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An RNA-seq primer for pulmonologists

Authors: Sergio Poli De Frias; Ivan O. Rosas; Sarah G. Chu; Benjamin A. Raby; Benjamin A. Raby;

An RNA-seq primer for pulmonologists

Abstract

With the evolution of high throughput sequencing technologies, the past decade has seen an exponential rise in the use of RNA sequencing (RNA-seq). RNA-seq has deepened our understanding of biological systems to unprecedented levels of resolution, identifying not only gene expression signatures but also regulatory RNA molecules that may play critical roles in disease pathogenesis. Pulmonary research has quickly incorporated this technology, from characterizing the IL-17 signature of steroid-unresponsive COPD patients [1] to discovering pathogen-host interactions of M. tuberculosis [2]. This mini-review provides an overview of core features and applications of RNA-seq to familiarize non-experts with the methodology and how it has impacted our understanding of lung pathophysiology.

Related Organizations
Keywords

Pulmonologists, Sequence Analysis, RNA, Exome Sequencing, Humans, RNA, RNA-Seq

  • BIP!
    Impact byBIP!
    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    3
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
3
Average
Average
Average
bronze