Phospho-STAT3 (Tyr705) (L7D9) Antibody

About the Target

Phospho-STAT3 (Tyr705) refers to the activated form of the Signal Transducer and Activator of Transcription 3 (STAT3) protein, phosphorylated at the tyrosine 705 (Tyr705) residue. STAT3 is a cytoplasmic transcription factor composed of several domains, including an N-terminal domain, coiled-coil domain, DNA-binding domain, SH2 domain, and a C-terminal transactivation domain where Tyr705 is located. Depending on the literature source, STAT3 may also be discussed as Phospho-STAT3 (Tyr705) and APRF.

Reported cellular context includes nucleus and cytoplasm, which can matter when signal is compared across treatments or changing cell states. Following STAT3 across matched perturbations can help separate abundance effects from shifts in localization, complex assembly, or pathway state.

Research Context

STAT3 is commonly interpreted in the context of inflammation and cell signaling research, and readouts are often stronger when a study separates expression changes from compartment-level redistribution. When reported signal spans nucleus 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 nucleus and cytoplasm across matched conditions
• responses associated with cytokine exposure, inflammatory tone, or tissue stress
• 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 STAT3. 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 STAT3 reflect biology rather than handling. When interpreting STAT3, 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 STAT3 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.