EGFR (Ab-678) Antibody

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Description

Target and Epitope Specificity

EGFR (Ab-678) binds to a linear epitope within the intracellular juxtamembrane domain of EGFR (amino acids 676–680) . This region is critical for receptor dimerization and downstream signaling. Unlike therapeutic anti-EGFR monoclonal antibodies (e.g., cetuximab, panitumumab), which target extracellular domains (ECDs) , Ab-678’s intracellular epitope makes it suitable for detecting total EGFR levels in assays like Western blotting (WB) .

Western Blot Validation

  • Detects endogenous EGFR in HUVEC (human umbilical vein endothelial cells) and MDA-MB-231 (breast cancer) cell lines .

  • Unlike phosphorylation-specific antibodies (e.g., anti-pY1173 ), Ab-678 identifies total EGFR, making it useful for baseline expression studies.

Comparative Analysis with Other EGFR Antibodies

AntibodyClonalityEpitopeApplicationsKey Difference
EGFR (Ab-678) PolyclonalIntracellular (676–680)WBTargets total EGFR
Cetuximab MonoclonalExtracellular (ECD)TherapeuticBlocks ligand binding, used in cancer therapy
Anti-pY1173 MonoclonalPhospho-Y1173IP, WB, Flow CytometryDetects activated EGFR
GC1118 MonoclonalECDPreclinical studiesOvercomes cetuximab resistance

Mechanistic Insights

EGFR activation involves ligand-induced dimerization, tyrosine autophosphorylation, and downstream signaling (e.g., MAPK, PI3K/AKT) . While therapeutic antibodies like cetuximab inhibit ligand binding and receptor internalization , Ab-678 serves as a tool to quantify EGFR expression levels, aiding in studies of EGFR overexpression in cancers or resistance mechanisms .

Limitations and Considerations

  • Specificity: Validated for WB but not for immunohistochemistry (IHC) or flow cytometry .

  • Species Reactivity: Limited to human, mouse, and rat samples .

  • Therapeutic Context: Unlike Sym004 (a bispecific antibody) or necitumumab , Ab-678 is not used clinically but remains critical for preclinical research.

