東華大學圖書館 |

語系: 繁體中文

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

Identification of global and specifi...

Chen, Ji.

FindBook

Google Book

Amazon

博客來

Identification of global and specific gene expression patterns based on microarray.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Identification of global and specific gene expression patterns based on microarray./
作者:	Chen, Ji.
面頁冊數:	109 p.
附註:	Source: Dissertation Abstracts International, Volume: 68-02, Section: B, page: 0696.
Contained By:	Dissertation Abstracts International68-02B.
標題:	Biology, Genetics. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3253235

Identification of global and specific gene expression patterns based on microarray.
Chen, Ji.

Identification of global and specific gene expression patterns based on microarray. - 109 p.

Source: Dissertation Abstracts International, Volume: 68-02, Section: B, page: 0696.

Thesis (Ph.D.)--University of Michigan, 2007.

Currently microarray is the most powerful tool in large-scale gene expression profiling. The ability of microarray to easily detect expression of many genes in various samples enables it to provide rich material for studies of tissue specificity; gene response evolution, etc. Also in specific targeted studies, microarray can be used to characterize genome-wide expression of different states, such as disease versus control. This application is becoming increasingly useful in pharmacogenomics research.Subjects--Topical Terms:

1017730
Biology, Genetics.

Identification of global and specific gene expression patterns based on microarray.
LDR:03375nmm 2200277 4500 001 1833304
005 20071001080756.5
008 130610s2007 eng d
035 $a (UMI)AAI3253235
035 $a AAI3253235
040 $a UMI $c UMI
100 1 $a Chen, Ji. $3 1258307
245 1 0 $a Identification of global and specific gene expression patterns based on microarray.
300 $a 109 p.
500 $a Source: Dissertation Abstracts International, Volume: 68-02, Section: B, page: 0696.
500 $a Adviser: David J. States.
502 $a Thesis (Ph.D.)--University of Michigan, 2007.
520 $a Currently microarray is the most powerful tool in large-scale gene expression profiling. The ability of microarray to easily detect expression of many genes in various samples enables it to provide rich material for studies of tissue specificity; gene response evolution, etc. Also in specific targeted studies, microarray can be used to characterize genome-wide expression of different states, such as disease versus control. This application is becoming increasingly useful in pharmacogenomics research.
520 $a In my thesis, I described my work in both general gene expression profiling across tissues and a targeted study. In the first part of my thesis, I introduced a novel, unbiased way of defining conservative gene response patterns based on integration of microarray data, and show that in contrast to earlier analysis methods, biological responses across multiple tissues were considered, and the responses account for a larger fraction of the variation than technical variation due to laboratory or species. 12 conservative gene expression modes (cGEM) which are connected to fundamental biological processes were found. In the second part, tissue specificity modulation of target genes of a specific transcription factor, nuclear factor kappa B (NF-kappaB), was identified based on composite microarray data from human and mouse. Bootstrap validation of clustering was used to evaluate statistical stability of tissue-associated clusters of genes. The discovery was that although NF-kappaB is a ubiquitous cellular factor, tissue variation of gene expression exists for most of its target genes, and some target genes have strong tissue specificity. In the third part, I described a specific microarray application in dental study: profiling of P. gingivalis LPS-induced gene expression in human monocytes on a genome wide basis. P. gingivalis is a Gram-negative bacterium that is recognized as one of the etiologic agents of periodontitis. In our study many genes induced by P. gingivalis LPS were found to be dependent on IKK/NF-kappaB signaling, among which were several families of transcription factors such as AP1 family proteins, nuclear receptor subfamily proteins and EGR-1 family proteins. It is highly possible that IKK/NF-kappaB may utilize these transcription factors to mediate secondary responses. Also promoter sequence analysis revealed NFkappaB binding sites in many of these induced genes, and one of them, egr-2 was confirmed as a novel NF-kappaB target by CHIP assay.
590 $a School code: 0127.
650 4 $a Biology, Genetics. $3 1017730
650 4 $a Biology, Bioinformatics. $3 1018415
690 $a 0369
690 $a 0715
710 2 0 $a University of Michigan. $3 777416
773 0 $t Dissertation Abstracts International $g 68-02B.
790 1 0 $a States, David J., $e advisor
790 $a 0127
791 $a Ph.D.
792 $a 2007
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3253235