| Field | Specification |
|---|---|
| Mfr No | |
| Clonality | |
| Host | |
| Immunogen | Myeloblastic KG1 cells were used as the immunogen for this CD43 antibody. |
| Isotype | |
| Product Type | |
| Purity | |
| Reactivity | |
| Storage | |
| Target | |
| UniProt # |
Overview
It recognizes a cell surface glycoprotein of 95/115/135kDa (depending upon the extent of glycosylation), identified as CD43. 70-90% of T-cell lymphomas and from 22-37% of B-cell lymphomas express CD43. No reactivity has been observed with reactive B-cells. So a B-lineage population that co-expresses CD43 is highly likely to be a malignant lymphoma, especially a low-grade lymphoma, rather than a reactive B-cell population. When CD43 antibody is used in combination with anti-CD20, effective immunophenotyping of the lymphomas in formalin-fixed tissues can be obtained. Co-staining of a lymphoid infiltrate with anti-CD20 and anti-CD43 argues against a reactive process and favors a diagnosis of lymphoma.
This anti-CD43 antibody is supplied as Purified (Mouse, Monoclonal (mouse origin), clone SPM503, Mouse IgG1, kappa, Unconjugated) and is designed to support common target-detection workflows after the on-page specifications.
Key elements and design rationale
- Target: CD43
- Format: Purified
- Localization: Cell surface
- Species reactivity: Human
- Applications (listed): FACS, IF, WB, IHC-P
- Conjugate: Unconjugated
- Clone and antibody class: Monoclonal (mouse origin), clone SPM503, Mouse IgG1, kappa
Because antibody performance can depend on epitope context, sample preparation, and biological state, interpret signals using appropriate controls and orthogonal evidence when possible.
Biological background
CD43 is referenced in public gene/protein resources (e.g., UniProt and NCBI Gene), which provide curated names/synonyms, protein features, and pathway context. When designing assays, consider potential isoforms, post-translational modifications, and cell-type specific expression that may influence observed signal.
Research relevance and current trends
- Profiling CD43 expression across model systems, perturbations, and time points to support mechanistic hypotheses.
- Combining antibody-based detection with multi-omics or imaging readouts to link CD43 signal with phenotype.
- Using well-matched controls (isotype controls, genetic perturbations, or independent reagents) to strengthen interpretation of target-associated signal.
Common research applications
- FACS
- IF
- WB
- IHC-P
Use the listed applications as a starting point and tailor experimental design to your sample type and readout requirements.
Notes for experimental interpretation
- Specificity considerations: closely related family members, isoforms, or PTMs can affect apparent specificity; confirm with independent approaches when critical.
- Controls: include negative controls and, when feasible, genetic or pharmacologic perturbations to support target attribution in your system.
- Species and sample context: differences in sequence, expression, fixation, or extraction conditions can change signal behavior across models.
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.