Product Specs

Form
Supplied at a concentration of 1.0mg/mL in phosphate buffered saline (without Mg2+ and Ca2+), pH 7.4, containing 150mM NaCl, 0.02% sodium azide and 50% glycerol.
Lead Time
Typically, we can ship your orders within 1-3 business days of receiving them. Delivery times may vary depending on the shipping method and location. Please consult your local distributor for specific delivery times.
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
EGFR (Epidermal Growth Factor Receptor) is a receptor tyrosine kinase that binds to ligands of the EGF family, triggering a cascade of signaling events that convert extracellular signals into intracellular responses. These ligands include EGF (Epidermal Growth Factor), TGFA (Transforming Growth Factor alpha), AREG (Amphiregulin), EPGN (Epigen), BTC (Betacellulin), EREG (Epiregulin), and HBEGF (Heparin-binding EGF). Upon ligand binding, EGFR undergoes homo- and/or heterodimerization and autophosphorylation on key cytoplasmic residues. This phosphorylation event recruits adapter proteins like GRB2, initiating complex downstream signaling cascades. EGFR activates at least four major downstream signaling pathways: 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, enhancing its GTPase activity and potentially coupling EGFR signaling to G protein-coupled receptor signaling. It also phosphorylates MUC1, increasing its interaction with SRC and CTNNB1/beta-catenin. EGFR positively regulates cell migration through interaction with CCDC88A/GIV, which retains EGFR at the cell membrane after ligand stimulation, thus promoting EGFR signaling and triggering cell migration. EGFR plays a crucial role in enhancing learning and memory performance. Isoform 2 of EGFR might act as an antagonist of EGF action. In microbial infections, EGFR acts as a receptor for hepatitis C virus (HCV) in hepatocytes, facilitating viral entry. It mediates HCV entry by promoting the formation of 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 utilizing the radiocobalt-labeled antiEGFR affibody conjugate ZEGFR:2377 as an imaging agent has been explored. PMID: 30320363
  4. Among all transfection complexes, 454 lipopolyplexes modified with the bidentate PEG-GE11 agent exhibit the best EGFR-dependent uptake, as well as luciferase and NIS gene expression into PMID: 28877405
  5. EGFR amplification was found to be higher in the OSCC group compared to the control group (P=0.018) and was associated with advanced clinical stage (P=0.013), independent of age. Patients with EGFR overexpression exhibited worse survival rates, as did patients with T3-T4 tumors and positive margins. EGFR overexpression has a detrimental impact on disease progression. PMID: 29395668
  6. Clonal analysis reveals that the dominant JAK2 V617F-positive clone in Polycythemia Vera harbors the EGFR C329R substitution, suggesting a potential contribution of this mutation 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, providing 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 findings suggest a mechanism for EGFR inhibition to suppress respiratory syncytial virus through activation of 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 using Sanger sequencing and droplet digital PCR-based methods. These results demonstrate that the T790M mutation can arise de novo following treatment with erlotinib. PMID: 29909007
  11. This study reveals 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 exhibit 19 dels, compared to T790M-negative patients. Furthermore, T790M-positive patients exhibited longer PFS. Therefore, screening these patients for T790M mutations could contribute to improved survival. PMID: 30150444
  13. High EGFR expression is associated with Breast Carcinoma. PMID: 30139236
  14. Results show that CAV-1 promotes anchorage-independent growth and anoikis resistance in detached SGC-7901 cells, which is linked to 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 findings indicate that FOXK2 inhibits the malignant phenotype of clear-cell renal cell carcinoma and acts as a tumor suppressor, potentially through the inhibition of EGFR. PMID: 29368368
  16. EGFR mutation status in advanced non-small cell lung cancer (NSCLC) patients has undergone significant alterations. 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 that transcends histological subtypes. PMID: 29915264
  19. The expression level of EGFR increased with higher stages and pathologic grades of BTCC, and the significantly increased expression of HER-2 was statistically associated with clinical stages and tumor recurrence. Additionally, the expression level of HER-2 increased with higher clinical stages of BTCC. EGFR expression and HER-2 levels exhibited a positive association in BTCC samples. PMID: 30296252
  20. Results demonstrate 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 might be a viable option for patients with advanced pulmonary adenocarcinoma harboring EGFR mutations. However, physicians must be aware of the potential side effects associated with this therapy. PMID: 29575765
  22. Here we report a rare case presenting as multiple lung adenocarcinomas with four different EGFR gene mutations identified in three lung tumors. PMID: 29577613
  23. This 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 potentially serve as a novel biochemical marker for monitoring the severity of preterm preeclampsia. sEndoglin and sEGFR might contribute to the pathogenesis of small for gestational age in preterm preelampsia. PMID: 30177039
  25. This study confirmed the prognostic effect of EGFR and VEGFR2 on recurrent disease and survival rates in patients with epithelial ovarian cancer. PMID: 30066848
  26. The data suggest that diagnostic or therapeutic chest radiation may predispose patients with decreased stromal PTEN expression to secondary breast cancer, and that prophylactic EGFR inhibition might reduce this risk. PMID: 30018330
  27. These findings suggest a unique regulatory feature of PHLDA1 in inhibiting the ErbB receptor oligomerization process, thereby controlling the activity of the receptor signaling network. PMID: 29233889
  28. This 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 indicate 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 significantly higher than that of non-invasive GHPA. PMID: 29951953
  30. Concurrent mutations, in genes such as CDKN2B or RB1, were associated with poorer clinical outcome in lung adenocarcinoma patients with EGFR active mutations. PMID: 29343775
  31. The ER-alpha36/EGFR signaling loop promotes the 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 Eastern and African patients is higher than that observed 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. Results reveal that the EGF-STAT3 signaling pathway promotes and maintains colorectal cancer (CRC) stemness. Additionally, a crosstalk between STAT3 and Wnt activates the Wnt/beta-catenin signaling pathway, which is also responsible for cancer stemness. Thus, STAT3 is a potential therapeutic target for CRC treatment. PMID: 30068339
  39. This result indicates 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 potential protective factors against the development of Alzheimer's Disease. PMID: 30026459
  42. EGFR proteins located at different cellular locations in lung adenocarcinoma might influence the biology of cancer cells and serve as 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 novel 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 while suppressing 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 reveals that the D2A sequence of the UPAR induces cell growth through alphaVbeta3 integrin and EGFR. PMID: 29184982
  46. BRAF and EGFR inhibitors have the potential to synergize in increasing cytotoxic effects and decreasing stem cell capacities in BRAF(V600E)-mutant colorectal cancer cells. PMID: 29534162
  47. This study confirms a direct correlation between MSI1 and EGFR and might support the crucial role of MSI1 in the 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 valuable biomarkers for predicting the clinical response to EGFR-TKIs. 19Del mutations might be associated with a more favorable clinical outcome. PMID: 29222872
  50. HMGA2-EGFR constitutively induced a higher level of phosphorylated STAT5B compared to 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 target epitope of EGFR (Ab-678) Antibody and how does it affect detection applications?

