STAT4 Antibody

About the Target

Signal transducer and activator of transcription 4 (STAT4) is a cytoplasmic member of the STAT family, pivotal in the JAK-STAT signaling pathway. Activated by cytokines such as IL-12, IFN-I, and IL-23, STAT4 undergoes phosphorylation, dimerization, and nuclear translocation to regulate gene expression. Structurally, STAT4 comprises six domains: the N-terminal domain (dimerization and nuclear translocation), coiled-coil domain (regulatory factor binding), DNA-binding domain, linker domain, SH2 domain (receptor interaction), and C-terminal transactivation domain (transcription activation).

Reported cellular context includes cytoplasm and nucleus, which can matter when signal is compared across treatments or changing cell states. Following STAT4 across matched perturbations can help separate abundance effects from shifts in localization, complex assembly, or pathway state.

Research Context

STAT4 is commonly interpreted in the context of immunology, inflammation, and cell signaling research, and readouts are often stronger when a study separates expression changes from compartment-level redistribution. When reported signal spans cytoplasm and nucleus, 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 cytoplasm and nucleus across matched conditions
• context differences tied to immune-cell state, activation, or lineage composition
• responses associated with cytokine exposure, inflammatory tone, or tissue stress
• signal-dependent shifts after ligand, inhibitor, or growth-factor perturbation

Variant Considerations

If your project spans exploratory questions, the regular version offers a balanced option for establishing baseline signal behavior for STAT4. 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 STAT4 reflect biology rather than handling. When interpreting STAT4, 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 STAT4 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.