EB1 Antibody

About the Target

End-binding protein 1 (EB1) is a key microtubule-associated protein that regulates microtubule dynamics and stability, essential for cell division and intracellular transport. EB1 binds to the growing ends of microtubules and recruits proteins needed for microtubule assembly and function. EB1 is encoded by the MAPRE genes (MAPRE1, MAPRE2, and MAPRE3), which produce the EB1 family proteins, including EB1, RP1, and EBF3. Depending on the literature source, EB1 may also be discussed as MAPRE1.

Reported cellular context includes cell projection, cilium, cytoplasm, and cytoskeleton, which can matter when signal is compared across treatments or changing cell states. Following EB1 across matched perturbations can help separate abundance effects from shifts in localization, complex assembly, or pathway state.

Research Context

EB1 is commonly interpreted in the context of cell cycle research, and readouts are often stronger when a study separates expression changes from compartment-level redistribution. When reported signal spans cell projection, cilium, and cytoplasm, 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 projection, cilium, and cytoplasm across matched conditions
• cell-cycle linked differences in abundance, timing, or compartmental enrichment
• co-patterning with orthogonal markers and control conditions that clarify pathway state
• time-matched comparisons so changes reflect biology rather than handling or sampling drift

Variant Considerations

If your project spans exploratory questions, the regular version offers a balanced option for establishing baseline signal behavior for EB1. 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 EB1 reflect biology rather than handling. When interpreting EB1, 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 EB1 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.