Olfm4 Antibody

About the Target

Olfactomedin 4 (OLFM4) is a neutrophil-specific granule protein expressed in a subset of human and mouse neutrophils. It belongs to a well-conserved family of glycoproteins containing the olfactomedin domain. OLFM4 is naturally expressed in neutrophils, intestinal crypts, and the prostate, and plays a critical role in innate immunity, inflammation, and carcinogenesis.

Reported cellular context includes mitochondrion and secreted, which can matter when signal is compared across treatments or changing cell states. Following OLFM4 across matched perturbations can help separate abundance effects from shifts in localization, complex assembly, or pathway state.

Research Context

OLFM4 is commonly interpreted in the context of immunology, inflammation, and developmental biology research, and readouts are often stronger when a study separates expression changes from compartment-level redistribution. When reported signal spans mitochondrion and secreted, 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 mitochondrion and secreted across matched conditions
• context differences tied to immune-cell state, activation, or lineage composition
• responses associated with cytokine exposure, inflammatory tone, or tissue stress
• stage-dependent patterns during differentiation, morphogenesis, or lineage commitment

Variant Considerations

If your project spans exploratory questions, the regular version offers a balanced option for establishing baseline signal behavior for OLFM4. 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 OLFM4 reflect biology rather than handling. When interpreting OLFM4, 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 OLFM4 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.