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BETA
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  • UCP2
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 Colon Rectum Duodenum Small intestine Liver Gallbladder Pancreas Kidney Urinary bladder Testis Epididymis Prostate Seminal vesicle Vagina Breast Cervix Endometrium Fallopian tube Ovary Placenta Blood vessel Heart muscle Skeletal muscle Smooth muscle Adipose tissue Skin Bone marrow Appendix Tonsil Spleen Lymph node Thymus
UCP2 INFORMATION
Proteini

Full gene name according to HGNC.

Uncoupling protein 2
Gene namei

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

UCP2 (BMIQ4, SLC25A8)
Protein classi

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

Human disease related genes
Metabolic proteins
Transporters
Protein evidence Evidence at protein level (all genes)
Number of transcriptsi

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

5
Protein interactions Interacting with 2 proteins
Metabolic subsystems Involved in 2 reactions in 1 subsystem
UCP2 AI GENERATED INFOGRAPHICi

This infographic was generated by AI (Gemini) using only data presented in the Human Protein Atlas v25. It is a quick overview and may contain errors or simplifications, so please check the full data on this gene page before drawing conclusions.

Read more
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.
Tissue specificity (MS) Not detected
Cell type specificity (DVP) Group enriched (B-cells, Macrophages)
Subcellular locationi

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

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.

Membrane, Intracellular (different isoforms)
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.

Lymphoid tissue - Immune response (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 domain 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.

Macrophages & Microglia - Immune response (mainly)
Isoform expression categoryi

The expression category reflects the overall expression pattern for the gene based on expression profiles for all individual isoforms.

Read more
Highly dominant isoform, many expressed
Evolutionary conservation categoryi

Conservation category is a categoric annotation that intends to capture the available pairwise species overlap annotations into one metric. The categories range from: Complete, Partial and Minimal Conservation for conserved genes; and Tissue elevation shift, human specific tissue elevated, Non-Human tissue elevated, Human specific detected and Human not detected for non conserved genes.

Partial conservation (Low tissue specificity)
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 (Hofbauer 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 & Neutrophils - Myeloid identity & tonic signaling (mainly)
Bulk RNA deconvolution 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 subcutaneous - Macrophages, Adipose visceral - Adipocytes (Visceral), Liver - Kupffer cells, Spleen - Macrophages)
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 - Mitochondria (mainly)
CANCER & CELL LINES
Cancer specificity (RNA)i

Specificity of RNA expression (TCGA dataset) across 21 cancer types is categorized as either cancer enriched, group enriched, cancer enhanced, low cancer specificity or not detected.

Low cancer specificity
Cancer specificity (Protein)i

Specificity of protein abundance in tumor samples from 25 cancer types, measured by mass spectrometry (ProteinTalks DB dataset), is categorized as cancer enriched, group enriched, cancer enhanced, low cancer specificity or not detected.

Not detected
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 - Humoral immune 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 dataset obtained from the PeptideAtlas.

No
Proximity extension assayi

Indicates whether the protein has been measured (Data available) or not (Not available) using the Olink Explore HT proximity extension assay platform.

Not available
SomaScani

Indicates whether the protein has been measured (Data available) or not (Not available) using the SomaScan 11K platform.

Not available
PROTEIN FUNCTION
Protein function (UniProt)i

Useful information about the protein provided by UniProt.

Antiporter that exports dicarboxylate intermediates of the Krebs cycle in exchange for phosphate plus a proton across the inner membrane of mitochondria, a process driven by mitochondrial motive force with an overall impact on glycolysis, glutaminolysis and glutathione-dependent redox balance. Continuous export of oxaloacetate and related four-carbon dicarboxylates from mitochondrial matrix into the cytosol negatively regulates the oxidation of acetyl-CoA substrates via the Krebs cycle, lowering the ATP/ADP ratio and reactive oxygen species (ROS) production 1. May mediate inducible proton entry into the mitochondrial matrix affecting ATP turnover as a protection mechanism against oxidative stress. The proton currents are most likely associated with fatty acid flipping across the inner membrane of mitochondria in a metabolic process regulated by free fatty acids and purine nucleotides (By similarity) 2, 3, 4, 5, 6. Regulates the use of glucose as a source of energy. Required for glucose-induced DRP1-dependent mitochondrial fission and neuron activation in the ventromedial nucleus of the hypothalamus (VMH). This mitochondrial adaptation mechanism modulates the VMH pool of glucose-excited neurons with an impact on systemic glucose homeostasis (By similarity). Regulates ROS levels and metabolic reprogramming of macrophages during the resolution phase of inflammation. Attenuates ROS production in response to IL33 to preserve the integrity of the Krebs cycle required for persistent production of itaconate and subsequent GATA3-dependent differentiation of inflammation-resolving alternatively activated macrophages (By similarity). Can unidirectionally transport anions including L-malate, L-aspartate, phosphate and chloride ions 7, 8, 9. Does not mediate adaptive thermogenesis (By similarity).... show less
Biological process (UniProt)i

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

Transport
Gene summary (Entrez)i

Useful information about the gene from Entrez

Mitochondrial uncoupling proteins (UCP) are members of the larger family of mitochondrial anion carrier proteins (MACP). UCPs separate oxidative phosphorylation from ATP synthesis with energy dissipated as heat, also referred to as the mitochondrial proton leak. UCPs facilitate the transfer of anions from the inner to the outer mitochondrial membrane and the return transfer of protons from the outer to the inner mitochondrial membrane. They also reduce the mitochondrial membrane potential in mammalian cells. Tissue specificity occurs for the different UCPs and the exact methods of how UCPs transfer H+/OH- are not known. UCPs contain the three homologous protein domains of MACPs. This gene is expressed in many tissues, with the greatest expression in skeletal muscle. It is thought to play a role in nonshivering thermogenesis, obesity and diabetes. Chromosomal order is 5'-UCP3-UCP2-3'. [provided by RefSeq, Jul 2008]... show less

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