Basic information

Full name
phosphorylase kinase regulatory subunit alpha 2
Ensembl
ENSG00000044446.12
Summary
Phosphorylase kinase is a polymer of 16 subunits, four each of alpha, beta, gamma and delta. The alpha subunit includes the skeletal muscle and hepatic isoforms, and the hepatic isoform is encoded by this gene. The beta subunit is the same in both the muscle and hepatic isoforms, and encoded by one gene. The gamma subunit also includes the skeletal muscle and hepatic isoforms, which are encoded by two different genes. The delta subunit is a calmodulin and can be encoded by three different genes. The gamma subunits contain the active site of the enzyme, whereas the alpha and beta subunits have regulatory functions controlled by phosphorylation. The delta subunit mediates the dependence of the enzyme on calcium concentration. Mutations in this gene cause glycogen storage disease type 9A, also known as X-linked liver glycogenosis. Alternatively spliced transcript variants have been reported, but the full-length nature of these variants has not been determined.[provided by RefSeq, Feb 2010]

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
RNA3.1e-8-2.8e-28---1.5e-45.3e-118.7e-3--5.4e-5-
protein-2.8e-17---0.073--5.5e-6-0.031-9.4e-8-0.05-4.1e-7-0.13

* 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
BRCACCRCCCOADGBMHNSCCLSCCLUADOVPDACUCEC77.588.599.51010.51111.51212.51313.514log2(RSEM+1)tumornormal
Protein expression
BRCACOADGBMHNSCCLSCCLUADOVPDACUCEC2020.52121.52222.52323.52424.5log2(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

BRCACCRCCCOADGBMHNSCCLSCCLUADOVPDACUCEC0123456789101112130-1-2-3-4-5-6-7-8-9-10-11-12-13Pan-cancer0246810121416182022240-2-4-6-8-10-12-14-16-18-20-22-24proteinRNASCNVclinicalpathwaycell 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 PHKA2 with phenotypes and mutations

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Signed p-values
Phenotype
Meta P
BRCA
CCRCC
COAD
GBM
HNSCC
LSCC
LUAD
OV
PDAC
UCEC
HALLMARK_BILE_ACID_METABOLISM1.7e-100.011--0.692.6e-90.760.20.020.090.121.2e-4
HALLMARK_PEROXISOME2.4e-80.034--0.948.2e-50.690.0370.150.190.0682.0e-4
HALLMARK_FATTY_ACID_METABOLISM1.9e-70.059--0.376.6e-70.770.0260.0870.220.146.4e-3
KINASE-PSP_Akt1/AKT14.4e-71.2e-3--0.421.1e-40.840.673.4e-30.160.250.006
HALLMARK_ADIPOGENESIS6.8e-50.11--0.666.9e-50.710.350.0930.870.280.01
HALLMARK_ANDROGEN_RESPONSE1.2e-40.068-0.397.5e-30.620.750.0440.270.650.072
xcell: Macrophage M23.3e-40.55--0.339.2e-50.60.120.420.410.0310.17
cibersort: Neutrophil4.0e-4-0.92--0.770.140.0490.21-0.917.8e-31.3e-30.59
PERT-PSP_PHORBOL_ESTER4.6e-4--0.385.1e-30.830.446.2e-47.1e-3-0.56-0.78
HALLMARK_XENOBIOTIC_METABOLISM7.1e-40.028--0.467.3e-6-0.230.550.053-0.690.0240.31
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 PHKA2

BRCA0.480.380.33proteinmRNASCNVmethylationCCRCC-0.290.09-0.13proteinmRNASCNVmethylationCOAD0.190.030.47proteinmRNASCNVmethylationGBM0.33-0.060.20-0.250.30-0.07proteinmRNASCNVmethylationHNSCC0.44-0.180.32-0.060.44-0.26proteinmRNASCNVmethylationLSCC0.53-0.220.44-0.210.47-0.38proteinmRNASCNVmethylationLUAD0.590.030.55-0.060.63-0.09proteinmRNASCNVmethylationOV0.270.190.34proteinmRNASCNVmethylationPDAC0.290.140.01-0.190.23-0.31proteinmRNASCNVmethylationUCEC0.270.130.24-0.170.060.39proteinmRNASCNVmethylation

* 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 PHKA2 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.