語系:
繁體中文
English
說明(常見問題)
回圖書館首頁
手機版館藏查詢
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
Microarray analysis of genes involve...
~
Li, Qi.
FindBook
Google Book
Amazon
博客來
Microarray analysis of genes involved in drug addiction.
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Microarray analysis of genes involved in drug addiction./
作者:
Li, Qi.
面頁冊數:
54 p.
附註:
Source: Masters Abstracts International, Volume: 49-05, page: 3030.
Contained By:
Masters Abstracts International49-05.
標題:
Biology, Bioinformatics. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1492101
ISBN:
9781124628523
Microarray analysis of genes involved in drug addiction.
Li, Qi.
Microarray analysis of genes involved in drug addiction.
- 54 p.
Source: Masters Abstracts International, Volume: 49-05, page: 3030.
Thesis (M.S.)--The University of Texas at San Antonio, 2011.
Drug addiction is a disease of the brain with prominent hazardous effects leading to the collapse of health. It also has vicious influence to the social and economic stability. Long-term administration of drugs will likely lead to addiction, due to the activation and regulation of intracellular pathways in the brain reward system. It is of critical importance to develop a systematic understanding of the molecular mechanisms underlying the development of addiction leading to drug abuse. In this study, we performed secondary analysis of time course microarray expression profiles in response to six addictive drugs (cocaine, ethanol, morphine, methamphetamine, heroin, and nicotine) in the striatum of adult male C57BL/6J inbred mice (Piechota et al, 2010). Several statistical and bioinformatics methods, including two-way ANOVA and hierarchical clustering, were used to identify the genes that showed differential expression with the drug treatments over the time course. Gene ontology and pathway analysis were used to classify the functional categories of the drug-responsive genes and elucidate the cellular networks involving these genes or gene products.
ISBN: 9781124628523Subjects--Topical Terms:
1018415
Biology, Bioinformatics.
Microarray analysis of genes involved in drug addiction.
LDR
:02145nam 2200301 4500
001
1403114
005
20111108080425.5
008
130515s2011 ||||||||||||||||| ||eng d
020
$a
9781124628523
035
$a
(UMI)AAI1492101
035
$a
AAI1492101
040
$a
UMI
$c
UMI
100
1
$a
Li, Qi.
$3
1269967
245
1 0
$a
Microarray analysis of genes involved in drug addiction.
300
$a
54 p.
500
$a
Source: Masters Abstracts International, Volume: 49-05, page: 3030.
500
$a
Adviser: Yufeng Wang.
502
$a
Thesis (M.S.)--The University of Texas at San Antonio, 2011.
520
$a
Drug addiction is a disease of the brain with prominent hazardous effects leading to the collapse of health. It also has vicious influence to the social and economic stability. Long-term administration of drugs will likely lead to addiction, due to the activation and regulation of intracellular pathways in the brain reward system. It is of critical importance to develop a systematic understanding of the molecular mechanisms underlying the development of addiction leading to drug abuse. In this study, we performed secondary analysis of time course microarray expression profiles in response to six addictive drugs (cocaine, ethanol, morphine, methamphetamine, heroin, and nicotine) in the striatum of adult male C57BL/6J inbred mice (Piechota et al, 2010). Several statistical and bioinformatics methods, including two-way ANOVA and hierarchical clustering, were used to identify the genes that showed differential expression with the drug treatments over the time course. Gene ontology and pathway analysis were used to classify the functional categories of the drug-responsive genes and elucidate the cellular networks involving these genes or gene products.
590
$a
School code: 1283.
650
4
$a
Biology, Bioinformatics.
$3
1018415
690
$a
0715
710
2
$a
The University of Texas at San Antonio.
$b
Biology.
$3
1676088
773
0
$t
Masters Abstracts International
$g
49-05.
790
1 0
$a
Wang, Yufeng,
$e
advisor
790
1 0
$a
Wang, Yufeng
$e
committee member
790
1 0
$a
Cassill, J. Aaron
$e
committee member
790
1 0
$a
Livi, Carolina B.
$e
committee member
790
$a
1283
791
$a
M.S.
792
$a
2011
856
4 0
$u
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1492101
筆 0 讀者評論
館藏地:
全部
電子資源
出版年:
卷號:
館藏
1 筆 • 頁數 1 •
1
條碼號
典藏地名稱
館藏流通類別
資料類型
索書號
使用類型
借閱狀態
預約狀態
備註欄
附件
W9166253
電子資源
11.線上閱覽_V
電子書
EB
一般使用(Normal)
在架
0
1 筆 • 頁數 1 •
1
多媒體
評論
新增評論
分享你的心得
Export
取書館
處理中
...
變更密碼
登入