{"product_id":"itgb3-antibody-sc-f0437","title":"Integrin β3 Antibody","description":"\u003ch2\u003eAbout the Target\u003c\/h2\u003e\u003cp\u003eITGB3 is a target of interest in many antibody-based workflows. Integrins are transmembrane receptors that play essential roles in cell adhesion, signaling, and communication with the extracellular matrix (ECM). Composed of two non-covalently associated subunits, an alpha (α) and a beta (β), integrins form heterodimers that facilitate interactions between cells and their environment. Among them, integrin α3, also known as VLA-3, pairs with the β1 subunit (α3β1) to mediate cell adhesion to ECM proteins like laminin and fibronectin. Depending on the literature source, ITGB3 may also be discussed as Integrin beta3 and CD61.\u003c\/p\u003e\u003cp\u003eReported cellular context includes cell junction, cell membrane, cell projection, and membrane, which can matter when signal is compared across treatments or changing cell states. Following ITGB3 across matched perturbations can help separate abundance effects from shifts in localization, complex assembly, or pathway state.\u003c\/p\u003e\u003ch2\u003eResearch Context\u003c\/h2\u003e\u003cp\u003eITGB3 is commonly interpreted in the context of cancer, immunology, 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, cell membrane, and cell projection, a defined reference condition can make comparisons more interpretable across perturbations, passages, or replicate sets.\u003c\/p\u003e\u003cp\u003eConsider these angles when interpreting target-level changes:\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eapparent redistribution between cell junction, cell membrane, and cell projection across matched conditions\u003c\/li\u003e\n\u003cli\u003echanges associated with proliferative state, oncogenic signaling, or treatment response\u003c\/li\u003e\n\u003cli\u003econtext differences tied to immune-cell state, activation, or lineage composition\u003c\/li\u003e\n\u003cli\u003esignal-dependent shifts after ligand, inhibitor, or growth-factor perturbation\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eVariant Considerations\u003c\/h2\u003e\u003cp\u003eIf your project spans exploratory questions, the regular version offers a balanced option for establishing baseline signal behavior for ITGB3. This can help when protocols evolve over time and the goal is to compare experiments using a stable reference workflow.\u003c\/p\u003e\u003cp\u003eStandardize sampling time, control choice, and downstream analysis thresholds so apparent differences in ITGB3 reflect biology rather than handling. When interpreting ITGB3, it is often useful to decide early whether the main question is overall abundance, compartmental enrichment, or context-dependent redistribution.\u003c\/p\u003e\u003cp\u003eFor multi-run studies, a shared reference condition can keep ITGB3 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.\u003c\/p\u003e","brand":"Selleck Chemicals","offers":[{"title":"20 µl","offer_id":57577459941721,"sku":"F0437-20UL","price":199.0,"currency_code":"EUR","in_stock":true},{"title":"100 µl","offer_id":57577459974489,"sku":"F0437-100UL","price":439.0,"currency_code":"EUR","in_stock":true},{"title":"2 × 100 µl","offer_id":57577460007257,"sku":"F0437-2X100UL","price":659.0,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0923\/1011\/0553\/files\/F0437-IHC1.jpg?v=1773598464","url":"https:\/\/absource-diagnostics.myshopify.com\/products\/itgb3-antibody-sc-f0437","provider":"Absource Diagnostics","version":"1.0","type":"link"}