IMP3


Name

IMP3, U3 small nucleolar ribonucleoprotein, homolog (yeast)

Synonyms

MRPS4, BRMS2, FLJ10968, C15orf12 [provided by Ensembl, GRCh37]

Location

chr15:75,931,426-75,941,047 (reverse strand)

Summary

This gene encodes the human homolog of the yeast Imp3 protein. The protein localizes to the nucleoli and interacts with the U3 snoRNP complex. The protein contains an S4 domain. [provided by RefSeq, Jul 2008]

Biotype

Protein coding

Ensembl gene ID

ENSG00000177971

NCBI gene ID

55272

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Differential expression

Differential gene expression across cell types as calculated by the DESeq package (version 1.6.3). Cells are sorted based on median gene expression from highest to lowest. Squares in the upper diagonal matrix indicate results from pair-wise comparisons of two cell types on the x- and y-axis. Changing the tab on top will switch from log2 fold change to P values, and mousing over the squares will display those values. Adjusting the threshold slider will change the color of the square to indicate if it is above or below the threshold.


P value threshold

Log2 fold change threshold


Download data(*.csv) Download image (*.png)

DICE QTLs

Discovery of genetic variants directly associated with the gene expression level (SNP located within +/- 1 Mb of the TSS); 'expression quantitative trait loci' (eQTL). Hover over the table headers for a description of several of the fields.


SNP ID Cell type Position (chr15) Padj(eQTL) Effect size GWAS pieQTL
SNP Cluster Position (chr15) Padj(eQTL) Effect size
SNP Disease or trait Padj(gwas)
SNP Distance(bp) from TSS Cell type Padj(eQTL)
Reference Title of article Pubmed ID

UCSC Genome Browser

RNA expression levels (in reads per million) averaged across samples are shown for each cell type, along with the Gencode annotations. Controls allow you to zoom in/out, move to a different region of the genome, change scales, or add/remove tracks. Future versions will also display SNPs/eQTLs as separate tracks.


Gene networks

Click on 'Explore gene networks' link to open up gene networks page.