Asparagine Synthetase Antibody

About the Target

TS11 is a target of interest in many antibody-based workflows. Asparagine synthetase (ASNS) is an ATP-dependent enzyme that catalyzes the conversion of aspartate and glutamine into asparagine and glutamate. Structurally, human ASNS consists of 561 amino acids (~65 kDa) with two distinct catalytic domains: an N-terminal glutaminase domain (residues 1-208) responsible for glutamine hydrolysis and a C-terminal synthetase domain (residues 209-561) that activates aspartate and binds ATP and Mg²⁺. Depending on the literature source, TS11 may also be discussed as Asparagine Synthetase and ASNS; ASNSD; asparagine; asparagine synthetase; asparagine synthetase (glutamine-hydrolyzing); Asparagine synthetase [glutamine-hydrolyzing]; Cell cycle control protein TS11; Glutamine-dependent asparagine synthetase; TS11; TS11 cell cycle control protein.

Reported cellular context includes cytosol, which can matter when signal is compared across treatments or changing cell states. Following TS11 across matched perturbations can help separate abundance effects from shifts in localization, complex assembly, or pathway state.

Research Context

TS11 is commonly interpreted in the context of cancer, neuroscience, and metabolism research, and readouts are often stronger when a study separates expression changes from compartment-level redistribution. When reported signal spans cytosol, 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 cytosol relative to the broader cellular background
• changes associated with proliferative state, oncogenic signaling, or treatment response
• compartment-specific patterns relevant to neuronal polarity, transport, or synaptic context
• responses linked to nutrient status, mitochondrial state, or metabolic rewiring

Variant Considerations

If your project spans exploratory questions, the regular version offers a balanced option for establishing baseline signal behavior for TS11. 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 TS11 reflect biology rather than handling. When interpreting TS11, 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 TS11 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.