Gene Expression Profiling of Endocrine Tumors Using DNA Microarrays: Progress and Promise

2003 ◽  
Vol 14 (2) ◽  
pp. 107-116 ◽  
Author(s):  
Thomas J. Giordano
Keyword(s):  
Gene Expression ◽  
Gene Expression Profiling ◽  
Expression Profiling ◽  
Dna Microarrays ◽  
Endocrine Tumors

Preparation of Salmonella enterica Serovar Typhi Genomic DNA Microarrays for Gene Expression Profiling Analysis*

2009 ◽  
Vol 2009 (2) ◽  
pp. 206-212 ◽  
Author(s):  
Xiu-Mei SHENG ◽  
Xin-Xiang HUANG ◽  
Ling-Xiang MAO ◽  
Chao-Wang ZHU ◽  
Shun-Gao XU ◽  
...  
Keyword(s):  
Gene Expression ◽  
Gene Expression Profiling ◽  
Expression Profiling ◽  
Salmonella Enterica ◽  
Genomic Dna ◽  
Dna Microarrays ◽  
Profiling Analysis

scholarly journals Gene expression profiling of wound healing in keratinocytes using DNA microarrays

10.1038/14336 ◽  
1999 ◽  
Vol 23 (S3) ◽  
pp. 54-54
Author(s):  
Claire Johnson ◽  
Frank Burslem ◽  
Jerry Lanfear
Keyword(s):  
Gene Expression ◽  
Wound Healing ◽  
Gene Expression Profiling ◽  
Expression Profiling ◽  
Dna Microarrays

Gene Expression Profiling Using DNA Microarrays

2013 ◽  
pp. 381-391 ◽  
Author(s):  
Kyonoshin Maruyama ◽  
Kazuko Yamaguchi-Shinozaki ◽  
Kazuo Shinozaki
Keyword(s):  
Gene Expression ◽  
Gene Expression Profiling ◽  
Expression Profiling ◽  
Dna Microarrays

scholarly journals In Vitro Transcription Amplification and Labeling Methods Contribute to the Variability of Gene Expression Profiling with DNA Microarrays

2006 ◽  
Vol 8 (2) ◽  
pp. 183-192 ◽  
Author(s):  
Changqing Ma ◽  
Maureen Lyons-Weiler ◽  
Wenjing Liang ◽  
William LaFramboise ◽  
John R. Gilbertson ◽  
...  
Keyword(s):  
Gene Expression ◽  
Gene Expression Profiling ◽  
Expression Profiling ◽  
Dna Microarrays ◽  
In Vitro Transcription

Gene expression profiling of acute cellular rejection in rat liver transplantation using DNA microarrays

2009 ◽  
Vol 15 (5) ◽  
pp. 509-521 ◽  
Author(s):  
Naoki Hama ◽  
Yuka Yanagisawa ◽  
Keizo Dono ◽  
Shogo Kobayashi ◽  
Shigeru Marubashi ◽  
...  
Keyword(s):  
Gene Expression ◽  
Liver Transplantation ◽  
Gene Expression Profiling ◽  
Rat Liver ◽  
Expression Profiling ◽  
Dna Microarrays ◽  
Acute Cellular Rejection ◽  
Rat Liver Transplantation ◽  
Cellular Rejection

An integrated reverse functional genomic and metabolic approach to understanding orotic acid-induced fatty liver

2004 ◽  
Vol 17 (2) ◽  
pp. 140-149 ◽  
Author(s):  
Julian L. Griffin ◽  
Stephanie A. Bonney ◽  
Chris Mann ◽  
Abdul M. Hebbachi ◽  
Geoff F. Gibbons ◽  
...  
Keyword(s):  
Gene Expression ◽  
Fatty Liver ◽  
Gene Expression Profiling ◽  
Stress Responses ◽  
Expression Profiling ◽  
Orotic Acid ◽  
Dna Microarrays ◽  
Data Sets ◽  
Functional Genomic ◽  
H Nmr

In functional genomics, DNA microarrays for gene expression profiling are increasingly being used to provide insights into biological function or pathology. To better understand the significance of the multiple transcriptional changes across a time period, the temporal changes in phenotype must be described. Orotic acid-induced fatty liver disease was investigated at the transcriptional and metabolic levels using microarrays and metabolic profiling in two strains of rats. High-resolution 1H-NMR spectroscopic analysis of liver tissue indicated that Kyoto rats compared with Wistar rats are predisposed to the insult. Metabolite analysis and gene expression profiling following orotic acid treatment identified perturbed metabolic pathways, including those involved in fatty acid, triglyceride, and phospholipid synthesis, β-oxidation, altered nucleotide, methyl donor, and carbohydrate metabolism, and stress responses. Multivariate analysis and statistical bootstrapping were used to investigate co-responses with transcripts involved in metabolism and stress responses. This reverse functional genomic strategy highlighted the relationship between changes in the transcription of stearoyl-CoA desaturase 1 and those of other lipid-related transcripts with changes in NMR-derived lipid profiles. The results suggest that the integration of 1H-NMR and gene expression data sets represents a robust method for identifying a focused line of research in a complex system.

Identification of Potential Therapeutic Targets by Gene-Expression Profiling in Pancreatic Endocrine Tumors

2006 ◽  
Vol 131 (5) ◽  
pp. 1597-1610 ◽  
Author(s):  
Anne Couvelard ◽  
Jiangting Hu ◽  
Graham Steers ◽  
Dermot O‘Toole ◽  
Alain Sauvanet ◽  
...  
Keyword(s):  
Gene Expression ◽  
Gene Expression Profiling ◽  
Expression Profiling ◽  
Therapeutic Targets ◽  
Endocrine Tumors ◽  
Pancreatic Endocrine Tumors

scholarly journals Gene Expression Profiling of Microdissected Pancreatic Ductal Carcinomas Using High-Density DNA Microarrays

Neoplasia ◽  
2004 ◽  
Vol 6 (5) ◽  
pp. 611-622 ◽  
Author(s):  
Robert Grützmann ◽  
Christian Pilarsky ◽  
Ole Ammerpohl ◽  
Jutta Luttges ◽  
Armin Böhme ◽  
...  
Keyword(s):  
Gene Expression ◽  
Gene Expression Profiling ◽  
Expression Profiling ◽  
Dna Microarrays ◽  
High Density ◽  
Ductal Carcinomas
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