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MAPK13
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  • MAPK13
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 Rectum Duodenum Small intestine 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 Thymus Lymph node Appendix Tonsil Spleen
MAPK13 INFORMATION
Proteini

Full gene name according to HGNC.

Mitogen-activated protein kinase 13
Gene namei

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

MAPK13 (p38delta, PRKM13, SAPK4)
Protein classi

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

Enzymes
Protein evidence Evidence at protein level (all genes)
Number of transcriptsi

Number of protein-coding transcripts from the gene as defined by Ensembl.

3
Protein interactions Interacting with 1 protein
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 nuclear and cytoplasmic expression.
Subcellular locationi

Main subcellular location based on data generated in the subcellular section of the Human Protein Atlas.

Localized to the Nucleoplasm, Nucleoli, Nucleoli rim, 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.

Tissue enhanced (Esophagus)
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.

Squamous epithelium - Keratinization (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 (Late spermatids, Proximal enterocytes, Distal enterocytes)
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.

Breast glandular cells - Lactation (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), Spleen - Neutrophils, Stomach - Gastric mucous cells, 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.

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 - Cell proliferation (mainly)
CANCER & CELL LINES
Prognostic summary MAPK13 is a prognostic marker in Kidney renal clear 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.

Squamous epithelial cells - Keratinization (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.

Serine/threonine kinase which acts as an essential component of the MAP kinase signal transduction pathway. MAPK13 is one of the four p38 MAPKs which play an important role in the cascades of cellular responses evoked by extracellular stimuli such as pro-inflammatory cytokines or physical stress leading to direct activation of transcription factors such as ELK1 and ATF2. Accordingly, p38 MAPKs phosphorylate a broad range of proteins and it has been estimated that they may have approximately 200 to 300 substrates each. MAPK13 is one of the less studied p38 MAPK isoforms. Some of the targets are downstream kinases such as MAPKAPK2, which are activated through phosphorylation and further phosphorylate additional targets. Plays a role in the regulation of protein translation by phosphorylating and inactivating EEF2K. Involved in cytoskeletal remodeling through phosphorylation of MAPT and STMN1. Mediates UV irradiation induced up-regulation of the gene expression of CXCL14. Plays an important role in the regulation of epidermal keratinocyte differentiation, apoptosis and skin tumor development. Phosphorylates the transcriptional activator MYB in response to stress which leads to rapid MYB degradation via a proteasome-dependent pathway. MAPK13 also phosphorylates and down-regulates PRKD1 during regulation of insulin secretion in pancreatic beta cells.... show less
Molecular function (UniProt)i

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

Kinase, Serine/threonine-protein kinase, Transferase
Biological process (UniProt)i

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

Cell cycle, Stress response, Transcription, Transcription regulation
Ligand (UniProt)i

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

ATP-binding, Nucleotide-binding
Gene summary (Entrez)i

Useful information about the gene from Entrez

This gene encodes a member of the mitogen-activated protein (MAP) kinase family. MAP kinases act as an integration point for multiple biochemical signals, and are involved in a wide variety of cellular processes such as proliferation, differentiation, transcription regulation and development. The encoded protein is a p38 MAP kinase and is activated by proinflammatory cytokines and cellular stress. Substrates of the encoded protein include the transcription factor ATF2 and the microtubule dynamics regulator stathmin. Alternatively spliced transcript variants have been observed for this gene. [provided by RefSeq, Jul 2012]... show less

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