Integrin αV Antibody

About the Target

Integrins are a large family of receptors for the extracellular matrix (ECM), consisting of 8 beta and 18 alpha subunits. They play a crucial role in cell adhesion and control cell proliferation, motility, and differentiation. Integrin subunit alpha V (ITGAV) is a member of the integrin alpha chain family and can associate with up to 5 beta subunits to form αvβ1, αvβ3, αvβ5, αvβ6, and αvβ8 integrin receptors. Depending on the literature source, ITGAV may also be discussed as Integrin alphaV.

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

Research Context

ITGAV is commonly interpreted in the context of cancer and developmental biology research, and readouts are often stronger when a study separates expression changes from compartment-level redistribution. When reported signal spans cell membrane and cell junction, 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 membrane and cell junction across matched conditions
• changes associated with proliferative state, oncogenic signaling, or treatment response
• stage-dependent patterns during differentiation, morphogenesis, or lineage commitment
• 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 ITGAV. 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 ITGAV reflect biology rather than handling. When interpreting ITGAV, 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 ITGAV 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.