Immune cell - IGLV1-50 - 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

IGLV1-50

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.	IGLV1-50
Gene descriptionⁱ Full gene name according to HGNC.	Immunoglobulin lambda variable 1-50 (non-functional)
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	Secreted

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	B-cells - Humoral immune response (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 (memory B-cell, naive B-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 some
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 (B-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 single

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 (memory B-cell, naive B-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

IGLV1-50 is part of cluster 43 B-cells - Humoral immune response with confidenceⁱ 1
204 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
RASSF6	Ras association domain family member 6	0.9889	43
IGLV7-43	Immunoglobulin lambda variable 7-43	0.9875	43
AC141272.1		0.9835	43
IGKV3OR2-268	Immunoglobulin kappa variable 3/OR2-268 (non-functional)	0.9800	43
IGKV2D-24	Immunoglobulin kappa variable 2D-24 (non-functional)	0.9786	43
KCNS3	Potassium voltage-gated channel modifier subfamily S member 3	0.9764	43
ARL14	ADP ribosylation factor like GTPase 14	0.9760	43
FA2H	Fatty acid 2-hydroxylase	0.9631	43
IGLV10-54	Immunoglobulin lambda variable 10-54	0.9617	43
IGHV2-26	Immunoglobulin heavy variable 2-26	0.9555	43
IGLV2-18	Immunoglobulin lambda variable 2-18	0.9542	19
IGHV3OR16-10	Immunoglobulin heavy variable 3/OR16-10 (non-functional)	0.9506	43
AC136616.2		0.9493	19
IGKV1OR2-108	Immunoglobulin kappa variable 1/OR2-108 (non-functional)	0.9453	19
IGHV3-35	Immunoglobulin heavy variable 3-35 (non-functional)	0.9444	43

Contact

contact@proteinatlas.org

The Project

The Human Protein Atlas

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