5 Lipoxygenase/5-LO Antibody

About the Target

ALOX5 is a target of interest in many antibody-based workflows. 5-Lipoxygenase (5-LO) is a non-heme iron-containing monomeric enzyme of the lipoxygenase family that catalyzes the initial steps of leukotriene biosynthesis by oxygenating arachidonic acid into 5-HPETE and subsequently dehydrating it to leukotriene A4 (LTA4). 5-LO is composed of two main domains: an N-terminal β-sandwich C2-like domain responsible for calcium and membrane binding, and a C-terminal catalytic domain housing a non-heme iron coordinated by a 2-His-1-carboxylate facial triad essential for its dioxygenase function. Depending on the literature source, ALOX5 may also be discussed as 5 Lipoxygenase/5-LO and LOG5.

Reported cellular context includes cytoplasm, membrane, and nucleus, which can matter when signal is compared across treatments or changing cell states. Following ALOX5 across matched perturbations can help separate abundance effects from shifts in localization, complex assembly, or pathway state.

Research Context

ALOX5 is commonly interpreted in the context of immunology and metabolism research, and readouts are often stronger when a study separates expression changes from compartment-level redistribution. When reported signal spans cytoplasm, membrane, and nucleus, 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 cytoplasm, membrane, and nucleus across matched conditions
• context differences tied to immune-cell state, activation, or lineage composition
• responses linked to nutrient status, mitochondrial state, or metabolic rewiring
• 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 ALOX5. 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 ALOX5 reflect biology rather than handling. When interpreting ALOX5, 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 ALOX5 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.