Cited by 13,174Genomics and Phylogenetic StudiesSingle-cell and spatial transcriptomicsRNA Research and Splicing

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RNA-Seq: a revolutionary tool for transcriptomics

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Wang, Zhong, Gerstein, Mark, Snyder, Michael·2009·Nature Reviews Genetics

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Abstract

RNA-Seq is a recently developed approach to transcriptome profiling that uses deep-sequencing technologies. Studies using this method have already altered our view of the extent and complexity of eukaryotic transcriptomes. RNA-Seq also provides a far more precise measurement of levels of transcripts and their isoforms than other methods. This article describes the RNA-Seq approach, the challenges associated with its application, and the advances made so far in characterizing several eukaryote transcriptomes.

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Authors: Wang, Z., Gerstein, M., & Snyder, M.
Affiliations: Yale University (US)
Corresponding author: Snyder, Michael
ORCID: Wang, Zhong
Gerstein, Mark
Snyder, Michael
Venue: Nature Reviews Genetics
Publisher: Springer Science and Business Media LLC
Published: 2009-01
Volume: 10
Issue: 1
Pages: 57-63
ISSN: 1471-0056 (ISSN-L)
1471-0064
DOI: 10.1038/nrg2484
PMC: PMC2949280
OpenAlex: W1981509058
Cited by: 13,174
References: 44
Citations by year: 2026: 518 · 2025: 745 · 2024: 728 · 2023: 662 · 2022: 856 · 2021: 974 · 2020: 916 · 2019: 862 · 2018: 911 · 2017: 867 · 2016: 901 · 2015: 960 · 2014: 900 · 2013: 815 · 2012: 662
FWCI: 22.07
Type: journal article
Language: en
Open access: green
www.ncbi.nlm.nih.gov
Licence: www.springer.com/tdm (tdm)
Locations: Nature Reviews Genetics (publishedVersion)
PubMed (publishedVersion)
PubMed Central (acceptedVersion)
Funders: National Human Genome Research Institute (P50HG002357)
National Cancer Institute (R01CA077808)
Topics: Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Phylogenetic Studies
Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Single-cell and spatial transcriptomics
Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › RNA Research and Splicing
Keywords: RNA-seq, transcriptomics, gene expression profiling, deep sequencing, mRNA isoforms, transcript quantification, next-generation sequencing
MeSH terms: Animals, Base Sequence, Chromosome Mapping, Exons, Humans, Models, Genetic, Molecular Sequence Data, RNA, Transcription, Genetic, Sequence Analysis, RNA, Gene Expression Profiling

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