RNA sequencing: advances, challenges and opportunities
By Fatih Ozsolak, P. Milos. Nature reviews genetics, 2010
2,132 citations recorded by the source corpus.
In the few years since its initial application, massively parallel cDNA sequencing, or RNA-seq, has allowed many advances in the characterization and quantification of transcriptomes. Recently, several developments in RNA-seq methods have provided an even more complete characterization of RNA transcripts. These developments include improvements in transcription start site mapping, strand-specific measurements, gene fusion detection, small RNA characterization and detection of alternative splicing events. Ongoing developments promise further advances in the application of RNA-seq, particularly direct RNA sequencing and approaches that allow RNA quantification from very small amounts of cellular materials.
Subfields: Molecular Biology
View Paper: https://www.semanticscholar.org/paper/cf2841f590819568ab156862c2506ab633493747
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Citations in the corpus
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- In silico prediction of splice-altering single nucleotide variants in the human genome (2014, background): “A possible solution is to take advantage of the ability of whole transcriptome shotgun sequencing (RNA-seq) to detect alternative splicing (51,52) to recruit variants that do not cause any alternative splicing.”
- A census of human RNA-binding proteins (2014, background): “, 2014), small and long RNA-sequencing (Jan et al., 2011; Ozsolak and Milos, 2011; Wang et al., 2009), or 3’-end sequencing methods profiling of alternative polyadenylation sites and poly(A) tail lengths (Chang et al.”
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- Corset: enabling differential gene expression analysis for de novo assembled transcriptomes (2014, background): “Background Next-generation sequencing of RNA, RNA-seq, is a powerful technology for studying various aspects of the transcriptome; it has a broad range of applications, including gene discovery, detection of alternative splicing events, differential expression analysis, fusion detection and identifi”
- Revisiting Global Gene Expression Analysis (2012, neutral): “Global gene expression analysis uses DNA microarrays, RNA-Seq, and other methods to measure the levels of RNA species in biological systems (Geiss et al., 2008; Heller, 2002; Lockhart and Winzeler, 2000; Ozsolak and Milos, 2011; Schena et al., 1998; Wang et al., 2009).”
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- Sequencing technologies and genome sequencing (2011, methodology): “In the first automated fluorescent DNA sequencing equipment, a complete gene locus for the hypoxanthineguanine phosphoribosyltransferase (HPRT) gene was sequenced, using for the first time the paired-end sequencing approach (Edwards et al. 1990).”