Immune cell - TRBV5-6 - The Human Protein Atlas

We use cookies to enhance the usability of our website. If you continue, we'll assume that you are happy to receive all cookies. More information. Don't show this again.

Search result

Field

Cluster

Cluster

Pathway

HELP

NEWS

TRBV5-6

SUMMARY

TISSUE

BRAIN

SINGLE CELL

TISSUE CELL

PATHOLOGY

IMMUNE

BLOOD

SUBCELL

CELL LINE

METABOLIC

GENERAL INFORMATIONⁱ General description of the gene and the encoded protein(s) using information from HGNC and Ensembl, as well as predictions made by the Human Protein Atlas project.
Gene nameⁱ Official gene symbol, which is typically a short form of the gene name, according to HGNC.	TRBV5-6
Gene descriptionⁱ Full gene name according to HGNC.	T cell receptor beta variable 5-6
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. Read more	Intracellular

IMMUNE CELL SECTION SUMMARY
Immune cell type expression clusterⁱ The RNA data is used to cluster genes according to their expression across immune cells. 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. Read more	T-cells - T-cell receptor (mainly)
Immune cell type 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. Read more	Group enriched (T-reg, naive CD8 T-cell, memory CD4 T-cell, naive CD4 T-cell, memory CD8 T-cell)
Immune cell type distributionⁱ The RNA distribution category is based on mRNA expression levels in the analyzed samples based on data from HPA. The categories include: detected in all, detected in many, detected in some, detected in single and not detected. Read more	Detected in many
Immune cell lineage specificityⁱ The RNA specificity category is based on mRNA expression levels in the analyzed samples based on data from HPA. The categories include: lineage enriched, group enriched, lineage enhanced, low lineage specificity and not detected. Lineages include B-cells, T-cells, NK-cells, monocytes, granulocytes and dendritic cells. Read more	Lineage enriched (T-cells)
Immune cell lineage distributionⁱ 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. Read more	Detected in many

IMMUNE CELL TYPE EXPRESSION (RNA)ⁱ Blood cell type expression overview shows RNA-seq data from three different sources: Internally generated Human Protein Atlas (HPA) data, as well as data generated by (Monaco et al) and (Schmiedel et al). Color-coding is based on blood cell type lineages, including B-cells, T-cells, NK-cells, monocytes, granulocytes and dendritic cells as well as total PBMC. To access sample data, click on tissue name or bar.
HPA datasetⁱ The resulting transcript expression values calculated as nTPM, resulting from the internal normalization pipeline for 18 immune cell types and total peripheral blood mononuclear cells (PBMC). Read more Lineage Expression Alphabetical Immune cell type specificity: Group enriched (T-reg, naive CD8 T-cell, memory CD4 T-cell, naive CD4 T-cell, memory CD8 T-cell)
Monaco datasetⁱ The transcript expression values (nTPM) resulting from the internal normalization pipeline are visualized for 29 blood cell types and total peripheral blood mononuclear cells (PBMC) from Monaco et al. Read more Lineage Expression Alphabetical
Schmiedel datasetⁱ Transcript Per Million (TPM) values are visualized for 15 blood cell types from the Schmiedel et al. dataset. Read more Lineage Expression Alphabetical

EXPRESSION CLUSTERING & CORRELATIONⁱ

TRBV5-6 is part of cluster 20 T-cells - T-cell receptor with confidenceⁱ 1
245 genes in cluster

Go to interactive expression cluster page

15 nearest neighbours based on immune cell RNA expression

Neighbourⁱ Gene name according to HGNC.	Descriptionⁱ Gene description according to HGNC.	Correlationⁱ Correlation between the selected gene and neighboring gene. Correlation is calculated as Spearman correlation in PCA space based on the RNA-seq expression data. Read more	Clusterⁱ ID of the expression cluster of the neighboring gene. Read more
TRAJ24	T cell receptor alpha joining 24	0.9404	20
TRBV7-6	T cell receptor beta variable 7-6	0.9301	20
TRAJ37	T cell receptor alpha joining 37	0.9119	20
TRAV17	T cell receptor alpha variable 17	0.8986	20
TRAV12-3	T cell receptor alpha variable 12-3	0.8977	20
TRBC1	T cell receptor beta constant 1	0.8892	20
TRAV12-2	T cell receptor alpha variable 12-2	0.8879	20
TRAJ52	T cell receptor alpha joining 52	0.8692	20
TRBV7-2	T cell receptor beta variable 7-2	0.8647	4
TRBV2	T cell receptor beta variable 2	0.8625	20
TRAV26-2	T cell receptor alpha variable 26-2	0.8545	20
LAIR2	Leukocyte associated immunoglobulin like receptor 2	0.8523	35
TRAV38-2DV8	T cell receptor alpha variable 38-2/delta variable 8	0.8501	20
TRAJ29	T cell receptor alpha joining 29	0.8492	35
TRAJ22	T cell receptor alpha joining 22	0.8474	20

Contact

contact@proteinatlas.org

The Project

The Human Protein Atlas

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