DARPP32 Antibody

About the Target

Dopamine- and cAMP-regulated phosphoprotein, Mr 32 kDa (DARPP32), is a major target for dopamine and protein kinase A (PKA) in the striatum. DARPP-32 phosphorylation integrates information from various neurotransmitters, neuromodulators, neuropeptides, and steroid hormones in multiple brain regions. Phosphorylation at Thr34 by PKA or PKG converts DARPP-32 into a potent inhibitor of protein phosphatase-1 (PP-1), while phosphorylation at Thr75 by Cdk5 converts it into an inhibitor of PKA.

Reported cellular context includes cytoplasm, which can matter when signal is compared across treatments or changing cell states. Following DARPP32 across matched perturbations can help separate abundance effects from shifts in localization, complex assembly, or pathway state.

Research Context

DARPP32 is commonly interpreted in the context of neuroscience, endocrinology, and cell signaling research, and readouts are often stronger when a study separates expression changes from compartment-level redistribution. When reported signal spans cytoplasm, a defined reference condition can make comparisons more interpretable across perturbations, passages, or replicate sets.

Consider these angles when interpreting target-level changes:

• signal enrichment within cytoplasm relative to the broader cellular background
• compartment-specific patterns relevant to neuronal polarity, transport, or synaptic context
• responses to hormone-dependent signaling or endocrine feedback context
• signal-dependent shifts after ligand, inhibitor, or growth-factor perturbation

Variant Considerations

If your project spans exploratory questions, the regular version offers a balanced option for establishing baseline signal behavior for DARPP32. 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 DARPP32 reflect biology rather than handling. When interpreting DARPP32, 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 DARPP32 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.