{"product_id":"mct1-slc16a1-antibody-sc-f4583","title":"MCT1\/SLC16A1 Antibody","description":"\u003ch2\u003eAbout the Target\u003c\/h2\u003e\u003cp\u003eMCT1\/SLC16A1 is a target of interest in many antibody-based workflows. MCT1 (monocarboxylate transporter 1), also known as MOT1 and encoded by the SLC16A1 gene, is a multi-pass transmembrane protein that belongs to the monocarboxylate transporter (MCT) family. It was the first identified member of this family and plays a key role in transporting metabolically significant monocarboxylates such as lactate, pyruvate, acetate, and ketone bodies across cellular membranes. Depending on the literature source, MCT1\/SLC16A1 may also be discussed as MCT1\/SLC16A1 and Monocarboxylate transporter 1.\u003c\/p\u003e\u003cp\u003eReported cellular context includes cell membrane and membrane, which can matter when signal is compared across treatments or changing cell states. Following MCT1\/SLC16A1 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\u003eMCT1\/SLC16A1 is commonly interpreted in the context of metabolism research, and readouts are often stronger when a study separates expression changes from compartment-level redistribution. When reported signal spans cell membrane and membrane, 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 membrane and membrane across matched conditions\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\u003cli\u003etime-matched comparisons so changes reflect biology rather than handling or sampling drift\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 MCT1\/SLC16A1. 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 MCT1\/SLC16A1 reflect biology rather than handling. When interpreting MCT1\/SLC16A1, 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 MCT1\/SLC16A1 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":57578067886425,"sku":"F4583-20UL","price":169.0,"currency_code":"EUR","in_stock":true},{"title":"100 µl","offer_id":57578067919193,"sku":"F4583-100UL","price":329.0,"currency_code":"EUR","in_stock":true},{"title":"2 × 100 µl","offer_id":57578067951961,"sku":"F4583-2X100UL","price":489.0,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0923\/1011\/0553\/files\/F4583-IF.png?v=1773601691","url":"https:\/\/absource.de\/products\/mct1-slc16a1-antibody-sc-f4583","provider":"Absource Diagnostics","version":"1.0","type":"link"}