RPA70 Antibody

About the Target

RPA70 is the largest subunit of the Replication Protein A (RPA) complex and plays a central role in maintaining genome stability during DNA replication and repair. It contains four oligonucleotide/oligosaccharide-binding (OB) fold domains: DBD-F, DBD-A, DBD-B, and DBD-C. The N-terminal DBD-F domain mediates protein-protein interactions, acting as a docking site for DNA damage response factors like p53, ATRIP, and the MRN complex, despite its weak ssDNA affinity. Depending on the literature source, RPA70 may also be discussed as REPA1 and RPA1.

Reported cellular context includes nucleus, which can matter when signal is compared across treatments or changing cell states. Following RPA70 across matched perturbations can help separate abundance effects from shifts in localization, complex assembly, or pathway state.

Research Context

RPA70 is commonly interpreted in the context of dna damage / repair and cell cycle 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
• cell-cycle linked differences in abundance, timing, or compartmental enrichment
• co-patterning with orthogonal markers and control conditions that clarify pathway state

Variant Considerations

If your project spans exploratory questions, the regular version offers a balanced option for establishing baseline signal behavior for RPA70. 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 RPA70 reflect biology rather than handling. When interpreting RPA70, 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 RPA70 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.