Single cell type - AKT3 - The Human Protein Atlas

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.	AKT3
Gene descriptionⁱ Full gene name according to HGNC.	AKT serine/threonine kinase 3
Protein classⁱ Assigned HPA protein class(es) for the encoded protein(s).	Cancer-related genes Disease related genes Enzymes Human disease related genes Plasma proteins Potential drug targets RAS pathway related proteins
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
Number of transcriptsⁱ Number of protein-coding transcripts from the gene as defined by Ensembl.	11

HUMAN PROTEIN ATLAS INFORMATIONⁱ Summary of RNA expression and protein localization based on data generated within the Human Protein Atlas project.
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.	Neurons - Neuronal signaling (mainly)
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.	Group enriched (Excitatory neurons, Oligodendrocyte precursor cells, Inhibitory neurons, Oligodendrocytes, Astrocytes, Microglial cells)
Tau specificity scoreⁱ Tau specificity score is a numerical indicator of the specificity of the gene expression across cells or tissues. The value ranges from 0 and 1, where 0 indicates identical expression across all cells/tissue types, while 1 indicates expression in a single cell/tissue type.	0.60
Brain cluster specificityⁱ The RNA specificity category is based on mRNA expression levels in the analyzed cell cluster types based on snRNA-seq data from brain samples. The categories include: cell type enriched, group enriched, cell type enhanced, low cell type specificity and not detected. "cell type" refer to one of the 34 cluster names used to summarize the 2.5 million cells included in the brain cell representation.	Low cell type specificity
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
Protein evidenceⁱ Evidence score for genes based on UniProt protein existence (UniProt evidence); neXtProt protein existence (neXtProt evidence);and a Human Protein Atlas antibody- or RNA based score (HPA evidence). The avaliable scores are evidence at protein level, evidence at transcript level, no evidence, or not avaliable.	Evidence at protein level

ASSAYSⁱ

Single cell type

Cell type enrichment

Single nuclei - Brain

Immune cells

Expression clustering

SINGLE CELL TYPESⁱ A summary of normalized single cell RNA (nTPM) from all single cell types. Color-coding is based on cell type groups, each consisting of cell types with functional features in common.
Single cell types RNA single cell type specificity: Group enriched (Excitatory neurons, Oligodendrocyte precursor cells, Inhibitory neurons, Oligodendrocytes, Astrocytes, Microglial cells)

TISSUE CELL TYPEⁱ The tissue cell type section provides a cell type specificity prediction for all protein coding genes. More information on the data available can be found here and a description of the analysis here.
	Core cell typesⁱ The core cell type table displays data for a panel of eight cell types that are found in many tissues. Colored dots indicate that the selected gene has core cell type specificity in the indicated tissue. Grey dots indicate that cell type is present within that tissue, but the selected gene is not predicted to be enriched there. Category Alphabetical Enrichment Tissue specific cell typesⁱ This plot shows the enrichment score of the selected gene in all non-core cell types found within the profiled tissues, allowing comparisons between different cell types within different tissues. An enlarged symbol indicates classification of the gene as cell type enriched in the corresponding cell type.

SINGLE NUCLEI BRAINⁱ

Single nuclei cluster types

RNA brain cluster specificity: Low cell type specificity

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). Lineage Expression Alphabetical Immune cell type specificity: Low immune cell specificity
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. Lineage Expression Alphabetical
Schmiedel datasetⁱ Transcript Per Million (TPM) values are visualized for 15 blood cell types from the Schmiedel et al. dataset. Lineage Expression Alphabetical

EXPRESSION CLUSTERING & CORRELATIONⁱ

SINGLE CELL TYPE

AKT3 is part of cluster 34 Neurons - Neuronal signaling with confidenceⁱ 1
518 genes in cluster

Go to interactive expression cluster page

15 nearest neighbours based on single 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.	Clusterⁱ ID of the expression cluster of the neighboring gene.
TRIM9	Tripartite motif containing 9	0.8066	34
BRINP1	BMP/retinoic acid inducible neural specific 1	0.7587	34
ZFPM2	Zinc finger protein, FOG family member 2	0.7486	34
FAT3	FAT atypical cadherin 3	0.7467	34
RIT2	Ras like without CAAX 2	0.7361	34
CRPPA	CDP-L-ribitol pyrophosphorylase A	0.7226	34
CDH10	Cadherin 10	0.7213	34
SORCS1	Sortilin related VPS10 domain containing receptor 1	0.7096	34
LRP1B	LDL receptor related protein 1B	0.7096	34
ARPP21	CAMP regulated phosphoprotein 21	0.7080	34
PCDH7	Protocadherin 7	0.7067	34
FAM47E-STBD1	FAM47E-STBD1 readthrough	0.7065	34
ADGRB3	Adhesion G protein-coupled receptor B3	0.7051	34
C2orf80	Chromosome 2 open reading frame 80	0.7018	34
GABRA3	Gamma-aminobutyric acid type A receptor subunit alpha3	0.6988	34

IMMUNE CELLS

AKT3 is part of cluster 34 B-cells - Unknown function with confidenceⁱ 1
112 genes in cluster

Go to interactive expression cluster page

15 nearest neighbours based on single 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.	Clusterⁱ ID of the expression cluster of the neighboring gene.
NPIPB2	Nuclear pore complex interacting protein family member B2	0.9762	34
CDHR3	Cadherin related family member 3	0.9762	34
CCDC191	Coiled-coil domain containing 191	0.9762	34
TMEM220	Transmembrane protein 220	0.9524	34
GLYATL1B	Glycine-N-acyltransferase like 1B	0.9524	34
IGLJ6	Immunoglobulin lambda joining 6	0.9524	34
IGLV1-36	Immunoglobulin lambda variable 1-36	0.9524	34
IGLV5-37	Immunoglobulin lambda variable 5-37	0.9524	34
IGLV10-54	Immunoglobulin lambda variable 10-54	0.9524	34
IGKV6D-41	Immunoglobulin kappa variable 6D-41 (non-functional)	0.9524	34
IGKV2D-26	Immunoglobulin kappa variable 2D-26	0.9524	34
LCN10	Lipocalin 10	0.9524	34
TBXA2R	Thromboxane A2 receptor	0.9524	34
PDE7B	Phosphodiesterase 7B	0.9524	18
CFAP418	Cilia and flagella associated protein 418	0.9524	34