Understanding the Molecular Mechanisms of Asthma through Transcriptomics

Allergy, Asthma & Immunology Research
Heung Woo Park, Scott T Weiss

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.

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Citations

Jan 22, 2021·Allergy, Asthma & Immunology Research·Han Ki Park, Woo Jung Song

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Methods Mentioned

BETA
biopsy
Chip
lavage
RNAseq
RNA-seq
scRNA-seq

Software Mentioned

BETR
GSEA
BayesPoolMicro
WGCNA
maSigPro
ExAtlas
NetworkAnalyst
EBseq
PANDA
HMM

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