Rad52 Antibody

About the Target

RAD52 is a human DNA/RNA-binding protein of 418 amino acids that forms multimeric, ring-shaped oligomers-historically described as heptamers with its highly conserved N-terminal domain (aa 1-208) mediating DNA binding and oligomerization, and its less conserved C-terminal domain containing binding sites for RAD51 and replication protein A (RPA). RAD52 is expressed in the nucleus of proliferating cells, where it plays multifaceted roles in DNA double-strand break repair pathways, most prominently in single-strand annealing (SSA) and as a backup factor for homologous recombination (HR) in BRCA-deficient contexts. Depending on the literature source, RAD52 may also be discussed as DNA repair protein RAD52 homolog.

Reported cellular context includes nucleus, which can matter when signal is compared across treatments or changing cell states. Following RAD52 across matched perturbations can help separate abundance effects from shifts in localization, complex assembly, or pathway state.

Research Context

RAD52 is commonly interpreted in the context of dna damage / repair research, and readouts are often stronger when a study separates expression changes from compartment-level redistribution. When reported signal spans nucleus, 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 nucleus relative to the broader cellular background
• stress-induced changes after checkpoint activation or genotoxic challenge
• 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 RAD52. 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 RAD52 reflect biology rather than handling. When interpreting RAD52, 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 RAD52 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.