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A high-resolution map of transcription in the yeast genome
Open accessAbstract
There is abundant transcription from eukaryotic genomes unaccounted for by protein coding genes. A high-resolution genome-wide survey of transcription in a well annotated genome will help relate transcriptional complexity to function. By quantifying RNA expression on both strands of the complete genome of Saccharomyces cerevisiae using a high-density oligonucleotide tiling array, this study identifies the boundary, structure, and level of coding and noncoding transcripts. A total of 85% of the genome is expressed in rich media. Apart from expected transcripts, we found operon-like transcripts, transcripts from neighboring genes not separated by intergenic regions, and genes with complex transcriptional architecture where different parts of the same gene are expressed at different levels. We mapped the positions of 3′ and 5′ UTRs of coding genes and identified hundreds of RNA transcripts distinct from annotated genes. These nonannotated transcripts, on average, have lower sequence conservation and lower rates of deletion phenotype than protein coding genes. Many other transcripts overlap known genes in antisense orientation, and for these pairs global correlations were discovered: UTR lengths correlated with gene function, localization, and requirements for regulation; antisense transcripts overlapped 3’ UTRs more than 5’ UTRs; UTRs with overlapping antisense tended to be longer; and the presence of antisense associated with gene function. These findings may suggest a regulatory role of antisense transcription in S. cerevisiae . Moreover, the data show that even this well studied genome has transcriptional complexity far beyond current annotation.
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Evolutionarily conserved elements in vertebrate, insect, worm, and yeast genomes
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Self-citationStark, A., Brennecke, J., Bushati, N., Russell, R. B., & Cohen, S. M. (2005) · Cell · doi:10.1016/j.cell.2005.11.023 · Cited by 1,080
The power of the 3′ UTR: translational control and development.
Kuersten, S., & Goodwin, E. B. (2003) · Nature Reviews Genetics · doi:10.1038/nrg1125 · Cited by 530
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RNA-Seq: a revolutionary tool for transcriptomics
Wang, Z., Gerstein, M., & Snyder, M. (2009) · Nature Reviews Genetics · doi:10.1038/nrg2484 · Cited by 13,174
The ENCODE Project Consortium (2007) · Nature · doi:10.1038/nature05874 · Cited by 5,223
The Transcriptional Landscape of the Yeast Genome Defined by RNA Sequencing
Nagalakshmi, U., Wang, Z., Waern, K., Shou, C., Raha, D., Gerstein, M., & Snyder, M. (2008) · Science · doi:10.1126/science.1158441 · Cited by 2,479
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Global mapping of protein-DNA interactions in vivo by digital genomic footprinting
Hesselberth, J. R., Chen, X., Zhang, Z., Sabo, P. J., Sandstrom, R., Reynolds, A. P., Thurman, R. E., Neph, S., Kuehn, M. S., Noble, W. S., et al. (2009) · Nature Methods · doi:10.1038/nmeth.1313 · Cited by 559
Metadata
- Authors
- David, L., Huber, W., Granovskaia, M., Toedling, J., Palm, C. J., Bofkin, L., Jones, T., Davis, R. W., & Steinmetz, L. M.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2006-04-04
- Volume
- 103
- Issue
- 14
- Pages
- 5320-5325
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W2134597218
- Cited by
- 697
- References
- 4
- FWCI
- 25.29
- Type
- journal article
- Language
- en
- Open access
- green
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- David, L., Huber, W., Granovskaia, M., Toedling, J., Palm, C. J., Bofkin, L., Jones, T., Davis, R. W., & Steinmetz, L. M. (2006). A high-resolution map of transcription in the yeast genome. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.0601091103
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