Phospho-Tyrosine抗体;Phospho-Tyrosine Antibody—艾普蒂 新品

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     Western blot analysis of Phospho-Tyrosine (6G6)in Jurkat, 293T, rat Brain, mouse Brain lysates using Phospho-tyrosine antibody.    

  
  

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     Immunohistochemistry analysis of paraffin-embedded Human Breast Caricnoma using Phospho-tyrosine antibody.High-pressure and temperature Sodium Citrate pH 6.0 was used for antigen retrieval.    

  
  

Phospho-tyrosine (pTyr) antibodies are essential tools in molecular and cellular biology for studying protein tyrosine phosphorylation, a critical post-translational modification regulating signal transduction pathways. Tyrosine phosphorylation, mediated by kinases and reversed by phosphatases, controls diverse cellular processes such as proliferation, differentiation, and apoptosis. Dysregulation of this process is implicated in cancers, immune disorders, and neurodegenerative diseases.

The development of pTyr antibodies in the 1980s revolutionized research by enabling specific detection of phosphorylated tyrosine residues. These antibodies are typically generated by immunizing animals with phosphorylated tyrosine-containing peptides or proteins, followed by hybridoma (monoclonal) or serum-based (polyclonal) production. Monoclonal antibodies (e.g., clone 4G10. PY20) are widely used due to their high specificity.

pTyr antibodies are employed in techniques like Western blotting, immunoprecipitation, and immunofluorescence to map phosphorylation events, identify signaling intermediates, and assess kinase/phosphatase activity. They have been pivotal in characterizing oncogenic tyrosine kinases (e.g., EGFR, BCR-ABL) and validating therapeutic targets. However, challenges remain, including cross-reactivity with non-target phospho-epitopes and variability due to phosphorylation dynamics.

Their applications extend to drug discovery, biomarker validation, and diagnostics, particularly in cancer (e.g., HER2/neu testing). Ongoing advancements in antibody engineering and phosphoproteomics continue to enhance their specificity and utility in decoding complex signaling networks.