課程資訊
課程名稱
蛋白體與後修飾之質譜分析
Mass Spectrometry-based Proteomics and Protein Modification Analysis 
開課學期
107-2 
授課對象
生命科學院  生化科學研究所  
授課教師
邱繼輝 
課號
BChem5027 
課程識別碼
B46EU0840 
班次
 
學分
2.0 
全/半年
半年 
必/選修
選修 
上課時間
 
上課地點
 
備註
本課程以英語授課。地點為中研院生化所409室,時間:週一下午4點~6點。明年為中文授課
總人數上限:30人 
Ceiba 課程網頁
http://ceiba.ntu.edu.tw/1072BChem5027_ 
課程簡介影片
 
核心能力關聯
核心能力與課程規劃關聯圖
課程大綱
為確保您我的權利,請尊重智慧財產權及不得非法影印
課程概述

This course aims to teach the fundamentals of biological mass spectrometry with particular focus on applications to proteomics and analysis of protein modifications. The course will begin with an introduction to the general aspects of mass spectrometry-based peptide sequencing and protein identification, along with recent technological developments in the context of advancing quantitative shotgun proteomic analysis. Current perspectives in global versus directed analysis, speed versus depth in proteomic coverage, will be discussed. This will then be followed by introducing the practical aspects of MS analysis of select protein modifications, at both the levels of single targeted protein of interest and the proteomic scale. Topics include phosphoproteomics; lysine modifications such as acetylation, methylation, ubiquitination, and SUMOylation; cysteine modifications such as oxidation, glutathionylation and S-nitrosylation; and glycosylation. The last further accompanied by an overview of MS-based glycomics and glycoproteomics. 

課程目標
待補 
課程要求
Opens to life science Master and PhD Students, as well as keen senior undergraduates major in Biochemistry, who have a basic knowledge of protein chemistry and structures, and the commonly found modifications. No absolute prerequisite is set but will be advantageous and encouraged to have first taken one or more of the core courses offered at 生化所 in the first semester eg 蛋白質修飾機制與細胞訊息;結構生化學. Chemistry graduates interested in biology and major in chemical biology are also encouraged and accepted. 
預期每週課後學習時數
 
Office Hours
 
指定閱讀
待補 
參考書目
待補 
評量方式
(僅供參考)
   
課程進度
週次
日期
單元主題
第1週
2019/2/18  Overview on MS-based Proteomics