{"product_id":"gria1-antibody-sc-f4092","title":"Phospho-AMPA Receptor 1 (GluA1) (Ser831) Antibody","description":"\u003ch2\u003eAbout the Target\u003c\/h2\u003e\u003cp\u003eGRIA1 is a target of interest in many antibody-based workflows. Ionotropic glutamate receptors are categorized into three major families: AMPA (α-amino-3-hydroxy-5-methyl-4-isoxazolepropionic acid), kainate, and NMDA (N-methyl-D-aspartate) receptors. Among these, AMPA receptors (AMPARs), composed of four subunits (GluA1-4) arranged as homo- or hetero-tetramers, mediate the bulk of fast excitatory neurotransmission in the central nervous system. AMPARs play essential roles in synapse development, stabilization, and synaptic plasticity. Depending on the literature source, GRIA1 may also be discussed as Phospho-AMPA Receptor 1 (GluA1) (Ser831) and Glutamate receptor 1.\u003c\/p\u003e\u003cp\u003eReported cellular context includes p42261, which can matter when signal is compared across treatments or changing cell states. Following GRIA1 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\u003eGRIA1 is commonly interpreted in the context of neuroscience and developmental biology research, and readouts are often stronger when a study separates expression changes from compartment-level redistribution. When reported signal spans p42261, 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\u003esignal enrichment within p42261 relative to the broader cellular background\u003c\/li\u003e\n\u003cli\u003ecompartment-specific patterns relevant to neuronal polarity, transport, or synaptic context\u003c\/li\u003e\n\u003cli\u003estage-dependent patterns during differentiation, morphogenesis, or lineage commitment\u003c\/li\u003e\n\u003cli\u003edifferences between total target abundance and site-specific regulation when modified forms are compared\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 GRIA1. 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 GRIA1 reflect biology rather than handling. When interpreting GRIA1, 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 GRIA1 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":57578057859417,"sku":"F4092-20UL","price":169.0,"currency_code":"EUR","in_stock":true},{"title":"100 µl","offer_id":57578057892185,"sku":"F4092-100UL","price":389.0,"currency_code":"EUR","in_stock":true},{"title":"2 × 100 µl","offer_id":57578057924953,"sku":"F4092-2X100UL","price":589.0,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0923\/1011\/0553\/files\/F4092-wb.gif?v=1773601648","url":"https:\/\/absource.de\/products\/gria1-antibody-sc-f4092","provider":"Absource Diagnostics","version":"1.0","type":"link"}