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GENERAL INFORMATIONi
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.
Number of protein-coding transcribed from this gene as defined by Ensembl.
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HUMAN PROTEIN ATLAS INFORMATIONi
Summary of RNA expression and protein localization based on data generated within the Human Protein Atlas project.
Summaryi
Show complete data for human cells assay. The location(s) are highlighted in the illustration on the right.
RNA cell specificityi
The cell lines in the Human Protein Atlas have been analyzed by RNA-seq to estimate the transcript abundance of each protein-coding gene. The RNA-seq data was then used to classify all genes according to their cell line-specific expression into one of six different categories, defined based on the total set of all NX values in all analyzed cell lines.
Classification of genes according to distribution of their RNA expression among the cell lines within the HPA. The categories include: detected in all, detected in many, detected in some, detected in single and not detected.
Protein evidence scores are generated from several independent sources and are classified as evidence at i) protein level, ii) transcript level, iii) no evidence, or iv) not available.
Evidence at protein level
Main locationi
The main location is characterized by presence in all tested cell lines and/or increased intensity compared to other locations. It is highlighted in the illustration to the right. If available, links to overrepresentation analyses in Reactome, a free, open-source, curated and peer reviewed biological pathway database, are provided. An analysis is done for the corresponding gene set of the proteome localizing to the main and additional locations of the protein on this page, respectively.
Not available
DATA RELIABILITYi
Reliability score for the manual annotation of subcellular localization of the protein(s) and antibodies used for this assay.
A reliability score is set for all genes and indicates the level of reliability of the analyzed protein expression pattern based on available protein/RNA/gene characterization data. The reliability of the annotated protein expression data is also scored depending on similarity in immunostaining patterns and consistency with available experimental gene/protein characterization data in the UniProtKB/Swiss-Prot database.
Below is an overview of RNA expression data generated in the HPA project. The analyzed cell lines are divided into 12 color-coded groups according to the organ they were obtained from. By clicking the toolbars in the top right corner it is possible to sort the cell lines in the chart by different criteria: the organ and the origin that the cell line was obtained from, the category of the cell line according to cellosaurus, alphabetically or by descending RNA expression. Detailed information about a specific cell line can be accessed by hovering over the corresponding bar in the chart. The RNA-sequencing results generated in the HPA are reported as normalized NX values. In the Human Protein Atlas a NX value of 1.0 is defined as a threshhold for expression of the corresponding protein.
The cell lines in the Human Protein Atlas have been analyzed by RNA-seq to estimate the transcript abundance of each protein-coding gene. The RNA-seq data was then used to classify all genes according to their cell line-specific expression into one of six different categories, defined based on the total set of all NX values in all analyzed cell lines.
The Human Protein Atlas project is funded
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