RNA Sequencing and Analysis
By Kimberly R. Kukurba, Stephen B. Montgomery. Cold Spring Harbor Protocols, 2015
801 citations recorded by the source corpus.
RNA sequencing (RNA-Seq) uses the capabilities of high-throughput sequencing methods to provide insight into the transcriptome of a cell. Compared to previous Sanger sequencing- and microarray-based methods, RNA-Seq provides far higher coverage and greater resolution of the dynamic nature of the transcriptome. Beyond quantifying gene expression, the data generated by RNA-Seq facilitate the discovery of novel transcripts, identification of alternatively spliced genes, and detection of allele-specific expression. Recent advances in the RNA-Seq workflow, from sample preparation to library construction to data analysis, have enabled researchers to further elucidate the functional complexity of the transcription. In addition to polyadenylated messenger RNA (mRNA) transcripts, RNA-Seq can be applied to investigate different populations of RNA, including total RNA, pre-mRNA, and noncoding RNA, such as microRNA and long ncRNA. This article provides an introduction to RNA-Seq methods, including applications, experimental design, and technical challenges.
Subfields: Cancer Research, Molecular Biology
View Paper: https://www.semanticscholar.org/paper/3f151cd74394f0cbaa2274165bf5a311524a0d07
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Molecular Biology
Citations in the corpus
- A practical guide to linking brain-wide gene expression and neuroimaging data (2018, background): “RNA-seq allows precise quanti fi cation of the amount of RNA in the sample without reliance on existing knowledge about genome sequences [for an overview, see Wang et al. (2009); Kukurba and Montgomery (2015)].”
- Genome, transcriptome and proteome: the rise of omics data and their integration in biomedical sciences (2016, methodology): “…DNA (cDNA); (iii) chemically labelling and hybridizing the cDNA to probes on chip (RNA-microarray) or fragmenting the cDNA and building a library to sequence by synthesis (RNA-sequencing); (iv) running the microarray or sequence through the platform of choice; and (v) performing ad hoc QC [55, 56].”