC/IF: Sequential staining or spectral unmixing approaches

    • Antibody arrays: Commercial platforms like the EGF Pathway Phospho Antibody Array include phospho-EGFR (Tyr1016) among 214 antibodies for comprehensive pathway analysis

  • Mass spectrometry approaches:

    • Enrichment strategies: Anti-phosphotyrosine antibodies or TiO₂ enrichment prior to MS

    • Multiple reaction monitoring (MRM): Targeted approach for specific phosphopeptides

    • Parallel reaction monitoring (PRM): Higher specificity for complex samples

  • Computational integration:

    • Network analysis of phosphorylation patterns

    • Correlation of phosphorylation sites with downstream events

    • Kinase-substrate relationship mapping

When implementing these approaches, researchers should consider that different phosphorylation sites may have different turnover rates and abundance levels. For example, studies have shown that the phosphorylation of multiple EGFR tyrosine residues (Y992, Y1045, Y1068, Y845) decreased in response to AIB1 siRNA treatment, suggesting coordinated regulation of multiple phosphorylation sites .

What is the potential of phospho-EGFR (Tyr1016) as a biomarker in cancer patient stratification?

While phospho-EGFR at Tyr1068 has been more extensively studied as a biomarker, emerging research suggests potential utility for other phosphorylation sites including Tyr1016:

  • Current clinical evidence:

    • Phospho-EGFR status at specific sites correlates with EGFR-TKI response

    • In a study of 205 NSCLC patients, those with pTyr1068 expression had significantly improved response rates and progression-free survival compared to pTyr1068-negative cases

    • Similar biomarker potential may exist for pTyr1016, though more validation is needed

  • Predictive value in wild-type EGFR:

    • Particularly valuable for identifying EGFR-TKI responders among patients with wild-type EGFR

    • 16 patients with both wild-type EGFR and pTyr1068 who responded to EGFR-TKIs showed median PFS of 15.6 months (95% CI: 7.28-23.9)

  • Technical considerations for clinical implementation:

    • Standardized IHC protocols with careful validation

    • Need for reference standards and scoring systems

    • Pre-analytical variables control (fixation time, processing)

The data suggest that phosphorylation status provides complementary information to mutation status in predicting treatment response, potentially allowing more precise patient stratification .

How do different EGFR-targeted therapies affect phosphorylation at Tyr1016 compared to other sites?

Different EGFR-targeted therapies show variable effects on phosphorylation at different tyrosine residues:

  • Tyrosine kinase inhibitors (TKIs):

    • First-generation TKIs (erlotinib, gefitinib): Generally inhibit phosphorylation at multiple sites, but with varying efficiency

    • Third-generation TKIs (osimertinib): Show distinct phospho-inhibition profiles, particularly in T790M mutants

    • Site-specific differences in inhibition sensitivity may contribute to variable clinical responses

  • Monoclonal antibodies:

    • Cetuximab: Inhibits ligand binding and consequently reduces phosphorylation at multiple sites

    • Potentially different effects on constitutive versus ligand-induced phosphorylation

  • Resistance mechanisms:

    • Bypass pathway activation may lead to restoration of phosphorylation despite continued EGFR inhibition

    • Secondary mutations can alter the phosphorylation pattern at multiple sites

Studies examining the effect of AIB1 knockdown showed differential effects on EGFR phosphorylation at various sites. This suggests that therapeutic interventions targeting different aspects of EGFR signaling may have site-specific effects on phosphorylation patterns .

What are the methodological challenges in standardizing phospho-EGFR detection for clinical applications?

