BCRP/ABCG2 Antibody

About the Target

Breast Cancer Resistance Protein (BCRP/ABCG2) is an ATP-binding cassette (ABC) transporter belonging to the G subfamily, encoded by the ABCG2 gene on chromosome 4q22. It is a half-transporter composed of a single nucleotide-binding domain (NBD) with conserved ATP-binding motifs (Walker A, Walker B, ABC signature) and a transmembrane domain (TMD) with six α-helices. Depending on the literature source, ABCG2 may also be discussed as BCRP/ABCG2 and CD338.

Reported cellular context includes cell membrane, membrane, and mitochondrion, which can matter when signal is compared across treatments or changing cell states. Following ABCG2 across matched perturbations can help separate abundance effects from shifts in localization, complex assembly, or pathway state.

Research Context

ABCG2 is commonly interpreted in the context of cancer and metabolism research, and readouts are often stronger when a study separates expression changes from compartment-level redistribution. When reported signal spans cell membrane, membrane, and mitochondrion, 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, membrane, and mitochondrion across matched conditions
• changes associated with proliferative state, oncogenic signaling, or treatment response
• responses linked to nutrient status, mitochondrial state, or metabolic rewiring
• 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 ABCG2. 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 ABCG2 reflect biology rather than handling. When interpreting ABCG2, 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 ABCG2 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.