EGFR (Ab-678) Antibody targets a peptide sequence around amino acids 676-680 (K-R-T-L-R) derived from Human EGFR. This epitope is located in a specific region of the EGFR protein that enables detection of endogenous levels of total EGFR protein. The antibody was produced by immunizing rabbits with a synthetic peptide conjugated to KLH (Keyhole Limpet Hemocyanin), which enhances immunogenicity . This specific epitope selection has important implications for experimental design, as it allows detection of EGFR regardless of phosphorylation status, making it suitable for total EGFR quantification across various experimental conditions .

For most accurate detection, researchers should consider that this C-terminal epitope will be present in most EGFR variants except those with C-terminal truncations. When monitoring receptor dynamics, this antibody can be paired with phospho-specific antibodies to distinguish between total and activated EGFR populations in the same experimental system.

What species reactivity is confirmed for EGFR (Ab-678) Antibody and how can cross-species applications be validated?

EGFR (Ab-678) Antibody has confirmed reactivity against human, mouse, and rat EGFR . This cross-species reactivity is attributable to the conservation of the target epitope sequence across these species. When designing experiments using non-validated species, preliminary validation should include:

  • Western blotting with appropriate positive controls from the species of interest

  • Signal comparison with established EGFR-expressing tissues/cell lines from validated species

  • Peptide competition assays to confirm specificity in the new species

For comparative studies across species, researchers should note that while the epitope is conserved, binding affinity may vary slightly between species due to differences in surrounding amino acids that could affect epitope accessibility. Quantitative comparisons between species should be interpreted with this consideration in mind.

What are the validated applications for EGFR (Ab-678) Antibody and their optimization strategies?

EGFR (Ab-678) Antibody is primarily validated for Western blotting (WB) with a recommended dilution range of 1:500 to 1:1000 . Experimental evidence demonstrates successful detection of the 175 kDa EGFR protein in cell extracts from HUVEC and MDA cells .

Other potential applications include ELISA, immunohistochemistry (IHC), and immunoprecipitation (IP) . For immunoprecipitation protocols, approximately 10 μL of antibody should be used with 25 μL of Protein A-agarose beads and 1.0 mL of lysate containing approximately 1.0 mg of total protein .

Application-specific optimization strategies include:

  • For Western blotting: Use 8% polyacrylamide gels for optimal separation of high molecular weight EGFR (175 kDa); transfer to PVDF membranes; block with 5% low-fat milk in TTBS

  • For IHC: Begin with 2.5 μg/mL concentration; include antigen retrieval steps; validate with known EGFR-positive controls like epidermis or placenta tissues

  • For IP: Pre-clear lysates to reduce background; perform multiple washes with lysis buffer to remove non-specifically bound proteins

How can I design robust controls for EGFR (Ab-678) Antibody experiments?

Designing robust controls for EGFR antibody experiments requires a multi-layered approach:

  • Positive Controls: Include cell lines with well-characterized EGFR expression:

    • A431 cells (human epidermoid carcinoma line) overexpress EGFR and serve as the gold standard positive control

    • HUVEC cells express moderate EGFR levels and have been validated specifically with EGFR (Ab-678) Antibody

    • Normal human epidermis (keratinocytes) and placenta tissue express significant EGFR levels and can serve as tissue-based positive controls

  • Negative Controls:

    • Antibody validation: Omit primary antibody to assess secondary antibody background

    • Signal specificity: Pre-incubate antibody with immunizing peptide (aa 676-680) to block specific binding

    • Biological validation: Include EGFR-knockdown samples (siRNA/shRNA-treated) or EGFR-negative cell lines

  • Technical Controls:

    • Loading controls: Include housekeeping proteins like GAPDH, β-actin, or α-tubulin for normalization

    • Transfer efficiency: Use Ponceau S staining to confirm efficient transfer of high molecular weight proteins

    • Molecular weight verification: Confirm band appears at expected size (175 kDa for full-length EGFR)

  • Treatment Controls:

    • Include EGF-stimulated samples to increase EGFR activation (detected with phospho-specific antibodies)

    • Include tyrosine kinase inhibitor (TKI) treated samples to decrease EGFR phosphorylation

    • Compare wild-type vs. mutant EGFR-expressing samples when studying activation mechanisms

These comprehensive controls enable confident interpretation of results and troubleshooting of potential issues in experimental design.

How do molecular dynamics (MD) simulations complement antibody-based detection of EGFR structure and function?

