Prostaglandin E Receptor EP2/PTGER2 Antibody

About the Target

Prostaglandin E Receptor EP2/PTGER2, encoded by the PTGER2 gene, is a G protein-coupled receptor (GPCR) that mediates cellular responses to prostaglandin E2 (PGE2). It consists of 358 amino acids with seven transmembrane helices, linked by intracellular and extracellular loops, and primarily couples to Gsα proteins, activating adenylate cyclase to increase intracellular cAMP levels. Depending on the literature source, PTGER2 may also be discussed as Prostaglandin E Receptor EP2/PTGER2.

Reported cellular context includes cell membrane and membrane, which can matter when signal is compared across treatments or changing cell states. Following PTGER2 across matched perturbations can help separate abundance effects from shifts in localization, complex assembly, or pathway state.

Research Context

PTGER2 is commonly interpreted in the context of cancer, neuroscience, and inflammation research, and readouts are often stronger when a study separates expression changes from compartment-level redistribution. When reported signal spans cell membrane and membrane, 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 cell membrane and membrane across matched conditions
• changes associated with proliferative state, oncogenic signaling, or treatment response
• compartment-specific patterns relevant to neuronal polarity, transport, or synaptic context
• responses associated with cytokine exposure, inflammatory tone, or tissue stress

Variant Considerations

If your project spans exploratory questions, the regular version offers a balanced option for establishing baseline signal behavior for PTGER2. 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 PTGER2 reflect biology rather than handling. When interpreting PTGER2, 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 PTGER2 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.