Standardizing phospho-EGFR detection for clinical applications faces several significant challenges:

  • Pre-analytical variables:

    • Tissue handling: Time to fixation critical for preserving phosphorylation status

    • Fixation protocols: Duration and fixative type affect epitope preservation

    • Phosphatase activity: Rapid loss of phosphorylation if not properly controlled

  • Analytical standardization:

    • Antibody validation: Rigorous specificity testing required for clinical use

    • Staining protocols: Need for standardized IHC procedures and automated platforms

    • Scoring systems: Development of quantitative or semi-quantitative assessment methods

  • Clinical validation challenges:

    • Reference standards: Limited availability of appropriate positive/negative controls

    • Inter-laboratory reproducibility: Significant variability observed in multi-center studies

    • Threshold determination: Defining clinically meaningful cutoffs for "positive" status

  • Technical considerations for implementation:

    • Need for standard operating procedures specific to phospho-epitopes

    • Training of pathologists for interpretation

    • Quality assurance programs

Research comparing phospho-EGFR detection across different laboratories has shown considerable variability, highlighting the need for stringent standardization before clinical implementation. Proficiency testing programs specifically addressing phospho-protein detection would be valuable for improving inter-laboratory concordance .

How should researchers quantify and normalize phospho-EGFR (Tyr1016) signals in different experimental contexts?

Quantification and normalization strategies should be tailored to the experimental technique:

For Western Blotting:

For Immunohistochemistry:

  • Use digital image analysis with validated algorithms

  • Score based on intensity and percentage of positive cells (H-score or Allred system)

  • Include on-slide positive and negative controls

  • Consider dual staining for phospho and total EGFR

For Flow Cytometry:

  • Report median fluorescence intensity (MFI)

  • Calculate phospho/total EGFR ratio at single-cell level

  • Use isotype and unstimulated controls for background subtraction

For Multiplex Assays:

  • Apply appropriate normalization to control spots (antibody arrays)

  • Use normalization algorithms suitable for the platform

  • Consider batch effects in large-scale studies

Research has shown that quantifying the ratio of phosphorylated to total protein provides more reliable results than absolute phosphorylation levels alone, particularly when comparing samples across different experimental conditions or patient cohorts .

How can researchers reconcile contradictory findings between different phospho-EGFR detection methods?

When facing contradictory results between different detection methods for phospho-EGFR, consider these systematic troubleshooting approaches:

  • Method-specific limitations:

    • IHC: Potential epitope masking, semi-quantitative nature

    • Western blot: Cell population averaging, lysis conditions affecting phosphorylation

    • ELISA: Potential cross-reactivity, limited spatial information

    • Mass spectrometry: Sensitivity limitations for low-abundance phosphopeptides

  • Systematic reconciliation approach:

    • Evaluate antibody specificity across methods (identical antibody vs. different clones)

    • Consider temporal dynamics (snapshot vs. time-course measurements)

    • Assess sample preparation differences (fixation, lysis buffers, phosphatase inhibitors)

    • Analyze population heterogeneity effects (bulk vs. single-cell measurements)

  • Methodological triangulation:

    • Use orthogonal techniques for verification

    • Implement functional assays to correlate phosphorylation with biological outcomes

    • Consider genetic approaches (phospho-mimetic or phospho-resistant mutations)

Studies comparing different phospho-EGFR detection methods found that phosphorylation-specific antibodies can give differing results depending on epitope accessibility and phosphatase activity during sample preparation. For example, Western blot and IHC results for phospho-EGFR may not always correlate perfectly due to differences in sample processing and epitope preservation .

What analytical approaches best identify relationships between EGFR phosphorylation at Tyr1016 and downstream signaling events?

Advanced analytical approaches for linking Tyr1016 phosphorylation to downstream signaling include:

  • Correlation analysis:

    • Pearson or Spearman correlation between phospho-EGFR (Tyr1016) and downstream phospho-proteins

    • Time-lagged correlations to identify sequential activation events

    • Partial correlation analysis to control for confounding factors

  • Pathway analysis:

    • Bayesian network inference from phosphoproteomic data

    • Causal reasoning algorithms to infer directionality

    • Enrichment analysis of activated pathways

  • Perturbation-based approaches:

    • Measure changes in Tyr1016 phosphorylation and downstream effects after targeted inhibition

    • Combine phospho-specific antibodies with small molecule inhibitors of downstream pathways

    • Use of phospho-mimetic or phospho-deficient EGFR mutants

  • Computational modeling:

    • Ordinary differential equation (ODE) models of EGFR phosphorylation dynamics

    • Logic-based models of signaling networks

    • Integration of phosphoproteomic data with transcriptomic responses

Research has demonstrated that phosphorylation at Tyr1016 has distinct downstream effects compared to other sites. For example, studies show that while Tyr1068 phosphorylation strongly affects STAT5 and JNK activation, other phosphorylation sites may preferentially couple to different downstream pathways .