Molecular dynamics (MD) simulations provide complementary insights to antibody-based approaches for understanding EGFR structure-function relationships:

  • Temporal resolution advantages: While antibodies like EGFR (Ab-678) capture static snapshots of protein states, MD simulations reveal dynamic transitions between conformations. Modern MD simulations can capture microsecond-scale events relevant to EGFR conformational changes and activation mechanisms .

  • Structural insight integration:

    • X-ray crystallography and antibody epitope mapping provide static structural information

    • MD simulations add dynamics to these structures, revealing transient states and energy barriers

    • Combined approaches offer superior understanding of EGFR's allosteric mechanisms

  • Specific research applications:

    • Receptor dimerization dynamics: MD simulations reveal subtle conformational changes during dimerization that antibodies cannot detect

    • Drug binding mechanisms: Simulations can predict how mutations alter drug binding before experimental validation

    • Allosteric communication: MD identifies long-range communication networks within EGFR structure

  • Methodological workflow integration:

    • Initial protein characterization with antibodies like EGFR (Ab-678)

    • Structural determination via X-ray crystallography

    • MD simulation to explore conformational dynamics

    • Experimental validation of simulation predictions using site-specific antibodies

Advanced computational approaches like enhanced-sampling algorithms further extend simulation timescales to hundreds of microseconds, enabling observation of large-scale EGFR conformational changes previously inaccessible to computational methods .

How can I distinguish between total EGFR and phosphorylated EGFR in my experimental system?

Distinguishing between total and phosphorylated EGFR requires strategic experimental design:

  • Antibody selection strategy:

    • Use EGFR (Ab-678) Antibody to detect total EGFR regardless of activation state

    • Employ phospho-specific antibodies targeting key sites (pY1068, pY1173, pS1026, pS1071) to detect activated forms

    • Calculate phosphorylated/total ratios to quantify activation levels across experimental conditions

  • Western blot approaches:

    • Parallel blots: Run identical samples on multiple gels, then probe separate membranes with total and phospho-specific antibodies

    • Stripping and reprobing: After detecting one form, strip the membrane and reprobe for the other (note: may reduce sensitivity)

    • Dual-color detection: Use secondary antibodies with different fluorescent conjugates to simultaneously detect total and phosphorylated EGFR on the same membrane

  • Functional validation experiments:

    • EGF stimulation (1-100 ng/mL, 5-15 minutes): Should increase phosphorylation without changing total EGFR initially

    • Prolonged EGF exposure (>30 minutes): Should decrease total EGFR due to internalization and degradation

    • TKI treatment (e.g., gefitinib): Should reduce phosphorylation without immediate effects on total EGFR levels

  • Subcellular localization analysis:

    • Use immunofluorescence with total EGFR and phospho-specific antibodies to track receptor trafficking

    • Membrane fractionation followed by Western blotting to quantify receptor redistribution upon activation

    • Phosphorylated EGFR should show progressive internalization following stimulation

These approaches provide complementary information about EGFR dynamics, enabling robust interpretation of receptor activity in response to experimental manipulations.

What strategies can minimize cross-reactivity concerns when using EGFR antibodies in multi-protein analyses?

When conducting multi-protein analyses with EGFR (Ab-678) Antibody, several strategies can minimize cross-reactivity issues:

  • ErbB family discrimination:

    • EGFR (ErbB1) shares structural homology with other ErbB family members (HER2/ErbB2, HER3/ErbB3, HER4/ErbB4)

    • Validate antibody specificity using cells expressing individual ErbB members

    • For multiplexing experiments, select antibodies targeting non-conserved epitopes across the ErbB family

  • EGFR variant detection:

    • When studying cancers with potential EGFR mutations, confirm whether the Ab-678 epitope (aa 676-680) is preserved in variants of interest

    • EGFRvIII (common in glioblastoma) would be detected at ~140 kDa versus 175 kDa for wild-type

    • Use variant-specific antibodies alongside Ab-678 to distinguish specific mutations

  • Technical cross-reactivity reduction:

    • Pre-adsorb antibody with common cross-reactive proteins if specific background is observed

    • Include peptide competition controls using the immunizing peptide sequence

    • Increase washing stringency (0.1-0.3% Tween-20) to reduce non-specific binding

  • Comprehensive validation approach:

    • Orthogonal validation: Compare antibody results with mass spectrometry identification of immunoprecipitated proteins

    • Genetic validation: Use CRISPR knockout or siRNA knockdown samples to confirm signal specificity

    • Parallel validation: Test multiple antibodies targeting different EGFR epitopes

  • Species-specific considerations:

    • For cross-species studies, validate antibody performance in each species independently

    • Note potential affinity differences between human, mouse, and rat samples

    • For immunoprecipitation followed by blotting, consider using species-specific secondary antibodies to minimize cross-reactivity

These methodological precautions ensure specific detection in complex experimental systems studying multiple proteins or EGFR variants.

