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The primary data page shows the detailed antibody staining in 76 different cell types for each analyzed antibody. In addition, for each cell type, a knowledge-based annotated protein expression score based on all analyzed antibodies is displayed furthest to the right. The images and annotations can be accessed by clicking on the tissue name or score bar. More information can be found in Assays & Annotation.
The tissues and cell types can be ordered by organ, cell type or alphabetically. If ordered by organ, the tissues are presented in groups according to functional features. If ordered by cell type, the cells are presented in groups related to origin.
This score describes the level of antibody staining observed in the annotated cell types as not detected (n), low (l), medium (m) or high (h). It is based on the staining intensity and fraction of stained cells. The images and annotations can be accessed by clicking on the tissue name or score bar. More information can be found in Assays & Annotation.
This score describes a knowledge-based best estimate of the protein expression in the annotated cell types as not detected (n), low (l), medium (m) or high (h). It is a result of stringent evaluation of immunohistochemical staining pattern, RNA data from internal and external sources and available protein/gene characterization data. More information can be found in Assays & Annotation.
Summarizing texts describe the staining pattern for each antibody based on staining intensity, fraction of stained cells and subcellular localization. More information can be found in Assays & Annotation.
HPA010806
Most normal cells showed granular cytoplasmic staining with moderate to strong intensity. Squamous epithelium showed positivity in the superficial layers only while lymphoid cells were mainly positive in the follicles. The CNS and pancreas was in general weakly stained or negative.
HPA010807
Strong granular staining was observed in the cytoplasm of most normal cells. Squamous epithelia, the CNS and muscle cells were negative.
The Human Protein Atlas project is funded
