RNA-Seq methods for transcriptome analysis
Deep sequencing has been revolutionizing biology and medicine in recent years, providing single base-level precision for our understanding of nucleic acid sequences in high throughput fashion. Sequencing of RNA, or RNA-Seq, is now a common method to analyze gene expression and to uncover novel RNA s...
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| Published in | Wiley interdisciplinary reviews. RNA Vol. 8; no. 1 |
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| Main Authors | , , |
| Format | Journal Article |
| Language | English |
| Published |
United States
01.01.2017
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| Subjects | |
| Online Access | Get more information |
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| Abstract | Deep sequencing has been revolutionizing biology and medicine in recent years, providing single base-level precision for our understanding of nucleic acid sequences in high throughput fashion. Sequencing of RNA, or RNA-Seq, is now a common method to analyze gene expression and to uncover novel RNA species. Aspects of RNA biogenesis and metabolism can be interrogated with specialized methods for cDNA library preparation. In this study, we review current RNA-Seq methods for general analysis of gene expression and several specific applications, including isoform and gene fusion detection, digital gene expression profiling, targeted sequencing and single-cell analysis. In addition, we discuss approaches to examine aspects of RNA in the cell, technical challenges of existing RNA-Seq methods, and future directions. WIREs RNA 2017, 8:e1364. doi: 10.1002/wrna.1364 For further resources related to this article, please visit the WIREs website. |
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| AbstractList | Deep sequencing has been revolutionizing biology and medicine in recent years, providing single base-level precision for our understanding of nucleic acid sequences in high throughput fashion. Sequencing of RNA, or RNA-Seq, is now a common method to analyze gene expression and to uncover novel RNA species. Aspects of RNA biogenesis and metabolism can be interrogated with specialized methods for cDNA library preparation. In this study, we review current RNA-Seq methods for general analysis of gene expression and several specific applications, including isoform and gene fusion detection, digital gene expression profiling, targeted sequencing and single-cell analysis. In addition, we discuss approaches to examine aspects of RNA in the cell, technical challenges of existing RNA-Seq methods, and future directions. WIREs RNA 2017, 8:e1364. doi: 10.1002/wrna.1364 For further resources related to this article, please visit the WIREs website. |
| Author | Tian, Bin Hrdlickova, Radmila Toloue, Masoud |
| Author_xml | – sequence: 1 givenname: Radmila surname: Hrdlickova fullname: Hrdlickova, Radmila organization: Bioo Scientific Inc., Austin, TX, USA – sequence: 2 givenname: Masoud surname: Toloue fullname: Toloue, Masoud organization: Bioo Scientific Inc., Austin, TX, USA – sequence: 3 givenname: Bin surname: Tian fullname: Tian, Bin organization: Department of Microbiology, Biochemistry and Molecular Genetics, Rutgers New Jersey Medical School, Newark, NJ, USA |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/27198714$$D View this record in MEDLINE/PubMed |
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