How does EGFR mutation status affect antibody selection for cancer tissue analysis?

EGFR mutation status significantly impacts antibody selection strategy for cancer tissue analysis:

  • Common EGFR mutations in cancer:

    • NSCLC: Exon 19 deletions, L858R point mutation (exon 21), T790M resistance mutation (exon 20)

    • Glioblastoma: EGFRvIII (deletion of exons 2-7)

    • Geographical variation: Higher frequency of activating mutations in Asian populations compared to European/Australian cohorts

  • Antibody selection considerations:

    • Total EGFR detection: EGFR (Ab-678) Antibody targets aa 676-680, which is preserved in most clinically relevant mutations, making it suitable for detecting total EGFR regardless of mutation status

    • Mutation-specific detection: For specific mutations, use mutation-selective antibodies (e.g., anti-EGFRvIII, anti-L858R) alongside total EGFR antibodies

    • Size verification: EGFRvIII would appear at ~140 kDa vs. 175 kDa for wild-type EGFR in Western blots

  • Research application strategy:

    • Discovery phase: Use antibodies like EGFR (Ab-678) to assess total EGFR expression levels

    • Mutation characterization: Employ mutation-specific antibodies or molecular techniques (PCR, sequencing)

    • Activation assessment: Combine with phospho-specific antibodies to determine if mutations lead to constitutive activation

  • Methodological adaptations for mutant EGFR:

    • Optimize protein extraction protocols for membrane proteins to ensure complete solubilization

    • Include mutation-specific positive controls with known EGFR status

    • Consider tumor heterogeneity by analyzing multiple regions when possible

This strategic approach enables comprehensive characterization of EGFR status, distinguishing between expression levels, mutation status, and activation state in cancer research applications.

How can EGFR (Ab-678) Antibody be used in therapeutic response prediction studies?

EGFR (Ab-678) Antibody can be strategically employed in therapeutic response prediction studies through several methodological approaches:

  • Baseline EGFR expression assessment:

    • Quantify pre-treatment EGFR levels in patient-derived xenografts or clinical samples

    • Correlate total EGFR expression with response to anti-EGFR therapies

    • Establish expression thresholds that predict therapeutic sensitivity or resistance

  • EGFR imaging agent validation:

    • Support development of imaging agents like ABT-806i (¹¹¹In-labeled anti-EGFR antibody)

    • Compare immunohistochemistry results using EGFR (Ab-678) with radiolabeled antibody uptake

    • Validate target engagement in real-time compared to conventional archived tissue analysis

  • Receptor occupancy studies:

    • Assess whether repeated doses of therapeutic antibodies affect subsequent binding of diagnostic antibodies

    • Monitor dynamic changes in accessible EGFR epitopes during treatment

    • Study shows stable EGFR expression in tumors after interval treatment with therapeutic antibodies

  • Combining with predictive biomarkers:

    • For colorectal cancer: Integrate EGFR protein detection with RAS/BRAF mutation testing

    • For lung cancer: Combine with EGFR mutation analysis to stratify potential responders

    • For triple-negative breast cancer: Correlate with EGFR ligand expression (AREG/EREG) which has shown prognostic value

  • Resistance mechanism investigation:

    • Monitor changes in total EGFR levels during acquired resistance development

    • Detect emergence of splice variants or mutations during treatment

    • Identify receptor trafficking alterations using subcellular fractionation followed by Western blotting

These approaches enable researchers to assess whether total EGFR levels alone or in combination with other biomarkers can effectively predict therapeutic responses to EGFR-targeted therapies.

What methodological approaches are optimal for studying EGFR-targeted antibody-mediated immune responses?

