Phospho-Lamin A/C (Ser22) Antibody

About the Target

Phospho-Lamin A/C (Ser22) is a phosphorylated form of Lamin A/C, a type-V intermediate filament protein, encoded by the LMNA gene, which forms part of the nuclear lamina beneath the inner nuclear membrane. Lamin A/C, a tripartite is structured into a non-helical N-terminal head domain (containing Ser22), a central α-helical coiled-coil rod domain, and a C-terminal immunoglobulin-like fold. Depending on the literature source, LMNA may also be discussed as Phospho-Lamin A/C (Ser22) and Phospho Lamin A (Ser 22).

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

Research Context

LMNA is commonly interpreted in the context of cell cycle and cell signaling research, and readouts are often stronger when a study separates expression changes from compartment-level redistribution. When reported signal spans intermediate filament 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 intermediate filament and nucleus across matched conditions
• cell-cycle linked differences in abundance, timing, or compartmental enrichment
• 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 LMNA. 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 LMNA reflect biology rather than handling. When interpreting LMNA, 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 LMNA 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.