Details for: PIP4P2

Gene ID: 55529

Symbol: PIP4P2

Ensembl ID: ENSG00000155099

Description: phosphatidylinositol-4,5-bisphosphate 4-phosphatase 2

Associated with

Other Information

Genular Protein ID: 154517897

Symbol: PP4P2_HUMAN

Name: Type 2 phosphatidylinositol 4,5-bisphosphate 4-phosphatase

UniProtKB Accession Codes:

Database IDs:

Citations:

PubMed ID: 14702039

Title: Complete sequencing and characterization of 21,243 full-length human cDNAs.

PubMed ID: 14702039

DOI: 10.1038/ng1285

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: 17974005

Title: The full-ORF clone resource of the German cDNA consortium.

PubMed ID: 17974005

DOI: 10.1186/1471-2164-8-399

PubMed ID: 16365287

Title: The identification and characterization of two phosphatidylinositol-4,5-bisphosphate 4-phosphatases.

PubMed ID: 16365287

DOI: 10.1073/pnas.0509740102

PubMed ID: 19690332

Title: Quantitative phosphoproteomic analysis of T cell receptor signaling reveals system-wide modulation of protein-protein interactions.

PubMed ID: 19690332

DOI: 10.1126/scisignal.2000007

PubMed ID: 23186163

Title: Toward a comprehensive characterization of a human cancer cell phosphoproteome.

PubMed ID: 23186163

DOI: 10.1021/pr300630k

PubMed ID: 24275569

Title: An enzyme assisted RP-RPLC approach for in-depth analysis of human liver phosphoproteome.

PubMed ID: 24275569

DOI: 10.1016/j.jprot.2013.11.014

Sequence Information:

  • Length: 257
  • Mass: 28081
  • Checksum: 2E059F7D07BA9227
  • Sequence:
  • MAADGVDERS PLLSASHSGN VTPTAPPYLQ ESSPRAELPP PYTAIASPDA SGIPVINCRV 
    CQSLINLDGK LHQHVVKCTV CNEATPIKNP PTGKKYVRCP CNCLLICKDT SRRIGCPRPN 
    CRRIINLGPV MLISEEQPAQ PALPIQPEGT RVVCGHCGNT FLWMELRFNT LAKCPHCKKI 
    SSVGSALPRR RCCAYITIGM ICIFIGVGLT VGTPDFARRF RATYVSWAIA YLLGLICLIR 
    ACYWGAIRVS YPEHSFA

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.