CPSF1


Name

cleavage and polyadenylation specific factor 1, 160kDa

Synonyms

P/cl.18, CPSF160, HSU37012 [provided by Ensembl, GRCh37]

Location

chr8:145,618,444-145,634,753 (reverse strand)

Summary

Cleavage and polyadenylation specificity factor (CPSF) is a multisubunit complex that plays a central role in 3-prime processing of pre-mRNAs. CPSF recognizes the AAUAAA signal in the pre-mRNA and interacts with other proteins to facilitate both RNA cleavage and poly(A) synthesis. CPSF1 is the largest subunit of the CPSF complex (Murthy and Manley, 1995 [PubMed 7590244]).[supplied by OMIM, Mar 2008]

Biotype

Protein coding

Ensembl gene ID

ENSG00000071894

NCBI gene ID

29894

Search for articles

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 (chr8) Padj(eQTL) Effect size GWAS pieQTL
SNP Cluster Position (chr8) 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.