PEA3 Antibody

About the Target

The E26 transformation-specific (ETS) family represents one of the largest groups of signal-responsive transcription factors, encompassing 28 protein-coding genes in the human genome. Within this family, the PEA3 subfamily consists of three members: PEA3/E1AF/ETV4, ER81/ETV1, and ERM/ETV5. Elevated expression of ETV1, ETV4, and ETV5 is frequently observed in a variety of tumors, where it is often linked to aggressive tumor behavior and resistance to therapy. Depending on the literature source, PEA3 may also be discussed as ETS translocation variant 4 and Adenovirus E1A enhancer-binding protein.

Reported cellular context includes nucleus, which can matter when signal is compared across treatments or changing cell states. Following PEA3 across matched perturbations can help separate abundance effects from shifts in localization, complex assembly, or pathway state.

Research Context

PEA3 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 nucleus, a defined reference condition can make comparisons more interpretable across perturbations, passages, or replicate sets.

Consider these angles when interpreting target-level changes:

• signal enrichment within nucleus relative to the broader cellular background
• changes associated with proliferative state, oncogenic signaling, or treatment response
• signal-dependent shifts after ligand, inhibitor, or growth-factor perturbation
• co-patterning with orthogonal markers and control conditions that clarify pathway state

Variant Considerations

If your project spans exploratory questions, the regular version offers a balanced option for establishing baseline signal behavior for PEA3. 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 PEA3 reflect biology rather than handling. When interpreting PEA3, 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 PEA3 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.