2017
DOI: 10.1111/cts.12511
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Whole Transcriptome Profiling: An RNA‐Seq Primer and Implications for Pharmacogenomics Research

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Cited by 9 publications
(4 citation statements)
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“…However, gene polymorphisms, differences in gene methylation due to age, sex, and environmental factors are all considered contributing factors. 35 , 36 We observed variability in the magnitude (frequency of CD69 + cells in bulk PBMCs, number of DEGs per subject) and the specificity of the response (pathways). Stimulating PBMC in vitro with specific antigen (SPZ) and isolating antigen-specific cells prior to processing samples for transcriptomics reduced the individual variability.…”
Section: Discussionmentioning
confidence: 88%
“…However, gene polymorphisms, differences in gene methylation due to age, sex, and environmental factors are all considered contributing factors. 35 , 36 We observed variability in the magnitude (frequency of CD69 + cells in bulk PBMCs, number of DEGs per subject) and the specificity of the response (pathways). Stimulating PBMC in vitro with specific antigen (SPZ) and isolating antigen-specific cells prior to processing samples for transcriptomics reduced the individual variability.…”
Section: Discussionmentioning
confidence: 88%
“…It is widely known that natural products are characterized by their structural diversity; therefore, the molecular mechanisms of natural products are highly complex [ 35 , 36 ]. RNA-seq is a novel technology that objectively evaluates the molecular mechanisms of drugs at the omics level; observing the change of molecule landscape and biological functions after drug treatment is made possible through RNA-seq [ 37 , 38 ]. In this study, RNA-seq was performed to explore the molecular mechanisms underlying T4O.…”
Section: Discussionmentioning
confidence: 99%
“…The fragments are amplified and then sequenced with millions of short reads (Nagalakshmi et al, 2008). The major advantages of RNA-seq over that of microarray technology is that both low and high abundance RNA transcripts can be detected efficiently, as well as the ability to detect new transcription start sites, new RNA splice sites, new exons, and even new genes (Sá, Sadee, & Johnson, 2018). A number of other new technologies that can be used to analyze different components of the transcriptome, such as sequencing newly synthesized RNA, sequencing mRNA bound to ribosomes, or measuring the rate of RNA degradation, are listed in Table 2. RNA-seq is used in two main ways.…”
Section: Technologies In Transcriptome Researchmentioning
confidence: 99%