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General description of the gene and encoded protein(s) using information from HGNC and Ensembl, as well as predictions made as well as predictions made by the Human Protein Atlas project.
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 analyzed samples based on a combination of data from HPA, GTEX and FANTOM5. The categories include: tissue enriched, group enriched, tissue enhanced, low tissue specificity and not detected. The Tissue classification is based on 37 human tissue types, where brain is represented by the highest expression value among the human brain regions (including spinal cord and corpus callosum that is excluded from the regional classification based on 10 main brain regions). The combination of tissue and regional classification can be found here
The regional specificity category is based on mRNA expression levels in the analyzed brain samples, grouped into 10 main brain regions and calculated for the three different species. The human brain expression profile is based on a combination of data from GTEX and FANTOM5. 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 analyzed brain samples, grouped into 10 main brain regions and calculated for the three different species. The human brain expression is based on a combination of data from GTEX and FANTOM5. 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.
GTEx dataset RNA-seq tissue data generated by the Genotype-Tissue Expression (GTEx) project is reported as mean pTPM (protein-coding transcripts per million), 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.
HPA Pig dataset HPA RNA-seq tissue data is reported as mean NX (normalized expression) for the 10 brain regions. The NX calculation is based on pTPM (protein-coding transcripts per million) of the individual samples, avaliable at the detaile pages (reached when clicking a bar or regional name). 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.
HPA Mouse dataset HPA RNA-seq tissue data is reported as mean NX (normalized expression) for the 10 brain regions. The NX calculation is based on pTPM (protein-coding transcripts per million) of the individual samples, avaliable at the detaile pages (reached when clicking a bar or regional name). To access sample data, click on region name or bar.
The Human Protein Atlas project is funded
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