Understanding the Molecular Mechanisms of Asthma through Transcriptomics
10.4168/aair.2020.12.3.399
- Author:
Heung Woo PARK
1
;
Scott T WEISS
Author Information
1. The Channing Division of Network Medicine, Department of Medicine, Brigham & Women's Hospital and Harvard Medical School, Boston, MA, USA. restw@channing.harvard.edu
- Publication Type:Review
- Keywords:
Asthma;
genetics;
transcriptome;
etiology
- MeSH:
Asthma;
Biostatistics;
Genetics;
Genome;
Machine Learning;
RNA;
Sequence Analysis, RNA;
Transcriptome
- From:Allergy, Asthma & Immunology Research
2020;12(3):399-411
- CountryRepublic of Korea
- Language:English
-
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.
