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General description of the gene and the encoded protein(s) using information from HGNC and Ensembl, as well as predictions made by the Human Protein Atlas project.
Gene namei
Official gene symbol, which is typically a short form of the gene name, according to HGNC.
Serine peptidase inhibitor Kazal type 14 (putative)
Predicted locationi
All transcripts of all genes have been analyzed regarding the location(s) of corresponding protein based on prediction methods for signal peptides and transmembrane regions.
Genes with at least one transcript predicted to encode a secreted protein, according to prediction methods or to UniProt location data, have been further annotated and classified with the aim to determine if the corresponding protein(s) are secreted or actually retained in intracellular locations or membrane-attached.
Remaining genes, with no transcript predicted to encode a secreted protein, will be assigned the prediction-based location(s).
The annotated location overrules the predicted location, so that a gene encoding a predicted secreted protein that has been annotated as intracellular will have intracellular as the final location.
The RNA data is used to cluster genes according to their expression across immune cells. Clusters contain genes that have similar expression patterns, and each cluster has been manually annotated to describe common features in terms of function and specificity.
The RNA specificity category is based on mRNA expression levels in the analyzed samples based on data from HPA. The categories include: cell type enriched, group enriched, cell type enhanced, low cell type specificity and not detected.
The RNA distribution category is based on mRNA expression levels in the analyzed samples based on data from HPA. The categories include: detected in all, detected in many, detected in some, detected in single and not detected.
The RNA specificity category is based on mRNA expression levels in the analyzed samples based on data from HPA. The categories include: lineage enriched, group enriched, lineage enhanced, low lineage specificity and not detected. Lineages include B-cells, T-cells, NK-cells, monocytes, granulocytes and dendritic cells.
The RNA data was used to cluster genes according to their expression across single cell types. Clusters contain genes that have similar expression patterns, and each cluster has been manually annotated to describe common features in terms of function and specificity.
Blood cell type expression overview shows RNA-seq data from three different sources: Internally generated Human Protein Atlas (HPA) data, as well as data generated by (Monaco et al) and (Schmiedel et al). Color-coding is based on blood cell type lineages, including B-cells, T-cells, NK-cells, monocytes, granulocytes and dendritic cells as well as total PBMC. To access sample data, click on tissue name or bar.
HPA dataseti
The resulting transcript expression values calculated as nTPM, resulting from the internal normalization pipeline for 18 immune cell types and total peripheral blood mononuclear cells (PBMC).
Immune cell type specificity: Not detected in immune cells
Monaco dataseti
The transcript expression values (nTPM) resulting from the internal normalization pipeline are visualized for 29 blood cell types and total peripheral blood mononuclear cells (PBMC) from Monaco et al.
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The Human Protein Atlas project is funded
