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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.
Human gene namei
Official gene symbol, which is typically a short form of the gene name, according to HGNC.
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 internal antibody ID for the antibody/antibodies available for this specific target, click link for more antibody information.
No antibodies in assay
HUMAN PROTEIN ATLAS INFORMATION
Tissue specificityi
The RNA specificity category is based on mRNA expression levels in the consensus dataset which is calculated from the RNA expression levels in samples from HPA and GTEX. The categories include: tissue enriched, group enriched, tissue enhanced, low tissue specificity and not detected.
The regional specificity category is based on mRNA expression levels in the analysed brain samples, grouped into 13 main brain regions and calculated for the three different species. All brain expression profiles are based on data from HPA. The specificity categories include: regionally enriched, group enriched, regionally enhanced, low regional specificity and not detected. The classification rules are the same used for the tissue specificity category.
The regional distribution category is based on mRNA expression detected above cut off or not in the analysed brain samples, grouped into 13 main brain regions and calculated for the three different species. Brain expression for all species is based on data from HPA. The distribution categories include: detected in all, detected in many, detected in some, detected in single and not detected. The classification rules are the same used for the tissue distribution category.
Normalized RNA expression levels (nTPM) shown for the 13 brain regions. Color coding is based on brain region and the bar shows the highest expression among the subregions included. To access sample data, click on region name or bar.
GTEx dataset RNA-seq tissue data generated by the Genotype-Tissue Expression (GTEx) project is reported as mean nTPM, corresponding to mean values of the different individual samples for respective subregion. Highest expression among the subregions represents the brain region. To access sample data, click on region name or bar.
FANTOM5 dataset Tissue data for RNA expression obtained through Cap Analysis of Gene Expression (CAGE) generated by the FANTOM5 project are reported as Scaled Tags Per Million. To access sample data, click on region name or bar.
HPA Pig dataset HPA RNA-seq tissue data is reported as mean nTPM (normalized expression) for each of the brain regions analyzed in pig. The detailed pages (reached when clicking a bar or regional name) show nTPM values at the individual sample level. To access sample data, click on region name or bar.
The pig brain transcriptomics project is a collaborative project between human protein atlas and the Lars Bolund institute of regenerative Medicine (Dr. Yonglun Luo), BGI-Qingdao, China.
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The Human Protein Atlas project is funded
