S100A8 Antibody

About the Target

S100A8 is a member of the low-molecular-weight S100 protein family (10-13 kDa), which currently includes 22 known members-making it the largest subfamily of EF-hand Ca²⁺-binding proteins. It is highly abundant in the cytosol of phagocytes and plays essential roles in various cellular processes, including motility and danger signaling, by interacting with and modulating the activity of specific target proteins. Depending on the literature source, S100A8 may also be discussed as CAGA and CFAG.

Reported cellular context includes cell membrane, cytoplasm, cytoskeleton, and membrane, which can matter when signal is compared across treatments or changing cell states. Following S100A8 across matched perturbations can help separate abundance effects from shifts in localization, complex assembly, or pathway state.

Research Context

S100A8 is commonly interpreted in the context of immunology research, and readouts are often stronger when a study separates expression changes from compartment-level redistribution. When reported signal spans cell membrane, cytoplasm, and cytoskeleton, 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 cell membrane, cytoplasm, and cytoskeleton across matched conditions
• context differences tied to immune-cell state, activation, or lineage composition
• 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 S100A8. 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 S100A8 reflect biology rather than handling. When interpreting S100A8, 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 S100A8 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.