{"product_id":"cd74-fitc-bha19901251","title":"CD74 FITC","description":"\u003ch2\u003eOverview\u003c\/h2\u003e\u003cp\u003eCD74 FITC is a Mouse monoclonal targeting CD74, 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 PIN.1 — 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. 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\u003eThe clone PIN.1, a mouse monoclonal antibody, recognizes an ~33-35 kDa protein doublet corresponding to the apparent molecular mass of the p33 and p35 forms of the cytoplasmic tail of human CD74, a type II transmembrane glycoprotein. CD74 is known as an invariant chain or MHC class II chaperone or MIF (macrophage migration inhibitory factor) receptor. It plays a critical role in antigen processing, resulting in antigen presentation by MHC class II to CD4+ T cells. Antigen presenting cells such as B cells, monocytes\/macrophages, dendritic cells, and Langerhans cells as well as activated T cells, carcinomas of lung, renal, gastric and thymic origins express CD74. CD44 is an integral member of the CD74 receptor complex and required for CD74 signal transduction. CD74’s cytoplasmic domain binds chromatin and regulates transcription and expression of genes involved in immune regulation, cell survival, and hematopoietic cancers. Published report claimed that the urease B subunit released by H. pylori binds to CD74 of gastric epithelial cells leading to induce NF-κB activation and IL-8 production.\u003c\/p\u003e\u003ch2\u003eResearch relevance and current trends\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eHigh-parameter immunophenotyping: combining CD74 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 CD74-positive populations and compare expression distributions across conditions or time points.\u003c\/li\u003e\n\u003cli\u003eCell sorting: enrich CD74-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":"50 Tests","offer_id":53072791404909,"sku":"4088012","price":210.0,"currency_code":"USD","in_stock":true},{"title":"100 Tests","offer_id":53072870801773,"sku":"4088015","price":345.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/caprico_logo_c6125b58-9baa-494d-a3a6-1056a5e4bc31.png?v=1772634963","url":"https:\/\/www.ebiohippo.com\/products\/cd74-fitc-bha19901251","provider":"BioHippo","version":"1.0","type":"link"}