SMARCC1/BAF155 Antibody

About the Target

The mSWI/SNF, also known as BAF complex, is an ATP-dependent chromatin remodeling system built from 16 protein subunits encoded by 31 different genes. These subunits assemble in various combinations to form distinct complexes with specialized roles in key biological processes. One universally present core component is BAF155 (SMARCC1), which can exist as a homodimer or as a heterodimer with its paralog BAF170 (SMARCC2). Depending on the literature source, SMARCC1 may also be discussed as SMARCC1/BAF155 and BAF155.

Reported cellular context includes cytoplasm and nucleus, which can matter when signal is compared across treatments or changing cell states. Following SMARCC1 across matched perturbations can help separate abundance effects from shifts in localization, complex assembly, or pathway state.

Research Context

SMARCC1 is commonly interpreted in the context of neuroscience, developmental biology, and stem cell biology research, and readouts are often stronger when a study separates expression changes from compartment-level redistribution. When reported signal spans cytoplasm 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 cytoplasm and nucleus across matched conditions
• compartment-specific patterns relevant to neuronal polarity, transport, or synaptic context
• stage-dependent patterns during differentiation, morphogenesis, or lineage commitment
• state transitions between self-renewal, priming, and differentiation

Variant Considerations

If your project spans exploratory questions, the regular version offers a balanced option for establishing baseline signal behavior for SMARCC1. 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 SMARCC1 reflect biology rather than handling. When interpreting SMARCC1, 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 SMARCC1 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.