GM130 Antibody

About the Target

Golgi matrix protein 130 (GM130) is a crucial Golgi-shaping protein situated on the cis surface of the Golgi apparatus (GA). Encoded by the GOLGA2 gene, GM130 is part of the Golgin family of proteins characterized by their presence in the Golgi matrix and long coiled-coil domains. Depending on the literature source, GOLGA2 may also be discussed as GM130.

Reported cellular context includes cytoplasm and nucleus, which can matter when signal is compared across treatments or changing cell states. Following GOLGA2 across matched perturbations can help separate abundance effects from shifts in localization, complex assembly, or pathway state.

Research Context

GOLGA2 is commonly interpreted in the context of neuroscience research, and readouts are often stronger when a study separates expression changes from compartment-level redistribution. When reported signal spans cytoplasm and nucleus, 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 cytoplasm and nucleus across matched conditions
• compartment-specific patterns relevant to neuronal polarity, transport, or synaptic context
• 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 GOLGA2. 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 GOLGA2 reflect biology rather than handling. When interpreting GOLGA2, 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 GOLGA2 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.