{"product_id":"gpi-antibody-sc-f2970","title":"AMF Antibody","description":"\u003ch2\u003eAbout the Target\u003c\/h2\u003e\u003cp\u003eGPI is a target of interest in many antibody-based workflows. AMF (Autocrine motility factor), also known as phosphohexose isomerase (PHI), neuroleukin (NLK), and maturation factor (MF), is a cytokine secreted by tumor cells that promotes tumor migration, invasion, angiogenesis, and chemotherapy resistance. AMF binds to its receptor, AMFR (gp78), a glycoprotein associated with metastatic potential and ubiquitin ligase activity. Depending on the literature source, GPI may also be discussed as AMF.\u003c\/p\u003e\u003cp\u003eReported cellular context includes cytoplasm and secreted, which can matter when signal is compared across treatments or changing cell states. Following GPI 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\u003eGPI is commonly interpreted in the context of cancer and metabolism research, and readouts are often stronger when a study separates expression changes from compartment-level redistribution. When reported signal spans cytoplasm and secreted, 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 cytoplasm and secreted across matched conditions\u003c\/li\u003e\n\u003cli\u003echanges associated with proliferative state, oncogenic signaling, or treatment response\u003c\/li\u003e\n\u003cli\u003eresponses linked to nutrient status, mitochondrial state, or metabolic rewiring\u003c\/li\u003e\n\u003cli\u003eco-patterning with orthogonal markers and control conditions that clarify pathway state\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 GPI. 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 GPI reflect biology rather than handling. When interpreting GPI, 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 GPI 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":57577988751705,"sku":"F2970-20UL","price":169.0,"currency_code":"EUR","in_stock":true},{"title":"100 µl","offer_id":57577988784473,"sku":"F2970-100UL","price":399.0,"currency_code":"EUR","in_stock":true},{"title":"2 × 100 µl","offer_id":57577988817241,"sku":"F2970-2X100UL","price":599.0,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0923\/1011\/0553\/files\/F2970-IF.png?v=1773600851","url":"https:\/\/absource-diagnostics.myshopify.com\/products\/gpi-antibody-sc-f2970","provider":"Absource Diagnostics","version":"1.0","type":"link"}