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Comparison of dChip and Affymetrix m...

Ng'ang'a, Catherine W.

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Comparison of dChip and Affymetrix microarray analysis: NRF-1 and PGC1 gene expression in type II diabetes.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Comparison of dChip and Affymetrix microarray analysis: NRF-1 and PGC1 gene expression in type II diabetes./
Author:	Ng'ang'a, Catherine W.
Description:	59 p.
Notes:	Adviser: Eric Sakk.
Contained By:	Masters Abstracts International45-05.
Subject:	Biology, Bioinformatics. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1442605

Comparison of dChip and Affymetrix microarray analysis: NRF-1 and PGC1 gene expression in type II diabetes.
Ng'ang'a, Catherine W.

Comparison of dChip and Affymetrix microarray analysis: NRF-1 and PGC1 gene expression in type II diabetes. - 59 p.

Adviser: Eric Sakk.

Thesis (M.S.)--Morgan State University, 2007.

Gene expression analysis is a field that has been given considerable study and has shown potential in the development of diagnosis and treatment methods based on an individual's genotype. As a result of this, various microarray tools have been developed that attempt to quantify transcript levels. This study focuses on dChip and Affymetrix Microarray Suite tools as a as means of expression analysis. DNA-Chip Analyzer (dChip) is a software package implementing model-based expression indexes (MBEI). Affymetrix Microarray Suite Software (MAS) on the other hand uses average difference (MAS4) or signal (MAS5) as expression values.Subjects--Topical Terms:

1018415
Biology, Bioinformatics.

Comparison of dChip and Affymetrix microarray analysis: NRF-1 and PGC1 gene expression in type II diabetes.
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005 20110520
008 110520s2007 ||||||||||||||||| ||eng d
035 $a (UMI)AAI1442605
035 $a AAI1442605
040 $a UMI $c UMI
100 1 $a Ng'ang'a, Catherine W. $3 1267192
245 1 0 $a Comparison of dChip and Affymetrix microarray analysis: NRF-1 and PGC1 gene expression in type II diabetes.
300 $a 59 p.
500 $a Adviser: Eric Sakk.
500 $a Source: Masters Abstracts International, Volume: 45-05, page: 2550.
502 $a Thesis (M.S.)--Morgan State University, 2007.
520 $a Gene expression analysis is a field that has been given considerable study and has shown potential in the development of diagnosis and treatment methods based on an individual's genotype. As a result of this, various microarray tools have been developed that attempt to quantify transcript levels. This study focuses on dChip and Affymetrix Microarray Suite tools as a as means of expression analysis. DNA-Chip Analyzer (dChip) is a software package implementing model-based expression indexes (MBEI). Affymetrix Microarray Suite Software (MAS) on the other hand uses average difference (MAS4) or signal (MAS5) as expression values.
520 $a In this thesis, results are compared between dChip and Affymetrix microarray analysis tools by considering various genes implicated in Type II Diabetes, namely NRF-1 and PGC1-alpha and PGC1-beta which are co-activators of NRF-1. Reduced expression of these genes has been associated with insulin resistance and diabetes mellitus. dChip results are also analyzed and other novel genes are implicated in pathways and cellular processes that are related to insulin uptake and release and are differentially expressed in different subject groups.
590 $a School code: 0755.
650 4 $a Biology, Bioinformatics. $3 1018415
650 4 $a Computer Science. $3 626642
650 4 $a Engineering, Biomedical. $3 1017684
650 4 $a Health Sciences, Public Health. $3 1017659
690 $a 0541
690 $a 0573
690 $a 0715
690 $a 0984
710 2 $a Morgan State University. $3 1021935
773 0 $t Masters Abstracts International $g 45-05.
790 $a 0755
790 1 0 $a Sakk, Eric, $e advisor
791 $a M.S.
792 $a 2007
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1442605