ATXN7 protein expression summary - The Human Protein Atlas

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ATXN7

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STRUCT & INT

ATXN7

ATXN7 INFORMATION
Proteinⁱ Full gene name according to HGNC.	Ataxin 7
Gene nameⁱ Official gene symbol, which is typically a short form of the gene name, according to HGNC.	ATXN7 (ADCAII, OPCA3, SCA7, SGF73)
Protein classⁱ Assigned HPA protein class(es) for the encoded protein(s).	Disease related genes Human disease related genes Plasma proteins
Protein evidence	Evidence at protein level (all genes)
Number of transcriptsⁱ Number of protein-coding transcripts from the gene as defined by Ensembl.	7
Protein interactions	Interacting with 9 proteins

PROTEIN EXPRESSION AND LOCALIZATION
Tissue profileⁱ A summary of the overall protein expression profile across the analyzed normal tissues based on knowledge-based annotation, presented in the Tissue resource. "Estimation of protein expression could not be performed. View primary data." is shown for genes where available RNA-seq and gene/protein characterization data in combination with immunohistochemistry data has been evaluated as not sufficient to yield a reliable estimation of the protein expression profile.	Not available
Subcellular locationⁱ Main subcellular location based on data generated in the subcellular section of the Human Protein Atlas.	Localized to the Nucleoplasm, Cytosol
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.	Intracellular

TISSUE RNA EXPRESSION
Tissue specificityⁱ The RNA specificity category is based on normalized mRNA expression levels in the consensus dataset, 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.	Low tissue specificity
Tissue expression clusterⁱ The RNA data was used to cluster genes according to their expression across tissues. 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.	Non-specific - Transcription (mainly)
Brain specificityⁱ 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	Low human brain regional specificity
Brain expression clusterⁱ The RNA data was used to cluster genes according to their expression across tissues. 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.	Non-specific - mRNA splicing & Cell cycle (mainly)

CELL TYPE RNA EXPRESSION
Single cell type specificityⁱ The RNA specificity category is based on mRNA expression levels in the analyzed cell types based on scRNA-seq data from normal tissues. The categories include: cell type enriched, group enriched, cell type enhanced, low cell type specificity and not detected.	Low cell type specificity
Single cell type expression clusterⁱ 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.	NK-cells & T-cells - Immune system & Transcription (mainly)
Tissue cell type classificationⁱ Genes can have enriched specificity in different cell types in one or several tissues, or be enriched in a core cell type that appears in many different tissues.	Cell type enriched (Skin - Keratinocyte (other), Testis - Early spermatids)
Immune cell specificityⁱ 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.	Immune cell enhanced (basophil)
Immune cell expression clusterⁱ 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.	Non-specific - Vesicular transport (mainly)

CANCER & CELL LINES
Prognostic summary	ATXN7 is a prognostic marker in Head and neck squamous cell carcinoma
Cancer specificityⁱ Specificity of RNA expression in 17 cancer types is categorized as either cancer enriched, group enriched, cancer enhanced, low cancer specificity and not detected.	Low cancer specificity
Cell line expression clusterⁱ The RNA data was used to cluster genes according to their expression across cell lines. 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.	Non-specific - Basic cellular processes (mainly)
Cell line specificityⁱ RNA specificity category based on RNA sequencing data from cancer cell lines in the Human Protein Atlas grouped according to type of cancer. Genes are classified into six different categories (enriched, group enriched, enhanced, low specificity and not detected) according to their RNA expression levels across the panel of cell lines.	Low cancer specificity

PROTEINS IN BLOOD
Detected in blood by immunoassayⁱ The blood-based immunoassay category applies to actively secreted proteins and is based on plasma or serum protein concentrations established with enzyme-linked immunosorbent assays, compiled from a literature search. The categories include: detected and not detected, where detection refers to a concentration found in the literature search.	No (not applicable)
Detected in blood by mass spectrometryⁱ Detection or not of the gene in blood, based on spectral count estimations from a publicly available mass spectrometry-based plasma proteomics data set obtained from the PeptideAtlas.	No
Proximity extension assayⁱ Detectibility in blood, based on proximity extension assays (Olink) for a longitudinal wellness study covering 76 individuals with six visits during two years. Read more	Data available (Low detectability)

PROTEIN FUNCTION
Protein function (UniProt)ⁱ Useful information about the protein provided by UniProt.	Acts as a component of the STAGA transcription coactivator-HAT complex 1, 2. Mediates the interaction of STAGA complex with the CRX and is involved in CRX-dependent gene activation 3, 4. Necessary for microtubule cytoskeleton stabilization 5.... show less
Biological process (UniProt)ⁱ Keywords assigned by UniProt to proteins because they are involved in a particular biological process.	Transcription, Transcription regulation
Gene summary (Entrez)ⁱ Useful information about the gene from Entrez	The autosomal dominant cerebellar ataxias (ADCA) are a heterogeneous group of neurodegenerative disorders characterized by progressive degeneration of the cerebellum, brain stem and spinal cord. Clinically, ADCA has been divided into three groups: ADCA types I-III. ADCAI is genetically heterogeneous, with five genetic loci, designated spinocerebellar ataxia (SCA) 1, 2, 3, 4 and 6, being assigned to five different chromosomes. ADCAII, which always presents with retinal degeneration (SCA7), and ADCAIII often referred to as the 'pure' cerebellar syndrome (SCA5), are most likely homogeneous disorders. Several SCA genes have been cloned and shown to contain CAG repeats in their coding regions. ADCA is caused by the expansion of the CAG repeats, producing an elongated polyglutamine tract in the corresponding protein. The expanded repeats are variable in size and unstable, usually increasing in size when transmitted to successive generations. This locus has been mapped to chromosome 3, and it has been determined that the diseased allele associated with spinocerebellar ataxia-7 contains 37-306 CAG repeats (near the N-terminus), compared to 4-35 in the normal allele. The encoded protein is a component of the SPT3/TAF9/GCN5 acetyltransferase (STAGA) and TBP-free TAF-containing (TFTC) chromatin remodeling complexes, and it thus plays a role in transcriptional regulation. Alternative splicing results in multiple transcript variants. [provided by RefSeq, Jul 2016]... show less

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