Phospho-Met (Tyr1003) Antibody

About the Target

Phospho-MET (Tyr1003) refers to the hepatocyte growth factor receptor (MET) phosphorylated at tyrosine residue 1003, a key regulatory site within the juxtamembrane domain of the receptor. MET is a class IV receptor tyrosine kinase encoded by the MET gene on chromosome 7q21-31 and is expressed predominantly on the surface of epithelial cells. Depending on the literature source, MET may also be discussed as Phospho-Met (Tyr1003) and c-met.

Reported cellular context includes membrane and secreted, which can matter when signal is compared across treatments or changing cell states. Following MET across matched perturbations can help separate abundance effects from shifts in localization, complex assembly, or pathway state.

Research Context

MET is commonly interpreted in the context of cancer and cell signaling research, and readouts are often stronger when a study separates expression changes from compartment-level redistribution. When reported signal spans membrane and secreted, a defined reference condition can make comparisons more interpretable across perturbations, passages, or replicate sets.

Consider these angles when interpreting target-level changes:

• apparent redistribution between membrane and secreted across matched conditions
• changes associated with proliferative state, oncogenic signaling, or treatment response
• signal-dependent shifts after ligand, inhibitor, or growth-factor perturbation
• differences between total target abundance and site-specific regulation when modified forms are compared

Variant Considerations

If your project spans exploratory questions, the regular version offers a balanced option for establishing baseline signal behavior for MET. This can help when protocols evolve over time and the goal is to compare experiments using a stable reference workflow.

Standardize sampling time, control choice, and downstream analysis thresholds so apparent differences in MET reflect biology rather than handling. When interpreting MET, it is often useful to decide early whether the main question is overall abundance, compartmental enrichment, or context-dependent redistribution.

For multi-run studies, a shared reference condition can keep MET trends easier to compare across datasets. That kind of consistency is especially helpful when follow-up work expands to new perturbations, model systems, or longitudinal collections.