Aspartate Aminotransferase + FABP-1 Antibody

About the Target

CASPAT is a target of interest in many antibody-based workflows. Aspartate Aminotransferase + FABP-1 are distinct liver-associated proteins with different primary roles but some overlapping ligand-binding properties. AST, also known as glutamate oxaloacetate transaminase (cytoplasmic AST1/GOT1 and mitochondrial AST2/GOT2), is a pyridoxal 5′-phosphate (PLP)-dependent homodimeric enzyme that catalyzes the reversible transamination of L-aspartate and α-ketoglutarate, supporting amino acid metabolism, the urea cycle, gluconeogenesis, and energy production. Depending on the literature source, CASPAT may also be discussed as Aspartate Aminotransferase + FABP-1 and Glutamate oxaloacetate transaminase 1.

Reported cellular context includes cytoplasm, cell membrane, membrane, and mitochondrion, which can matter when signal is compared across treatments or changing cell states. Following CASPAT across matched perturbations can help separate abundance effects from shifts in localization, complex assembly, or pathway state. In practice, this target is often considered at the family or isoform-group level, so experimental interpretation benefits from matched controls and clear comparison logic.

Research Context

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