Details for: STARD10
Associated with
Other Information
Genular Protein ID: 933899682
Symbol: STA10_HUMAN
Name: START domain-containing protein 10
UniProtKB Accession Codes:
Database IDs:
Citations:
PubMed ID: 10810093
Title: Identification of novel human genes evolutionarily conserved in Caenorhabditis elegans by comparative proteomics.
PubMed ID: 10810093
DOI: 10.1101/gr.10.5.703
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: 9610721
Title: Characterization of human colon cancer antigens recognized by autologous antibodies.
PubMed ID: 9610721
DOI: 10.1002/(sici)1097-0215(19980529)76:5<652::aid-ijc7>3.0.co;2-p
PubMed ID: 15911624
Title: StarD10, a START domain protein overexpressed in breast cancer, functions as a phospholipid transfer protein.
PubMed ID: 15911624
PubMed ID: 17561512
Title: Phosphorylation of StarD10 on serine 284 by casein kinase II modulates its lipid transfer activity.
PubMed ID: 17561512
PubMed ID: 18669648
Title: A quantitative atlas of mitotic phosphorylation.
PubMed ID: 18669648
PubMed ID: 21269460
Title: Initial characterization of the human central proteome.
PubMed ID: 21269460
PubMed ID: 22814378
Title: N-terminal acetylome analyses and functional insights of the N-terminal acetyltransferase NatB.
PubMed ID: 22814378
PubMed ID: 24275569
Title: An enzyme assisted RP-RPLC approach for in-depth analysis of human liver phosphoproteome.
PubMed ID: 24275569
Sequence Information:
- Length: 291
- Mass: 33049
- Checksum: 26D6D3AF8C300EA6
- Sequence:
MEKLAASTEP QGPRPVLGRE SVQVPDDQDF RSFRSECEAE VGWNLTYSRA GVSVWVQAVE MDRTLHKIKC RMECCDVPAE TLYDVLHDIE YRKKWDSNVI ETFDIARLTV NADVGYYSWR CPKPLKNRDV ITLRSWLPMG ADYIIMNYSV KHPKYPPRKD LVRAVSIQTG YLIQSTGPKS CVITYLAQVD PKGSLPKWVV NKSSQFLAPK AMKKMYKACL KYPEWKQKHL PHFKPWLHPE QSPLPSLALS ELSVQHADSL ENIDESAVAE SREERMGGAG GEGSDDDTSL T
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.