TUG1 section summary - The Human Protein Atlas

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TUG1

Search result

Field

Cluster

Cluster

Cluster

Pathway

SUMMARY

TISSUE

BRAIN

SINGLE CELL

TISSUE CELL

PATHOLOGY

DISEASE

IMMUNE

BLOOD

SUBCELL

CELL LINE

STRUCTURE

INTERACTION

TUG1

TISSUEⁱ Summary of data presented in the Tissue section, with a representative image of protein expression (left) and an interactive chart showing the tissue-specific mRNA expression (right). The image and the chart are clickable and will redirect to more Tissue data. This section contains information regarding the expression profiles of protein-coding genes in normal human tissue, both on the mRNA and protein level. The protein expression data is derived from antibody-based protein profiling using immunohistochemistry.

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.	Not detected - no cluster assigned
Tissue specificityⁱ The RNA specificity category is based on mRNA expression levels in the consensus dataset which is 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

BRAINⁱ Summary of data presented in the Brain Atlas and a representative image of mRNA expression in the human brain. The image is clickable and will redirect to more Brain Atlas data. The Brain Atlas explores the protein expression in the mammalian brain by visualization and integration of data from three mammalian species (human, pig and mouse). Transcriptomics data combined with affinity-based protein in situ localization down to single cell level is available in a brain-centric sub atlas of the Human Protein Atlas.

Human regional 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 region specificity
Pig regional 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 region specificity
Mouse regional 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 region specificity

SINGLE CELL TYPEⁱ Summary of data presented in the Single cell type section, with an interactive chart showing the cell type-specific mRNA expression. The chart is clickable and will redirect to more Single cell type data. This section contains information about single cell type RNA expression based on scRNAseq of human tissues. The data also covers transcriptomics analysis of human blood and cultured cell lines.

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 - Transcription (mainly)
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

TISSUE CELL TYPEⁱ

Endothelial cells

Classificationⁱ

Cell type enriched in single tissue

PATHOLOGYⁱ Summary of data presented in the Pathology section, with representative images of protein expression in cancer (left) and correlation between mRNA expression and patient survival (right). Images are clickable and redirect to pages with more Pathology data. This section contains mRNA and protein expression data from 17 different forms of human cancer, as well as correlation analysis of mRNA expression and patient survival. The protein expression data is derived from antibody-based protein profiling using immunohistochemistry.
Liver cancer p<0.001
Prognostic summary	Prognostic marker in liver cancer (unfavorable) and urothelial cancer (favorable)
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
Cancer distributionⁱ Distribution of RNA expression in 17 cancer types is categorized as either detected in single, detected in some, detected in many, detected in all, or not detected.	Detected in all

DISEASE

Upregulated in diseaseⁱ A gene is classified as upregulated in a disease if the average concentration of all samples of that disease is significantly higher (adj P-value<0.05) than the average concentration of samples of all diseases as measured by PEA . For gender specific diseases the analysis includes only samples corresponding to the same gender from the other diseases.	Not available
Disease prediction modelⁱ The disease(s) the gene is associated with and able to predict according to glmnet prediction models. To be included the gene has to be upregulated according to differential expression analysis and have more than 50% overall importance as indicated by the prediction models.	Not available

IMMUNE CELLⁱ Summary of data presented in the Immune Cell section and a representative image of mRNA expression in immune cells in the blood. The image is clickable and will redirect to more immune cell related data. The Immune Cell section contains information regarding single cell type mRNA expression profiles of protein-coding genes in various immune cells in the blood, e.g. B-cells and granulocytes.

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
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

BLOOD PROTEINⁱ Summary of data presented in the Blood proteins section and a representative image of the concentration in plasma and related function for the protein in plasma. The image is clickable and will redirect to more data. The Blood proteins section contains plasma levels of proteins detected in human blood and an analysis of the human secretome (including annotation of the genes predicted to be actively secreted to human blood) is also presented.

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

Main locationⁱ

CELL LINEⁱ Summary of data presented in the Cell Line section and a representative image of mRNA expression across different human cell lines. The image is clickable and will redirect to more cell line data. This section contains information regarding mRNA expression profiles of human protein-coding genes for a large variety of cell lines.

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 - Mitochondria (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
Cell type distributionⁱ The RNA distribution category is based on mRNA expression levels in the analyzed cell types based on scRNA-seq data from normal tissues. The categories include: detected in all, detected in many, detected in some, detected in single and not detected.	Detected in many

STRUCTURE

# Structures	1 from Alphafold 0 from PDB

INTERACTION

Interactions	No protein interactions
Metabolic info	Not a metabolic protein

Contact

The Project

The Human Protein Atlas

The Human Protein Atlas project is funded
by the Knut & Alice Wallenberg Foundation.

contact@proteinatlas.org