{"product_id":"stat1-antibody-sc-f2923","title":"STAT1 α Antibody","description":"\u003ch2\u003eAbout the Target\u003c\/h2\u003e\u003cp\u003eSTAT1 Α is a target of interest in many antibody-based workflows. STAT1α, a 91 kDa isoform of the STAT1 protein, is a key transcription factor mediating cellular responses to type I, II, and III interferons (IFNs). Structurally, it consists of six domains: the N-terminal domain (ND) for dimer interactions, a coiled-coil (CC) domain for regulatory protein binding, a DNA-binding domain (DBD) for target gene recognition, a linker (LK) domain involved in nuclear export and DNA binding, an Src homology 2 (SH2) domain for receptor binding and dimerization, and a C-terminal transactivation domain (TAD) with phosphorylation sites at Y701 and S727 critical for activation.\u003c\/p\u003e\u003cp\u003eReported cellular context includes cytoplasm and nucleus, which can matter when signal is compared across treatments or changing cell states. Following STAT1 Α 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\u003eSTAT1 Α is commonly interpreted in the context of immunology, infectious disease, 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.\u003c\/p\u003e\u003cp\u003eConsider these angles when interpreting target-level changes:\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eapparent redistribution between cytoplasm and nucleus across matched conditions\u003c\/li\u003e\n\u003cli\u003econtext differences tied to immune-cell state, activation, or lineage composition\u003c\/li\u003e\n\u003cli\u003ehost-response changes during infection or pathogen-associated stimulation\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 STAT1 Α. 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 STAT1 Α reflect biology rather than handling. When interpreting STAT1 Α, 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 STAT1 Α 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":57577985638745,"sku":"F2923-20UL","price":199.0,"currency_code":"EUR","in_stock":true},{"title":"100 µl","offer_id":57577985671513,"sku":"F2923-100UL","price":489.0,"currency_code":"EUR","in_stock":true},{"title":"2 × 100 µl","offer_id":57577985704281,"sku":"F2923-2X100UL","price":729.0,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0923\/1011\/0553\/files\/F2923-wb.gif?v=1773600812","url":"https:\/\/absource.de\/products\/stat1-antibody-sc-f2923","provider":"Absource Diagnostics","version":"1.0","type":"link"}