CD276 Biotin

Overview

CD276 Biotin is a Mouse monoclonal targeting CD276, supplied as a Biotin format for FC workflows. It supports measurement of Human target expression in common experimental systems.

Key elements and design rationale

• Clone: DCN.70 — consistent clone identity can support panel reproducibility and cross-study comparisons.
• Isotype: IgG1, k — informs selection of matched controls and secondary reagents when relevant.
• Conjugate: Biotin — enables direct detection in fluorescence-based assays.
• Host species: Mouse — useful for panel design and control strategy planning.
• Reactivity: Human — interpret staining in the context of species-specific sequence and expression differences.

Key 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.

Biological background

The clone DCN.70, a mouse monoclonal antibody selectively binds with a k type I membrane protein commonly known as CD276, a member of B7-H3 immunoregulatory family. It is not expressed by lymphocytes or granulocytes but weakly expressed on resting monocytes. Increased expression is observed on monocytes derived dendritic cells as well as in a variety of cancer types, including breast, pancreatic, and ovarian cancer. CD276 expression has been correlated with poor survival in ovarian cancer subjects. CD276 blockade, especially when combined with an anti-PD-1 blockade, is a promising strategy for the treatment of B7-H3-expressing NSCLCs that arerefractory to anti-PD-1 treatment, making CD276 a promising clinical molecular target.

Research relevance and current trends

• High-parameter immunophenotyping: combining CD276 with complementary lineage and activation markers to resolve complex cell states.
• Panel standardization and data comparability: increasing emphasis on consistent reagents, compensation-aware fluorophore choices, and shared gating strategies.
• Integration with single-cell multi-omics: pairing surface marker profiling with transcriptomic or proteomic readouts to connect phenotype to function.

Common research applications

• Flow cytometry: quantify CD276-positive populations and compare expression distributions across conditions or time points.
• Cell sorting: enrich CD276-defined subsets for downstream RNA/protein assays or functional readouts.

Changes 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.

Notes for experimental interpretation

• Fluorophore selection: consider brightness, spectral overlap, and instrument configuration; compensation and spillover can affect apparent population boundaries.
• Biology-driven confounders: activation state, differentiation, and isoform/PTM variation can shift epitope accessibility and apparent expression.
• Control concepts: include matched isotype and fluorescence-minus-one (FMO) controls where appropriate, and interpret results alongside biological positive/negative reference samples.

For 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.

Customization & Add-ons: Can’t find the antibody you need—or require a custom format for your assay? We can help you source the best match or support custom antibody solutions for diverse research needs, including species and isotype selection, conjugations and labeling (e.g., HRP/AP, biotin, fluorophores), purification grade options (Protein A/G, affinity purified), formulation preferences (buffer selection, carrier-free, glycerol-free), custom concentrations and aliquoting, low-endotoxin options for cell-based work, and application-focused QC/validation support (project dependent). Click Talk to a Scientist to submit a request, email us at support@biohippo.com, or explore our Research Services for additional support—our team will follow up with feasibility details and next steps.