How do novel EGFR mutations and variants affect phosphorylation patterns at Tyr1016?

Recent research is uncovering complex relationships between novel EGFR mutations and phosphorylation patterns:

  • Atypical activating mutations:

    • Exon 20 insertions show distinct phosphorylation profiles compared to classical mutations

    • Compound mutations (multiple mutations in the same EGFR allele) demonstrate unique phosphorylation signatures

    • These differences may explain variable therapeutic responses

  • Structural impact analysis:

    • Mutations distant from the kinase domain can allosterically affect phosphorylation at specific sites

    • Molecular dynamics simulations predict how mutations alter accessibility of tyrosine residues

    • Experimental validation using phospho-specific antibodies confirms computational predictions

  • Splice variants:

    • EGFRvIII and other variants show altered baseline and ligand-induced phosphorylation

    • Site-specific differences in phosphorylation between wild-type and variant EGFR

    • Potential implications for targeted therapy approaches

Deep mutational analysis of EGFR phosphosites reveals that mutations affecting the sequence context around Tyr1016 can significantly impact phosphorylation efficiency. For instance, substitutions of acidic residues 5-10 positions before Tyr992 increase phosphorylation relative to the wild-type sequence, suggesting complex regulatory mechanisms .

What role does Tyr1016 phosphorylation play in non-canonical EGFR signaling pathways?

Beyond classical EGFR signaling pathways, phosphorylation at Tyr1016 may influence several non-canonical mechanisms:

  • Nuclear EGFR signaling:

    • Phosphorylated EGFR can translocate to the nucleus

    • Potential role of specific phosphorylation sites in determining nuclear localization

    • Phospho-Tyr1016 may influence interactions with nuclear transport proteins

  • EGFR-mediated DNA repair:

    • EGFR interacts with DNA-dependent protein kinase (DNA-PK)

    • Site-specific phosphorylation may regulate these interactions

    • Implications for radiotherapy resistance in cancer

  • Mitochondrial EGFR functions:

    • EGFR localization to mitochondria affects cellular metabolism

    • Phosphorylation status may influence mitochondrial targeting

    • Potential impact on cancer cell metabolic reprogramming

  • Exosomal EGFR signaling:

    • Phosphorylated EGFR in exosomes may mediate cell-cell communication

    • Different phosphorylation sites could affect exosomal packaging

    • Potential role in tumor microenvironment modulation

Recent studies suggest that EGFR phosphorylation at different sites may determine its subcellular trafficking and non-canonical functions, extending beyond classical plasma membrane signaling pathways .

How does the tumor microenvironment influence EGFR phosphorylation at Tyr1016?

The tumor microenvironment significantly impacts EGFR phosphorylation through multiple mechanisms:

  • Hypoxia effects:

    • Hypoxic conditions alter EGFR phosphorylation profiles

    • Differential effects on specific phosphorylation sites

    • Potential implications for therapy resistance in hypoxic tumors

  • Inflammatory mediators:

    • Cytokines and chemokines in the tumor microenvironment can trigger EGFR transactivation

    • Site-specific phosphorylation patterns differ between direct ligand activation and transactivation

    • Cross-talk between inflammatory signaling and EGFR phosphorylation

  • Extracellular matrix interactions:

    • Integrin-mediated EGFR activation shows distinct phosphorylation patterns

    • Matrix stiffness affects EGFR clustering and subsequent phosphorylation

    • Spatial organization of receptors influences phosphorylation efficiency

  • Stromal cell influences:

    • Paracrine factors from cancer-associated fibroblasts modify EGFR phosphorylation

    • Site-specific effects on phosphorylation have been observed

Experimental approaches to study these interactions include 3D cell culture models, co-culture systems, and in vivo imaging of phosphorylated EGFR in tumor contexts, which reveal dynamic regulation of site-specific phosphorylation in response to microenvironmental conditions .

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