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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.
Subject(s)

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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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