NUMB Antibody

About the Target

NUMB is a highly conserved adaptor protein crucial for cell fate determination, asymmetric cell division, and regulation of signaling pathways. It belongs to the NUMB protein family, which includes NUMB and NUMBL, and features an N-terminal phosphotyrosine-binding (PTB) domain for protein-protein interactions and a C-terminal proline-rich region (PRR) that binds SH3-domain-containing proteins. Depending on the literature source, NUMB may also be discussed as C14orf41 and Protein numb homolog.

Reported cellular context includes cell membrane, endosome, and membrane, which can matter when signal is compared across treatments or changing cell states. Following NUMB across matched perturbations can help separate abundance effects from shifts in localization, complex assembly, or pathway state.

Research Context

NUMB is commonly interpreted in the context of cancer, developmental biology, and stem cell biology research, and readouts are often stronger when a study separates expression changes from compartment-level redistribution. When reported signal spans cell membrane, endosome, and membrane, a defined reference condition can make comparisons more interpretable across perturbations, passages, or replicate sets.

Consider these angles when interpreting target-level changes:

• apparent redistribution between cell membrane, endosome, and membrane across matched conditions
• changes associated with proliferative state, oncogenic signaling, or treatment response
• stage-dependent patterns during differentiation, morphogenesis, or lineage commitment
• state transitions between self-renewal, priming, and differentiation

Variant Considerations

If your project spans exploratory questions, the regular version offers a balanced option for establishing baseline signal behavior for NUMB. This can help when protocols evolve over time and the goal is to compare experiments using a stable reference workflow.

Standardize sampling time, control choice, and downstream analysis thresholds so apparent differences in NUMB reflect biology rather than handling. When interpreting NUMB, it is often useful to decide early whether the main question is overall abundance, compartmental enrichment, or context-dependent redistribution.

For multi-run studies, a shared reference condition can keep NUMB trends easier to compare across datasets. That kind of consistency is especially helpful when follow-up work expands to new perturbations, model systems, or longitudinal collections.