Nucleolin Antibody

About the Target

C23 is a target of interest in many antibody-based workflows. Nucleolin (NCL) is a multifunctional protein found in different parts of eukaryotic cells, including the nucleoplasm, nucleolus, cytoplasm, and plasma membrane. It consists of approximately 700 amino acids and contains two low-complexity, intrinsically disordered domains (IDDs) located at both the N-terminal and C-terminal regions. Its main functions include regulating ribosome biogenesis and the synthesis of ribosomal RNA (rRNA). Depending on the literature source, C23 may also be discussed as Nucleolin.

Reported cellular context includes cytoplasm and nucleus, which can matter when signal is compared across treatments or changing cell states. Following C23 across matched perturbations can help separate abundance effects from shifts in localization, complex assembly, or pathway state.

Research Context

C23 is commonly interpreted in the context of neuroscience, cardiovascular, and epigenetics 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
• changes linked to vascular, contractile, or hemodynamic cell-state cues
• links between target behavior and transcriptional or chromatin-state changes

Variant Considerations

If your project spans exploratory questions, the regular version offers a balanced option for establishing baseline signal behavior for C23. 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 C23 reflect biology rather than handling. When interpreting C23, 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 C23 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.