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PARK7
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  • SUMMARY

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  • PARK7
PROTEIN SUMMARY GENE INFORMATION RNA DATA ANTIBODY DATA
Hippocampal formation Amygdala Basal ganglia Midbrain Spinal cord Cerebral cortex Cerebellum Hypothalamus Choroid plexus Retina Thyroid gland Parathyroid gland Adrenal gland Pituitary gland Lung Salivary gland Esophagus Tongue Stomach Duodenum Small intestine Rectum Colon Liver Gallbladder Pancreas Kidney Urinary bladder Testis Epididymis Prostate Seminal vesicle Vagina Breast Cervix Endometrium Fallopian tube Ovary Placenta Heart muscle Skeletal muscle Smooth muscle Adipose tissue Skin Bone marrow Spleen Appendix Thymus Tonsil Lymph node
PARK7 INFORMATION
Proteini

Full gene name according to HGNC.

Parkinsonism associated deglycase
Gene namei

Official gene symbol, which is typically a short form of the gene name, according to HGNC.

PARK7 (DJ-1, DJ1, GATD2)
Protein classi

Assigned HPA protein class(es) for the encoded protein(s).

Disease related genes
Enzymes
Human disease related genes
Plasma proteins
Potential drug targets
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 7 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 and nuclear 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 Nucleoplasm, Cytosol In addition localized to the Flagellar centriole, Mid piece
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 - Cellular respiration (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 - Metabolism (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.

Non-specific - Basic cellular processes (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 (Thyroid gland - Thyroid glandular cells)
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.

Plasmacytoid DCs - Unknown function (mainly)
CANCER & CELL LINES
Prognostic summary PARK7 is a prognostic marker in Kidney chromophobe, Kidney renal papillary cell carcinoma, Liver hepatocellular carcinoma, Rectum adenocarcinoma
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 - mRNA processing (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
Detected in blood by
proximity extension assayi

Detection or not of the gene in blood, based on proximity extension assays (Olink) for a longitudinal wellness study covering 76 individuals with three visits during two years.

Yes
PROTEIN FUNCTION
Protein function (UniProt)i

Useful information about the protein provided by UniProt.

Multifunctional protein with controversial molecular function which plays an important role in cell protection against oxidative stress and cell death acting as oxidative stress sensor and redox-sensitive chaperone and protease 1, 2, 3, 4, 5, 6, 7, 8. It is involved in neuroprotective mechanisms like the stabilization of NFE2L2 and PINK1 proteins, male fertility as a positive regulator of androgen signaling pathway as well as cell growth and transformation through, for instance, the modulation of NF-kappa-B signaling pathway 9, 10, 11, 12, 13, 14. Has been described as a protein and nucleotide deglycase that catalyzes the deglycation of the Maillard adducts formed between amino groups of proteins or nucleotides and reactive carbonyl groups of glyoxals 15, 16. But this function is rebuted by other works 17, 18. As a protein deglycase, repairs methylglyoxal- and glyoxal-glycated proteins, and releases repaired proteins and lactate or glycolate, respectively. Deglycates cysteine, arginine and lysine residues in proteins, and thus reactivates these proteins by reversing glycation by glyoxals. Acts on early glycation intermediates (hemithioacetals and aminocarbinols), preventing the formation of advanced glycation endproducts (AGE) that cause irreversible damage 19, 20, 21. Also functions as a nucleotide deglycase able to repair glycated guanine in the free nucleotide pool (GTP, GDP, GMP, dGTP) and in DNA and RNA. Is thus involved in a major nucleotide repair system named guanine glycation repair (GG repair), dedicated to reversing methylglyoxal and glyoxal damage via nucleotide sanitization and direct nucleic acid repair 22. Protects histones from adduction by methylglyoxal, controls the levels of methylglyoxal-derived argininine modifications on chromatin 23. Able to remove the glycations and restore histone 3, histone glycation disrupts both local and global chromatin architecture by altering histone-DNA interactions as well as histone acetylation and ubiquitination levels 24, 25. Displays a very low glyoxalase activity that may reflect its deglycase activity 26, 27, 28. Eliminates hydrogen peroxide and protects cells against hydrogen peroxide-induced cell death 29. Required for correct mitochondrial morphology and function as well as for autophagy of dysfunctional mitochondria 30, 31. Plays a role in regulating expression or stability of the mitochondrial uncoupling proteins SLC25A14 and SLC25A27 in dopaminergic neurons of the substantia nigra pars compacta and attenuates the oxidative stress induced by calcium entry into the neurons via L-type channels during pacemaking 32. Regulates astrocyte inflammatory responses, may modulate lipid rafts-dependent endocytosis in astrocytes and neuronal cells 33. In pancreatic islets, involved in the maintenance of mitochondrial reactive oxygen species (ROS) levels and glucose homeostasis in an age- and diet dependent manner. Protects pancreatic beta cells from cell death induced by inflammatory and cytotoxic setting (By similarity). Binds to a number of mRNAs containing multiple copies of GG or CC motifs and partially inhibits their translation but dissociates following oxidative stress 34. Metal-binding protein able to bind copper as well as toxic mercury ions, enhances the cell protection mechanism against induced metal toxicity 35. In macrophages, interacts with the NADPH oxidase subunit NCF1 to direct NADPH oxidase-dependent ROS production, and protects against sepsis (By similarity).... show less
Molecular function (UniProt)i

Keywords assigned by UniProt to proteins due to their particular molecular function.

Chaperone, Hydrolase, Protease, RNA-binding
Biological process (UniProt)i

Keywords assigned by UniProt to proteins because they are involved in a particular biological process.

Autophagy, DNA damage, DNA repair, Fertilization, Inflammatory response, Stress response
Ligand (UniProt)i

Keywords assigned by UniProt to proteins because they bind, are associated with, or whose activity is dependent of some molecule.

Copper
Gene summary (Entrez)i

Useful information about the gene from Entrez

The product of this gene belongs to the peptidase C56 family of proteins. It acts as a positive regulator of androgen receptor-dependent transcription. It may also function as a redox-sensitive chaperone, as a sensor for oxidative stress, and it apparently protects neurons against oxidative stress and cell death. Defects in this gene are the cause of autosomal recessive early-onset Parkinson disease 7. Two transcript variants encoding the same protein have been identified for this gene. [provided by RefSeq, Jul 2008]... show less

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