Details for: Epcam

Gene ID: 17075

Symbol: Epcam

Ensembl ID: ENSMUSG00000045394

Description: epithelial cell adhesion molecule

Associated with

Other Information

Genular Protein ID: 2486125566

Symbol: EPCAM_MOUSE

Name: Epithelial cell adhesion molecule

UniProtKB Accession Codes:

Q99JW5 Q61512

Database IDs:

AGR 1 AlphaFoldDB 1 Antibodypedia 1 Bgee 1 BioGRID-ORCS 1 CCDS 1 CDD 1 CTD 1 ChiTaRS 1 DNASU 1 EMBL 5 EPD 1 Ensembl 2 ExpressionAtlas 1 GO 18 Gene3D 1 GeneTree 1 Genevisible 1 GlyCosmos 1 GlyGen 1 HOGENOM 1 InParanoid 1 IntAct 1 InterPro 5 KEGG 1 MGI 1 MaxQB 1 NCBI Taxonomy 1 OMA 1 OrthoDB 1 PANTHER 2 PRO 1 PROSITE 2 PROSITE-ProRule 1 PaxDb 1 PeptideAtlas 1 Pfam 3 PhosphoSitePlus 1 PhylomeDB 1 Proteomes 1 ProteomicsDB 1 RNAct 1 Reactome 1 RefSeq 1 SMART 1 SMR 1 STRING 1 SUPFAM 1 TreeFam 1 UCSC 1 UniProtKB 1 VEuPathDB 1 eggNOG 1 iPTMnet 1 jPOST 1

Citations:

PubMed ID: 1729376

Title: A murine cDNA encodes a pan-epithelial glycoprotein that is also expressed on plasma cells.

PubMed ID: 1729376

PubMed ID: 16141072

Title: The transcriptional landscape of the mammalian genome.

PubMed ID: 16141072

DOI: 10.1126/science.1112014

PubMed ID: 15489334

Title: The status, quality, and expansion of the NIH full-length cDNA project: the Mammalian Gene Collection (MGC).

PubMed ID: 15489334

DOI: 10.1101/gr.2596504

PubMed ID: 21183079

Title: A tissue-specific atlas of mouse protein phosphorylation and expression.

PubMed ID: 21183079

DOI: 10.1016/j.cell.2010.12.001

Sequence Information:

  • Length: 315
  • Mass: 35019
  • Checksum: FDA853E165BA8906
  • Sequence:
    • MAGPQALAFG LLLAVVTATL AAAQRDCVCD NYKLATSCSL NEYGECQCTS YGTQNTVICS 
KLASKCLAMK AEMTHSKSGR RIKPEGAIQN NDGLYDPDCD EQGLFKAKQC NGTATCWCVN 
TAGVRRTDKD TEITCSERVR TYWIIIELKH KERESPYDHQ SLQTALQEAF TSRYKLNQKF 
IKNIMYENNV ITIDLMQNSS QKTQDDVDIA DVAYYFEKDV KGESLFHSSK SMDLRVNGEP 
LDLDPGQTLI YYVDEKAPEF SMQGLTAGII AVIVVVSLAV IAGIVVLVIS TRKKSAKYEK 
AEIKEMGEIH RELNA

Database document:

This is a preview of the gene's schema. Only a few entries are kept for 'singleCellExpressions,' 'mRNAExpressions,' and other large data arrays for visualization purposes. You can zoom in with the mouse wheel for a closer view, and the text will adjust automatically if necessary. For the full schema, download it here.