Wilms Tumor Protein Antibody

About the Target

Wilms Tumor Protein (WT1) is a transcription factor encoded by the WT1 gene on chromosome 11p13. It binds DNA through four zinc fingers, specifically to the consensus sequence 5′-GCGGGGGCG-3′, similar to EGR1. WT1 functions in transcriptional regulation and post-transcriptional roles via RNA interactions, playing crucial roles in the development and homeostasis of gonads, adrenal glands, kidneys, heart, and diaphragm, where it is involved in MET and EMT processes. Depending on the literature source, WT1 may also be discussed as Wilms Tumor Protein.

Reported cellular context includes nucleus and cytoplasm, which can matter when signal is compared across treatments or changing cell states. Following WT1 across matched perturbations can help separate abundance effects from shifts in localization, complex assembly, or pathway state.

Research Context

WT1 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 and cytoplasm, 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 nucleus and cytoplasm across matched conditions
• 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 WT1. 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 WT1 reflect biology rather than handling. When interpreting WT1, 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 WT1 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.