{"product_id":"cd13-ifluor488-bha19900093","title":"CD13 iFluor488","description":"\u003ch2\u003eOverview\u003c\/h2\u003e\u003cp\u003eCD13 iFluor488 is a Mouse monoclonal targeting CD13, supplied as a iFluor™ 488 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 APN\/1464 — 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 iFluor™ 488 — enables direct detection in fluorescence-based assays. Excitation is typically matched to Blue (488nm) lasers in cytometer configurations.\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\u003eClone APN1464 recognizes cell surface CD13 antigen, a 150kDa membrane glycoprotein. The CD13 antigen is highly expressed mostly on myeloid-derived hematopoietic cells including granulocytes, monocytes, mast cells, and GM-progenitor cells. CD13 abundantly expresses on most of the malignant cells of myeloid origin such as AML, CML and also on smaller subset of cancer cells of lymphoid origin. Normal lymphocytes, platelets and erythrocytes do not express CD13. CD13 plays important role in metabolism of biologically active peptides, in phagocytosis, and in bactericidal\/tumoricidal immune process. It also serves as a receptor for human coronaviruses (HCV).\u003c\/p\u003e\u003ch2\u003eResearch relevance and current trends\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eHigh-parameter immunophenotyping: combining CD13 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 CD13-positive populations and compare expression distributions across conditions or time points.\u003c\/li\u003e\n\u003cli\u003eCell sorting: enrich CD13-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":53072753033581,"sku":"1038114","price":110.0,"currency_code":"USD","in_stock":true},{"title":"100 Tests","offer_id":53072814702957,"sku":"1038115","price":240.0,"currency_code":"USD","in_stock":true},{"title":"200 Tests","offer_id":53072814735725,"sku":"1038116","price":405.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/1038114-CD13-iFluor488-APN1464.jpg?v=1772634826","url":"https:\/\/www.ebiohippo.com\/products\/cd13-ifluor488-bha19900093","provider":"BioHippo","version":"1.0","type":"link"}