GIT1 protein expression summary - The Human Protein Atlas

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GIT1

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STRUCT & INT

GIT1

GIT1 INFORMATION
Proteinⁱ Full gene name according to HGNC.	GIT ArfGAP 1
Gene nameⁱ Official gene symbol, which is typically a short form of the gene name, according to HGNC.	GIT1
Protein classⁱ Assigned HPA protein class(es) for the encoded protein(s).	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.	9
Protein interactions	Interacting with 18 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.	General cytoplasmic expression.
Subcellular locationⁱ Main subcellular location based on data generated in the subcellular section of the Human Protein Atlas.	Localized to the Focal adhesion sites, Cytosol In addition localized to the Mitochondria
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.	Tissue enhanced (Brain)
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.	Brain & Testis - Signal transduction (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.	Neurons - Mixed function (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 (Early spermatids, Late spermatids)
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.	Adipocytes & Endothelial cells - Mixed function (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 (Adipose visceral - Endothelial cells, Lung - Endothelial cells, Testis - Early spermatids, Testis - Late 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.	Low immune cell specificity
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 - ATP binding (mainly)

CANCER & CELL LINES
Prognostic summary	GIT1 is a prognostic marker in Kidney renal clear cell carcinoma, Liver hepatocellular 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.	Breast cancer - Unknown function (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.	Yes
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 (High detectability)

PROTEIN FUNCTION
Protein function (UniProt)ⁱ Useful information about the protein provided by UniProt.	GTPase-activating protein for ADP ribosylation factor family members, including ARF1. Multidomain scaffold protein that interacts with numerous proteins and therefore participates in many cellular functions, including receptor internalization, focal adhesion remodeling, and signaling by both G protein-coupled receptors and tyrosine kinase receptors (By similarity). Through PAK1 activation, positively regulates microtubule nucleation during interphase 1. Plays a role in the regulation of cytokinesis; for this function, may act in a pathway also involving ENTR1 and PTPN13 2. May promote cell motility both by regulating focal complex dynamics and by local activation of RAC1 3, 4. May act as scaffold for MAPK1/3 signal transduction in focal adhesions. Recruits MAPK1/3/ERK1/2 to focal adhesions after EGF stimulation via a Src-dependent pathway, hence stimulating cell migration 5. Plays a role in brain development and function. Involved in the regulation of spine density and synaptic plasticity that is required for processes involved in learning (By similarity). Plays an important role in dendritic spine morphogenesis and synapse formation 6, 7. In hippocampal neurons, recruits guanine nucleotide exchange factors (GEFs), such as ARHGEF7/beta-PIX, to the synaptic membrane. These in turn locally activate RAC1, which is an essential step for spine morphogenesis and synapse formation 8. May contribute to the organization of presynaptic active zones through oligomerization and formation of a Piccolo/PCLO-based protein network, which includes ARHGEF7/beta-PIX and FAK1 (By similarity). In neurons, through its interaction with liprin-alpha family members, may be required for AMPA receptor (GRIA2/3) proper targeting to the cell membrane (By similarity). In complex with GABA(A) receptors and ARHGEF7, plays a crucial role in regulating GABA(A) receptor synaptic stability, maintaining GPHN/gephyrin scaffolds and hence GABAergic inhibitory synaptic transmission, by locally coordinating RAC1 and PAK1 downstream effector activity, leading to F-actin stabilization 9. May also be important for RAC1 downstream signaling pathway through PAK3 and regulation of neuronal inhibitory transmission at presynaptic input (By similarity). Required for successful bone regeneration during fracture healing (By similarity). The function in intramembranous ossification may, at least partly, exerted by macrophages in which GIT1 is a key negative regulator of redox homeostasis, IL1B production, and glycolysis, acting through the ERK1/2/NRF2/NFE2L2 axis (By similarity). May play a role in angiogenesis during fracture healing (By similarity). In this process, may regulate activation of the canonical NF-kappa-B signal in bone mesenchymal stem cells by enhancing the interaction between NEMO and 'Lys-63'-ubiquitinated RIPK1/RIP1, eventually leading to enhanced production of VEGFA and others angiogenic factors 10. Essential for VEGF signaling through the activation of phospholipase C-gamma and ERK1/2, hence may control endothelial cell proliferation and angiogenesis 11.... show less
Molecular function (UniProt)ⁱ Keywords assigned by UniProt to proteins due to their particular molecular function.	GTPase activation
Ligand (UniProt)ⁱ Keywords assigned by UniProt to proteins because they bind, are associated with, or whose activity is dependent of some molecule.	Metal-binding, Zinc
Gene summary (Entrez)ⁱ Useful information about the gene from Entrez	Enables gamma-tubulin binding activity. Involved in positive regulation of microtubule nucleation and regulation of cytokinesis. Located in several cellular components, including focal adhesion; microtubule cytoskeleton; and mitochondrion. Implicated in attention deficit hyperactivity disorder. Biomarker of Huntington's disease. [provided by Alliance of Genome Resources, Apr 2022]... show less

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