{"product_id":"cd47-fitc-bha19900486","title":"CD47 FITC","description":"\u003ch2\u003eOverview\u003c\/h2\u003e\u003cp\u003eCD47 FITC is a Mouse monoclonal targeting CD47, supplied as a FITC format for FC workflows. It supports measurement of Human target expression in common experimental systems.\u003c\/p\u003e\u003ch2\u003eKey elements and design rationale\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eClone:\u003c\/strong\u003e B6H12.2 — consistent clone identity can support panel reproducibility and cross-study comparisons.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eIsotype:\u003c\/strong\u003e IgG1, k — informs selection of matched controls and secondary reagents when relevant.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eConjugate:\u003c\/strong\u003e FITC — enables direct detection in fluorescence-based assays.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eHost species:\u003c\/strong\u003e Mouse — useful for panel design and control strategy planning.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eReactivity:\u003c\/strong\u003e Human — interpret staining in the context of species-specific sequence and expression differences.\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eKey specifications such as clone identity, isotype, and fluorophore conjugation help researchers align panel design, control selection, and instrument configuration with the biological question and sample type.\u003c\/p\u003e\u003ch2\u003eBiological background\u003c\/h2\u003e\u003cp\u003eThe clone B6H12.2, a mouse monoclonal antibody selectively recognizes a ~50 kDa N-linked glycan protein originally known as integrin-associated protein or IAP and currently known as CD47. CD47 is an unusual Immunoglobulin (Ig) family member, with an Ig variable-like amino-terminal extracellular domain and a five times membrane-spanning carboxyl-terminal region. It is broadly expressed on the plasma membranes of all hematopoietic cells, including erythrocytes. CD47 plays various important roles in cellular functional processes, including proliferation, apoptosis, adhesion, migration, and also in immune regulation and homeostasis. CD47 is highly expressed on myeloma cells and may be considered as a potential treatment-related candidate for myeloma treatment.\u003c\/p\u003e\u003ch2\u003eResearch relevance and current trends\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eHigh-parameter immunophenotyping: combining CD47 with complementary lineage and activation markers to resolve complex cell states.\u003c\/li\u003e\n\u003cli\u003ePanel standardization and data comparability: increasing emphasis on consistent reagents, compensation-aware fluorophore choices, and shared gating strategies.\u003c\/li\u003e\n\u003cli\u003eIntegration with single-cell multi-omics: pairing surface marker profiling with transcriptomic or proteomic readouts to connect phenotype to function.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eCommon research applications\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eFlow cytometry: quantify CD47-positive populations and compare expression distributions across conditions or time points.\u003c\/li\u003e\n\u003cli\u003eCell sorting: enrich CD47-defined subsets for downstream RNA\/protein assays or functional readouts.\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eChanges in measured signal are typically interpreted in the context of cell subset frequency, activation\/differentiation state, and sample processing effects rather than as a standalone readout.\u003c\/p\u003e\u003ch2\u003eNotes for experimental interpretation\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eFluorophore selection: consider brightness, spectral overlap, and instrument configuration; compensation and spillover can affect apparent population boundaries.\u003c\/li\u003e\n\u003cli\u003eBiology-driven confounders: activation state, differentiation, and isoform\/PTM variation can shift epitope accessibility and apparent expression.\u003c\/li\u003e\n\u003cli\u003eControl concepts: include matched isotype and fluorescence-minus-one (FMO) controls where appropriate, and interpret results alongside biological positive\/negative reference samples.\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eFor antibody-based assays, monoclonal versus polyclonal format can influence epitope recognition breadth and signal consistency. Conjugated antibodies support direct detection and can simplify multicolor panel design when paired with appropriate controls and instrument settings.\u003c\/p\u003e\u003c!-- Sources (internal): - UniProt Knowledgebase — UniProt — https:\/\/www.uniprot.org\/ - NCBI Gene — NCBI — https:\/\/www.ncbi.nlm.nih.gov\/gene\/ - HGNC gene nomenclature — HUGO Gene Nomenclature Committee — https:\/\/www.genenames.org\/ - Flow cytometry basics — NIH\/NCI (overview resources) — https:\/\/www.cancer.gov\/research\/resources - High-dimensional cytometry overview — Nature Methods (journal) — https:\/\/www.nature.com\/nmeth\/ --\u003e","brand":"Caprico","offers":[{"title":"25 Tests","offer_id":53072766763373,"sku":"111114","price":80.0,"currency_code":"USD","in_stock":true},{"title":"100 Tests","offer_id":53072836198765,"sku":"111115","price":165.0,"currency_code":"USD","in_stock":true},{"title":"200 Tests","offer_id":53072836231533,"sku":"111116","price":280.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/CD47-B6H12.2-Figure.jpg?v=1772634876","url":"https:\/\/www.ebiohippo.com\/products\/cd47-fitc-bha19900486","provider":"BioHippo","version":"1.0","type":"link"}