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Open Architecture PCR-Based Methods for Differential Gene Expression Analysis

Title:
Open Architecture PCR-Based Methods for Differential Gene Expression Analysis
Abstract:
Identification and isolation of differentially expressed genes is of great interest for a broad range of medical and biological research fields. For pharmaceutical and pharmacological applications the identification of target genes is of im- portance as well as the investigation of the transcriptional response to drug administration. Over the last two decades sev- eral techniques have been developed for analyzing gene expression in a variety of experimental contexts. Whereas mi- croarrays represent closed architecture systems, restricted to well characterized models with a vast amount of available background data (e.g. human, mouse, etc.), open architecture systems allow detection of novel genes without a priori knowledge of the transcriptome. They are often based on amplification, subtraction and comparative display, and are well suited for so-called non-model organisms with little or no sequence data available. We review here the most common methods and their modifications: mRNA fingerprinting, differential display (DD), cDNA representational difference analysis (RDA) and suppression subtractive hybridization (SSH). The focus is on PCR-based methods that can be con- ducted with minimal bioinformatic and/or high throughput facility support, making them applicable in virtually any labo- ratory having access to basic molecular biology equipment. Furthermore we will give an insight into applications of these techniques in the pharmaceutical / pharmacological field.
Year:
2009
Publication type:
Journal article
Journal:
Current Pharmaceutical Analysis
ISSN:
1573-4129
Number:
1
Volume:
5
Pages:
1-9
Language:
English
Document status:
Published
PubListerURL:
https://publister.bib.th-wildau.de/publister/public/publication/459
Grohme, M., Frohme, M., & Mali, B. (2009). Open Architecture PCR-Based Methods for Differential Gene Expression Analysis Current Pharmaceutical Analysis. 5 (1), 1-9.
@article{459,
    author           = {Grohme, Markus Alexander and Frohme, Marcus and Mali, Brahim},
    title            = {Open Architecture PCR-Based Methods for Differential Gene Expression Analysis},
    journal          = {Current Pharmaceutical Analysis},
    year             = {2009},
    volume           = {5},
    number           = {1},
    pages            = {1-9},
    doi              = {10.2174/157341209787314954 },
}


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