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https://scholarbank.nus.edu.sg/handle/10635/16210
DC Field | Value | |
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dc.title | Development and application of mass spectrometry based proteomics technologies to decipher ku70 functions | |
dc.contributor.author | MENG WEI | |
dc.date.accessioned | 2010-04-08T11:02:13Z | |
dc.date.available | 2010-04-08T11:02:13Z | |
dc.date.issued | 2007-05-25 | |
dc.identifier.citation | MENG WEI (2007-05-25). Development and application of mass spectrometry based proteomics technologies to decipher ku70 functions. ScholarBank@NUS Repository. | |
dc.identifier.uri | http://scholarbank.nus.edu.sg/handle/10635/16210 | |
dc.description.abstract | Ku70 is a protein with multiple biological functions. Given the dual role of Ku70 in DNA repair and apoptosis, it might be a therapeutic target for cancer treatment. We employed epitope-tag purification and mass spectrometry based proteomic methods to characterize the Ku70 protein complex to unravel its biological functions. We also developed a novel effective peptide purification and concentration method for in-gel sample. The pulled-down complex was analyzed by both SDS-PAGE coupled to MALDI-TOF/TOF-MS and shotgun LC-MS/MS proteomics approaches. Consequently, 151 proteins were characterized in Ku70 protein complexes. These proteins play a diverse range of biological functions from DNA repair to transcriptional regulation to cellular signal mediator. As Ku70 acetylation has been reported to be a pivotal post translational modification that regulates Ku70 activities, we finally identified the potential acetylation sites of Ku70 by both in vivo and in vitro acetylation analysis. | |
dc.language.iso | en | |
dc.subject | Ku70; Mass spectrometry; TAP purification; acetylation; Empore disk extraction; PTM | |
dc.type | Thesis | |
dc.contributor.department | BIOLOGICAL SCIENCES | |
dc.contributor.supervisor | SZE SIU KWAN | |
dc.contributor.supervisor | NI BINHUI | |
dc.description.degree | Master's | |
dc.description.degreeconferred | MASTER OF SCIENCE | |
dc.identifier.isiut | NOT_IN_WOS | |
Appears in Collections: | Master's Theses (Open) |
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Meng Wei-Thesis.pdf | 1.87 MB | Adobe PDF | OPEN | None | View/Download |
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