Table 2.

Clinical diagnostic tests developed from genome-wide gene expression data


Diagnostic methodology

Advantages

Disadvantages

No. of features
Whole genome microarray   Inclusive, universal platform for all applications   Expensive, complex data output   1000s  
Custom microarray   Allows assessment of many genes   Biased in only assessing selected genes   10s to 100s  
Other gene expression platforms: bead or fiberoptic based   Allows assessment of many genes   Requires further validation   10s to 100s  
Antibody microarray   Allows assessment of many proteins   Requires set of specific antibodies   10s to 100s  
Quantitative RT-PCR   Potential to analyze paraffin-embedded specimens   Challenging to multiplex   10s  
Flow cytometry   Routinely available   Limited to cell surface markers   1 to several  
Immunohistochemistry
 
Routinely available, spatial localization, assess morphology
 
Nonquantitative
 
1 to several
 

Diagnostic methodology

Advantages

Disadvantages

No. of features
Whole genome microarray   Inclusive, universal platform for all applications   Expensive, complex data output   1000s  
Custom microarray   Allows assessment of many genes   Biased in only assessing selected genes   10s to 100s  
Other gene expression platforms: bead or fiberoptic based   Allows assessment of many genes   Requires further validation   10s to 100s  
Antibody microarray   Allows assessment of many proteins   Requires set of specific antibodies   10s to 100s  
Quantitative RT-PCR   Potential to analyze paraffin-embedded specimens   Challenging to multiplex   10s  
Flow cytometry   Routinely available   Limited to cell surface markers   1 to several  
Immunohistochemistry
 
Routinely available, spatial localization, assess morphology
 
Nonquantitative
 
1 to several
 

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