{"title":"Antibody-Drug-Conjugates","description":"","products":[{"product_id":"adcy9-antibody-sc-f3599","title":"ADCY9 \/ AC9 Antibody","description":"\u003ch2\u003eAbout the Target\u003c\/h2\u003e\u003cp\u003eADCY9 \/ AC9 (Adenylyl cyclase 9) is the most divergent of the nine mammalian transmembrane adenylyl cyclase (AC) isoforms, characterized by its relative insensitivity to forskolin and a unique C-terminal extension (C2b) that suppresses enzymatic activity by occupying its catalytic and allosteric sites. Structurally, ADCY9 \/ AC9 consists of 12 transmembrane helices arranged in two domains (TM1-6 and TM7-12), a cytoplasmic catalytic core formed by C1 and C2 domains, and the distinctive C2b domain that elevates its Km for ATP upon Gαs activation. Depending on the literature source, ADCY9 may also be discussed as ADCY9 \/ AC9.\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 ADCY9 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\u003eADCY9 is commonly interpreted in the context of cardiovascular and cell signaling 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\u003echanges linked to vascular, contractile, or hemodynamic cell-state cues\u003c\/li\u003e\n\u003cli\u003esignal-dependent shifts after ligand, inhibitor, or growth-factor perturbation\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 ADCY9. 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 ADCY9 reflect biology rather than handling. When interpreting ADCY9, 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 ADCY9 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":57578034430297,"sku":"F3599-20UL","price":199.0,"currency_code":"EUR","in_stock":true},{"title":"100 µl","offer_id":57578034463065,"sku":"F3599-100UL","price":489.0,"currency_code":"EUR","in_stock":true},{"title":"2 × 100 µl","offer_id":57578034495833,"sku":"F3599-2X100UL","price":729.0,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0923\/1011\/0553\/files\/F3599-wb.gif?v=1773601318"},{"product_id":"anti-madcam1-antibody-ontamalimab","title":"Ontamalimab (Anti-MADCAM1)","description":"\u003ch2\u003eAbout the Target\u003c\/h2\u003e\u003cp\u003eFor consistent comparison across experiments, use this antibody to investigate MADCAM1 with a repeatable workflow. MADCAM1 is frequently evaluated in target-focused research where researchers compare target-linked changes across matched conditions, perturbations, and model systems. Using shared controls and stable handling criteria helps keep observed differences interpretable as studies expand.\u003c\/p\u003e\u003cp\u003eMADCAM1 is often examined in comparative workflows where investigators want a repeatable way to track target-associated changes across matched experimental conditions. Following MADCAM1 across replicate sets can help separate abundance-related changes from effects driven by localization, cell-state composition, or treatment timing.\u003c\/p\u003e\u003ch2\u003eResearch Context\u003c\/h2\u003e\u003cp\u003eBecause target-associated signal can vary with sampling window, matrix, and biological context, experimental design usually benefits from predefined controls and consistent inclusion criteria. This is especially important when MADCAM1 is studied across multiple perturbations, response states, or longitudinal collections.\u003c\/p\u003e\u003cp\u003eWhen interpreting MADCAM1, it can be useful to compare direct target readouts with companion markers that anchor pathway activity, cell identity, or sample quality. That approach makes it easier to distinguish a true biological shift from processing-related variation or background differences between runs.\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003ebaseline abundance versus context-dependent redistribution\u003c\/li\u003e\n\u003cli\u003etreatment timing or stimulation effects on signal intensity\u003c\/li\u003e\n\u003cli\u003eco-occurrence with pathway or lineage markers in matched samples\u003c\/li\u003e\n\u003cli\u003edifferences between biological response and technical background\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eVariant Considerations\u003c\/h2\u003e\u003cp\u003eIf your project spans exploratory questions, the regular format offers a balanced option for establishing baseline signal behavior for MADCAM1. This matters because extraction, incubation, and detection conditions can all influence apparent readout strength even when the underlying biology is unchanged.\u003c\/p\u003e\u003cp\u003eFor multi-run studies, it helps to define a shared reference condition for MADCAM1 early in the workflow so cross-sample contrasts remain meaningful. Matched processing and stable review criteria reduce the chance that workflow drift will be mistaken for a target-linked biological effect.\u003c\/p\u003e\u003cp\u003eAcross independent experiments, standardized handling supports more reliable interpretation of MADCAM1 in comparative datasets, whether the goal is screening, mechanism-focused follow-up, or confirmation across related models.