Using the transcriptome to annotate the genome
Abstract
A remaining challenge for the human genome project involves the identification and annotation of expressed genes. The public and private sequencing efforts have identified approximately 15,000 sequences that meet stringent criteria for genes, such as correspondence with known genes from humans or other species, and have made another approximately 10,000-20,000 gene predictions of lower confidence, supported by various types of in silico evidence, including homology studies, domain searches, and ab initio gene predictions. These computational methods have limitations, both because they are unable to identify a significant fraction of genes and exons and because they are unable to provide definitive evidence about whether a hypothetical gene is actually expressed. As the in silico approaches identified a smaller number of genes than anticipated, we wondered whether high-throughput experimental analyses could be used to provide evidence for the expression of hypothetical genes and to reveal previously undiscovered genes. We describe here the development of such a method--called long serial analysis of gene expression (LongSAGE), an adaption of the original SAGE approach--that can be used to rapidly identify novel genes and exons.
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The longSAGE protocol generates tags that are 21 bp long and provides enhanced efficiency and accuracy of tag-to-gene mapping.
“SAGE has been improved by the development of a longSAGE protocol, which generates tags that are 21 bp long and provides enhanced efficiency and accuracy of tag-to-gene mapping [30-32].”
From A systematic screen for genes expressed in definitive endoderm by Serial Analysis of Gene Expression (SAGE) (2007) · cites this paper as [31]
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- Authors
- Saha, S., Sparks, A. B., Rago, C., Akmaev, V., Wang, C. J., Vogelstein, B., Kinzler, K. W., & Velculescu, V. E.
- Affiliations
- Howard Hughes Medical Institute (US)
- Corresponding author
- Kinzler, Kenneth W.
- Velculescu, Victor E.
- Venue
- Nature Biotechnology
- Published
- 2002-05
- Volume
- 20
- Issue
- 5
- Pages
- 508-512
- ISSN
- 0733-222X (ISSN-L)
- 1087-0156
- 1546-1696
- OpenAlex
- W2002982210
- Cited by
- 630
- References
- 20
- Citations by year
- 2026: 2 · 2025: 1 · 2024: 3 · 2023: 6 · 2022: 6 · 2021: 4 · 2020: 7 · 2019: 14 · 2018: 18 · 2017: 6 · 2016: 8 · 2015: 15 · 2014: 14 · 2013: 15 · 2012: 24
- FWCI
- 19.47
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature Biotechnology (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Cancer Institute (CA 57345)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Phylogenetic Studies
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gene expression and cancer classification
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › RNA Research and Splicing
- Keywords
- LongSAGE, serial analysis of gene expression, transcriptome, genome annotation, gene discovery, exon identification, expressed genes, human genome annotation, sage
- MeSH terms
- Genetic Techniques, Humans, Models, Genetic, RNA, Messenger, Software, Human Genome Project, Genome, DNA, Complementary, Reverse Transcriptase Polymerase Chain Reaction
About these checks
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