C9orf72 protein expression summary - The Human Protein Atlas

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C9orf72

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STRUCT & INT

C9orf72

C9orf72 INFORMATION
Proteinⁱ Full gene name according to HGNC.	C9orf72-SMCR8 complex subunit
Gene nameⁱ Official gene symbol, which is typically a short form of the gene name, according to HGNC.	C9orf72 (DENND9, DENNL72, MGC23980)
Protein classⁱ Assigned HPA protein class(es) for the encoded protein(s).	Disease related genes Human disease related genes
Protein evidence	Evidence at protein level (all genes)
Number of transcriptsⁱ Number of protein-coding transcripts from the gene as defined by Ensembl.	6
Protein interactions	Interacting with 4 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.	Cytoplasmic expression in most tissues.
Subcellular locationⁱ Main subcellular location based on data generated in the subcellular section of the Human Protein Atlas.	Localized to the Vesicles, Cytosol In addition localized to the Midbody ring
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.	Neuronal - 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 - Transcription (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.	Cell type enhanced (monocytes, Langerhans cells)
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.	Monocytes - Innate immune response (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.	No predicted cell type specificity
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.	Group enriched (intermediate monocyte, non-classical monocyte, neutrophil, classical monocyte, myeloid DC, 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.	Monocytes - Innate immune response (mainly)

CANCER & CELL LINES
Prognostic summary	C9orf72 is not prognostic
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 - Cell proliferation (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	Not available

PROTEIN FUNCTION
Protein function (UniProt)ⁱ Useful information about the protein provided by UniProt.	Component of the C9orf72-SMCR8 complex, a complex that has guanine nucleotide exchange factor (GEF) activity and regulates autophagy 1, 2, 3, 4, 5. In the complex, C9orf72 and SMCR8 probably constitute the catalytic subunits that promote the exchange of GDP to GTP, converting inactive GDP-bound RAB8A and RAB39B into their active GTP-bound form, thereby promoting autophagosome maturation 6. The C9orf72-SMCR8 complex also acts as a regulator of autophagy initiation by interacting with the ULK1/ATG1 kinase complex and modulating its protein kinase activity 7. As part of the C9orf72-SMCR8 complex, stimulates RAB8A and RAB11A GTPase activity in vitro 8. Positively regulates initiation of autophagy by regulating the RAB1A-dependent trafficking of the ULK1/ATG1 kinase complex to the phagophore which leads to autophagosome formation 9. Acts as a regulator of mTORC1 signaling by promoting phosphorylation of mTORC1 substrates 10. Plays a role in endosomal trafficking 11. May be involved in regulating the maturation of phagosomes to lysosomes (By similarity). Promotes the lysosomal localization and lysosome-mediated degradation of CARM1 which leads to inhibition of starvation-induced lipid metabolism (By similarity). Regulates actin dynamics in motor neurons by inhibiting the GTP-binding activity of ARF6, leading to ARF6 inactivation 12. This reduces the activity of the LIMK1 and LIMK2 kinases which are responsible for phosphorylation and inactivation of cofilin, leading to CFL1/cofilin activation 13. Positively regulates axon extension and axon growth cone size in spinal motor neurons 14. Required for SMCR8 protein expression and localization at pre- and post-synaptic compartments in the forebrain, also regulates protein abundance of RAB3A and GRIA1/GLUR1 in post-synaptic compartments in the forebrain and hippocampus (By similarity). Plays a role within the hematopoietic system in restricting inflammation and the development of autoimmunity (By similarity).... show less
Molecular function (UniProt)ⁱ Keywords assigned by UniProt to proteins due to their particular molecular function.	Guanine-nucleotide releasing factor
Biological process (UniProt)ⁱ Keywords assigned by UniProt to proteins because they are involved in a particular biological process.	Autophagy
Gene summary (Entrez)ⁱ Useful information about the gene from Entrez	The protein encoded by this gene plays an important role in the regulation of endosomal trafficking, and has been shown to interact with Rab proteins that are involved in autophagy and endocytic transport. Expansion of a GGGGCC repeat from 2-22 copies to 700-1600 copies in the intronic sequence between alternate 5' exons in transcripts from this gene is associated with 9p-linked ALS (amyotrophic lateral sclerosis) and FTD (frontotemporal dementia) (PMID: 21944778, 21944779). Studies suggest that hexanucleotide expansions could result in the selective stabilization of repeat-containing pre-mRNA, and the accumulation of insoluble dipeptide repeat protein aggregates that could be pathogenic in FTD-ALS patients (PMID: 23393093). Alternative splicing results in multiple transcript variants encoding different isoforms. [provided by RefSeq, Jul 2016]... show less

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