DLST Antibody

About the Target

The α-ketoglutarate dehydrogenase complex (α-KGDHc) is a key rate-limiting enzyme in the tricarboxylic acid (TCA) cycle, operating within the mitochondrial matrix. This multi-enzyme complex consists of three primary subunits, one of which is dihydrolipoamide succinyltransferase (DLST), the central structural component. In humans, the DLST gene is located on chromosome 14 at region q24. Depending on the literature source, DLST may also be discussed as 2-oxoglutarate dehydrogenase complex component E2; dihydrolipoamide S-succinyltransferase E2 component of 2-oxo-glutarate complex; Dihydrolipoamide succinyltransferase component of 2-oxoglutarate dehydrogenase complex; Dihydrolipoyllysine-residue succinyltransferase component of 2-oxoglutarate dehydrogenase complex mitochondrial; DLST; DLTS; E2K; O.

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

Research Context

DLST is commonly interpreted in the context of metabolism and oxidative stress research, and readouts are often stronger when a study separates expression changes from compartment-level redistribution. When reported signal spans mitochondrion 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 mitochondrion and nucleus across matched conditions
• responses linked to nutrient status, mitochondrial state, or metabolic rewiring
• redox-associated shifts that may alter abundance, localization, or pathway coupling
• 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 DLST. 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 DLST reflect biology rather than handling. When interpreting DLST, 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 DLST 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.