RanGAP1 Antibody

About the Target

Ran GTPase-activating protein 1 (RanGAP1) is a 65-kDa nuclear protein that forms homodimers and plays a critical role in regulating Ran-mediated GTP hydrolysis, a process essential for controlling nucleocytoplasmic transport. A substantial portion of RanGAP1 undergoes covalent modification by the small ubiquitin-like modifier SUMO-1, a modification necessary for its relocation from the cytoplasm to the nuclear pore complex and mitotic spindle structures. Depending on the literature source, RANGAP1 may also be discussed as KIAA1835 and SD.

Reported cellular context includes centromere, chromosome, cytoplasm, and cytoskeleton, which can matter when signal is compared across treatments or changing cell states. Following RANGAP1 across matched perturbations can help separate abundance effects from shifts in localization, complex assembly, or pathway state.

Research Context

RANGAP1 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 centromere, chromosome, 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 centromere, chromosome, 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 RANGAP1. 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 RANGAP1 reflect biology rather than handling. When interpreting RANGAP1, 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 RANGAP1 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.