CITED2 Antibody

About the Target

CITED2 is a highly conserved transcriptional co-regulator that lacks a DNA-binding domain and functions by interacting directly with a broad range of transcription factors and co-factors, including TFAP2, SMAD2/3, PPARγ, oestrogen receptor, MYC, Nucleolin, and the co-activators p300/CBP. It is characterized by a conserved C-terminal domain (CR2), which is crucial for its transcriptional regulatory activity and enables high-affinity interaction with the CH1 domain of p300/CBP. Depending on the literature source, CITED2 may also be discussed as MRG1 and Cbp/p300-interacting transactivator 2.

Reported cellular context includes nucleus, which can matter when signal is compared across treatments or changing cell states. Following CITED2 across matched perturbations can help separate abundance effects from shifts in localization, complex assembly, or pathway state.

Research Context

CITED2 is commonly interpreted in the context of cancer, 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 nucleus, a defined reference condition can make comparisons more interpretable across perturbations, passages, or replicate sets.

Consider these angles when interpreting target-level changes:

• signal enrichment within nucleus relative to the broader cellular background
• changes associated with proliferative state, oncogenic signaling, or treatment response
• stage-dependent patterns during differentiation, morphogenesis, or lineage commitment
• 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 CITED2. 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 CITED2 reflect biology rather than handling. When interpreting CITED2, 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 CITED2 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.