Details for: PRR11
Associated with
Other Information
Genular Protein ID: 3794680610
Symbol: PRR11_HUMAN
Name: Proline-rich protein 11
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: 17081983
Title: Global, in vivo, and site-specific phosphorylation dynamics in signaling networks.
PubMed ID: 17081983
PubMed ID: 18669648
Title: A quantitative atlas of mitotic phosphorylation.
PubMed ID: 18669648
PubMed ID: 19690332
Title: Quantitative phosphoproteomic analysis of T cell receptor signaling reveals system-wide modulation of protein-protein interactions.
PubMed ID: 19690332
PubMed ID: 20068231
Title: Quantitative phosphoproteomics reveals widespread full phosphorylation site occupancy during mitosis.
PubMed ID: 20068231
PubMed ID: 23246489
Title: PRR11 is a novel gene implicated in cell cycle progression and lung cancer.
PubMed ID: 23246489
PubMed ID: 23186163
Title: Toward a comprehensive characterization of a human cancer cell phosphoproteome.
PubMed ID: 23186163
DOI: 10.1021/pr300630k
PubMed ID: 23242552
Title: Global subcellular characterisation of protein degradation using quantitative proteomics.
PubMed ID: 23242552
Sequence Information:
- Length: 360
- Mass: 40085
- Checksum: 04757432CA0D9501
- Sequence:
MPKFKQRRRK LKAKAERLFK KKEASHFQSK LITPPPPPPS PERVGISSID ISQSRSWLTS SWNFNFPNIR DAIKLWTNRV WSIYSWCQNC ITQSLEVLKD TIFPSRICHR ELYSVKQQFC ILESKLCKLQ EALKTISESS SCPSCGQTCH MSGKLTNVPA CVLITPGDSK AVLPPTLPQP ASHFPPPPPP PPLPPPPPPL APVLLRKPSL AKALQAGPLK KDGPMQITVK DLLTVKLKKT QSLDEKRKLI PSPKARNPLV TVSDLQHVTL KPNSKVLSTR VTNVLITPGK SQMDLRKLLR KVDVERSPGG TPLTNKENME TGTGLTPVMT QALRRKFQLA HPRSPTPTLP LSTSSFDEQN
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.