Basic information

Full name
protein kinase cAMP-dependent type II regulatory subunit beta
Ensembl
ENSG00000005249.13
Summary
cAMP is a signaling molecule important for a variety of cellular functions. cAMP exerts its effects by activating the cAMP-dependent protein kinase, which transduces the signal through phosphorylation of different target proteins. The inactive kinase holoenzyme is a tetramer composed of two regulatory and two catalytic subunits. cAMP causes the dissociation of the inactive holoenzyme into a dimer of regulatory subunits bound to four cAMP and two free monomeric catalytic subunits. Four different regulatory subunits and three catalytic subunits have been identified in humans. The protein encoded by this gene is one of the regulatory subunits. This subunit can be phosphorylated by the activated catalytic subunit. This subunit has been shown to interact with and suppress the transcriptional activity of the cAMP responsive element binding protein 1 (CREB1) in activated T cells. Knockout studies in mice suggest that this subunit may play an important role in regulating energy balance and adiposity. The studies also suggest that this subunit may mediate the gene induction and cataleptic behavior induced by haloperidol. [provided by RefSeq, Jul 2008]

Protein product

Phosphosites on the primary protein product
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Tumor and normal comparison

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Signed p-values
Data type
Meta P
BRCA
CCRCC
COAD
GBM
HNSCC
LSCC
LUAD
OV
PDAC
UCEC
RNA-3.8e-64--2.1e-25---2.8e-11-4.7e-17-1.1e-10--3.9e-9-
protein-1.5e-143--4.7e-30-1.3e-33--1.7e-23-1.4e-30-1.3e-23-4.4e-6-3.1e-18-1.0e-4

* P-values are from Wilcoxon rank sum test and can be clicked to show the box plots. Positive values mean higher abundance in tumor. BRCA and GBM do not have normal samples.

mRNA expression at gene level
BRCACCRCCCOADGBMHNSCCLSCCLUADOVPDACUCEC4567891011121314log2(RSEM+1)tumornormal
Protein expression
BRCACCRCCCOADGBMHNSCCLSCCLUADOVPDACUCEC212223242526272829log2(MS1 intensity)tumornormal

* Mild outlier: filled circle; Extreme outlier: empty circle.

Phenotype and mutation association

Manhattan plot summarizing associations of phenotypes and mutations across all cohorts and omics data types

BRCACCRCCCOADGBMHNSCCLSCCLUADOVPDACUCEC02468101214160-2-4-6-8-10-12-14-16Pan-cancer0510152025300-5-10-15-20-25-30proteinRNASCNVclinicalpathwaycell typegenomicmutation-log10 of P-value

* Data points of significant associations above and below the dotted lines can be hovered to show the phenotype.

Associations of the protein abundance of PRKAR2B with phenotypes and mutations

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Signed p-values
Phenotype
Meta P
BRCA
CCRCC
COAD
GBM
HNSCC
LSCC
LUAD
OV
PDAC
UCEC
xcell: Hematopoietic stem cell2.6e-332.2e-30.0450.0540.0514.6e-85.4e-65.0e-50.392.2e-162.8e-9
xcell: stroma score4.9e-249.1e-60.0237.9e-3-0.579.6e-81.9e-40.0232.3e-30.0171.6e-10
xcell: Cancer associated fibroblast4.2e-220.0317.6e-40.01-0.57.9e-93.8e-50.0110.0150.0281.1e-9
PROGENy: Trail1.7e-16-0.480.982.1e-34.4e-32.2e-161.5e-62.8e-6-0.290.050.026
xcell: microenvironment score4e-150.282.8e-38.5e-3-0.0846.9e-93.8e-61.1e-30.43-0.31.2e-10
HALLMARK_MYOGENESIS3e-125.1e-40.0310.110.880.0530.710.140.160.192.2e-16
HALLMARK_UV_RESPONSE_DN3.2e-121.7e-30.10.16-0.723.5e-60.320.0780.330.031.4e-8
cibersort: Mast cell activated3.5e-124.5e-70.33-0.65-0.752.8e-50.434.7e-30.052.1e-41.1e-3
HALLMARK_BILE_ACID_METABOLISM8.7e-125.1e-30.710.310.626.1e-42.8e-61.2e-30.234.6e-40.39
cibersort: T cell CD4+ memory resting9.1e-120.710.190.0510.621.2e-30.0251.8e-30.085.7e-70.038
Showing 1 to 10 of 256 rows

* P-values could be from test for Spearman correlation, Wilcoxon rank sum test, Jonckheere-Terpstra trend test or Cox regression depending on the data type. P-values for individual cohorts can be clicked to show the data plots. The matrix icons in each row can be clicked to show a heatmap summary of associations across all cohorts and omics. The rows in the table can be expanded to show results from other omics.

Cis-association

Associations between omics data of PRKAR2B

BRCA0.810.100.07proteinmRNASCNVmethylationCCRCC0.42-0.110.100.06-0.01-0.17proteinmRNASCNVmethylationCOAD0.52-0.11-0.23proteinmRNASCNVmethylationGBM0.66-0.090.070.12-0.04-0.17proteinmRNASCNVmethylationHNSCC0.850.16-0.040.170.01-0.20proteinmRNASCNVmethylationLSCC0.85-0.00-0.07-0.02-0.08-0.12proteinmRNASCNVmethylationLUAD0.81-0.08-0.01-0.100.050.17proteinmRNASCNVmethylationOV0.69-0.040.06proteinmRNASCNVmethylationPDAC0.560.05-0.00-0.04-0.06-0.07proteinmRNASCNVmethylationUCEC0.79-0.11-0.03-0.03-0.06-0.03proteinmRNASCNVmethylation

* The numbers are Spearman correlation coefficients and can be clicked to show the scatter plots. The color and size of the circles correlate with the coefficients.

Trans-association

Associations of the protein abundance of PRKAR2B and the protein abundance of other genes

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Signed p-values
Gene
Meta P
BRCA
CCRCC
COAD
GBM
HNSCC
LSCC
LUAD
OV
PDAC
UCEC
No matching records found

* P-values are from test for Spearman correlation. P-values for individual cohorts can be clicked to show the data plots. The matrix icons in each row can be clicked to show a heatmap summary of associations across all cohorts and omics. The rows in the table can be expanded to show results from other omics.

Gene set enrichment analysis

Submit genes and the common logarithm of the p-values of their association with to WebGestalt.