\u003c\/p\u003e","brand":"Selleck Chemicals","offers":[{"title":"1 mg","offer_id":57770758373721,"sku":"A2404-1MG","price":529.0,"currency_code":"EUR","in_stock":true},{"title":"5 × 1 mg","offer_id":57770758406489,"sku":"A2404-5X1MG","price":1660.0,"currency_code":"EUR","in_stock":true},{"title":"25 × 1 mg","offer_id":57770758439257,"sku":"A2404-25X1MG","price":4982.0,"currency_code":"EUR","in_stock":true}]},{"product_id":"dxd-exatecan-derivative-for-adc-e2891","title":"Dxd (Exatecan derivative for ADC)","description":"\u003cp\u003e\u003cstrong\u003eDxd (Exatecan derivative for ADC)\u003c\/strong\u003e is an inhibitor of Topoisomerase used in studies of DNA Damage Response. It is especially relevant in cancer and dna damage \/ repair models, where defined compound exposure can be linked to checkpoint activation, DNA repair, and genome-stability control.\u003c\/p\u003e\n\n\u003cp\u003eBy inhibiting Topoisomerase, Dxd (Exatecan derivative for ADC) can be used to examine checkpoint activation, DNA repair, and genome-stability control. The enzyme annotation adds relevance to enzyme-activity assays, substrate-conversion studies, and mechanism profiling, together with downstream-response mapping in the same experimental setting. In cancer and dna damage \/ repair models, these readouts can be combined with viability, reporter, localization, biochemical conversion, or morphology endpoints to refine experimental interpretation.\u003c\/p\u003e\n\n\u003ch2\u003eResearch Applications\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eTarget-focused assays involving Topoisomerase\u003c\/li\u003e\n\u003cli\u003ePathway perturbation studies connected to DNA Damage Response\u003c\/li\u003e\n\u003cli\u003eConcentration-response inhibition and target-dependence studies\u003c\/li\u003e\n\u003cli\u003eEnzyme-activity assays, substrate-conversion studies, and mechanism profiling\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003cp\u003eOverall, Dxd (Exatecan derivative for ADC) is appropriate when a defined chemical perturbant is needed to connect Topoisomerase with measurable biochemical, transcriptional, electrophysiological, imaging, or phenotypic readouts in cancer and dna damage \/ repair models. This profile is suited to mechanistic follow-up, comparative profiling, and assay optimization under defined exposure conditions.\u003c\/p\u003e","brand":"Selleck Chemicals","offers":[{"title":"5 mg","offer_id":57804621611353,"sku":"E2891-5MG","price":311.0,"currency_code":"EUR","in_stock":true},{"title":"25 mg","offer_id":57804621644121,"sku":"E2891-25MG","price":932.0,"currency_code":"EUR","in_stock":true},{"title":"100 mg","offer_id":57804621676889,"sku":"E2891-100MG","price":2329.0,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0923\/1011\/0553\/files\/e2891-dxd-chemical-structure.png?v=1776167999"},{"product_id":"anti-kaag1-adct-901-mmae","title":"Anti-KAAG1 (ADCT-901-MMAE)","description":"\u003cp\u003e\u003cstrong\u003eAnti-KAAG1 (ADCT-901-MMAE)\u003c\/strong\u003e is an ADC composed of a humanized monoclonal antibody (3A4) targeting human KAAG1.\u003c\/p\u003e\u003ch2\u003eProduct overview\u003c\/h2\u003e\u003cp\u003eIt is used for research involving advanced solid tumors including platinum resistant ovarian cancer and triple negative breast cancer. The product background identifies the antibody component, target antigen and payload or linker architecture where these details are supplied. This ADC context supports comparison of antigen recognition, payload conjugation and cellular uptake behavior in controlled assay systems, especially when researchers need to distinguish conjugated biologics from unconjugated antibodies or standalone small molecules.\u003c\/p\u003e\u003ch2\u003eLaboratory context\u003c\/h2\u003e\u003cp\u003eThe listed workflow context supports binding and uptake-oriented laboratory studies where a defined antibody component, cellular target and conjugated payload are relevant to assay planning, including cell-surface binding, cell-uptake and protein-binding experiments, within oncology research.\u003c\/p\u003e","brand":"Selleck Chemicals","offers":[{"title":"1 mg","offer_id":58188063015257,"sku":"D4062-1MG","price":953.0,"currency_code":"EUR","in_stock":true},{"title":"5 × 1 mg","offer_id":58188063048025,"sku":"D4062-5X1MG","price":2918.0,"currency_code":"EUR","in_stock":true},{"title":"25 × 1 mg","offer_id":58188063080793,"sku":"D4062-25X1MG","price":7832.0,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0923\/1011\/0553\/files\/a2-serial-chemical-structure_048529f6-62c4-4513-a37b-77d27a4abb69.gif?v=1780390102"}],"url":"https:\/\/absource.de\/collections\/antibody-drug-conjugates.oembed","provider":"Absource Diagnostics","version":"1.0","type":"link"}