Phospho-MARCKS (Ser158) Antibody

About the Target

PRKCSL is a target of interest in many antibody-based workflows. MARCKS (myristoylated alanine-rich C kinase substrate) is a ubiquitously expressed, evolutionarily conserved, natively unfolded protein and a major substrate of conventional and novel PKC isoforms. Structurally, it contains three conserved domains: an N-terminal myristoylation site (for membrane anchoring), a central lysine-rich effector domain (ED; aa 151-175) that binds actin, Ca²⁺/calmodulin, and PIP₂, and the MH2 domain of unknown function. Depending on the literature source, PRKCSL may also be discussed as Phospho-MARCKS (Ser158) and MACS.

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

Research Context

PRKCSL is commonly interpreted in the context of developmental biology 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, cytoplasm, and cytoskeleton, 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, cytoplasm, and cytoskeleton across matched conditions
• stage-dependent patterns during differentiation, morphogenesis, or lineage commitment
• signal-dependent shifts after ligand, inhibitor, or growth-factor perturbation
• differences between total target abundance and site-specific regulation when modified forms are compared

Variant Considerations

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