SR-2C Antibody

About the Target

HTR2C is a target of interest in many antibody-based workflows. SR-2C (also known as 5-HT2C receptor or serotonin receptor 2C) is a G protein-coupled receptor predominantly found in the central nervous system, with high concentrations in the choroid plexus, hippocampus, amygdala, and hypothalamus. It is composed of seven transmembrane α-helices, an extracellular N-terminus, and an intracellular C-terminus, and it can form homodimers at the cell surface. Depending on the literature source, HTR2C may also be discussed as SR-2C and 5-hydroxytryptamine receptor 2C; 5-HT-2C; 5-HT2C; 5-HTR2C; 5-hydroxytryptamine receptor 1C; Serotonin receptor 2C; HTR1C; HTR2C; 5-HT-1C; 5-HT1C.

Reported cellular context includes cell membrane and membrane, which can matter when signal is compared across treatments or changing cell states. Following HTR2C across matched perturbations can help separate abundance effects from shifts in localization, complex assembly, or pathway state.

Research Context

HTR2C is commonly interpreted in the context of neuroscience, endocrinology, 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 and membrane, 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 and membrane across matched conditions
• compartment-specific patterns relevant to neuronal polarity, transport, or synaptic context
• responses to hormone-dependent signaling or endocrine feedback context
• signal-dependent shifts after ligand, inhibitor, or growth-factor perturbation

Variant Considerations

If your project spans exploratory questions, the regular version offers a balanced option for establishing baseline signal behavior for HTR2C. 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 HTR2C reflect biology rather than handling. When interpreting HTR2C, 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 HTR2C 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.