Phospho-YAP (Ser397) Antibody

About the Target

Phospho-YAP (Ser397) (pYAP-S397) is a phosphorylated form of the Yes-associated protein (YAP), a key transcriptional coactivator in the Hippo signaling pathway that regulates cell proliferation, stem cell renewal, and tissue growth. Phosphorylation at S397 by the kinases LATS1/2 creates a phospho-degron motif that facilitates recognition by the β-TrCP E3 ubiquitin ligase, leading to proteasomal degradation of YAP, thereby suppressing its transcriptional activity. Depending on the literature source, YAP may also be discussed as Phospho-YAP (Ser397) and Hippo; P-YAP; S347; S381; Ser347; Ser381; YAP S381; Yorkie.

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

Research Context

YAP is commonly interpreted in the context of cancer, stem cell biology, and cell cycle research, and readouts are often stronger when a study separates expression changes from compartment-level redistribution. When reported signal spans cell junction, cell membrane, and cytoplasm, 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 junction, cell membrane, and cytoplasm across matched conditions
• changes associated with proliferative state, oncogenic signaling, or treatment response
• state transitions between self-renewal, priming, and differentiation
• cell-cycle linked differences in abundance, timing, or compartmental enrichment

Variant Considerations

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