Human Protein Atlas

These data types provide complementary evidence about protein biology. Immunohistochemistry and immunofluorescence show where proteins appear within tissues and cells, while transcriptomic and proteomic measurements add molecular information about expression. Comparing these signals helps investigators relate protein abundance to tissue architecture and cellular function rather than interpreting a single measurement in isolation.

Localization places an expression signal within its biological context. A protein pattern can be evaluated in relation to tissue structure, individual cells, and subcellular compartments, helping investigators distinguish broad tissue-level abundance from cell-specific or compartment-specific distribution. This contextual information supports more precise interpretation of protein function and its possible relevance to disease processes.

Cancer heterogeneity becomes apparent when protein patterns differ across tumors, tissues, or cellular contexts. Comparing these distributions with corresponding normal tissue profiles can expose variation in abundance or localization rather than treating cancer as a uniform state. Such differences may help investigators investigate disease mechanisms and identify protein signatures associated with distinct tumor characteristics.

A practical workflow begins by selecting proteins or molecular findings of interest, then examining their expression patterns across tumor and normal tissues. Researchers can review localization and abundance data alongside transcriptomic or proteomic evidence, identify patterns worth pursuing, and prioritize candidates for experimental validation. This sequence connects atlas-based observation with focused laboratory investigation.

Researchers can compare candidate proteins between tumors and normal tissues and examine whether their patterns are sufficiently distinct to warrant further study. Tissue distribution, cellular localization, and supporting molecular measurements provide several criteria for prioritization. Candidates with informative or clinically relevant protein signatures can then be selected for experimental validation rather than investigated solely on initial molecular observations.

The atlas helps investigators examine whether a protein shows disease-relevant expression and where it occurs within tissues or cells. These observations can connect a candidate target with tissue architecture, cellular function, or tumor-associated patterns. The resulting evidence supports target prioritization and guides subsequent studies designed to test biological relevance or therapeutic potential experimentally.