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2016 ; 22
(5
): 500-8
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In-silico modeling of granulomatous diseases
#MMPMID27468134
Crouser ED
Curr Opin Pulm Med
2016[Sep]; 22
(5
): 500-8
PMID27468134
show ga
PURPOSE OF REVIEW: The pathogenesis of genetically complex granulomatous
diseases, such as sarcoidosis and latent tuberculosis, remains largely unknown.
With the recent advent of more powerful research tools, such as genome-wide
expression platforms, comes the challenge of making sense of the enormous data
sets so generated. This manuscript will provide demonstrations of how in-silico
(computer) analysis of large research data sets can lead to novel discoveries in
the field of granulomatous lung disease. RECENT FINDINGS: The application of
in-silico research tools has led to novel discoveries in the fields of
noninfectious (e.g., sarcoidosis) and infectious granulomatous diseases. Computer
models have identified novel disease mechanisms and can be used to perform
'virtual' experiments rapidly and at low cost compared with conventional
laboratory techniques. SUMMARY: Granulomatous lung diseases are extremely
complex, involving dynamic interactions between multiple genes, cells, and
molecules. In-silico interpretation of large data sets generated from new
research platforms that are capable of comprehensively characterizing and
quantifying pools of biological molecules promises to rapidly accelerate the rate
of scientific discovery in the field of granulomatous lung disorders.
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