Details for: ZNF264
Associated with
Other Information
Genular Protein ID: 3443768987
Symbol: ZN264_HUMAN
Name: Zinc finger protein 264
UniProtKB Accession Codes:
Database IDs:
Citations:
PubMed ID: 9455477
Title: Prediction of the coding sequences of unidentified human genes. VIII. 78 new cDNA clones from brain which code for large proteins in vitro.
PubMed ID: 9455477
PubMed ID: 14702039
Title: Complete sequencing and characterization of 21,243 full-length human cDNAs.
PubMed ID: 14702039
DOI: 10.1038/ng1285
PubMed ID: 15057824
Title: The DNA sequence and biology of human chromosome 19.
PubMed ID: 15057824
DOI: 10.1038/nature02399
PubMed ID: 15592455
Title: Immunoaffinity profiling of tyrosine phosphorylation in cancer cells.
PubMed ID: 15592455
DOI: 10.1038/nbt1046
PubMed ID: 17525332
Title: ATM and ATR substrate analysis reveals extensive protein networks responsive to DNA damage.
PubMed ID: 17525332
PubMed ID: 18669648
Title: A quantitative atlas of mitotic phosphorylation.
PubMed ID: 18669648
PubMed ID: 28112733
Title: Site-specific mapping of the human SUMO proteome reveals co-modification with phosphorylation.
PubMed ID: 28112733
DOI: 10.1038/nsmb.3366
Sequence Information:
- Length: 627
- Mass: 70587
- Checksum: BF0A6460AD07CECB
- Sequence:
MAAAVLTDRA QVSVTFDDVA VTFTKEEWGQ LDLAQRTLYQ EVMLENCGLL VSLGCPVPKA ELICHLEHGQ EPWTRKEDLS QDTCPGDKGK PKTTEPTTCE PALSEGISLQ GQVTQGNSVD SQLGQAEDQD GLSEMQEGHF RPGIDPQEKS PGKMSPECDG LGTADGVCSR IGQEQVSPGD RVRSHNSCES GKDPMIQEEE NNFKCSECGK VFNKKHLLAG HEKIHSGVKP YECTECGKTF IKSTHLLQHH MIHTGERPYE CMECGKAFNR KSYLTQHQRI HSGEKPYKCN ECGKAFTHRS NFVLHNRRHT GEKSFVCTEC GQVFRHRPGF LRHYVVHSGE NPYECLECGK VFKHRSYLMW HQQTHTGEKP YECSECGKVF LESAALIHHY VIHTGEKPFE CLECGKAFNH RSYLKRHQRI HTGEKPFVCS ECGKAFTHCS TFILHKRAHT GEKPFECKEC GKAFSNRKDL IRHFSIHTGE KPYECVECGK AFTRMSGLTR HKRIHSGEKP YECVECGKSF CWSTNLIRHA IIHTGEKPYK CSECGKAFSR SSSLTQHQRM HTGKNPISVT DVGRPFTSGQ TSVTLRELLL GKDFLNVTTE ANILPEETSS SASDQPYQRE TPQVSSL
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.