LYRIC/AEG1 Antibody

About the Target

AEG1 is a target of interest in many antibody-based workflows. Astrocyte elevated gene-1 (AEG-1), also known as MTDH (metadherin) or LYRIC, is a well-established oncogene. The human AEG-1 gene is located on Chromosome 8q22 and consists of 12 exons and 11 introns. It is a highly basic protein with a transmembrane domain and multiple nuclear localization signals. Depending on the literature source, AEG1 may also be discussed as LYRIC/AEG1 and Lyric/Metadherin.

Reported cellular context includes cell junction, cytoplasm, endoplasmic reticulum, and membrane, which can matter when signal is compared across treatments or changing cell states. Following AEG1 across matched perturbations can help separate abundance effects from shifts in localization, complex assembly, or pathway state.

Research Context

AEG1 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 cell junction, cytoplasm, and endoplasmic reticulum, 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 cell junction, cytoplasm, and endoplasmic reticulum across matched conditions
• 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 AEG1. 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 AEG1 reflect biology rather than handling. When interpreting AEG1, 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 AEG1 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.