Abstract
In order to identify a transcription component of programmed cell death (PCD), this review compiles and cross-compares genome-scale gene expression analyses of several models of apoptosis. Large-scale transcription profiling studies to date have utilized diverse technologies such as cDNA arrays and serial analysis of gene expression (SAGE). Despite the varying technology platforms, commonly regulated genes were identified and fell into three major categories those related to the regulation of cell cycle, inflammatory responses, and oxidative stress. The observation that common markers were regulated across different models of apoptosis demonstrates the utility of genome-scale gene expression analysis for cell death pathway mining.
Keywords: Apoptosis, Arrays, Programmed Cell Death, serial analysis of gene expression sage, Validation
Current Genomics
Title: Apoptosis and Arrays: Identifying a Transcription Component of Programmed Cell Death
Volume: 3 Issue: 1
Author(s): Lillian W. Chiang
Affiliation:
Keywords: Apoptosis, Arrays, Programmed Cell Death, serial analysis of gene expression sage, Validation
Abstract: In order to identify a transcription component of programmed cell death (PCD), this review compiles and cross-compares genome-scale gene expression analyses of several models of apoptosis. Large-scale transcription profiling studies to date have utilized diverse technologies such as cDNA arrays and serial analysis of gene expression (SAGE). Despite the varying technology platforms, commonly regulated genes were identified and fell into three major categories those related to the regulation of cell cycle, inflammatory responses, and oxidative stress. The observation that common markers were regulated across different models of apoptosis demonstrates the utility of genome-scale gene expression analysis for cell death pathway mining.
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Cite this article as:
Chiang W. Lillian, Apoptosis and Arrays: Identifying a Transcription Component of Programmed Cell Death, Current Genomics 2002; 3 (1) . https://dx.doi.org/10.2174/1389202023350624
DOI https://dx.doi.org/10.2174/1389202023350624 |
Print ISSN 1389-2029 |
Publisher Name Bentham Science Publisher |
Online ISSN 1875-5488 |
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