Gene: SETD4

LinkedOmicsKB © 2022-2023 Zhang Lab

Basic information

Full name
SET domain containing 4
Ensembl
ENSG00000185917.13

Protein product

  • ENST00000399215.5 Primary ENSP00000382163.1 (0 phosphosite)
  • ENST00000332131.8
  • ENST00000399212.5
  • ENST00000399208.6
  • ENST00000399207.5
  • ENST00000399201.5
  • ENST00000399205.5
Phosphosites on the primary protein product

Tumor and normal comparison

Loading, please wait
Signed p-values
Data type
Meta P
BRCA
CCRCC
COAD
GBM
HNSCC
LSCC
LUAD
OV
PDAC
UCEC
RNA0.44--0.021---1.5e-39e-109.5e-5--4.9e-3-
protein-----------

* 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
BRCACCRCCCOADGBMHNSCCLSCCLUADOVPDACUCEC7.588.599.51010.51111.5log2(RSEM+1)tumornormal
Protein expression

* 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

BRCACCRCCCOADGBMHNSCCLSCCLUADOVPDACUCEC0123456789100-1-2-3-4-5-6-7-8-9-10Pan-cancer024681012141618200-2-4-6-8-10-12-14-16-18-20proteinRNASCNVclinicalpathwaycell 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 SETD4 with phenotypes and mutations

Loading, please wait
Signed p-values
Phenotype
Meta P
BRCA
CCRCC
COAD
GBM
HNSCC
LSCC
LUAD
OV
PDAC
UCEC
cibersort: B cell naive-----------
cibersort: B cell memory-----------
cibersort: B cell plasma-----------
cibersort: T cell CD8+-----------
cibersort: T cell CD4+ naive-----------
cibersort: T cell CD4+ memory resting-----------
cibersort: T cell CD4+ memory activated-----------
cibersort: T cell follicular helper-----------
xcell: Macrophage M2-----------
xcell: B cell memory-----------
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 SETD4

BRCA0.38proteinmRNASCNVmethylationCCRCC0.090.03-0.03proteinmRNASCNVmethylationCOAD0.28proteinmRNASCNVmethylationGBM0.050.340.07proteinmRNASCNVmethylationHNSCC0.210.500.16proteinmRNASCNVmethylationLSCC0.050.350.05proteinmRNASCNVmethylationLUAD0.190.510.08proteinmRNASCNVmethylationOV0.60proteinmRNASCNVmethylationPDAC-0.190.54-0.04proteinmRNASCNVmethylationUCEC-0.060.030.19proteinmRNASCNVmethylation

* 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 SETD4 and the protein abundance of other genes

Loading, please wait
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.