Studying EGFR-targeted antibody-mediated immune responses requires specialized methodological approaches:

  • EGFR expression characterization:

    • Quantify surface EGFR levels using EGFR (Ab-678) Antibody in flow cytometry or immunohistochemistry

    • Assess heterogeneity of expression within tumor samples using immunofluorescence microscopy

    • Establish baseline expression in potential immune effector cells to avoid off-target effects

  • Antibody-dependent cellular cytotoxicity (ADCC) assessment:

    • In vitro assays: Co-culture EGFR-expressing target cells with NK cells or macrophages in the presence of therapeutic antibodies

    • Flow cytometry analysis: Measure target cell death using annexin V/propidium iodide staining

    • Controls: Include EGFR (Ab-678) Antibody as a non-therapeutic control to distinguish immune from direct effects

  • Complement-dependent cytotoxicity (CDC) evaluation:

    • Expose EGFR-expressing cells to therapeutic antibodies in the presence of complement

    • Measure cell lysis through release of intracellular enzymes (LDH assay) or membrane integrity dyes

    • Use EGFR expression levels determined by EGFR (Ab-678) Antibody to normalize results across cell lines

  • Fc receptor engagement studies:

    • Use flow cytometry to measure binding of antibody-opsonized tumor cells to immune cells

    • Assess Fc receptor polymorphisms in relation to therapeutic efficacy

    • Develop bispecific antibodies targeting both EGFR and immune cell receptors

  • In vivo immune response monitoring:

    • Characterize tumor-infiltrating lymphocytes before and after anti-EGFR therapy

    • Monitor changes in immune checkpoint molecule expression on EGFR-expressing cells

    • Assess changes in EGFR availability using immunohistochemistry with EGFR (Ab-678) Antibody following therapeutic antibody administration

These methodological approaches enable comprehensive investigation of how anti-EGFR therapeutic antibodies mediate immune responses beyond direct receptor signaling inhibition.

How do EGFR expression patterns differ across cancer types and how should detection methods be adapted?

EGFR expression patterns vary significantly across cancer types, requiring methodological adaptations for optimal detection:

  • Cancer-specific expression patterns:

    • Non-small cell lung cancer (NSCLC): Higher EGFR expression in squamous vs. non-squamous subtypes, with greater therapeutic benefit from anti-EGFR mAb plus chemotherapy in squamous NSCLC

    • Triple-negative breast cancer (TNBC): EGFR overexpression in 13-76% of cases, with geographic variations in mutation frequency

    • Colorectal cancer (CRC): EGFR expression alone is not a strong predictor of anti-EGFR therapy response; EGFR ligand expression has greater prognostic value

    • Head and neck cancer: High EGFR expression correlates with treatment response; patients with highest ABT-806i uptake showed better clinical outcomes

  • Methodological adaptations for different cancer types:

    a. NSCLC detection optimization:

    • Use membranous staining intensity for accurate quantification

    • Distinguish between wild-type and mutant EGFR using mutation-specific antibodies

    • Include positive controls with known mutation status

    b. TNBC analysis approach:

    • Combine protein detection (WB/IHC) with mRNA analysis (qPCR)

    • Screen for rare activating mutations considering geographic variations

    • Assess EGFR in context of other growth factor receptors

    c. CRC evaluation strategy:

    • Integrate EGFR protein detection with RAS/BRAF mutation testing

    • Assess EGFR ligand expression (AREG/EREG) alongside receptor levels

    • Use artificial intelligence-assisted IHC for standardized quantification

    d. Head and neck cancer assessment:

    • Quantify membrane-localized EGFR using subcellular fractionation

    • Consider EGFR as part of a broader receptor tyrosine kinase profile

    • Correlate with HPV status for prognostic interpretation

  • Technical considerations across cancer types:

    • Standardize tissue processing and fixation protocols for consistent epitope preservation

    • Account for tumor heterogeneity by analyzing multiple regions

    • Consider circulating tumor cells as an alternative to tissue biopsies for longitudinal monitoring

These tailored approaches optimize EGFR detection across diverse cancer types while accounting for their unique biological and technical challenges.

What are the optimal protocols for using EGFR (Ab-678) Antibody in immunoprecipitation studies?

Optimized immunoprecipitation (IP) protocols for EGFR (Ab-678) Antibody require careful attention to several technical parameters:

  • Reagent preparation and quantities:

    • Antibody amount: Use approximately 10 μL of EGFR (Ab-678) Antibody per IP reaction

    • Beads: Combine with 25 μL of Protein A-agarose beads (Protein A is optimal for rabbit IgG)

    • Lysate: Use 1.0 mL of lysate containing approximately 1.0 mg of total protein

  • Detailed IP protocol:

    a. Cell lysis and pre-clearing:

    • Lyse cells in NP-40 buffer (50 mM Tris-HCl pH 7.4, 150 mM NaCl, 1% NP-40) with protease inhibitors

    • Pre-clear lysate with 25 μL Protein A-agarose alone for 1 hour at 4°C to reduce non-specific binding

