α Actinin 4 Antibody

About the Target

Alpha-actinin 4 (ACTN4) is an actin-binding protein that belongs to the spectrin superfamily. It plays a crucial role in actin cytoskeleton remodelling and the formation of protrusions that enhance the migration of normal and cancer cells. It acts as a co-activator and positive regulator for RelA/p65 and as a transcription activator for ERα, RAR, myocyte enhancer factor (MEF), vitamin D receptor (VDR), androgen receptor (AR), and NF-κB transcription factors. Depending on the literature source, ACTN4 may also be discussed as alpha Actinin 4.

Reported cellular context includes cell junction, cytoplasm, cytoskeleton, and nucleus, which can matter when signal is compared across treatments or changing cell states. Following ACTN4 across matched perturbations can help separate abundance effects from shifts in localization, complex assembly, or pathway state.

Research Context

ACTN4 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 cell junction, cytoplasm, and cytoskeleton, 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, cytoplasm, and cytoskeleton across matched conditions
• 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 ACTN4. 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 ACTN4 reflect biology rather than handling. When interpreting ACTN4, 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 ACTN4 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.