{"product_id":"cd34-percp-bha19901655","title":"CD34 PerCP","description":"\u003ch2\u003eOverview\u003c\/h2\u003e\u003cp\u003eCD34 PerCP is a Mouse monoclonal targeting CD34, supplied as a PerCP 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 10D2 — 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 PerCP — 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\u003eCD34, also known as gp105-120, is a type I monomeric sialomucin-like glycophosphoprotein with a molecular weight of approximately 105-120 kDa. It is primarily expressed on hematopoietic stem and progenitor cells, bone marrow stromal cells, capillary endothelial cells, embryonic fibroblasts, and certain nervous tissues. CD34 is widely used as a marker to identify human hematopoietic stem and progenitor cells. Its expression varies with differentiation stages, being highly expressed on early progenitor cells and gradually decreasing as cells mature, eventually becoming absent in fully differentiated hematopoietic cells. Functionally, CD34 plays a role in cell adhesion and lymphocyte homing by binding to L-selectin and E-selectin ligands. It is found on all hematopoietic colony-forming cells in bone marrow and blood, including both unipotent (CFU-GM, BFU-E) and pluripotent progenitors (CFU-GEMM, CFU-Mix, and CFU-Blast). CD34+ cells that are uncommitted lack lineage-specific markers such as CD71, CD33, CD10, and CD5, whereas lineage-committed CD34+ cells express CD38 at high levels.\u003c\/p\u003e\u003ch2\u003eResearch relevance and current trends\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eHigh-parameter immunophenotyping: combining CD34 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 CD34-positive populations and compare expression distributions across conditions or time points.\u003c\/li\u003e\n\u003cli\u003eCell sorting: enrich CD34-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":53072805298541,"sku":"4324032","price":325.0,"currency_code":"USD","in_stock":true},{"title":"100 Tests","offer_id":53072888955245,"sku":"4324035","price":495.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/caprico_logo_6f85a69a-4a70-42e8-9f5e-0786589b86b9.png?v=1772634998","url":"https:\/\/www.ebiohippo.com\/products\/cd34-percp-bha19901655","provider":"BioHippo","version":"1.0","type":"link"}