Details for: Dok3

Gene ID: 27261

Symbol: Dok3

Ensembl ID: ENSMUSG00000035711

Description: docking protein 3

Associated with

Other Information

Genular Protein ID: 111060738

Symbol: DOK3_MOUSE

Name: Docking protein 3

UniProtKB Accession Codes:

Database IDs:

Citations:

PubMed ID: 10567556

Title: Characterization of a novel member of the DOK family that binds and modulates Abl signaling.

PubMed ID: 10567556

DOI: 10.1128/mcb.19.12.8314

PubMed ID: 10733577

Title: Dok-3, a novel adapter molecule involved in the negative regulation of immunoreceptor signaling.

PubMed ID: 10733577

DOI: 10.1128/mcb.20.8.2743-2754.2000

PubMed ID: 14993273

Title: Inhibition of the Jun N-terminal protein kinase pathway by SHIP-1, a lipid phosphatase that interacts with the adaptor molecule Dok-3.

PubMed ID: 14993273

DOI: 10.1128/mcb.24.6.2332-2343.2004

PubMed ID: 17947660

Title: Quantitative time-resolved phosphoproteomic analysis of mast cell signaling.

PubMed ID: 17947660

DOI: 10.4049/jimmunol.179.9.5864

PubMed ID: 19144319

Title: The phagosomal proteome in interferon-gamma-activated macrophages.

PubMed ID: 19144319

DOI: 10.1016/j.immuni.2008.11.006

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: 444
  • Mass: 48027
  • Checksum: 124B705712202D9B
  • Sequence:
  • MESVEPPVKD GILYQQHVKF GKKCWRKVWA LLYAGGPSGV ARLESWDVRD GGLGPAGDRS 
    TGPSRRGERR VIRLADCVSV LPADGESCPR DTGAFLITTT ERSHLLAAQH RQSWVDPICQ 
    LAFPGTGECS SGSGQAESPK RGFVPMEENS IYSSWQEVTE FPVIVQRTEA TSRCQLKGPY 
    LLVLGQDDIQ LRETSKPQAC FSWPYRFLRK YGSDKGVFSF EAGRRCDSGE GLFAFSSPRA 
    PDICGVVAAA IARQRERLPE LAMSPPCPLP RALSLPSLEP PGELREVAPG FELPTPRKLP 
    LTDPGPQSLP LLLSPTQEGP ASGLYASVCK QTSKHTGTAE HLYENVCMLE ASPGLTNGGP 
    EAQEGPPGGR SPLGSPIYHN TEDLSWPGSA QDSNLEAQYR RLLELELDEA GSAGRSGAQA 
    GIKAKLVTLL TRERKKGPAP CDRP

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.