    • Centrifuge at 14,000 × g for 10 minutes and transfer supernatant to new tube

    b. Antibody binding and precipitation:

    • Add EGFR (Ab-678) Antibody to pre-cleared lysate

    • Incubate with gentle rotation for 1-2 hours at 4°C

    • Add 25 μL Protein A-agarose beads and continue rotation overnight at 4°C

    c. Washing and elution:

    • Centrifuge at 1,000 × g for 5 minutes at 4°C

    • Wash immune complexes 3 times with lysis buffer (1 mL per wash)

    • Resuspend beads in 20-30 μL of 3X SDS-PAGE sample buffer

    • Heat at 95°C for 5 minutes to elute proteins

  • Analysis of immunoprecipitated products:

    • Load approximately 15 μL of eluted sample per lane on an 8% polyacrylamide gel

    • Include input control (5% of pre-IP lysate) and IgG control (non-specific rabbit IgG)

    • Proceed with Western blotting using either the same antibody or another EGFR antibody targeting a different epitope

  • Co-immunoprecipitation considerations:

    • For studying EGFR-interacting proteins, use gentler lysis conditions to preserve protein-protein interactions

    • When probing for interaction partners, use antibodies validated for Western blotting

    • Consider crosslinking approaches for transient interactions

These optimized protocols enable efficient isolation of EGFR and its complexes for downstream analysis of receptor interactions, modifications, and dynamics.

How can EGFR (Ab-678) Antibody support research on EGFR trafficking and internalization?

EGFR (Ab-678) Antibody can be strategically employed to investigate EGFR trafficking and internalization through several specialized methodological approaches:

  • Subcellular fractionation studies:

    • Separate membrane, cytoplasmic, and nuclear fractions using differential centrifugation

    • Quantify EGFR distribution across fractions using Western blotting with EGFR (Ab-678) Antibody

    • Monitor changes in distribution following ligand stimulation or drug treatment

    • Validate fraction purity using compartment-specific markers (Na⁺/K⁺ ATPase for membrane, GAPDH for cytosol)

  • Immunofluorescence microscopy protocols:

    • Fix cells at different time points after EGF stimulation (0, 5, 15, 30, 60 minutes)

    • Stain with EGFR (Ab-678) Antibody followed by fluorophore-conjugated secondary antibody

    • Co-stain with markers for early endosomes (EEA1), late endosomes (Rab7), or lysosomes (LAMP1)

    • Analyze colocalization to track receptor progression through endocytic compartments

  • Surface biotinylation assays:

    • Label cell surface proteins with non-permeable biotin reagents

    • Stimulate with EGF for various time points

    • Isolate biotinylated (originally surface) proteins with streptavidin beads

    • Quantify internalized EGFR by Western blotting with EGFR (Ab-678) Antibody

  • Pulse-chase analysis:

    • Metabolically label cells with ³⁵S-methionine/cysteine

    • Chase with unlabeled media +/- EGF stimulation

    • Immunoprecipitate EGFR at various time points using EGFR (Ab-678) Antibody

    • Autoradiography analysis reveals receptor synthesis, maturation, and degradation rates

  • Live-cell imaging approaches:

    • Complement fixed-cell analysis with techniques like FRET (Fluorescence Resonance Energy Transfer)

    • FRET microscopy provides sub-nm measurements of receptor proximity when donor molecules transfer energy to nearby acceptors upon photon absorption

    • This enables precise tracking of receptor dimerization and clustering during internalization

These methodological approaches provide complementary data on EGFR trafficking dynamics in response to ligands, inhibitors, or genetic manipulations, enhancing understanding of receptor regulation in normal and pathological conditions.

What troubleshooting strategies are effective when EGFR detection yields unexpected results?

When EGFR detection with EGFR (Ab-678) Antibody produces unexpected results, systematic troubleshooting strategies should be implemented:

  • No signal or weak signal issues:

    a. Sample preparation problems:

    • Ensure complete protein solubilization (EGFR is membrane-bound requiring detergent extraction)

    • Verify protein concentration using reliable methods (BCA/Bradford assay)

    • Check for protein degradation with Ponceau S staining of membrane

    b. Technical optimizations:

    • Decrease antibody dilution (try 1:500 instead of 1:1000)

    • Extend primary antibody incubation (overnight at 4°C)

    • Use more sensitive detection system (enhanced ECL)

    c. Biological considerations:

    • Confirm EGFR expression in your sample type (use A431 cells as positive control)

    • Check for EGFR downregulation by experimental treatments

    • Assess epitope accessibility (try alternative epitope antibodies)

