Thr42
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Home > Phosphorylation Site Page: > Thr42  -  CCDC86 (human)

Site Information
FEsNPEEtREPGsPP   SwissProt Entrez-Gene
Blast this site against: NCBI  SwissProt  PDB 
Site Group ID: 4172601

In vivo Characterization
Methods used to characterize site in vivo:
mass spectrometry ( 1 , 2 , 3 , 4 , 5 , 6 , 7 , 8 , 9 , 10 )
Disease tissue studied:
breast cancer ( 2 ) , lung cancer ( 8 )
Relevant cell line - cell type - tissue:

References 

1

Sharma K, et al. (2014) Ultradeep human phosphoproteome reveals a distinct regulatory nature of Tyr and Ser/Thr-based signaling. Cell Rep 8, 1583-94
25159151   Curated Info

2

Yi T, et al. (2014) Quantitative phosphoproteomic analysis reveals system-wide signaling pathways downstream of SDF-1/CXCR4 in breast cancer stem cells. Proc Natl Acad Sci U S A 111, E2182-90
24782546   Curated Info

3

Bian Y, et al. (2014) An enzyme assisted RP-RPLC approach for in-depth analysis of human liver phosphoproteome. J Proteomics 96, 253-62
24275569   Curated Info

4

Zhou H, et al. (2013) Toward a comprehensive characterization of a human cancer cell phosphoproteome. J Proteome Res 12, 260-71
23186163   Curated Info

5

Verano-Braga T, et al. (2012) Time-resolved quantitative phosphoproteomics: new insights into Angiotensin-(1-7) signaling networks in human endothelial cells. J Proteome Res 11, 3370-81
22497526   Curated Info

6

Hsu PP, et al. (2011) The mTOR-regulated phosphoproteome reveals a mechanism of mTORC1-mediated inhibition of growth factor signaling. Science 332, 1317-22
21659604   Curated Info

7

Kettenbach AN, et al. (2011) Quantitative phosphoproteomics identifies substrates and functional modules of aurora and polo-like kinase activities in mitotic cells. Sci Signal 4, rs5
21712546   Curated Info

8

Wang YT, et al. (2010) An informatics-assisted label-free quantitation strategy that depicts phosphoproteomic profiles in lung cancer cell invasion. J Proteome Res 9, 5582-97
20815410   Curated Info

9

Lee HJ, et al. (2009) Quantitative analysis of phosphopeptides in search of the disease biomarker from the hepatocellular carcinoma specimen. Proteomics 9, 3395-408
19562805   Curated Info

10

Cantin GT, et al. (2008) Combining protein-based IMAC, peptide-based IMAC, and MudPIT for efficient phosphoproteomic analysis. J Proteome Res 7, 1346-51
18220336   Curated Info