MAPK11 protein expression summary - The Human Protein Atlas

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MAPK11

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STRUCT & INT

MAPK11

MAPK11 INFORMATION
Proteinⁱ Full gene name according to HGNC.	Mitogen-activated protein kinase 11
Gene nameⁱ Official gene symbol, which is typically a short form of the gene name, according to HGNC.	MAPK11 (p38-2, p38Beta, PRKM11, SAPK2)
Protein classⁱ Assigned HPA protein class(es) for the encoded protein(s).	Enzymes FDA approved 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.	1
Protein interactions	Interacting with 3 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.	Ubiquitous cytoplasmic expression often in a granular pattern.
Subcellular locationⁱ Main subcellular location based on data generated in the subcellular section of the Human Protein Atlas.	Localized to the 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 (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 - Synaptic 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 (Adipocytes, Endothelial cells, Astrocytes, Excitatory neurons, Microglial 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.	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 (Colon - Endothelial cells, Liver - Vascular Endothelial cells, Minor Salivary Gland - Endothelial 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.	Not detected in immune cells
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.	Not detected - no cluster assigned

CANCER & CELL LINES
Prognostic summary	MAPK11 is a prognostic marker in Pancreatic 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.	Lymphoma - Inflammatory response (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
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.	No

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 1, 2, 3. MAPK11 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 4, 5, 6. Accordingly, p38 MAPKs phosphorylate a broad range of proteins and it has been estimated that they may have approximately 200 to 300 substrates each 7, 8, 9. MAPK11 functions are mostly redundant with those of MAPK14 10, 11, 12. Some of the targets are downstream kinases which are activated through phosphorylation and further phosphorylate additional targets 13, 14. RPS6KA5/MSK1 and RPS6KA4/MSK2 can directly phosphorylate and activate transcription factors such as CREB1, ATF1, the NF-kappa-B isoform RELA/NFKB3, STAT1 and STAT3, but can also phosphorylate histone H3 and the nucleosomal protein HMGN1 15. RPS6KA5/MSK1 and RPS6KA4/MSK2 play important roles in the rapid induction of immediate-early genes in response to stress or mitogenic stimuli, either by inducing chromatin remodeling or by recruiting the transcription machinery. On the other hand, two other kinase targets, MAPKAPK2/MK2 and MAPKAPK3/MK3, participate in the control of gene expression mostly at the post-transcriptional level, by phosphorylating ZFP36 (tristetraprolin) and ELAVL1, and by regulating EEF2K, which is important for the elongation of mRNA during translation. MKNK1/MNK1 and MKNK2/MNK2, two other kinases activated by p38 MAPKs, regulate protein synthesis by phosphorylating the initiation factor EIF4E2 16. In the cytoplasm, the p38 MAPK pathway is an important regulator of protein turnover. For example, CFLAR is an inhibitor of TNF-induced apoptosis whose proteasome-mediated degradation is regulated by p38 MAPK phosphorylation. Ectodomain shedding of transmembrane proteins is regulated by p38 MAPKs as well. In response to inflammatory stimuli, p38 MAPKs phosphorylate the membrane-associated metalloprotease ADAM17. Such phosphorylation is required for ADAM17-mediated ectodomain shedding of TGF-alpha family ligands, which results in the activation of EGFR signaling and cell proliferation. Additional examples of p38 MAPK substrates are the FGFR1. FGFR1 can be translocated from the extracellular space into the cytosol and nucleus of target cells, and regulates processes such as rRNA synthesis and cell growth. FGFR1 translocation requires p38 MAPK activation. In the nucleus, many transcription factors are phosphorylated and activated by p38 MAPKs in response to different stimuli. Classical examples include ATF1, ATF2, ATF6, ELK1, PTPRH, DDIT3, TP53/p53 and MEF2C and MEF2A 17, 18, 19. The p38 MAPKs are emerging as important modulators of gene expression by regulating chromatin modifiers and remodelers 20, 21, 22. The promoters of several genes involved in the inflammatory response, such as IL6, IL8 and IL12B, display a p38 MAPK-dependent enrichment of histone H3 phosphorylation on 'Ser-10' (H3S10ph) in LPS-stimulated myeloid cells. This phosphorylation enhances the accessibility of the cryptic NF-kappa-B-binding sites marking promoters for increased NF-kappa-B recruitment. Phosphorylates NLRP1 downstream of MAP3K20/ZAK in response to UV-B irradiation and ribosome collisions, promoting activation of the NLRP1 inflammasome and pyroptosis 23.... 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.	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 a family of protein kinases that are involved in the integration of biochemical signals for a wide variety of cellular processes, including cell proliferation, differentiation, transcriptional regulation, and development. The encoded protein can be activated by proinflammatory cytokines and environmental stresses through phosphorylation by mitogen activated protein kinase kinases (MKKs). Alternative splicing results in multiple transcript variants. [provided by RefSeq, Mar 2014]... show less

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