課程資訊
課程名稱
 毒理基因體學
Toxicogenomics 
開課學期
 105-2 
授課對象
 公共衛生學院  環境衛生研究所  
授課教師
 林靖愉 
課號
 EH5018 
課程識別碼
 844EU1260 
班次
  
學分
 2.0 
全/半年
 半年 
必/選修
 選修 
上課時間
 星期一3,4(10:20~12:10) 
上課地點
 公衛207 
備註
 本課程以英語授課。與黃貞祥合開與蔡孟勳、劉貞佑合開
限學士班三年級以上
總人數上限：12人 
Ceiba 課程網頁
 http://ceiba.ntu.edu.tw/1052EH5018_ 
課程簡介影片
 
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課程概述

This is an elective course for students interested in toxicogenomics. Application of genomic technologies, i.e. genomics, transcriptomics, proteomics, and metabolomics will be introduced. Genomic technologies will be first discussed. The course will then focus on application of genomic approaches to study the adverse effects of environmental stressors on health of human and environment at gene, protein, and metabolite level. The class is offered in English. 

課程目標
 To learn the technologies in toxicogenomics and be able to choose techniques to conduct toxicological studies. 
課程要求
 There will be a mid-term and a final examination. An oral presentation is also required. The class is offered in English. 
預期每週課後學習時數
  
Office Hours
  
指定閱讀
  
參考書目
 Applications of Toxicogenomic Technologies to Predictive Toxicology and Risk Assessment, National Academies Press, 2007 
評量方式
(僅供參考)
    
課程進度
週次
日期
單元主題
Week 1
 2/20  Introduction (Lin) 
Week 2
 2/27  Day-off 
Week 3
 3/06  Toxicogenomic technologies— genomics (I) (Ng) 
Week 4
 03/13  Toxicogenomic technologies— genomics (II) (Ng) 
Week 5
 3/20  Toxicogenomic technologies— transcriptomics (I) (Tsai) 
Week 6
 3/27  Toxicogenomic technologies— transcriptomics (II); Genomics lab tour (Tsai) 
Week 7
 4/03  Day-off 
Week 8
 4/10  Toxicogenomic technologies— epigenetics (Liu) 
Week 9
 4/17  Midterm exam 
Week 10
 4/24  Toxicogenomic technologies— proteomics (Lin) 
Week 11
 5/01  Lab tour 
Week 12
 5/08  Toxicogenomic technologies— metabolomics (Lin) 
Week 13
 5/15  Limitation and challenges of toxicogenomic techniques; Experimental design and data analysis (Lin) 
Week 14
 5/22  Application of omic techniques in toxicology (Lin) 
Week 15
 5/29 change date to 6/3  Spectral processing and data analysis; Lab tour
 
Week 16
 6/05  Student presentation 
Week 17
 6/12  Student presentation 
Week 18
 6/19  Final exam