Understanding the Molecular Mechanisms of Asthma through Transcriptomics
Allergy, Asthma & Immunology Research
;
: 399-411, 2020.
Article
in English
| WPRIM
| ID: wpr-811070
ABSTRACT
The transcriptome represents the complete set of RNA transcripts that are produced by the genome under a specific circumstance or in a specific cell. High-throughput methods, including microarray and bulk RNA sequencing, as well as recent advances in biostatistics based on machine learning approaches provides a quick and effective way of identifying novel genes and pathways related to asthma, which is a heterogeneous disease with diverse pathophysiological mechanisms. In this manuscript, we briefly review how to analyze transcriptome data and then provide a summary of recent transcriptome studies focusing on asthma pathogenesis and asthma drug responses. Studies reviewed here are classified into 2 classes based on the tissues utilized blood and airway cells.
Full text:
Available
Index:
WPRIM (Western Pacific)
Main subject:
Asthma
/
RNA
/
Biostatistics
/
Genome
/
Sequence Analysis, RNA
/
Transcriptome
/
Machine Learning
/
Genetics
Language:
English
Journal:
Allergy, Asthma & Immunology Research
Year:
2020
Type:
Article
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