CD147 Antibody

About the Target

BSG is a target of interest in many antibody-based workflows. A cluster of differentiation 147 (CD147) is a glycoprotein originally that regulates Matrix Metalloproteinase (MMP) through cell-matrix and cell-cell interaction. It is located on chromosome 19. CD147 interacts with caveolin-1, monocarboxylate transporter, CD98, and β1 integrin and promotes various processes such as cell metabolism, proliferation, migration, and invasion. Depending on the literature source, BSG may also be discussed as CD147 and Basigin/EMMPRIN.

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

Research Context

BSG is commonly interpreted in the context of cancer, metabolism, and cell signaling research, and readouts are often stronger when a study separates expression changes from compartment-level redistribution. When reported signal spans cell membrane, cell projection, 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 membrane, cell projection, and endoplasmic reticulum across matched conditions
• changes associated with proliferative state, oncogenic signaling, or treatment response
• responses linked to nutrient status, mitochondrial state, or metabolic rewiring
• signal-dependent shifts after ligand, inhibitor, or growth-factor perturbation

Variant Considerations

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