  • Multiple bands or unexpected molecular weight:

    a. EGFR variants identification:

    • 175 kDa: full-length EGFR

    • ~150-160 kDa: partially glycosylated forms

    • ~140 kDa: potential EGFRvIII or other variant

    • ~110 kDa: proteolytic fragment or alternative splice variant

    b. Technical investigative steps:

    • Test different sample preparation methods to minimize proteolysis

    • Perform peptide competition to identify specific versus non-specific bands

    • Compare with alternative EGFR antibodies targeting different epitopes

    c. Advanced validation:

    • Use mass spectrometry to identify unexpected bands

    • Perform siRNA knockdown to confirm specificity

    • Consider phosphorylation or other post-translational modifications

  • High background or non-specific binding:

    a. Blocking improvements:

    • Change blocking agent (5% BSA instead of milk)

    • Extend blocking time (2 hours at room temperature)

    • Add 0.1% Tween-20 to antibody dilution buffer

    b. Washing optimization:

    • Increase washing stringency (0.1-0.3% Tween-20)

    • Extend wash durations (6 washes × 10 minutes each)

    • Use gentle agitation during washes

    c. Antibody handling:

    • Prepare fresh dilutions before each experiment

    • Pre-adsorb antibody against common cross-reactive proteins

    • Filter antibody dilution to remove aggregates

  • Inconsistent results between experiments:

    a. Standardization approaches:

    • Develop detailed SOPs for sample preparation

    • Use consistent positive controls across experiments

    • Maintain antibody aliquots to avoid freeze-thaw cycles

    b. Quantification methods:

    • Use internal loading controls for normalization

    • Apply digital image analysis for objective quantification

    • Include calibration standards in each experiment

These systematic troubleshooting strategies address the most common technical challenges in EGFR detection, enabling researchers to generate consistent and interpretable results.

How can EGFR (Ab-678) Antibody support multiplexed detection systems for pathway analysis?

EGFR (Ab-678) Antibody can be effectively integrated into multiplexed detection systems for comprehensive pathway analysis through several methodological approaches:

  • Multi-color Western blotting strategies:

    • Use EGFR (Ab-678) Antibody with fluorescently-labeled secondary antibodies

    • Combine with antibodies against downstream effectors (ERK, AKT, STAT3) using different fluorophores

    • Include phospho-specific antibodies with distinct fluorescent channels

    • Image using multi-channel fluorescence scanners for simultaneous detection

    • Quantify signal ratios to assess pathway activation states

  • Reverse phase protein arrays (RPPA):

    • Spot multiple cell/tissue lysates on nitrocellulose-coated slides

    • Probe parallel arrays with EGFR (Ab-678) and antibodies against other pathway components

    • Use fluorescently-labeled secondary antibodies for detection

    • Analyze using automated image analysis software

    • Enables high-throughput analysis of hundreds of samples simultaneously

  • Multiplex immunohistochemistry/immunofluorescence:

    • Apply sequential staining with EGFR (Ab-678) Antibody and other targets

    • Use tyramide signal amplification to allow multiple rounds of staining

    • Employ multispectral imaging systems to separate fluorophore signals

    • Perform digital pathology analysis for cell-by-cell quantification

    • Provides spatial context to pathway activation in tissue specimens

  • Bead-based multiplex assays:

    • Couple EGFR (Ab-678) Antibody to spectrally distinct beads

    • Capture EGFR from lysates using antibody-conjugated beads

    • Detect with fluorescently-labeled detection antibodies

    • Analyze multiple analytes simultaneously using flow cytometry

    • Enables quantitative assessment of multiple RTK family members

  • Single-cell analysis integration:

    • Combine with CyTOF (mass cytometry) using metal-tagged antibodies

    • Integrate with single-cell RNA sequencing data for multi-modal analysis

    • Correlate protein levels with transcriptomic profiles

    • Reveals cellular heterogeneity in EGFR pathway activation

    • Particularly valuable for tumor heterogeneity assessment

  • Proximity ligation assays (PLA):

    • Use EGFR (Ab-678) Antibody with antibodies against interaction partners

    • Secondary antibodies with attached DNA oligonucleotides generate signal when targets are in close proximity

    • Allows visualization of protein-protein interactions in situ

    • Can detect EGFR dimerization, complex formation with downstream effectors

    • Provides spatial resolution of signaling events within cells

These multiplexed approaches enable comprehensive analysis of EGFR signaling networks, providing insights into pathway cross-talk, feedback mechanisms, and heterogeneity in response to therapeutic interventions.

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